Model_Building.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "import sys\n",
    "from importlib import reload\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import csv\n",
    "\n",
    "from random import randint\n",
    "\n",
    "reload(sys)\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "import xgboost as xgbq\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "import xgboost as xgb\n",
    "\n",
    "\n",
    "from tqdm import tqdm\n",
    "tqdm.pandas()\n",
    "\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>HomeTeam</th>\n",
       "      <th>AwayTeam</th>\n",
       "      <th>CF%</th>\n",
       "      <th>CSh%</th>\n",
       "      <th>CSv%</th>\n",
       "      <th>FF%</th>\n",
       "      <th>FSh%</th>\n",
       "      <th>FSv%</th>\n",
       "      <th>...</th>\n",
       "      <th>PDO</th>\n",
       "      <th>PENDiff</th>\n",
       "      <th>SF%</th>\n",
       "      <th>SDiff</th>\n",
       "      <th>Sh%</th>\n",
       "      <th>Sv</th>\n",
       "      <th>FOW%</th>\n",
       "      <th>W%</th>\n",
       "      <th>FavoritesW%</th>\n",
       "      <th>Result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [ID, Date, HomeTeam, AwayTeam, CF%, CSh%, CSv%, FF%, FSh%, FSv%, GDiff, GF%, PDO, PENDiff, SF%, SDiff, Sh%, Sv, FOW%, W%, FavoritesW%, Result]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 22 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CF%</th>\n",
       "      <th>CSh%</th>\n",
       "      <th>CSv%</th>\n",
       "      <th>FF%</th>\n",
       "      <th>FSh%</th>\n",
       "      <th>FSv%</th>\n",
       "      <th>GDiff</th>\n",
       "      <th>GF%</th>\n",
       "      <th>PDO</th>\n",
       "      <th>PENDiff</th>\n",
       "      <th>SF%</th>\n",
       "      <th>SDiff</th>\n",
       "      <th>Sh%</th>\n",
       "      <th>Sv</th>\n",
       "      <th>FOW%</th>\n",
       "      <th>W%</th>\n",
       "      <th>FavoritesW%</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>1.040103</td>\n",
       "      <td>-1.678695</td>\n",
       "      <td>-0.404192</td>\n",
       "      <td>0.890108</td>\n",
       "      <td>-1.827343</td>\n",
       "      <td>-0.067838</td>\n",
       "      <td>-0.456788</td>\n",
       "      <td>-0.491924</td>\n",
       "      <td>-1.354853</td>\n",
       "      <td>1.010538</td>\n",
       "      <td>0.975585</td>\n",
       "      <td>1.029864</td>\n",
       "      <td>-2.137419</td>\n",
       "      <td>0.066379</td>\n",
       "      <td>0.348422</td>\n",
       "      <td>-0.128719</td>\n",
       "      <td>0.691512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          CF%      CSh%      CSv%       FF%      FSh%      FSv%     GDiff  \\\n",
       "181  1.040103 -1.678695 -0.404192  0.890108 -1.827343 -0.067838 -0.456788   \n",
       "\n",
       "          GF%       PDO   PENDiff       SF%     SDiff       Sh%        Sv  \\\n",
       "181 -0.491924 -1.354853  1.010538  0.975585  1.029864 -2.137419  0.066379   \n",
       "\n",
       "         FOW%        W%  FavoritesW%  \n",
       "181  0.348422 -0.128719     0.691512  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "frame = pd.read_csv(r'/Users/Milton/Developer/Hockey/Article Testing Sandbox/Favorites_Full_Dataset_Games_Standings_2007-2018.csv', index_col=0)\n",
    "\n",
    "# Remove games played in 2017-2018 season and use that dataset to test instead\n",
    "import datetime\n",
    "    \n",
    "def selectGamesFromNewSeason(row):\n",
    "    currentDate = datetime.datetime.strptime(row, '%Y/%m/%d')\n",
    "    startDate = datetime.datetime(2017, 9, 1)\n",
    "    endDate = datetime.datetime(2018, 5, 1)\n",
    "    \n",
    "    if startDate <= currentDate <= endDate:\n",
    "        return True\n",
    "    else: \n",
    "        return False\n",
    "\n",
    "frame.loc[frame['Result'] == 'H', 'Result'] = 1\n",
    "frame.loc[frame['Result'] == 'A', 'Result'] = 0\n",
    "\n",
    "newGamesFrame = frame[frame['Date'].apply(lambda row: selectGamesFromNewSeason(row))]\n",
    "frame = pd.concat([frame, newGamesFrame]).drop_duplicates(keep=False)\n",
    "display(frame.loc[frame['Date'].str.contains('2018')])\n",
    "\n",
    "newx_all = newGamesFrame.drop(['Result', 'ID', 'Date', 'HomeTeam', 'AwayTeam'], axis=1)\n",
    "newy_all = newGamesFrame['Result']\n",
    "\n",
    "x_all = frame.drop(['Result', 'ID', 'Date', 'HomeTeam', 'AwayTeam'], axis=1)\n",
    "y_all = frame['Result']\n",
    "\n",
    "# Standardizing data\n",
    "from sklearn.preprocessing import scale\n",
    "\n",
    "columns = x_all.columns.values\n",
    "\n",
    "for column in columns:\n",
    "    x_all[column] = scale(x_all[column])\n",
    "    \n",
    "newColumns = x_all.columns.values\n",
    "\n",
    "for newColumn in newColumns:\n",
    "    newx_all[newColumn] = scale(newx_all[newColumn])\n",
    "    \n",
    "display(x_all.head(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>HomeTeam</th>\n",
       "      <th>AwayTeam</th>\n",
       "      <th>CF%</th>\n",
       "      <th>CSh%</th>\n",
       "      <th>CSv%</th>\n",
       "      <th>FF%</th>\n",
       "      <th>FSh%</th>\n",
       "      <th>FSv%</th>\n",
       "      <th>...</th>\n",
       "      <th>PDO</th>\n",
       "      <th>PENDiff</th>\n",
       "      <th>SF%</th>\n",
       "      <th>SDiff</th>\n",
       "      <th>Sh%</th>\n",
       "      <th>Sv</th>\n",
       "      <th>FOW%</th>\n",
       "      <th>W%</th>\n",
       "      <th>FavoritesW%</th>\n",
       "      <th>Result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020182</td>\n",
       "      <td>2007/11/02</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>4.42</td>\n",
       "      <td>-1.413540</td>\n",
       "      <td>-0.354732</td>\n",
       "      <td>3.76</td>\n",
       "      <td>-1.988645</td>\n",
       "      <td>-0.079722</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.05</td>\n",
       "      <td>31.0</td>\n",
       "      <td>4.12</td>\n",
       "      <td>4.97</td>\n",
       "      <td>-3.151893</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.1</td>\n",
       "      <td>-0.020979</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020183</td>\n",
       "      <td>2007/11/02</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>10.24</td>\n",
       "      <td>-2.807782</td>\n",
       "      <td>-1.290578</td>\n",
       "      <td>7.69</td>\n",
       "      <td>-3.223536</td>\n",
       "      <td>-1.473762</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.62</td>\n",
       "      <td>7.90</td>\n",
       "      <td>-4.191705</td>\n",
       "      <td>-1.91</td>\n",
       "      <td>3.3</td>\n",
       "      <td>-0.245455</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020184</td>\n",
       "      <td>2007/11/02</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>2.300800</td>\n",
       "      <td>-1.221793</td>\n",
       "      <td>0.94</td>\n",
       "      <td>2.814914</td>\n",
       "      <td>-1.779103</td>\n",
       "      <td>...</td>\n",
       "      <td>1.21</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>1.56</td>\n",
       "      <td>1.85</td>\n",
       "      <td>3.439909</td>\n",
       "      <td>-2.24</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.233333</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020185</td>\n",
       "      <td>2007/11/02</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>-1.47</td>\n",
       "      <td>1.460398</td>\n",
       "      <td>0.251726</td>\n",
       "      <td>-2.41</td>\n",
       "      <td>1.992685</td>\n",
       "      <td>0.476706</td>\n",
       "      <td>...</td>\n",
       "      <td>3.85</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-3.73</td>\n",
       "      <td>-4.03</td>\n",
       "      <td>3.169516</td>\n",
       "      <td>0.67</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>0.016667</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020186</td>\n",
       "      <td>2007/11/02</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>-2.55</td>\n",
       "      <td>-0.427064</td>\n",
       "      <td>0.131494</td>\n",
       "      <td>-3.35</td>\n",
       "      <td>-0.461974</td>\n",
       "      <td>0.301930</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-2.71</td>\n",
       "      <td>-2.61</td>\n",
       "      <td>-0.533771</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.020979</td>\n",
       "      <td>0.440559</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020187</td>\n",
       "      <td>2007/11/02</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>1.60</td>\n",
       "      <td>-0.830282</td>\n",
       "      <td>1.070527</td>\n",
       "      <td>2.45</td>\n",
       "      <td>-0.916607</td>\n",
       "      <td>1.017180</td>\n",
       "      <td>...</td>\n",
       "      <td>0.36</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>1.98</td>\n",
       "      <td>1.99</td>\n",
       "      <td>-1.096545</td>\n",
       "      <td>1.45</td>\n",
       "      <td>6.1</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020188</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>1.06</td>\n",
       "      <td>-0.457981</td>\n",
       "      <td>2.341007</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>-0.038425</td>\n",
       "      <td>2.946117</td>\n",
       "      <td>...</td>\n",
       "      <td>2.83</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3.02</td>\n",
       "      <td>3.57</td>\n",
       "      <td>-0.406343</td>\n",
       "      <td>3.23</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.198718</td>\n",
       "      <td>0.244755</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020189</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>2.66</td>\n",
       "      <td>0.833424</td>\n",
       "      <td>1.068271</td>\n",
       "      <td>3.21</td>\n",
       "      <td>1.333901</td>\n",
       "      <td>1.120448</td>\n",
       "      <td>...</td>\n",
       "      <td>2.91</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>4.11</td>\n",
       "      <td>4.62</td>\n",
       "      <td>0.807193</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2.9</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>0.404040</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020190</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>1.47</td>\n",
       "      <td>0.053590</td>\n",
       "      <td>-0.599915</td>\n",
       "      <td>1.65</td>\n",
       "      <td>0.577136</td>\n",
       "      <td>-1.393353</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.69</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>2.92</td>\n",
       "      <td>3.35</td>\n",
       "      <td>-0.028653</td>\n",
       "      <td>-1.66</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020191</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>1.12</td>\n",
       "      <td>-1.887839</td>\n",
       "      <td>3.019908</td>\n",
       "      <td>3.60</td>\n",
       "      <td>-2.535917</td>\n",
       "      <td>3.420050</td>\n",
       "      <td>...</td>\n",
       "      <td>0.88</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.48</td>\n",
       "      <td>5.24</td>\n",
       "      <td>-3.593985</td>\n",
       "      <td>4.48</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0.053030</td>\n",
       "      <td>0.528926</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020192</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>0.59</td>\n",
       "      <td>1.699713</td>\n",
       "      <td>0.687946</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2.247756</td>\n",
       "      <td>0.494579</td>\n",
       "      <td>...</td>\n",
       "      <td>3.13</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.85</td>\n",
       "      <td>4.72</td>\n",
       "      <td>2.601356</td>\n",
       "      <td>0.53</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.121795</td>\n",
       "      <td>0.207101</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020194</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>-4.35</td>\n",
       "      <td>-1.172439</td>\n",
       "      <td>2.156758</td>\n",
       "      <td>-5.06</td>\n",
       "      <td>-1.522492</td>\n",
       "      <td>2.899552</td>\n",
       "      <td>...</td>\n",
       "      <td>0.63</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-2.07</td>\n",
       "      <td>-2.23</td>\n",
       "      <td>-2.319224</td>\n",
       "      <td>2.95</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>0.076923</td>\n",
       "      <td>0.284024</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020195</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>-4.70</td>\n",
       "      <td>0.064188</td>\n",
       "      <td>2.872688</td>\n",
       "      <td>-0.95</td>\n",
       "      <td>-0.711061</td>\n",
       "      <td>3.333333</td>\n",
       "      <td>...</td>\n",
       "      <td>3.09</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.280602</td>\n",
       "      <td>3.38</td>\n",
       "      <td>-0.7</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.081818</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020196</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>-3.49</td>\n",
       "      <td>0.758170</td>\n",
       "      <td>0.504927</td>\n",
       "      <td>-1.08</td>\n",
       "      <td>0.869467</td>\n",
       "      <td>0.098771</td>\n",
       "      <td>...</td>\n",
       "      <td>0.93</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.971270</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-1.4</td>\n",
       "      <td>0.042857</td>\n",
       "      <td>0.212121</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020197</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.473182</td>\n",
       "      <td>0.328337</td>\n",
       "      <td>3.31</td>\n",
       "      <td>1.119785</td>\n",
       "      <td>0.655627</td>\n",
       "      <td>...</td>\n",
       "      <td>1.71</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.90</td>\n",
       "      <td>5.20</td>\n",
       "      <td>0.727366</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.282051</td>\n",
       "      <td>0.346154</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020198</td>\n",
       "      <td>2007/11/03</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>-4.19</td>\n",
       "      <td>1.489911</td>\n",
       "      <td>-0.248569</td>\n",
       "      <td>-5.20</td>\n",
       "      <td>1.838235</td>\n",
       "      <td>0.094599</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-4.04</td>\n",
       "      <td>-4.29</td>\n",
       "      <td>2.240174</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-6.1</td>\n",
       "      <td>-0.038462</td>\n",
       "      <td>0.131868</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020199</td>\n",
       "      <td>2007/11/04</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>3.36</td>\n",
       "      <td>-0.556384</td>\n",
       "      <td>0.905038</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>-0.077139</td>\n",
       "      <td>1.480792</td>\n",
       "      <td>...</td>\n",
       "      <td>2.14</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>-1.27</td>\n",
       "      <td>-0.316887</td>\n",
       "      <td>2.46</td>\n",
       "      <td>3.4</td>\n",
       "      <td>-0.053030</td>\n",
       "      <td>0.113636</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020200</td>\n",
       "      <td>2007/11/04</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>-5.51</td>\n",
       "      <td>-0.575123</td>\n",
       "      <td>-0.881114</td>\n",
       "      <td>-6.56</td>\n",
       "      <td>-0.896901</td>\n",
       "      <td>-0.850794</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.95</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-7.41</td>\n",
       "      <td>-8.57</td>\n",
       "      <td>-0.309366</td>\n",
       "      <td>-1.64</td>\n",
       "      <td>-2.9</td>\n",
       "      <td>-0.272727</td>\n",
       "      <td>0.450000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020201</td>\n",
       "      <td>2007/11/04</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>2.85</td>\n",
       "      <td>1.010638</td>\n",
       "      <td>-1.007977</td>\n",
       "      <td>2.08</td>\n",
       "      <td>1.322287</td>\n",
       "      <td>-1.026973</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3.45</td>\n",
       "      <td>3.76</td>\n",
       "      <td>1.063407</td>\n",
       "      <td>-1.16</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>0.145833</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020202</td>\n",
       "      <td>2007/11/05</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>5.87</td>\n",
       "      <td>-0.892962</td>\n",
       "      <td>-0.854228</td>\n",
       "      <td>4.07</td>\n",
       "      <td>-0.985071</td>\n",
       "      <td>-0.765915</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.19</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.45</td>\n",
       "      <td>3.90</td>\n",
       "      <td>-1.449776</td>\n",
       "      <td>-0.75</td>\n",
       "      <td>-0.4</td>\n",
       "      <td>-0.076923</td>\n",
       "      <td>0.288462</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020203</td>\n",
       "      <td>2007/11/05</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>10.30</td>\n",
       "      <td>-4.291052</td>\n",
       "      <td>0.663863</td>\n",
       "      <td>10.80</td>\n",
       "      <td>-5.629538</td>\n",
       "      <td>0.865695</td>\n",
       "      <td>...</td>\n",
       "      <td>-7.01</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.87</td>\n",
       "      <td>13.77</td>\n",
       "      <td>-7.864997</td>\n",
       "      <td>0.86</td>\n",
       "      <td>2.7</td>\n",
       "      <td>-0.205128</td>\n",
       "      <td>0.409091</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020204</td>\n",
       "      <td>2007/11/05</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>-2.27</td>\n",
       "      <td>1.881560</td>\n",
       "      <td>0.901427</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.968848</td>\n",
       "      <td>0.756885</td>\n",
       "      <td>...</td>\n",
       "      <td>2.37</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.14</td>\n",
       "      <td>6.24</td>\n",
       "      <td>2.071473</td>\n",
       "      <td>0.29</td>\n",
       "      <td>-2.2</td>\n",
       "      <td>0.186813</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020205</td>\n",
       "      <td>2007/11/05</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>0.42</td>\n",
       "      <td>-1.107633</td>\n",
       "      <td>2.473339</td>\n",
       "      <td>-2.30</td>\n",
       "      <td>-0.630558</td>\n",
       "      <td>3.277003</td>\n",
       "      <td>...</td>\n",
       "      <td>3.01</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>-0.632446</td>\n",
       "      <td>3.64</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.121795</td>\n",
       "      <td>0.151515</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020206</td>\n",
       "      <td>2007/11/05</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>-3.06</td>\n",
       "      <td>-0.930485</td>\n",
       "      <td>2.140182</td>\n",
       "      <td>-4.56</td>\n",
       "      <td>-1.018726</td>\n",
       "      <td>3.047198</td>\n",
       "      <td>...</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.35</td>\n",
       "      <td>-4.98</td>\n",
       "      <td>-1.273131</td>\n",
       "      <td>3.97</td>\n",
       "      <td>-3.1</td>\n",
       "      <td>0.043956</td>\n",
       "      <td>0.514286</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020207</td>\n",
       "      <td>2007/11/05</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>2.45</td>\n",
       "      <td>0.947181</td>\n",
       "      <td>1.906905</td>\n",
       "      <td>1.54</td>\n",
       "      <td>1.398935</td>\n",
       "      <td>2.569959</td>\n",
       "      <td>...</td>\n",
       "      <td>5.38</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>1.90</td>\n",
       "      <td>1.85</td>\n",
       "      <td>2.192303</td>\n",
       "      <td>3.19</td>\n",
       "      <td>-3.5</td>\n",
       "      <td>0.214286</td>\n",
       "      <td>0.413265</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020208</td>\n",
       "      <td>2007/11/05</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>-5.85</td>\n",
       "      <td>0.733359</td>\n",
       "      <td>1.380663</td>\n",
       "      <td>-3.03</td>\n",
       "      <td>0.297347</td>\n",
       "      <td>1.541646</td>\n",
       "      <td>...</td>\n",
       "      <td>1.52</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-0.91</td>\n",
       "      <td>-0.91</td>\n",
       "      <td>-0.406548</td>\n",
       "      <td>1.94</td>\n",
       "      <td>-5.4</td>\n",
       "      <td>0.186813</td>\n",
       "      <td>0.346154</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020209</td>\n",
       "      <td>2007/11/05</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>3.20</td>\n",
       "      <td>-0.725606</td>\n",
       "      <td>0.428650</td>\n",
       "      <td>2.69</td>\n",
       "      <td>-1.083169</td>\n",
       "      <td>0.838249</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.26</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.43</td>\n",
       "      <td>2.58</td>\n",
       "      <td>-1.615350</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.284024</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020210</td>\n",
       "      <td>2007/11/06</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>-4.35</td>\n",
       "      <td>2.621179</td>\n",
       "      <td>-2.677779</td>\n",
       "      <td>-5.61</td>\n",
       "      <td>3.897175</td>\n",
       "      <td>-3.903189</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.89</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>-3.14</td>\n",
       "      <td>-3.61</td>\n",
       "      <td>4.638972</td>\n",
       "      <td>-5.52</td>\n",
       "      <td>-1.9</td>\n",
       "      <td>0.174825</td>\n",
       "      <td>0.307692</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020212</td>\n",
       "      <td>2007/11/06</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>1.76</td>\n",
       "      <td>-0.255754</td>\n",
       "      <td>2.733948</td>\n",
       "      <td>3.29</td>\n",
       "      <td>-0.377024</td>\n",
       "      <td>3.286008</td>\n",
       "      <td>...</td>\n",
       "      <td>3.21</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.18</td>\n",
       "      <td>6.44</td>\n",
       "      <td>-1.367771</td>\n",
       "      <td>4.59</td>\n",
       "      <td>4.3</td>\n",
       "      <td>0.523077</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2007020213</td>\n",
       "      <td>2007/11/07</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>6.80</td>\n",
       "      <td>0.580296</td>\n",
       "      <td>-2.384745</td>\n",
       "      <td>7.68</td>\n",
       "      <td>0.688406</td>\n",
       "      <td>-3.332628</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.61</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.41</td>\n",
       "      <td>8.05</td>\n",
       "      <td>0.543409</td>\n",
       "      <td>-4.16</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>-0.153846</td>\n",
       "      <td>0.224359</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11040</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021201</td>\n",
       "      <td>2017/04/06</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>-1.07</td>\n",
       "      <td>-1.990763</td>\n",
       "      <td>-1.542141</td>\n",
       "      <td>-2.03</td>\n",
       "      <td>-2.569735</td>\n",
       "      <td>-1.878209</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.58</td>\n",
       "      <td>-44.0</td>\n",
       "      <td>-3.52</td>\n",
       "      <td>-4.16</td>\n",
       "      <td>-3.333257</td>\n",
       "      <td>-2.25</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-0.309019</td>\n",
       "      <td>0.340645</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11041</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021202</td>\n",
       "      <td>2017/04/06</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>-3.11</td>\n",
       "      <td>0.236127</td>\n",
       "      <td>0.294405</td>\n",
       "      <td>-2.40</td>\n",
       "      <td>0.190046</td>\n",
       "      <td>0.340429</td>\n",
       "      <td>...</td>\n",
       "      <td>0.41</td>\n",
       "      <td>-38.0</td>\n",
       "      <td>-1.58</td>\n",
       "      <td>-2.03</td>\n",
       "      <td>0.524107</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-2.8</td>\n",
       "      <td>-0.017247</td>\n",
       "      <td>0.342496</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11042</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021203</td>\n",
       "      <td>2017/04/06</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>-0.524236</td>\n",
       "      <td>0.248869</td>\n",
       "      <td>0.27</td>\n",
       "      <td>-1.025140</td>\n",
       "      <td>0.467983</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.86</td>\n",
       "      <td>-48.0</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.96</td>\n",
       "      <td>-0.811592</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>7.3</td>\n",
       "      <td>-0.075000</td>\n",
       "      <td>0.342775</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11043</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021204</td>\n",
       "      <td>2017/04/06</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>4.54</td>\n",
       "      <td>-0.970395</td>\n",
       "      <td>0.161289</td>\n",
       "      <td>4.79</td>\n",
       "      <td>-1.310725</td>\n",
       "      <td>0.143462</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.51</td>\n",
       "      <td>24.0</td>\n",
       "      <td>4.37</td>\n",
       "      <td>4.84</td>\n",
       "      <td>-1.521982</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.6</td>\n",
       "      <td>-0.068987</td>\n",
       "      <td>0.318007</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11044</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021205</td>\n",
       "      <td>2017/04/06</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>1.16</td>\n",
       "      <td>-0.636594</td>\n",
       "      <td>0.179469</td>\n",
       "      <td>1.18</td>\n",
       "      <td>-0.726502</td>\n",
       "      <td>0.113824</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.88</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.42</td>\n",
       "      <td>-0.606140</td>\n",
       "      <td>-0.26</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.005538</td>\n",
       "      <td>0.357798</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11045</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021206</td>\n",
       "      <td>2017/04/07</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.208664</td>\n",
       "      <td>0.748095</td>\n",
       "      <td>0.69</td>\n",
       "      <td>-0.070185</td>\n",
       "      <td>0.635866</td>\n",
       "      <td>...</td>\n",
       "      <td>0.78</td>\n",
       "      <td>-37.0</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.74</td>\n",
       "      <td>-0.189761</td>\n",
       "      <td>0.96</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.081329</td>\n",
       "      <td>0.334909</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11046</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021207</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>-1.137109</td>\n",
       "      <td>0.327242</td>\n",
       "      <td>-1.34</td>\n",
       "      <td>-1.264736</td>\n",
       "      <td>0.341027</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.70</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>-2.015521</td>\n",
       "      <td>0.31</td>\n",
       "      <td>2.4</td>\n",
       "      <td>-0.050000</td>\n",
       "      <td>0.310445</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11047</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021208</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>2.49</td>\n",
       "      <td>-1.184875</td>\n",
       "      <td>-0.958874</td>\n",
       "      <td>3.02</td>\n",
       "      <td>-1.449724</td>\n",
       "      <td>-1.592488</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.83</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1.94</td>\n",
       "      <td>2.18</td>\n",
       "      <td>-1.586660</td>\n",
       "      <td>-2.24</td>\n",
       "      <td>3.4</td>\n",
       "      <td>-0.137500</td>\n",
       "      <td>0.332416</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11048</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021209</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>2.99</td>\n",
       "      <td>-1.003783</td>\n",
       "      <td>-0.918521</td>\n",
       "      <td>3.76</td>\n",
       "      <td>-1.455794</td>\n",
       "      <td>-1.318072</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.83</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3.50</td>\n",
       "      <td>4.17</td>\n",
       "      <td>-2.080450</td>\n",
       "      <td>-1.75</td>\n",
       "      <td>3.2</td>\n",
       "      <td>-0.131790</td>\n",
       "      <td>0.354971</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11049</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021210</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>-0.96</td>\n",
       "      <td>-0.628346</td>\n",
       "      <td>-0.463842</td>\n",
       "      <td>-1.36</td>\n",
       "      <td>-1.099699</td>\n",
       "      <td>-0.226427</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.53</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-2.15</td>\n",
       "      <td>-2.39</td>\n",
       "      <td>-1.484009</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>1.7</td>\n",
       "      <td>-0.137500</td>\n",
       "      <td>0.352930</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11050</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021211</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.777850</td>\n",
       "      <td>-0.012432</td>\n",
       "      <td>-1.35</td>\n",
       "      <td>-0.967552</td>\n",
       "      <td>0.263190</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.81</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-1.53</td>\n",
       "      <td>-1.93</td>\n",
       "      <td>-0.566756</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>2.1</td>\n",
       "      <td>-0.137500</td>\n",
       "      <td>0.348858</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11051</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021212</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>-2.81</td>\n",
       "      <td>-0.118048</td>\n",
       "      <td>-0.980056</td>\n",
       "      <td>-2.95</td>\n",
       "      <td>-0.438433</td>\n",
       "      <td>-0.981455</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.22</td>\n",
       "      <td>46.0</td>\n",
       "      <td>-2.20</td>\n",
       "      <td>-2.50</td>\n",
       "      <td>-0.606512</td>\n",
       "      <td>-1.62</td>\n",
       "      <td>1.6</td>\n",
       "      <td>-0.175000</td>\n",
       "      <td>0.323771</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11052</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021213</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>4.55</td>\n",
       "      <td>-0.180557</td>\n",
       "      <td>-0.791226</td>\n",
       "      <td>4.28</td>\n",
       "      <td>-0.297152</td>\n",
       "      <td>-0.875050</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.32</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3.55</td>\n",
       "      <td>4.39</td>\n",
       "      <td>-0.359721</td>\n",
       "      <td>-0.97</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.354089</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11053</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021214</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>2.85</td>\n",
       "      <td>-1.018398</td>\n",
       "      <td>-0.325033</td>\n",
       "      <td>1.76</td>\n",
       "      <td>-1.238972</td>\n",
       "      <td>-0.274675</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.17</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1.86</td>\n",
       "      <td>2.10</td>\n",
       "      <td>-1.511258</td>\n",
       "      <td>-0.66</td>\n",
       "      <td>2.5</td>\n",
       "      <td>-0.112500</td>\n",
       "      <td>0.340835</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11054</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021215</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Winnipeg Jets</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>-2.03</td>\n",
       "      <td>0.541065</td>\n",
       "      <td>-0.750990</td>\n",
       "      <td>-1.22</td>\n",
       "      <td>0.586834</td>\n",
       "      <td>-1.093252</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>-25.0</td>\n",
       "      <td>-1.92</td>\n",
       "      <td>-2.27</td>\n",
       "      <td>0.726229</td>\n",
       "      <td>-1.15</td>\n",
       "      <td>-3.1</td>\n",
       "      <td>-0.024691</td>\n",
       "      <td>0.331774</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11055</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021216</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>1.61</td>\n",
       "      <td>0.762653</td>\n",
       "      <td>0.654686</td>\n",
       "      <td>2.90</td>\n",
       "      <td>1.049847</td>\n",
       "      <td>0.462536</td>\n",
       "      <td>...</td>\n",
       "      <td>1.81</td>\n",
       "      <td>34.0</td>\n",
       "      <td>3.41</td>\n",
       "      <td>4.02</td>\n",
       "      <td>1.778663</td>\n",
       "      <td>0.04</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>0.132407</td>\n",
       "      <td>0.326887</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11056</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021217</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>-4.62</td>\n",
       "      <td>-1.299954</td>\n",
       "      <td>-0.429412</td>\n",
       "      <td>-5.27</td>\n",
       "      <td>-1.729213</td>\n",
       "      <td>-0.403959</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.94</td>\n",
       "      <td>-41.0</td>\n",
       "      <td>-5.31</td>\n",
       "      <td>-6.32</td>\n",
       "      <td>-2.064125</td>\n",
       "      <td>-0.88</td>\n",
       "      <td>-3.5</td>\n",
       "      <td>-0.222222</td>\n",
       "      <td>0.341727</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11057</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021218</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>-2.00</td>\n",
       "      <td>-0.932056</td>\n",
       "      <td>-0.766897</td>\n",
       "      <td>-4.00</td>\n",
       "      <td>-1.196854</td>\n",
       "      <td>-0.573790</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.33</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>-4.24</td>\n",
       "      <td>-4.90</td>\n",
       "      <td>-1.690095</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>4.1</td>\n",
       "      <td>-0.187500</td>\n",
       "      <td>0.360203</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11058</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021219</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>1.03</td>\n",
       "      <td>-0.506247</td>\n",
       "      <td>0.580305</td>\n",
       "      <td>2.10</td>\n",
       "      <td>-0.595998</td>\n",
       "      <td>0.429573</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>71.0</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.75</td>\n",
       "      <td>-0.440222</td>\n",
       "      <td>0.41</td>\n",
       "      <td>-0.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.331486</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11059</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021220</td>\n",
       "      <td>2017/04/08</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>4.99</td>\n",
       "      <td>-1.260805</td>\n",
       "      <td>-0.294531</td>\n",
       "      <td>5.44</td>\n",
       "      <td>-1.859389</td>\n",
       "      <td>-0.380703</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.13</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>5.48</td>\n",
       "      <td>6.14</td>\n",
       "      <td>-1.899798</td>\n",
       "      <td>-1.22</td>\n",
       "      <td>3.2</td>\n",
       "      <td>-0.142284</td>\n",
       "      <td>0.315081</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11060</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021221</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>1.52</td>\n",
       "      <td>0.091504</td>\n",
       "      <td>-0.136936</td>\n",
       "      <td>1.35</td>\n",
       "      <td>0.213342</td>\n",
       "      <td>-0.241488</td>\n",
       "      <td>...</td>\n",
       "      <td>0.05</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.23</td>\n",
       "      <td>0.493345</td>\n",
       "      <td>-0.44</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.349238</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11061</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021222</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>3.81</td>\n",
       "      <td>0.459144</td>\n",
       "      <td>-0.436703</td>\n",
       "      <td>3.48</td>\n",
       "      <td>0.710913</td>\n",
       "      <td>-0.589596</td>\n",
       "      <td>...</td>\n",
       "      <td>0.51</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.52</td>\n",
       "      <td>3.18</td>\n",
       "      <td>1.355305</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>0.093673</td>\n",
       "      <td>0.366898</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11062</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021223</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>-0.77</td>\n",
       "      <td>0.674774</td>\n",
       "      <td>-0.463888</td>\n",
       "      <td>-0.75</td>\n",
       "      <td>0.846013</td>\n",
       "      <td>-0.579691</td>\n",
       "      <td>...</td>\n",
       "      <td>0.45</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-1.07</td>\n",
       "      <td>-1.29</td>\n",
       "      <td>1.165557</td>\n",
       "      <td>-0.72</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>-0.050000</td>\n",
       "      <td>0.328022</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11063</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021224</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>0.31</td>\n",
       "      <td>-0.361508</td>\n",
       "      <td>-0.519387</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.532357</td>\n",
       "      <td>-0.545714</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.10</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-1.06</td>\n",
       "      <td>-1.29</td>\n",
       "      <td>-0.135057</td>\n",
       "      <td>-0.97</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-0.125000</td>\n",
       "      <td>0.338076</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11064</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021225</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>0.92</td>\n",
       "      <td>1.642481</td>\n",
       "      <td>1.051190</td>\n",
       "      <td>2.21</td>\n",
       "      <td>2.107367</td>\n",
       "      <td>1.132898</td>\n",
       "      <td>...</td>\n",
       "      <td>4.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.84</td>\n",
       "      <td>2.806357</td>\n",
       "      <td>1.27</td>\n",
       "      <td>-3.4</td>\n",
       "      <td>0.275000</td>\n",
       "      <td>0.346156</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11065</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021226</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>-0.67</td>\n",
       "      <td>-0.194233</td>\n",
       "      <td>0.078428</td>\n",
       "      <td>-0.78</td>\n",
       "      <td>-0.277692</td>\n",
       "      <td>0.153883</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-1.04</td>\n",
       "      <td>-1.29</td>\n",
       "      <td>0.239535</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-0.037500</td>\n",
       "      <td>0.337045</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11066</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021227</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>-0.149625</td>\n",
       "      <td>0.221859</td>\n",
       "      <td>1.13</td>\n",
       "      <td>-0.185171</td>\n",
       "      <td>-0.131922</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.57</td>\n",
       "      <td>0.66</td>\n",
       "      <td>-0.274501</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.7</td>\n",
       "      <td>0.037500</td>\n",
       "      <td>0.334673</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11067</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021228</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>-0.27</td>\n",
       "      <td>1.268457</td>\n",
       "      <td>1.335502</td>\n",
       "      <td>0.03</td>\n",
       "      <td>1.939562</td>\n",
       "      <td>1.415912</td>\n",
       "      <td>...</td>\n",
       "      <td>4.17</td>\n",
       "      <td>-39.0</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.59</td>\n",
       "      <td>2.883481</td>\n",
       "      <td>1.29</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.262500</td>\n",
       "      <td>0.363674</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11068</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021229</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>-5.37</td>\n",
       "      <td>0.829002</td>\n",
       "      <td>0.620459</td>\n",
       "      <td>-5.24</td>\n",
       "      <td>0.968081</td>\n",
       "      <td>0.948537</td>\n",
       "      <td>...</td>\n",
       "      <td>2.62</td>\n",
       "      <td>-23.0</td>\n",
       "      <td>-4.85</td>\n",
       "      <td>-5.40</td>\n",
       "      <td>1.263800</td>\n",
       "      <td>1.36</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.080556</td>\n",
       "      <td>0.325646</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11069</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2016021230</td>\n",
       "      <td>2017/04/09</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>2.02</td>\n",
       "      <td>0.938942</td>\n",
       "      <td>0.775082</td>\n",
       "      <td>4.06</td>\n",
       "      <td>1.197223</td>\n",
       "      <td>0.581201</td>\n",
       "      <td>...</td>\n",
       "      <td>2.36</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.93</td>\n",
       "      <td>1.695788</td>\n",
       "      <td>0.66</td>\n",
       "      <td>-4.1</td>\n",
       "      <td>0.187500</td>\n",
       "      <td>0.360882</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9257 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              ID        Date  \\\n",
       "181    https://www.nhl.com/gamecenter/2007020182  2007/11/02   \n",
       "182    https://www.nhl.com/gamecenter/2007020183  2007/11/02   \n",
       "183    https://www.nhl.com/gamecenter/2007020184  2007/11/02   \n",
       "184    https://www.nhl.com/gamecenter/2007020185  2007/11/02   \n",
       "185    https://www.nhl.com/gamecenter/2007020186  2007/11/02   \n",
       "186    https://www.nhl.com/gamecenter/2007020187  2007/11/02   \n",
       "187    https://www.nhl.com/gamecenter/2007020188  2007/11/03   \n",
       "188    https://www.nhl.com/gamecenter/2007020189  2007/11/03   \n",
       "189    https://www.nhl.com/gamecenter/2007020190  2007/11/03   \n",
       "190    https://www.nhl.com/gamecenter/2007020191  2007/11/03   \n",
       "191    https://www.nhl.com/gamecenter/2007020192  2007/11/03   \n",
       "193    https://www.nhl.com/gamecenter/2007020194  2007/11/03   \n",
       "194    https://www.nhl.com/gamecenter/2007020195  2007/11/03   \n",
       "195    https://www.nhl.com/gamecenter/2007020196  2007/11/03   \n",
       "196    https://www.nhl.com/gamecenter/2007020197  2007/11/03   \n",
       "197    https://www.nhl.com/gamecenter/2007020198  2007/11/03   \n",
       "198    https://www.nhl.com/gamecenter/2007020199  2007/11/04   \n",
       "199    https://www.nhl.com/gamecenter/2007020200  2007/11/04   \n",
       "200    https://www.nhl.com/gamecenter/2007020201  2007/11/04   \n",
       "201    https://www.nhl.com/gamecenter/2007020202  2007/11/05   \n",
       "202    https://www.nhl.com/gamecenter/2007020203  2007/11/05   \n",
       "203    https://www.nhl.com/gamecenter/2007020204  2007/11/05   \n",
       "204    https://www.nhl.com/gamecenter/2007020205  2007/11/05   \n",
       "205    https://www.nhl.com/gamecenter/2007020206  2007/11/05   \n",
       "206    https://www.nhl.com/gamecenter/2007020207  2007/11/05   \n",
       "207    https://www.nhl.com/gamecenter/2007020208  2007/11/05   \n",
       "208    https://www.nhl.com/gamecenter/2007020209  2007/11/05   \n",
       "209    https://www.nhl.com/gamecenter/2007020210  2007/11/06   \n",
       "211    https://www.nhl.com/gamecenter/2007020212  2007/11/06   \n",
       "212    https://www.nhl.com/gamecenter/2007020213  2007/11/07   \n",
       "...                                          ...         ...   \n",
       "11040  https://www.nhl.com/gamecenter/2016021201  2017/04/06   \n",
       "11041  https://www.nhl.com/gamecenter/2016021202  2017/04/06   \n",
       "11042  https://www.nhl.com/gamecenter/2016021203  2017/04/06   \n",
       "11043  https://www.nhl.com/gamecenter/2016021204  2017/04/06   \n",
       "11044  https://www.nhl.com/gamecenter/2016021205  2017/04/06   \n",
       "11045  https://www.nhl.com/gamecenter/2016021206  2017/04/07   \n",
       "11046  https://www.nhl.com/gamecenter/2016021207  2017/04/08   \n",
       "11047  https://www.nhl.com/gamecenter/2016021208  2017/04/08   \n",
       "11048  https://www.nhl.com/gamecenter/2016021209  2017/04/08   \n",
       "11049  https://www.nhl.com/gamecenter/2016021210  2017/04/08   \n",
       "11050  https://www.nhl.com/gamecenter/2016021211  2017/04/08   \n",
       "11051  https://www.nhl.com/gamecenter/2016021212  2017/04/08   \n",
       "11052  https://www.nhl.com/gamecenter/2016021213  2017/04/08   \n",
       "11053  https://www.nhl.com/gamecenter/2016021214  2017/04/08   \n",
       "11054  https://www.nhl.com/gamecenter/2016021215  2017/04/08   \n",
       "11055  https://www.nhl.com/gamecenter/2016021216  2017/04/08   \n",
       "11056  https://www.nhl.com/gamecenter/2016021217  2017/04/08   \n",
       "11057  https://www.nhl.com/gamecenter/2016021218  2017/04/08   \n",
       "11058  https://www.nhl.com/gamecenter/2016021219  2017/04/08   \n",
       "11059  https://www.nhl.com/gamecenter/2016021220  2017/04/08   \n",
       "11060  https://www.nhl.com/gamecenter/2016021221  2017/04/09   \n",
       "11061  https://www.nhl.com/gamecenter/2016021222  2017/04/09   \n",
       "11062  https://www.nhl.com/gamecenter/2016021223  2017/04/09   \n",
       "11063  https://www.nhl.com/gamecenter/2016021224  2017/04/09   \n",
       "11064  https://www.nhl.com/gamecenter/2016021225  2017/04/09   \n",
       "11065  https://www.nhl.com/gamecenter/2016021226  2017/04/09   \n",
       "11066  https://www.nhl.com/gamecenter/2016021227  2017/04/09   \n",
       "11067  https://www.nhl.com/gamecenter/2016021228  2017/04/09   \n",
       "11068  https://www.nhl.com/gamecenter/2016021229  2017/04/09   \n",
       "11069  https://www.nhl.com/gamecenter/2016021230  2017/04/09   \n",
       "\n",
       "                    HomeTeam               AwayTeam    CF%      CSh%  \\\n",
       "181        New Jersey Devils    Toronto Maple Leafs   4.42 -1.413540   \n",
       "182      Washington Capitals    Philadelphia Flyers  10.24 -2.807782   \n",
       "183           Buffalo Sabres       Florida Panthers  -0.13  2.300800   \n",
       "184             Dallas Stars                Coyotes  -1.47  1.460398   \n",
       "185          Edmonton Oilers    Nashville Predators  -2.55 -0.427064   \n",
       "186          San Jose Sharks      Los Angeles Kings   1.60 -0.830282   \n",
       "187       Montréal Canadiens    Toronto Maple Leafs   1.06 -0.457981   \n",
       "188          Ottawa Senators          Boston Bruins   2.66  0.833424   \n",
       "189       New York Islanders    Pittsburgh Penguins   1.47  0.053590   \n",
       "190         New York Rangers      New Jersey Devils   1.12 -1.887839   \n",
       "191      Carolina Hurricanes       Florida Panthers   0.59  1.699713   \n",
       "193           Minnesota Wild         Calgary Flames  -4.35 -1.172439   \n",
       "194          St. Louis Blues     Chicago Blackhawks  -4.70  0.064188   \n",
       "195                  Coyotes          Anaheim Ducks  -3.49  0.758170   \n",
       "196       Colorado Avalanche      Vancouver Canucks   1.40  1.473182   \n",
       "197        Los Angeles Kings        San Jose Sharks  -4.19  1.489911   \n",
       "198    Columbus Blue Jackets        St. Louis Blues   3.36 -0.556384   \n",
       "199            Boston Bruins        Ottawa Senators  -5.51 -0.575123   \n",
       "200       Chicago Blackhawks    Nashville Predators   2.85  1.010638   \n",
       "201        New Jersey Devils    Pittsburgh Penguins   5.87 -0.892962   \n",
       "202         New York Rangers    Philadelphia Flyers  10.30 -4.291052   \n",
       "203      Carolina Hurricanes    Washington Capitals  -2.27  1.881560   \n",
       "204       Montréal Canadiens         Buffalo Sabres   0.42 -1.107633   \n",
       "205         Florida Panthers    Tampa Bay Lightning  -3.06 -0.930485   \n",
       "206           Minnesota Wild        Edmonton Oilers   2.45  0.947181   \n",
       "207       Colorado Avalanche         Calgary Flames  -5.85  0.733359   \n",
       "208            Anaheim Ducks           Dallas Stars   3.20 -0.725606   \n",
       "209       New York Islanders       New York Rangers  -4.35  2.621179   \n",
       "211          Ottawa Senators    Toronto Maple Leafs   1.76 -0.255754   \n",
       "212           Buffalo Sabres          Boston Bruins   6.80  0.580296   \n",
       "...                      ...                    ...    ...       ...   \n",
       "11040     Colorado Avalanche         Minnesota Wild  -1.07 -1.990763   \n",
       "11041                Coyotes      Vancouver Canucks  -3.11  0.236127   \n",
       "11042          Anaheim Ducks     Chicago Blackhawks  -0.31 -0.524236   \n",
       "11043      Los Angeles Kings         Calgary Flames   4.54 -0.970395   \n",
       "11044        San Jose Sharks        Edmonton Oilers   1.16 -0.636594   \n",
       "11045     Montréal Canadiens    Tampa Bay Lightning   0.07 -0.208664   \n",
       "11046        Ottawa Senators       New York Rangers  -0.84 -1.137109   \n",
       "11047    Philadelphia Flyers  Columbus Blue Jackets   2.49 -1.184875   \n",
       "11048          Boston Bruins    Washington Capitals   2.99 -1.003783   \n",
       "11049      New Jersey Devils     New York Islanders  -0.96 -0.628346   \n",
       "11050    Toronto Maple Leafs    Pittsburgh Penguins  -0.02 -0.777850   \n",
       "11051      Detroit Red Wings     Montréal Canadiens  -2.81 -0.118048   \n",
       "11052       Florida Panthers         Buffalo Sabres   4.55 -0.180557   \n",
       "11053    Carolina Hurricanes        St. Louis Blues   2.85 -1.018398   \n",
       "11054          Winnipeg Jets    Nashville Predators  -2.03  0.541065   \n",
       "11055           Dallas Stars     Colorado Avalanche   1.61  0.762653   \n",
       "11056                Coyotes         Minnesota Wild  -4.62 -1.299954   \n",
       "11057      Vancouver Canucks        Edmonton Oilers  -2.00 -0.932056   \n",
       "11058        San Jose Sharks         Calgary Flames   1.03 -0.506247   \n",
       "11059      Los Angeles Kings     Chicago Blackhawks   4.99 -1.260805   \n",
       "11060      Detroit Red Wings      New Jersey Devils   1.52  0.091504   \n",
       "11061    Tampa Bay Lightning         Buffalo Sabres   3.81  0.459144   \n",
       "11062     New York Islanders        Ottawa Senators  -0.77  0.674774   \n",
       "11063    Toronto Maple Leafs  Columbus Blue Jackets   0.31 -0.361508   \n",
       "11064        St. Louis Blues     Colorado Avalanche   0.92  1.642481   \n",
       "11065       New York Rangers    Pittsburgh Penguins  -0.67 -0.194233   \n",
       "11066    Philadelphia Flyers    Carolina Hurricanes  -0.32 -0.149625   \n",
       "11067    Washington Capitals       Florida Panthers  -0.27  1.268457   \n",
       "11068          Anaheim Ducks      Los Angeles Kings  -5.37  0.829002   \n",
       "11069        Edmonton Oilers      Vancouver Canucks   2.02  0.938942   \n",
       "\n",
       "           CSv%    FF%      FSh%      FSv%   ...     PDO  PENDiff    SF%  \\\n",
       "181   -0.354732   3.76 -1.988645 -0.079722   ...   -3.05     31.0   4.12   \n",
       "182   -1.290578   7.69 -3.223536 -1.473762   ...   -6.10      7.0   6.62   \n",
       "183   -1.221793   0.94  2.814914 -1.779103   ...    1.21     -7.0   1.56   \n",
       "184    0.251726  -2.41  1.992685  0.476706   ...    3.85     -7.0  -3.73   \n",
       "185    0.131494  -3.35 -0.461974  0.301930   ...   -0.55      8.0  -2.71   \n",
       "186    1.070527   2.45 -0.916607  1.017180   ...    0.36     -7.0   1.98   \n",
       "187    2.341007  -0.36 -0.038425  2.946117   ...    2.83     33.0   3.02   \n",
       "188    1.068271   3.21  1.333901  1.120448   ...    2.91     -6.0   4.11   \n",
       "189   -0.599915   1.65  0.577136 -1.393353   ...   -1.69    -15.0   2.92   \n",
       "190    3.019908   3.60 -2.535917  3.420050   ...    0.88      1.0   4.48   \n",
       "191    0.687946   2.10  2.247756  0.494579   ...    3.13      6.0   3.85   \n",
       "193    2.156758  -5.06 -1.522492  2.899552   ...    0.63     -2.0  -2.07   \n",
       "194    2.872688  -0.95 -0.711061  3.333333   ...    3.09     -6.0   0.07   \n",
       "195    0.504927  -1.08  0.869467  0.098771   ...    0.93      2.0   0.08   \n",
       "196    0.328337   3.31  1.119785  0.655627   ...    1.71      3.0   4.90   \n",
       "197   -0.248569  -5.20  1.838235  0.094599   ...    2.20     -1.0  -4.04   \n",
       "198    0.905038  -0.24 -0.077139  1.480792   ...    2.14     -2.0  -1.20   \n",
       "199   -0.881114  -6.56 -0.896901 -0.850794   ...   -1.95     -2.0  -7.41   \n",
       "200   -1.007977   2.08  1.322287 -1.026973   ...   -0.09     12.0   3.45   \n",
       "201   -0.854228   4.07 -0.985071 -0.765915   ...   -2.19      2.0   3.45   \n",
       "202    0.663863  10.80 -5.629538  0.865695   ...   -7.01      8.0  11.87   \n",
       "203    0.901427   1.41  1.968848  0.756885   ...    2.37     13.0   5.14   \n",
       "204    2.473339  -2.30 -0.630558  3.277003   ...    3.01      8.0  -0.22   \n",
       "205    2.140182  -4.56 -1.018726  3.047198   ...    2.70      0.0  -4.35   \n",
       "206    1.906905   1.54  1.398935  2.569959   ...    5.38    -10.0   1.90   \n",
       "207    1.380663  -3.03  0.297347  1.541646   ...    1.52     10.0  -0.91   \n",
       "208    0.428650   2.69 -1.083169  0.838249   ...   -0.26     12.0   2.43   \n",
       "209   -2.677779  -5.61  3.897175 -3.903189   ...   -0.89    -14.0  -3.14   \n",
       "211    2.733948   3.29 -0.377024  3.286008   ...    3.21     25.0   5.18   \n",
       "212   -2.384745   7.68  0.688406 -3.332628   ...   -3.61      5.0   7.41   \n",
       "...         ...    ...       ...       ...   ...     ...      ...    ...   \n",
       "11040 -1.542141  -2.03 -2.569735 -1.878209   ...   -5.58    -44.0  -3.52   \n",
       "11041  0.294405  -2.40  0.190046  0.340429   ...    0.41    -38.0  -1.58   \n",
       "11042  0.248869   0.27 -1.025140  0.467983   ...   -0.86    -48.0   0.79   \n",
       "11043  0.161289   4.79 -1.310725  0.143462   ...   -1.51     24.0   4.37   \n",
       "11044  0.179469   1.18 -0.726502  0.113824   ...   -0.88     23.0   1.27   \n",
       "11045  0.748095   0.69 -0.070185  0.635866   ...    0.78    -37.0   0.63   \n",
       "11046  0.327242  -1.34 -1.264736  0.341027   ...   -1.70    -18.0  -0.16   \n",
       "11047 -0.958874   3.02 -1.449724 -1.592488   ...   -3.83     31.0   1.94   \n",
       "11048 -0.918521   3.76 -1.455794 -1.318072   ...   -3.83     12.0   3.50   \n",
       "11049 -0.463842  -1.36 -1.099699 -0.226427   ...   -1.53    -12.0  -2.15   \n",
       "11050 -0.012432  -1.35 -0.967552  0.263190   ...   -0.81    -15.0  -1.53   \n",
       "11051 -0.980056  -2.95 -0.438433 -0.981455   ...   -2.22     46.0  -2.20   \n",
       "11052 -0.791226   4.28 -0.297152 -0.875050   ...   -1.32     12.0   3.55   \n",
       "11053 -0.325033   1.76 -1.238972 -0.274675   ...   -2.17     60.0   1.86   \n",
       "11054 -0.750990  -1.22  0.586834 -1.093252   ...   -0.43    -25.0  -1.92   \n",
       "11055  0.654686   2.90  1.049847  0.462536   ...    1.81     34.0   3.41   \n",
       "11056 -0.429412  -5.27 -1.729213 -0.403959   ...   -2.94    -41.0  -5.31   \n",
       "11057 -0.766897  -4.00 -1.196854 -0.573790   ...   -2.33    -13.0  -4.24   \n",
       "11058  0.580305   2.10 -0.595998  0.429573   ...   -0.02     71.0   1.53   \n",
       "11059 -0.294531   5.44 -1.859389 -0.380703   ...   -3.13    -20.0   5.48   \n",
       "11060 -0.136936   1.35  0.213342 -0.241488   ...    0.05     24.0   1.04   \n",
       "11061 -0.436703   3.48  0.710913 -0.589596   ...    0.51     10.0   2.52   \n",
       "11062 -0.463888  -0.75  0.846013 -0.579691   ...    0.45      3.0  -1.07   \n",
       "11063 -0.519387  -0.11 -0.532357 -0.545714   ...   -1.10     -2.0  -1.06   \n",
       "11064  1.051190   2.21  2.107367  1.132898   ...    4.07      0.0   3.27   \n",
       "11065  0.078428  -0.78 -0.277692  0.153883   ...    0.01     10.0  -1.04   \n",
       "11066  0.221859   1.13 -0.185171 -0.131922   ...   -0.22      3.0   0.57   \n",
       "11067  1.335502   0.03  1.939562  1.415912   ...    4.17    -39.0   1.45   \n",
       "11068  0.620459  -5.24  0.968081  0.948537   ...    2.62    -23.0  -4.85   \n",
       "11069  0.775082   4.06  1.197223  0.581201   ...    2.36     11.0   4.27   \n",
       "\n",
       "       SDiff       Sh%    Sv  FOW%        W%  FavoritesW%  Result  \n",
       "181     4.97 -3.151893  0.10   1.1 -0.020979     0.350000       1  \n",
       "182     7.90 -4.191705 -1.91   3.3 -0.245455     0.420000       0  \n",
       "183     1.85  3.439909 -2.24   2.2  0.083333     0.233333       0  \n",
       "184    -4.03  3.169516  0.67  -0.5  0.016667     0.200000       0  \n",
       "185    -2.61 -0.533771 -0.01   1.2  0.020979     0.440559       0  \n",
       "186     1.99 -1.096545  1.45   6.1  0.038462     0.153846       0  \n",
       "187     3.57 -0.406343  3.23   1.1  0.198718     0.244755       0  \n",
       "188     4.62  0.807193  2.10   2.9  0.272727     0.404040       1  \n",
       "189     3.35 -0.028653 -1.66   0.2  0.100000     0.111111       1  \n",
       "190     5.24 -3.593985  4.48   3.5  0.053030     0.528926       1  \n",
       "191     4.72  2.601356  0.53   5.9  0.121795     0.207101       1  \n",
       "193    -2.23 -2.319224  2.95  -3.0  0.076923     0.284024       1  \n",
       "194     0.06 -0.280602  3.38  -0.7  0.136364     0.081818       0  \n",
       "195     0.09  0.971270 -0.04  -1.4  0.042857     0.212121       0  \n",
       "196     5.20  0.727366  0.99   1.2  0.282051     0.346154       0  \n",
       "197    -4.29  2.240174 -0.04  -6.1 -0.038462     0.131868       0  \n",
       "198    -1.27 -0.316887  2.46   3.4 -0.053030     0.113636       1  \n",
       "199    -8.57 -0.309366 -1.64  -2.9 -0.272727     0.450000       0  \n",
       "200     3.76  1.063407 -1.16   0.9  0.038462     0.145833       0  \n",
       "201     3.90 -1.449776 -0.75  -0.4 -0.076923     0.288462       0  \n",
       "202    13.77 -7.864997  0.86   2.7 -0.205128     0.409091       1  \n",
       "203     6.24  2.071473  0.29  -2.2  0.186813     0.272727       1  \n",
       "204    -0.31 -0.632446  3.64   1.6  0.121795     0.151515       1  \n",
       "205    -4.98 -1.273131  3.97  -3.1  0.043956     0.514286       1  \n",
       "206     1.85  2.192303  3.19  -3.5  0.214286     0.413265       1  \n",
       "207    -0.91 -0.406548  1.94  -5.4  0.186813     0.346154       1  \n",
       "208     2.58 -1.615350  1.35   2.2  0.015385     0.284024       0  \n",
       "209    -3.61  4.638972 -5.52  -1.9  0.174825     0.307692       1  \n",
       "211     6.44 -1.367771  4.59   4.3  0.523077     0.454545       1  \n",
       "212     8.05  0.543409 -4.16  -1.1 -0.153846     0.224359       1  \n",
       "...      ...       ...   ...   ...       ...          ...     ...  \n",
       "11040  -4.16 -3.333257 -2.25   2.0 -0.309019     0.340645       0  \n",
       "11041  -2.03  0.524107 -0.12  -2.8 -0.017247     0.342496       1  \n",
       "11042   0.96 -0.811592 -0.04   7.3 -0.075000     0.342775       1  \n",
       "11043   4.84 -1.521982  0.00   1.6 -0.068987     0.318007       0  \n",
       "11044   1.42 -0.606140 -0.26   0.9  0.005538     0.357798       0  \n",
       "11045   0.74 -0.189761  0.96   2.4  0.081329     0.334909       0  \n",
       "11046  -0.19 -2.015521  0.31   2.4 -0.050000     0.310445       1  \n",
       "11047   2.18 -1.586660 -2.24   3.4 -0.137500     0.332416       1  \n",
       "11048   4.17 -2.080450 -1.75   3.2 -0.131790     0.354971       0  \n",
       "11049  -2.39 -1.484009 -0.05   1.7 -0.137500     0.352930       0  \n",
       "11050  -1.93 -0.566756 -0.24   2.1 -0.137500     0.348858       1  \n",
       "11051  -2.50 -0.606512 -1.62   1.6 -0.175000     0.323771       0  \n",
       "11052   4.39 -0.359721 -0.97  -1.8  0.000000     0.354089       1  \n",
       "11053   2.10 -1.511258 -0.66   2.5 -0.112500     0.340835       0  \n",
       "11054  -2.27  0.726229 -1.15  -3.1 -0.024691     0.331774       1  \n",
       "11055   4.02  1.778663  0.04  -3.9  0.132407     0.326887       1  \n",
       "11056  -6.32 -2.064125 -0.88  -3.5 -0.222222     0.341727       0  \n",
       "11057  -4.90 -1.690095 -0.64   4.1 -0.187500     0.360203       0  \n",
       "11058   1.75 -0.440222  0.41  -0.8  0.000000     0.331486       1  \n",
       "11059   6.14 -1.899798 -1.22   3.2 -0.142284     0.315081       1  \n",
       "11060   1.23  0.493345 -0.44   2.5  0.050000     0.349238       1  \n",
       "11061   3.18  1.355305 -0.84  -2.0  0.093673     0.366898       1  \n",
       "11062  -1.29  1.165557 -0.72  -3.3 -0.050000     0.328022       1  \n",
       "11063  -1.29 -0.135057 -0.97   0.9 -0.125000     0.338076       0  \n",
       "11064   3.84  2.806357  1.27  -3.4  0.275000     0.346156       1  \n",
       "11065  -1.29  0.239535 -0.23   0.9 -0.037500     0.337045       1  \n",
       "11066   0.66 -0.274501  0.05  -0.7  0.037500     0.334673       0  \n",
       "11067   1.59  2.883481  1.29   2.2  0.262500     0.363674       0  \n",
       "11068  -5.40  1.263800  1.36   4.0  0.080556     0.325646       1  \n",
       "11069   4.93  1.695788  0.66  -4.1  0.187500     0.360882       1  \n",
       "\n",
       "[9257 rows x 22 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "x_train, x_test, y_train, y_test = train_test_split(x_all, y_all, test_size=0.2, random_state=42, stratify=y_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Taken from Siraj Raval\n",
    "#for measuring training time#for me \n",
    "from time import time \n",
    "# F1 score (also F-score or F-measure) is a measure of a test's accuracy. \n",
    "#It considers both the precision p and the recall r of the test to compute \n",
    "#the score: p is the number of correct positive results divided by the number of \n",
    "#all positive results, and r is the number of correct positive results divided by \n",
    "#the number of positive results that should have been returned. The F1 score can be \n",
    "#interpreted as a weighted average of the precision and recall, where an F1 score \n",
    "#reaches its best value at 1 and worst at 0.\n",
    "from sklearn.metrics import f1_score\n",
    "\n",
    "def train_classifier(clf, X_train, y_train):\n",
    "    ''' Fits a classifier to the training data. '''\n",
    "    \n",
    "    # Start the clock, train the classifier, then stop the clock\n",
    "    start = time()\n",
    "    clf.fit(X_train, y_train)\n",
    "    end = time()\n",
    "    \n",
    "    # Print the results\n",
    "    print(\"Trained model in {:.4f} seconds\".format(end - start))\n",
    "\n",
    "    \n",
    "def predict_labels(clf, features, target):\n",
    "    ''' Makes predictions using a fit classifier based on F1 score. '''\n",
    "    \n",
    "    # Start the clock, make predictions, then stop the clock\n",
    "    start = time()\n",
    "    y_pred = clf.predict(features)\n",
    "    \n",
    "    end = time()\n",
    "    # Print and return results\n",
    "    print(\"Made predictions in {:.4f} seconds.\".format(end - start))\n",
    "    \n",
    "    return f1_score(target, y_pred), sum(target == y_pred) / float(len(y_pred))\n",
    "\n",
    "\n",
    "def train_predict(clf, X_train, y_train, X_test, y_test):\n",
    "    ''' Train and predict using a classifer based on F1 score. '''\n",
    "    \n",
    "    # Indicate the classifier and the training set size\n",
    "    print(\"Training a {} using a training set size of {}. . .\".format(clf.__class__.__name__, len(X_train)))\n",
    "    \n",
    "    # Train the classifier\n",
    "    train_classifier(clf, X_train, y_train)\n",
    "    \n",
    "    # Print the results of prediction for both training and testing\n",
    "    f1, acc = predict_labels(clf, X_train, y_train)\n",
    "    print(f1, acc)\n",
    "    print(\"F1 score and accuracy score for training set: {:.4f} , {:.4f}.\".format(f1 , acc))\n",
    "    \n",
    "    f1, acc = predict_labels(clf, X_test, y_test)\n",
    "    print(\"F1 score and accuracy score for test set: {:.4f} , {:.4f}.\".format(f1 , acc))\n",
    "    \n",
    "def train_predictproba(clf, X_train, y_train, X_test, y_test):\n",
    "    ''' Train and predict using a classifer based on F1 score. '''\n",
    "    \n",
    "    # Indicate the classifier and the training set size\n",
    "    print(\"Training a {} using a training set size of {}. . .\".format(clf.__class__.__name__, len(X_train)))\n",
    "    \n",
    "    # Train the classifier\n",
    "    train_classifier(clf, X_train, y_train)\n",
    "    \n",
    "    # Print the results of prediction for both training and testing\n",
    "    f1, acc = predict_labels(clf, X_train, y_train)\n",
    "    print(f1, acc)\n",
    "    print(\"F1 score and accuracy score for training set: {:.4f} , {:.4f}.\".format(f1 , acc))\n",
    "    \n",
    "    display(clf.predict_proba(X_test))\n",
    "#     print(\"F1 score and accuracy score for test set: {:.4f} , {:.4f}.\".format(f1 , acc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training a LogisticRegression using a training set size of 7405. . .\n",
      "Trained model in 0.0341 seconds\n",
      "Made predictions in 0.0019 seconds.\n",
      "0.6639839034205232 0.5715057393652937\n",
      "F1 score and accuracy score for training set: 0.6640 , 0.5715.\n",
      "Made predictions in 0.0005 seconds.\n",
      "F1 score and accuracy score for test set: 0.6553 , 0.5621.\n",
      "\n",
      "Training a SVC using a training set size of 7405. . .\n",
      "Trained model in 2.7647 seconds\n",
      "Made predictions in 1.2740 seconds.\n",
      "0.6886128364389233 0.5937879810938556\n",
      "F1 score and accuracy score for training set: 0.6886 , 0.5938.\n",
      "Made predictions in 0.3222 seconds.\n",
      "F1 score and accuracy score for test set: 0.6749 , 0.5734.\n",
      "\n",
      "Training a XGBClassifier using a training set size of 7405. . .\n",
      "Trained model in 0.6775 seconds\n",
      "Made predictions in 0.0227 seconds.\n",
      "0.7111302661351148 0.6379473328831871\n",
      "F1 score and accuracy score for training set: 0.7111 , 0.6379.\n",
      "Made predictions in 0.0051 seconds.\n",
      "F1 score and accuracy score for test set: 0.6632 , 0.5778.\n",
      "\n",
      "Training a SVC using a training set size of 7405. . .\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.\n",
      "  if diff:\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.\n",
      "  if diff:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Trained model in 11.5067 seconds\n",
      "Made predictions in 1.2780 seconds.\n",
      "0.6886128364389233 0.5937879810938556\n",
      "F1 score and accuracy score for training set: 0.6886 , 0.5938.\n",
      "Made predictions in 0.3194 seconds.\n",
      "F1 score and accuracy score for test set: 0.6749 , 0.5734.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "clf_A = LogisticRegression(random_state = 42)\n",
    "clf_B = SVC(random_state = 43, kernel = 'rbf')\n",
    "clf_C = xgb.XGBClassifier(seed = 44)\n",
    "clf_D = SVC(probability=True)\n",
    "\n",
    "train_predict(clf_A, x_train, y_train, x_test, y_test)\n",
    "print('')\n",
    "train_predict(clf_B, x_train, y_train, x_test, y_test)\n",
    "print('')\n",
    "train_predict(clf_C, x_train, y_train, x_test, y_test)\n",
    "print('')\n",
    "train_predict(clf_D, x_train, y_train, x_test, y_test)\n",
    "print('')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[0.4625617 , 0.5374383 ],\n",
       "       [0.54165961, 0.45834039],\n",
       "       [0.43064588, 0.56935412],\n",
       "       ...,\n",
       "       [0.40587016, 0.59412984],\n",
       "       [0.40384005, 0.59615995],\n",
       "       [0.40490421, 0.59509579]])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6934256055363321 0.5920810313075506\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>HomeTeam</th>\n",
       "      <th>AwayTeam</th>\n",
       "      <th>CF%</th>\n",
       "      <th>CSh%</th>\n",
       "      <th>CSv%</th>\n",
       "      <th>FF%</th>\n",
       "      <th>FSh%</th>\n",
       "      <th>FSv%</th>\n",
       "      <th>...</th>\n",
       "      <th>SDiff</th>\n",
       "      <th>Sh%</th>\n",
       "      <th>Sv</th>\n",
       "      <th>FOW%</th>\n",
       "      <th>W%</th>\n",
       "      <th>FavoritesW%</th>\n",
       "      <th>Result</th>\n",
       "      <th>0_Confidence</th>\n",
       "      <th>1_Confidence</th>\n",
       "      <th>Prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11255</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020186</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
       "      <td>-1.12</td>\n",
       "      <td>-0.778916</td>\n",
       "      <td>-0.690236</td>\n",
       "      <td>-0.26</td>\n",
       "      <td>-1.321017</td>\n",
       "      <td>-0.902049</td>\n",
       "      <td>...</td>\n",
       "      <td>1.68</td>\n",
       "      <td>-2.028334</td>\n",
       "      <td>-1.75</td>\n",
       "      <td>-0.8</td>\n",
       "      <td>-0.327273</td>\n",
       "      <td>0.257362</td>\n",
       "      <td>1</td>\n",
       "      <td>0.462562</td>\n",
       "      <td>0.537438</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11256</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020187</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>-1.85</td>\n",
       "      <td>-1.019858</td>\n",
       "      <td>-0.441613</td>\n",
       "      <td>-2.09</td>\n",
       "      <td>-1.575384</td>\n",
       "      <td>-0.341264</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.31</td>\n",
       "      <td>-2.083285</td>\n",
       "      <td>-0.94</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-0.166667</td>\n",
       "      <td>0.368909</td>\n",
       "      <td>1</td>\n",
       "      <td>0.541660</td>\n",
       "      <td>0.458340</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11257</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020188</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>-1.80</td>\n",
       "      <td>1.591117</td>\n",
       "      <td>0.092414</td>\n",
       "      <td>1.01</td>\n",
       "      <td>2.044135</td>\n",
       "      <td>-0.612546</td>\n",
       "      <td>...</td>\n",
       "      <td>3.10</td>\n",
       "      <td>2.640459</td>\n",
       "      <td>-1.18</td>\n",
       "      <td>6.7</td>\n",
       "      <td>-0.044872</td>\n",
       "      <td>0.321633</td>\n",
       "      <td>1</td>\n",
       "      <td>0.430646</td>\n",
       "      <td>0.569354</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11258</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020189</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>1.602127</td>\n",
       "      <td>1.686500</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>1.966037</td>\n",
       "      <td>2.210855</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.36</td>\n",
       "      <td>3.366109</td>\n",
       "      <td>2.87</td>\n",
       "      <td>-2.8</td>\n",
       "      <td>0.461538</td>\n",
       "      <td>0.340786</td>\n",
       "      <td>0</td>\n",
       "      <td>0.402705</td>\n",
       "      <td>0.597295</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11259</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020190</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>-4.61</td>\n",
       "      <td>1.404778</td>\n",
       "      <td>-1.736500</td>\n",
       "      <td>-4.64</td>\n",
       "      <td>1.668242</td>\n",
       "      <td>-2.145501</td>\n",
       "      <td>...</td>\n",
       "      <td>-7.38</td>\n",
       "      <td>2.260701</td>\n",
       "      <td>-2.58</td>\n",
       "      <td>5.9</td>\n",
       "      <td>-0.303030</td>\n",
       "      <td>0.340977</td>\n",
       "      <td>0</td>\n",
       "      <td>0.548868</td>\n",
       "      <td>0.451132</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11260</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020191</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>-1.48</td>\n",
       "      <td>0.322340</td>\n",
       "      <td>1.266298</td>\n",
       "      <td>-0.79</td>\n",
       "      <td>0.257881</td>\n",
       "      <td>1.725119</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.14</td>\n",
       "      <td>0.559013</td>\n",
       "      <td>2.81</td>\n",
       "      <td>-3.1</td>\n",
       "      <td>0.269231</td>\n",
       "      <td>0.334474</td>\n",
       "      <td>0</td>\n",
       "      <td>0.408040</td>\n",
       "      <td>0.591960</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11261</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020192</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>-7.28</td>\n",
       "      <td>2.199241</td>\n",
       "      <td>1.702287</td>\n",
       "      <td>-6.66</td>\n",
       "      <td>2.698675</td>\n",
       "      <td>2.354117</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.01</td>\n",
       "      <td>3.754386</td>\n",
       "      <td>3.07</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.318442</td>\n",
       "      <td>1</td>\n",
       "      <td>0.439287</td>\n",
       "      <td>0.560713</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11262</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020193</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Winnipeg Jets</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>-7.27</td>\n",
       "      <td>1.279969</td>\n",
       "      <td>0.248114</td>\n",
       "      <td>-8.68</td>\n",
       "      <td>1.990895</td>\n",
       "      <td>0.438289</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.88</td>\n",
       "      <td>2.158308</td>\n",
       "      <td>0.53</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.037879</td>\n",
       "      <td>0.316555</td>\n",
       "      <td>1</td>\n",
       "      <td>0.517838</td>\n",
       "      <td>0.482162</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11263</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020194</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>-8.05</td>\n",
       "      <td>1.788203</td>\n",
       "      <td>0.112443</td>\n",
       "      <td>-6.16</td>\n",
       "      <td>1.828895</td>\n",
       "      <td>0.231109</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.70</td>\n",
       "      <td>1.848007</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-7.4</td>\n",
       "      <td>0.145455</td>\n",
       "      <td>0.342385</td>\n",
       "      <td>1</td>\n",
       "      <td>0.465360</td>\n",
       "      <td>0.534640</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11264</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020195</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.918719</td>\n",
       "      <td>1.662550</td>\n",
       "      <td>-1.97</td>\n",
       "      <td>-1.028084</td>\n",
       "      <td>2.492625</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.14</td>\n",
       "      <td>-0.846410</td>\n",
       "      <td>3.19</td>\n",
       "      <td>-2.2</td>\n",
       "      <td>-0.038462</td>\n",
       "      <td>0.348636</td>\n",
       "      <td>1</td>\n",
       "      <td>0.451778</td>\n",
       "      <td>0.548222</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11265</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020196</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>0.70</td>\n",
       "      <td>-0.117099</td>\n",
       "      <td>-1.068604</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.011897</td>\n",
       "      <td>-1.381632</td>\n",
       "      <td>...</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.318357</td>\n",
       "      <td>-2.60</td>\n",
       "      <td>-3.6</td>\n",
       "      <td>-0.173077</td>\n",
       "      <td>0.363854</td>\n",
       "      <td>0</td>\n",
       "      <td>0.517669</td>\n",
       "      <td>0.482331</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11266</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020197</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>-0.67</td>\n",
       "      <td>-1.010368</td>\n",
       "      <td>2.496006</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-1.452670</td>\n",
       "      <td>3.206645</td>\n",
       "      <td>...</td>\n",
       "      <td>2.82</td>\n",
       "      <td>-2.369310</td>\n",
       "      <td>3.98</td>\n",
       "      <td>-2.3</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.316133</td>\n",
       "      <td>1</td>\n",
       "      <td>0.513030</td>\n",
       "      <td>0.486970</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11267</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020198</td>\n",
       "      <td>2017/11/03</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>10.07</td>\n",
       "      <td>-3.922388</td>\n",
       "      <td>-1.202827</td>\n",
       "      <td>8.89</td>\n",
       "      <td>-4.417537</td>\n",
       "      <td>-2.053484</td>\n",
       "      <td>...</td>\n",
       "      <td>11.49</td>\n",
       "      <td>-6.435314</td>\n",
       "      <td>-2.47</td>\n",
       "      <td>2.7</td>\n",
       "      <td>-0.545455</td>\n",
       "      <td>0.372082</td>\n",
       "      <td>1</td>\n",
       "      <td>0.452890</td>\n",
       "      <td>0.547110</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11268</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020199</td>\n",
       "      <td>2017/11/03</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>-4.30</td>\n",
       "      <td>1.022653</td>\n",
       "      <td>0.606618</td>\n",
       "      <td>-3.98</td>\n",
       "      <td>1.186849</td>\n",
       "      <td>0.897025</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.22</td>\n",
       "      <td>1.676245</td>\n",
       "      <td>1.01</td>\n",
       "      <td>-0.9</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.344073</td>\n",
       "      <td>0</td>\n",
       "      <td>0.445803</td>\n",
       "      <td>0.554197</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11269</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020200</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
       "      <td>-2.67</td>\n",
       "      <td>0.587065</td>\n",
       "      <td>-0.074186</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.243393</td>\n",
       "      <td>-0.406761</td>\n",
       "      <td>...</td>\n",
       "      <td>3.74</td>\n",
       "      <td>-0.405743</td>\n",
       "      <td>-0.98</td>\n",
       "      <td>1.8</td>\n",
       "      <td>-0.205128</td>\n",
       "      <td>0.276056</td>\n",
       "      <td>0</td>\n",
       "      <td>0.409125</td>\n",
       "      <td>0.590875</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11270</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020201</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>2.52</td>\n",
       "      <td>-0.428826</td>\n",
       "      <td>0.370005</td>\n",
       "      <td>4.00</td>\n",
       "      <td>-0.778479</td>\n",
       "      <td>0.263819</td>\n",
       "      <td>...</td>\n",
       "      <td>3.49</td>\n",
       "      <td>-0.602652</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.3</td>\n",
       "      <td>-0.006993</td>\n",
       "      <td>0.353133</td>\n",
       "      <td>0</td>\n",
       "      <td>0.406970</td>\n",
       "      <td>0.593030</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11271</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020202</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>-2.34</td>\n",
       "      <td>1.188288</td>\n",
       "      <td>0.022553</td>\n",
       "      <td>-2.99</td>\n",
       "      <td>1.603570</td>\n",
       "      <td>0.136689</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.92</td>\n",
       "      <td>3.342304</td>\n",
       "      <td>0.07</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.021978</td>\n",
       "      <td>0.352902</td>\n",
       "      <td>1</td>\n",
       "      <td>0.472157</td>\n",
       "      <td>0.527843</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11272</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020203</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>-2.72</td>\n",
       "      <td>1.005747</td>\n",
       "      <td>-0.674392</td>\n",
       "      <td>-1.86</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.822470</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.10</td>\n",
       "      <td>1.069410</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>0.3</td>\n",
       "      <td>-0.023810</td>\n",
       "      <td>0.328983</td>\n",
       "      <td>0</td>\n",
       "      <td>0.444197</td>\n",
       "      <td>0.555803</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11273</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020204</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>4.05</td>\n",
       "      <td>-0.792848</td>\n",
       "      <td>0.220859</td>\n",
       "      <td>5.58</td>\n",
       "      <td>-0.893793</td>\n",
       "      <td>-0.213455</td>\n",
       "      <td>...</td>\n",
       "      <td>5.75</td>\n",
       "      <td>-1.019856</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>6.7</td>\n",
       "      <td>-0.083333</td>\n",
       "      <td>0.336525</td>\n",
       "      <td>0</td>\n",
       "      <td>0.413694</td>\n",
       "      <td>0.586306</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11274</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020205</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>-1.97</td>\n",
       "      <td>-0.860810</td>\n",
       "      <td>2.207287</td>\n",
       "      <td>0.51</td>\n",
       "      <td>-1.442934</td>\n",
       "      <td>2.543092</td>\n",
       "      <td>...</td>\n",
       "      <td>1.48</td>\n",
       "      <td>-2.254615</td>\n",
       "      <td>3.43</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.338438</td>\n",
       "      <td>1</td>\n",
       "      <td>0.490988</td>\n",
       "      <td>0.509012</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11275</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020206</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Winnipeg Jets</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>-9.88</td>\n",
       "      <td>2.498287</td>\n",
       "      <td>2.499954</td>\n",
       "      <td>-10.24</td>\n",
       "      <td>3.458830</td>\n",
       "      <td>3.379963</td>\n",
       "      <td>...</td>\n",
       "      <td>-12.03</td>\n",
       "      <td>4.533343</td>\n",
       "      <td>4.29</td>\n",
       "      <td>2.8</td>\n",
       "      <td>0.275641</td>\n",
       "      <td>0.316074</td>\n",
       "      <td>0</td>\n",
       "      <td>0.413062</td>\n",
       "      <td>0.586938</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11276</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020207</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>2.12</td>\n",
       "      <td>-0.072720</td>\n",
       "      <td>1.014005</td>\n",
       "      <td>3.11</td>\n",
       "      <td>-0.058545</td>\n",
       "      <td>1.008008</td>\n",
       "      <td>...</td>\n",
       "      <td>2.98</td>\n",
       "      <td>0.217847</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.230769</td>\n",
       "      <td>0.339449</td>\n",
       "      <td>1</td>\n",
       "      <td>0.404212</td>\n",
       "      <td>0.595788</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11277</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020208</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>-2.23</td>\n",
       "      <td>1.285766</td>\n",
       "      <td>-0.813084</td>\n",
       "      <td>0.15</td>\n",
       "      <td>1.108328</td>\n",
       "      <td>-1.167134</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>1.735545</td>\n",
       "      <td>-1.55</td>\n",
       "      <td>0.4</td>\n",
       "      <td>-0.006993</td>\n",
       "      <td>0.331926</td>\n",
       "      <td>0</td>\n",
       "      <td>0.411700</td>\n",
       "      <td>0.588300</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11278</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020209</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>-5.97</td>\n",
       "      <td>0.518961</td>\n",
       "      <td>-1.689846</td>\n",
       "      <td>-5.32</td>\n",
       "      <td>0.534004</td>\n",
       "      <td>-2.167614</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.64</td>\n",
       "      <td>0.795283</td>\n",
       "      <td>-3.19</td>\n",
       "      <td>-4.9</td>\n",
       "      <td>-0.292208</td>\n",
       "      <td>0.344535</td>\n",
       "      <td>1</td>\n",
       "      <td>0.595848</td>\n",
       "      <td>0.404152</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11279</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020210</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>1.84</td>\n",
       "      <td>0.227064</td>\n",
       "      <td>1.455253</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.299292</td>\n",
       "      <td>2.286731</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>0.689855</td>\n",
       "      <td>2.99</td>\n",
       "      <td>2.9</td>\n",
       "      <td>-0.033333</td>\n",
       "      <td>0.346571</td>\n",
       "      <td>1</td>\n",
       "      <td>0.396736</td>\n",
       "      <td>0.603264</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11280</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020211</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>-0.70</td>\n",
       "      <td>1.051649</td>\n",
       "      <td>1.785846</td>\n",
       "      <td>-1.35</td>\n",
       "      <td>1.410535</td>\n",
       "      <td>2.522526</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>1.338491</td>\n",
       "      <td>3.16</td>\n",
       "      <td>-2.3</td>\n",
       "      <td>0.352564</td>\n",
       "      <td>0.318672</td>\n",
       "      <td>0</td>\n",
       "      <td>0.418615</td>\n",
       "      <td>0.581385</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11281</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020212</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>4.46</td>\n",
       "      <td>-0.305430</td>\n",
       "      <td>0.551084</td>\n",
       "      <td>6.10</td>\n",
       "      <td>-0.238062</td>\n",
       "      <td>0.172335</td>\n",
       "      <td>...</td>\n",
       "      <td>6.88</td>\n",
       "      <td>-0.600370</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.339439</td>\n",
       "      <td>1</td>\n",
       "      <td>0.403737</td>\n",
       "      <td>0.596263</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11282</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020213</td>\n",
       "      <td>2017/11/05</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>6.61</td>\n",
       "      <td>-1.125780</td>\n",
       "      <td>-0.615481</td>\n",
       "      <td>8.14</td>\n",
       "      <td>-1.201258</td>\n",
       "      <td>-1.638301</td>\n",
       "      <td>...</td>\n",
       "      <td>10.26</td>\n",
       "      <td>-1.715984</td>\n",
       "      <td>-1.96</td>\n",
       "      <td>3.7</td>\n",
       "      <td>-0.095238</td>\n",
       "      <td>0.363360</td>\n",
       "      <td>0</td>\n",
       "      <td>0.389985</td>\n",
       "      <td>0.610015</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11283</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020214</td>\n",
       "      <td>2017/11/05</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>5.00</td>\n",
       "      <td>-0.140451</td>\n",
       "      <td>-0.457458</td>\n",
       "      <td>4.25</td>\n",
       "      <td>0.385695</td>\n",
       "      <td>-0.865822</td>\n",
       "      <td>...</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.858511</td>\n",
       "      <td>-0.46</td>\n",
       "      <td>1.9</td>\n",
       "      <td>-0.044872</td>\n",
       "      <td>0.349488</td>\n",
       "      <td>1</td>\n",
       "      <td>0.409811</td>\n",
       "      <td>0.590189</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11284</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020215</td>\n",
       "      <td>2017/11/05</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>-5.09</td>\n",
       "      <td>0.946735</td>\n",
       "      <td>3.246068</td>\n",
       "      <td>-7.45</td>\n",
       "      <td>1.710062</td>\n",
       "      <td>4.511779</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.90</td>\n",
       "      <td>2.210907</td>\n",
       "      <td>5.87</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>0.318886</td>\n",
       "      <td>0</td>\n",
       "      <td>0.402363</td>\n",
       "      <td>0.597637</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12311</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021242</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.423793</td>\n",
       "      <td>-0.598501</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>0.839328</td>\n",
       "      <td>-0.807838</td>\n",
       "      <td>...</td>\n",
       "      <td>0.24</td>\n",
       "      <td>1.020508</td>\n",
       "      <td>-1.14</td>\n",
       "      <td>-0.4</td>\n",
       "      <td>-0.012500</td>\n",
       "      <td>0.337800</td>\n",
       "      <td>1</td>\n",
       "      <td>0.412506</td>\n",
       "      <td>0.587494</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12312</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021243</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>-4.62</td>\n",
       "      <td>0.928352</td>\n",
       "      <td>0.747327</td>\n",
       "      <td>-3.26</td>\n",
       "      <td>1.137824</td>\n",
       "      <td>0.719856</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.32</td>\n",
       "      <td>1.321969</td>\n",
       "      <td>1.07</td>\n",
       "      <td>-0.6</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.329913</td>\n",
       "      <td>1</td>\n",
       "      <td>0.431752</td>\n",
       "      <td>0.568248</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12313</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021244</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>-3.14</td>\n",
       "      <td>0.343896</td>\n",
       "      <td>-0.481172</td>\n",
       "      <td>-3.72</td>\n",
       "      <td>0.550850</td>\n",
       "      <td>-0.573392</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.79</td>\n",
       "      <td>0.902421</td>\n",
       "      <td>-1.37</td>\n",
       "      <td>-2.7</td>\n",
       "      <td>-0.037500</td>\n",
       "      <td>0.366050</td>\n",
       "      <td>0</td>\n",
       "      <td>0.493305</td>\n",
       "      <td>0.506695</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12314</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021245</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>-0.623103</td>\n",
       "      <td>0.651480</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.869307</td>\n",
       "      <td>0.839436</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>-0.948293</td>\n",
       "      <td>1.12</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.352260</td>\n",
       "      <td>0</td>\n",
       "      <td>0.473951</td>\n",
       "      <td>0.526049</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12315</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021246</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>-1.38</td>\n",
       "      <td>0.572985</td>\n",
       "      <td>-0.193005</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>0.424966</td>\n",
       "      <td>-0.026469</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.85</td>\n",
       "      <td>0.818227</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.331360</td>\n",
       "      <td>0</td>\n",
       "      <td>0.408471</td>\n",
       "      <td>0.591529</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12316</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021247</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>-2.64</td>\n",
       "      <td>-0.547640</td>\n",
       "      <td>-0.201270</td>\n",
       "      <td>-2.23</td>\n",
       "      <td>-0.907804</td>\n",
       "      <td>-0.181972</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.47</td>\n",
       "      <td>-1.378781</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.4</td>\n",
       "      <td>-0.101266</td>\n",
       "      <td>0.341923</td>\n",
       "      <td>1</td>\n",
       "      <td>0.568525</td>\n",
       "      <td>0.431475</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12317</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021248</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Winnipeg Jets</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>-3.39</td>\n",
       "      <td>1.676466</td>\n",
       "      <td>0.720459</td>\n",
       "      <td>-2.40</td>\n",
       "      <td>2.171508</td>\n",
       "      <td>0.763089</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.04</td>\n",
       "      <td>2.638869</td>\n",
       "      <td>1.20</td>\n",
       "      <td>2.7</td>\n",
       "      <td>0.175000</td>\n",
       "      <td>0.335426</td>\n",
       "      <td>1</td>\n",
       "      <td>0.413082</td>\n",
       "      <td>0.586918</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12318</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021249</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
       "      <td>-0.77</td>\n",
       "      <td>-0.821555</td>\n",
       "      <td>-0.761300</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-1.179930</td>\n",
       "      <td>-1.136246</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.67</td>\n",
       "      <td>-1.682599</td>\n",
       "      <td>-1.33</td>\n",
       "      <td>-0.3</td>\n",
       "      <td>-0.212500</td>\n",
       "      <td>0.348018</td>\n",
       "      <td>1</td>\n",
       "      <td>0.476119</td>\n",
       "      <td>0.523881</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12319</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021250</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>-0.83</td>\n",
       "      <td>0.576046</td>\n",
       "      <td>-0.445088</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.536744</td>\n",
       "      <td>-0.626293</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>0.447772</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.342396</td>\n",
       "      <td>1</td>\n",
       "      <td>0.413420</td>\n",
       "      <td>0.586580</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12320</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021251</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>2.51</td>\n",
       "      <td>-0.661982</td>\n",
       "      <td>0.488064</td>\n",
       "      <td>1.52</td>\n",
       "      <td>-0.699399</td>\n",
       "      <td>0.745013</td>\n",
       "      <td>...</td>\n",
       "      <td>0.91</td>\n",
       "      <td>-0.622372</td>\n",
       "      <td>1.02</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>-0.006962</td>\n",
       "      <td>0.313254</td>\n",
       "      <td>1</td>\n",
       "      <td>0.406024</td>\n",
       "      <td>0.593976</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12321</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021252</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>4.61</td>\n",
       "      <td>-0.903335</td>\n",
       "      <td>0.046145</td>\n",
       "      <td>5.38</td>\n",
       "      <td>-1.188533</td>\n",
       "      <td>-0.166286</td>\n",
       "      <td>...</td>\n",
       "      <td>6.02</td>\n",
       "      <td>-1.359431</td>\n",
       "      <td>-0.29</td>\n",
       "      <td>7.2</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.334216</td>\n",
       "      <td>1</td>\n",
       "      <td>0.417777</td>\n",
       "      <td>0.582223</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12322</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021253</td>\n",
       "      <td>2018/04/06</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>4.01</td>\n",
       "      <td>0.658025</td>\n",
       "      <td>0.090719</td>\n",
       "      <td>4.47</td>\n",
       "      <td>0.663833</td>\n",
       "      <td>0.215817</td>\n",
       "      <td>...</td>\n",
       "      <td>5.94</td>\n",
       "      <td>0.650082</td>\n",
       "      <td>0.51</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>0.212500</td>\n",
       "      <td>0.334651</td>\n",
       "      <td>1</td>\n",
       "      <td>0.397138</td>\n",
       "      <td>0.602862</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12323</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021254</td>\n",
       "      <td>2018/04/06</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>3.06</td>\n",
       "      <td>1.408012</td>\n",
       "      <td>0.803161</td>\n",
       "      <td>2.78</td>\n",
       "      <td>2.014580</td>\n",
       "      <td>0.946230</td>\n",
       "      <td>...</td>\n",
       "      <td>1.71</td>\n",
       "      <td>3.112165</td>\n",
       "      <td>1.49</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.371391</td>\n",
       "      <td>1</td>\n",
       "      <td>0.401783</td>\n",
       "      <td>0.598217</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12324</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021255</td>\n",
       "      <td>2018/04/06</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>0.89</td>\n",
       "      <td>-0.213562</td>\n",
       "      <td>-0.386672</td>\n",
       "      <td>-1.82</td>\n",
       "      <td>0.093266</td>\n",
       "      <td>-0.216527</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.34</td>\n",
       "      <td>-0.081398</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>-1.4</td>\n",
       "      <td>-0.125000</td>\n",
       "      <td>0.338605</td>\n",
       "      <td>0</td>\n",
       "      <td>0.481082</td>\n",
       "      <td>0.518918</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12325</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021256</td>\n",
       "      <td>2018/04/06</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>-3.27</td>\n",
       "      <td>0.178248</td>\n",
       "      <td>0.585604</td>\n",
       "      <td>-3.44</td>\n",
       "      <td>0.008610</td>\n",
       "      <td>1.044635</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.76</td>\n",
       "      <td>0.330649</td>\n",
       "      <td>1.31</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.332694</td>\n",
       "      <td>1</td>\n",
       "      <td>0.483084</td>\n",
       "      <td>0.516916</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12326</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021257</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>3.68</td>\n",
       "      <td>0.075572</td>\n",
       "      <td>-0.024689</td>\n",
       "      <td>4.02</td>\n",
       "      <td>0.216305</td>\n",
       "      <td>-0.243279</td>\n",
       "      <td>...</td>\n",
       "      <td>6.09</td>\n",
       "      <td>0.365961</td>\n",
       "      <td>-0.69</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.086420</td>\n",
       "      <td>0.324932</td>\n",
       "      <td>1</td>\n",
       "      <td>0.414302</td>\n",
       "      <td>0.585698</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12327</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021258</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>4.56</td>\n",
       "      <td>0.747339</td>\n",
       "      <td>0.812363</td>\n",
       "      <td>4.59</td>\n",
       "      <td>0.828493</td>\n",
       "      <td>1.255941</td>\n",
       "      <td>...</td>\n",
       "      <td>5.75</td>\n",
       "      <td>1.179390</td>\n",
       "      <td>1.68</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.262500</td>\n",
       "      <td>0.321638</td>\n",
       "      <td>1</td>\n",
       "      <td>0.403184</td>\n",
       "      <td>0.596816</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12328</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021259</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1.241113</td>\n",
       "      <td>0.488001</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>1.551522</td>\n",
       "      <td>1.047551</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.02</td>\n",
       "      <td>2.459577</td>\n",
       "      <td>1.38</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.234568</td>\n",
       "      <td>0.332256</td>\n",
       "      <td>1</td>\n",
       "      <td>0.417460</td>\n",
       "      <td>0.582540</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12329</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021260</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>1.19</td>\n",
       "      <td>-0.853688</td>\n",
       "      <td>0.299552</td>\n",
       "      <td>2.39</td>\n",
       "      <td>-1.436568</td>\n",
       "      <td>0.368034</td>\n",
       "      <td>...</td>\n",
       "      <td>2.75</td>\n",
       "      <td>-1.640704</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.049383</td>\n",
       "      <td>0.348244</td>\n",
       "      <td>0</td>\n",
       "      <td>0.388044</td>\n",
       "      <td>0.611956</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12330</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021261</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>1.67</td>\n",
       "      <td>0.477836</td>\n",
       "      <td>0.871174</td>\n",
       "      <td>2.06</td>\n",
       "      <td>0.578072</td>\n",
       "      <td>1.067943</td>\n",
       "      <td>...</td>\n",
       "      <td>1.89</td>\n",
       "      <td>0.808638</td>\n",
       "      <td>1.64</td>\n",
       "      <td>-0.7</td>\n",
       "      <td>0.212500</td>\n",
       "      <td>0.362607</td>\n",
       "      <td>1</td>\n",
       "      <td>0.399801</td>\n",
       "      <td>0.600199</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12331</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021262</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>-0.88</td>\n",
       "      <td>0.275763</td>\n",
       "      <td>0.143243</td>\n",
       "      <td>-2.07</td>\n",
       "      <td>0.717401</td>\n",
       "      <td>0.175727</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.67</td>\n",
       "      <td>1.344136</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>3.3</td>\n",
       "      <td>0.049383</td>\n",
       "      <td>0.374618</td>\n",
       "      <td>1</td>\n",
       "      <td>0.430622</td>\n",
       "      <td>0.569378</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12332</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021263</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>3.56</td>\n",
       "      <td>-1.602513</td>\n",
       "      <td>-0.894270</td>\n",
       "      <td>2.83</td>\n",
       "      <td>-1.997768</td>\n",
       "      <td>-1.117389</td>\n",
       "      <td>...</td>\n",
       "      <td>4.87</td>\n",
       "      <td>-2.779206</td>\n",
       "      <td>-2.00</td>\n",
       "      <td>5.7</td>\n",
       "      <td>-0.230401</td>\n",
       "      <td>0.351361</td>\n",
       "      <td>1</td>\n",
       "      <td>0.466442</td>\n",
       "      <td>0.533558</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12333</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021264</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Winnipeg Jets</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>-2.82</td>\n",
       "      <td>1.344754</td>\n",
       "      <td>0.784104</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>1.351599</td>\n",
       "      <td>0.974617</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>2.114554</td>\n",
       "      <td>1.08</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.217130</td>\n",
       "      <td>0.334012</td>\n",
       "      <td>1</td>\n",
       "      <td>0.416525</td>\n",
       "      <td>0.583475</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12334</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021265</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>0.483108</td>\n",
       "      <td>0.515159</td>\n",
       "      <td>-1.42</td>\n",
       "      <td>0.805334</td>\n",
       "      <td>0.748620</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.48</td>\n",
       "      <td>1.260247</td>\n",
       "      <td>1.06</td>\n",
       "      <td>4.6</td>\n",
       "      <td>0.086420</td>\n",
       "      <td>0.343614</td>\n",
       "      <td>1</td>\n",
       "      <td>0.423656</td>\n",
       "      <td>0.576344</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12335</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021266</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>-4.84</td>\n",
       "      <td>1.067996</td>\n",
       "      <td>0.148075</td>\n",
       "      <td>-6.09</td>\n",
       "      <td>1.543005</td>\n",
       "      <td>0.427952</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.69</td>\n",
       "      <td>2.076703</td>\n",
       "      <td>0.38</td>\n",
       "      <td>-6.7</td>\n",
       "      <td>-0.018981</td>\n",
       "      <td>0.346984</td>\n",
       "      <td>1</td>\n",
       "      <td>0.506027</td>\n",
       "      <td>0.493973</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12336</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021267</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>0.85</td>\n",
       "      <td>-0.599201</td>\n",
       "      <td>-0.809415</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>-0.538754</td>\n",
       "      <td>-1.009587</td>\n",
       "      <td>...</td>\n",
       "      <td>0.47</td>\n",
       "      <td>-0.790485</td>\n",
       "      <td>-1.70</td>\n",
       "      <td>-3.6</td>\n",
       "      <td>-0.166975</td>\n",
       "      <td>0.356963</td>\n",
       "      <td>0</td>\n",
       "      <td>0.574730</td>\n",
       "      <td>0.425270</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12337</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021268</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
       "      <td>1.45</td>\n",
       "      <td>-1.401478</td>\n",
       "      <td>-0.501375</td>\n",
       "      <td>0.98</td>\n",
       "      <td>-1.910827</td>\n",
       "      <td>-0.502267</td>\n",
       "      <td>...</td>\n",
       "      <td>0.42</td>\n",
       "      <td>-2.343425</td>\n",
       "      <td>-0.83</td>\n",
       "      <td>0.4</td>\n",
       "      <td>-0.185185</td>\n",
       "      <td>0.321894</td>\n",
       "      <td>1</td>\n",
       "      <td>0.454976</td>\n",
       "      <td>0.545024</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12338</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021269</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>2.79</td>\n",
       "      <td>-0.349300</td>\n",
       "      <td>-0.013203</td>\n",
       "      <td>3.49</td>\n",
       "      <td>-0.451989</td>\n",
       "      <td>-0.233029</td>\n",
       "      <td>...</td>\n",
       "      <td>3.64</td>\n",
       "      <td>-0.545256</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.049383</td>\n",
       "      <td>0.353433</td>\n",
       "      <td>1</td>\n",
       "      <td>0.405870</td>\n",
       "      <td>0.594130</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12339</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021270</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>-1.42</td>\n",
       "      <td>0.278695</td>\n",
       "      <td>0.623486</td>\n",
       "      <td>-1.54</td>\n",
       "      <td>0.203981</td>\n",
       "      <td>1.032315</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.76</td>\n",
       "      <td>0.439817</td>\n",
       "      <td>1.28</td>\n",
       "      <td>-2.6</td>\n",
       "      <td>0.043056</td>\n",
       "      <td>0.303387</td>\n",
       "      <td>0</td>\n",
       "      <td>0.403840</td>\n",
       "      <td>0.596160</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12340</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021271</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>4.54</td>\n",
       "      <td>-0.885210</td>\n",
       "      <td>0.067829</td>\n",
       "      <td>4.15</td>\n",
       "      <td>-0.866669</td>\n",
       "      <td>-0.089346</td>\n",
       "      <td>...</td>\n",
       "      <td>3.57</td>\n",
       "      <td>-0.815267</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.012346</td>\n",
       "      <td>0.329381</td>\n",
       "      <td>0</td>\n",
       "      <td>0.404904</td>\n",
       "      <td>0.595096</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1086 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              ID        Date  \\\n",
       "11255  https://www.nhl.com/gamecenter/2017020186  2017/11/02   \n",
       "11256  https://www.nhl.com/gamecenter/2017020187  2017/11/02   \n",
       "11257  https://www.nhl.com/gamecenter/2017020188  2017/11/02   \n",
       "11258  https://www.nhl.com/gamecenter/2017020189  2017/11/02   \n",
       "11259  https://www.nhl.com/gamecenter/2017020190  2017/11/02   \n",
       "11260  https://www.nhl.com/gamecenter/2017020191  2017/11/02   \n",
       "11261  https://www.nhl.com/gamecenter/2017020192  2017/11/02   \n",
       "11262  https://www.nhl.com/gamecenter/2017020193  2017/11/02   \n",
       "11263  https://www.nhl.com/gamecenter/2017020194  2017/11/02   \n",
       "11264  https://www.nhl.com/gamecenter/2017020195  2017/11/02   \n",
       "11265  https://www.nhl.com/gamecenter/2017020196  2017/11/02   \n",
       "11266  https://www.nhl.com/gamecenter/2017020197  2017/11/02   \n",
       "11267  https://www.nhl.com/gamecenter/2017020198  2017/11/03   \n",
       "11268  https://www.nhl.com/gamecenter/2017020199  2017/11/03   \n",
       "11269  https://www.nhl.com/gamecenter/2017020200  2017/11/04   \n",
       "11270  https://www.nhl.com/gamecenter/2017020201  2017/11/04   \n",
       "11271  https://www.nhl.com/gamecenter/2017020202  2017/11/04   \n",
       "11272  https://www.nhl.com/gamecenter/2017020203  2017/11/04   \n",
       "11273  https://www.nhl.com/gamecenter/2017020204  2017/11/04   \n",
       "11274  https://www.nhl.com/gamecenter/2017020205  2017/11/04   \n",
       "11275  https://www.nhl.com/gamecenter/2017020206  2017/11/04   \n",
       "11276  https://www.nhl.com/gamecenter/2017020207  2017/11/04   \n",
       "11277  https://www.nhl.com/gamecenter/2017020208  2017/11/04   \n",
       "11278  https://www.nhl.com/gamecenter/2017020209  2017/11/04   \n",
       "11279  https://www.nhl.com/gamecenter/2017020210  2017/11/04   \n",
       "11280  https://www.nhl.com/gamecenter/2017020211  2017/11/04   \n",
       "11281  https://www.nhl.com/gamecenter/2017020212  2017/11/04   \n",
       "11282  https://www.nhl.com/gamecenter/2017020213  2017/11/05   \n",
       "11283  https://www.nhl.com/gamecenter/2017020214  2017/11/05   \n",
       "11284  https://www.nhl.com/gamecenter/2017020215  2017/11/05   \n",
       "...                                          ...         ...   \n",
       "12311  https://www.nhl.com/gamecenter/2017021242  2018/04/05   \n",
       "12312  https://www.nhl.com/gamecenter/2017021243  2018/04/05   \n",
       "12313  https://www.nhl.com/gamecenter/2017021244  2018/04/05   \n",
       "12314  https://www.nhl.com/gamecenter/2017021245  2018/04/05   \n",
       "12315  https://www.nhl.com/gamecenter/2017021246  2018/04/05   \n",
       "12316  https://www.nhl.com/gamecenter/2017021247  2018/04/05   \n",
       "12317  https://www.nhl.com/gamecenter/2017021248  2018/04/05   \n",
       "12318  https://www.nhl.com/gamecenter/2017021249  2018/04/05   \n",
       "12319  https://www.nhl.com/gamecenter/2017021250  2018/04/05   \n",
       "12320  https://www.nhl.com/gamecenter/2017021251  2018/04/05   \n",
       "12321  https://www.nhl.com/gamecenter/2017021252  2018/04/05   \n",
       "12322  https://www.nhl.com/gamecenter/2017021253  2018/04/06   \n",
       "12323  https://www.nhl.com/gamecenter/2017021254  2018/04/06   \n",
       "12324  https://www.nhl.com/gamecenter/2017021255  2018/04/06   \n",
       "12325  https://www.nhl.com/gamecenter/2017021256  2018/04/06   \n",
       "12326  https://www.nhl.com/gamecenter/2017021257  2018/04/07   \n",
       "12327  https://www.nhl.com/gamecenter/2017021258  2018/04/07   \n",
       "12328  https://www.nhl.com/gamecenter/2017021259  2018/04/07   \n",
       "12329  https://www.nhl.com/gamecenter/2017021260  2018/04/07   \n",
       "12330  https://www.nhl.com/gamecenter/2017021261  2018/04/07   \n",
       "12331  https://www.nhl.com/gamecenter/2017021262  2018/04/07   \n",
       "12332  https://www.nhl.com/gamecenter/2017021263  2018/04/07   \n",
       "12333  https://www.nhl.com/gamecenter/2017021264  2018/04/07   \n",
       "12334  https://www.nhl.com/gamecenter/2017021265  2018/04/07   \n",
       "12335  https://www.nhl.com/gamecenter/2017021266  2018/04/07   \n",
       "12336  https://www.nhl.com/gamecenter/2017021267  2018/04/07   \n",
       "12337  https://www.nhl.com/gamecenter/2017021268  2018/04/07   \n",
       "12338  https://www.nhl.com/gamecenter/2017021269  2018/04/07   \n",
       "12339  https://www.nhl.com/gamecenter/2017021270  2018/04/07   \n",
       "12340  https://www.nhl.com/gamecenter/2017021271  2018/04/07   \n",
       "\n",
       "                    HomeTeam               AwayTeam    CF%      CSh%  \\\n",
       "11255          Boston Bruins   Vegas Golden Knights  -1.12 -0.778916   \n",
       "11256    Washington Capitals     New York Islanders  -1.85 -1.019858   \n",
       "11257        Ottawa Senators      Detroit Red Wings  -1.80  1.591117   \n",
       "11258    Tampa Bay Lightning       New York Rangers  -0.55  1.602127   \n",
       "11259       Florida Panthers  Columbus Blue Jackets  -4.61  1.404778   \n",
       "11260        St. Louis Blues    Philadelphia Flyers  -1.48  0.322340   \n",
       "11261         Minnesota Wild     Montréal Canadiens  -7.28  2.199241   \n",
       "11262          Winnipeg Jets           Dallas Stars  -7.27  1.279969   \n",
       "11263     Colorado Avalanche    Carolina Hurricanes  -8.05  1.788203   \n",
       "11264         Calgary Flames    Pittsburgh Penguins  -0.02 -0.918719   \n",
       "11265                Coyotes         Buffalo Sabres   0.70 -0.117099   \n",
       "11266      Los Angeles Kings    Toronto Maple Leafs  -0.67 -1.010368   \n",
       "11267        Edmonton Oilers      New Jersey Devils  10.07 -3.922388   \n",
       "11268          Anaheim Ducks    Nashville Predators  -4.30  1.022653   \n",
       "11269        Ottawa Senators   Vegas Golden Knights  -2.67  0.587065   \n",
       "11270          Boston Bruins    Washington Capitals   2.52 -0.428826   \n",
       "11271    Tampa Bay Lightning  Columbus Blue Jackets  -2.34  1.188288   \n",
       "11272       Florida Panthers       New York Rangers  -2.72  1.005747   \n",
       "11273    Philadelphia Flyers     Colorado Avalanche   4.05 -0.792848   \n",
       "11274        St. Louis Blues    Toronto Maple Leafs  -1.97 -0.860810   \n",
       "11275          Winnipeg Jets     Montréal Canadiens  -9.88  2.498287   \n",
       "11276           Dallas Stars         Buffalo Sabres   2.12 -0.072720   \n",
       "11277         Minnesota Wild     Chicago Blackhawks  -2.23  1.285766   \n",
       "11278                Coyotes    Carolina Hurricanes  -5.97  0.518961   \n",
       "11279      Vancouver Canucks    Pittsburgh Penguins   1.84  0.227064   \n",
       "11280      Los Angeles Kings    Nashville Predators  -0.70  1.051649   \n",
       "11281        San Jose Sharks          Anaheim Ducks   4.46 -0.305430   \n",
       "11282        Edmonton Oilers      Detroit Red Wings   6.61 -1.125780   \n",
       "11283     New York Islanders     Colorado Avalanche   5.00 -0.140451   \n",
       "11284     Chicago Blackhawks     Montréal Canadiens  -5.09  0.946735   \n",
       "...                      ...                    ...    ...       ...   \n",
       "12311     New York Islanders       New York Rangers   0.67  0.423793   \n",
       "12312    Philadelphia Flyers    Carolina Hurricanes  -4.62  0.928352   \n",
       "12313    Washington Capitals    Nashville Predators  -3.14  0.343896   \n",
       "12314  Columbus Blue Jackets    Pittsburgh Penguins  -0.37 -0.623103   \n",
       "12315      Detroit Red Wings     Montréal Canadiens  -1.38  0.572985   \n",
       "12316       Florida Panthers          Boston Bruins  -2.64 -0.547640   \n",
       "12317          Winnipeg Jets         Calgary Flames  -3.39  1.676466   \n",
       "12318        Edmonton Oilers   Vegas Golden Knights  -0.77 -0.821555   \n",
       "12319      Vancouver Canucks                Coyotes  -0.83  0.576046   \n",
       "12320      Los Angeles Kings         Minnesota Wild   2.51 -0.661982   \n",
       "12321        San Jose Sharks     Colorado Avalanche   4.61 -0.903335   \n",
       "12322    Pittsburgh Penguins        Ottawa Senators   4.01  0.658025   \n",
       "12323    Tampa Bay Lightning         Buffalo Sabres   3.06  1.408012   \n",
       "12324     Chicago Blackhawks        St. Louis Blues   0.89 -0.213562   \n",
       "12325          Anaheim Ducks           Dallas Stars  -3.27  0.178248   \n",
       "12326    Philadelphia Flyers       New York Rangers   3.68  0.075572   \n",
       "12327          Boston Bruins        Ottawa Senators   4.56  0.747339   \n",
       "12328    Toronto Maple Leafs     Montréal Canadiens   0.17  1.241113   \n",
       "12329      Detroit Red Wings     New York Islanders   1.19 -0.853688   \n",
       "12330       Florida Panthers         Buffalo Sabres   1.67  0.477836   \n",
       "12331    Washington Capitals      New Jersey Devils  -0.88  0.275763   \n",
       "12332    Carolina Hurricanes    Tampa Bay Lightning   3.56 -1.602513   \n",
       "12333          Winnipeg Jets     Chicago Blackhawks  -2.82  1.344754   \n",
       "12334    Nashville Predators  Columbus Blue Jackets  -0.54  0.483108   \n",
       "12335     Colorado Avalanche        St. Louis Blues  -4.84  1.067996   \n",
       "12336                Coyotes          Anaheim Ducks   0.85 -0.599201   \n",
       "12337         Calgary Flames   Vegas Golden Knights   1.45 -1.401478   \n",
       "12338        Edmonton Oilers      Vancouver Canucks   2.79 -0.349300   \n",
       "12339      Los Angeles Kings           Dallas Stars  -1.42  0.278695   \n",
       "12340        San Jose Sharks         Minnesota Wild   4.54 -0.885210   \n",
       "\n",
       "           CSv%    FF%      FSh%      FSv%     ...      SDiff       Sh%    Sv  \\\n",
       "11255 -0.690236  -0.26 -1.321017 -0.902049     ...       1.68 -2.028334 -1.75   \n",
       "11256 -0.441613  -2.09 -1.575384 -0.341264     ...      -1.31 -2.083285 -0.94   \n",
       "11257  0.092414   1.01  2.044135 -0.612546     ...       3.10  2.640459 -1.18   \n",
       "11258  1.686500  -0.19  1.966037  2.210855     ...      -1.36  3.366109  2.87   \n",
       "11259 -1.736500  -4.64  1.668242 -2.145501     ...      -7.38  2.260701 -2.58   \n",
       "11260  1.266298  -0.79  0.257881  1.725119     ...      -3.14  0.559013  2.81   \n",
       "11261  1.702287  -6.66  2.698675  2.354117     ...      -9.01  3.754386  3.07   \n",
       "11262  0.248114  -8.68  1.990895  0.438289     ...      -8.88  2.158308  0.53   \n",
       "11263  0.112443  -6.16  1.828895  0.231109     ...      -3.70  1.848007 -0.16   \n",
       "11264  1.662550  -1.97 -1.028084  2.492625     ...      -4.14 -0.846410  3.19   \n",
       "11265 -1.068604  -0.05  0.011897 -1.381632     ...       0.52  0.318357 -2.60   \n",
       "11266  2.496006  -0.12 -1.452670  3.206645     ...       2.82 -2.369310  3.98   \n",
       "11267 -1.202827   8.89 -4.417537 -2.053484     ...      11.49 -6.435314 -2.47   \n",
       "11268  0.606618  -3.98  1.186849  0.897025     ...      -4.22  1.676245  1.01   \n",
       "11269 -0.074186   0.20  0.243393 -0.406761     ...       3.74 -0.405743 -0.98   \n",
       "11270  0.370005   4.00 -0.778479  0.263819     ...       3.49 -0.602652  0.36   \n",
       "11271  0.022553  -2.99  1.603570  0.136689     ...      -6.92  3.342304  0.07   \n",
       "11272 -0.674392  -1.86  1.000000 -0.822470     ...      -3.10  1.069410 -0.63   \n",
       "11273  0.220859   5.58 -0.893793 -0.213455     ...       5.75 -1.019856 -0.09   \n",
       "11274  2.207287   0.51 -1.442934  2.543092     ...       1.48 -2.254615  3.43   \n",
       "11275  2.499954 -10.24  3.458830  3.379963     ...     -12.03  4.533343  4.29   \n",
       "11276  1.014005   3.11 -0.058545  1.008008     ...       2.98  0.217847  1.31   \n",
       "11277 -0.813084   0.15  1.108328 -1.167134     ...      -0.56  1.735545 -1.55   \n",
       "11278 -1.689846  -5.32  0.534004 -2.167614     ...      -6.64  0.795283 -3.19   \n",
       "11279  1.455253   0.47  0.299292  2.286731     ...      -0.34  0.689855  2.99   \n",
       "11280  1.785846  -1.35  1.410535  2.522526     ...       1.90  1.338491  3.16   \n",
       "11281  0.551084   6.10 -0.238062  0.172335     ...       6.88 -0.600370  0.69   \n",
       "11282 -0.615481   8.14 -1.201258 -1.638301     ...      10.26 -1.715984 -1.96   \n",
       "11283 -0.457458   4.25  0.385695 -0.865822     ...       2.00  0.858511 -0.46   \n",
       "11284  3.246068  -7.45  1.710062  4.511779     ...      -8.90  2.210907  5.87   \n",
       "...         ...    ...       ...       ...     ...        ...       ...   ...   \n",
       "12311 -0.598501  -0.22  0.839328 -0.807838     ...       0.24  1.020508 -1.14   \n",
       "12312  0.747327  -3.26  1.137824  0.719856     ...      -3.32  1.321969  1.07   \n",
       "12313 -0.481172  -3.72  0.550850 -0.573392     ...      -2.79  0.902421 -1.37   \n",
       "12314  0.651480  -0.02 -0.869307  0.839436     ...      -0.84 -0.948293  1.12   \n",
       "12315 -0.193005  -0.76  0.424966 -0.026469     ...      -1.85  0.818227 -0.02   \n",
       "12316 -0.201270  -2.23 -0.907804 -0.181972     ...      -3.47 -1.378781  0.08   \n",
       "12317  0.720459  -2.40  2.171508  0.763089     ...      -2.04  2.638869  1.20   \n",
       "12318 -0.761300  -0.07 -1.179930 -1.136246     ...      -0.67 -1.682599 -1.33   \n",
       "12319 -0.445088   0.30  0.536744 -0.626293     ...      -0.40  0.447772 -0.33   \n",
       "12320  0.488064   1.52 -0.699399  0.745013     ...       0.91 -0.622372  1.02   \n",
       "12321  0.046145   5.38 -1.188533 -0.166286     ...       6.02 -1.359431 -0.29   \n",
       "12322  0.090719   4.47  0.663833  0.215817     ...       5.94  0.650082  0.51   \n",
       "12323  0.803161   2.78  2.014580  0.946230     ...       1.71  3.112165  1.49   \n",
       "12324 -0.386672  -1.82  0.093266 -0.216527     ...      -1.34 -0.081398 -0.30   \n",
       "12325  0.585604  -3.44  0.008610  1.044635     ...      -4.76  0.330649  1.31   \n",
       "12326 -0.024689   4.02  0.216305 -0.243279     ...       6.09  0.365961 -0.69   \n",
       "12327  0.812363   4.59  0.828493  1.255941     ...       5.75  1.179390  1.68   \n",
       "12328  0.488001  -0.85  1.551522  1.047551     ...      -2.02  2.459577  1.38   \n",
       "12329  0.299552   2.39 -1.436568  0.368034     ...       2.75 -1.640704  0.32   \n",
       "12330  0.871174   2.06  0.578072  1.067943     ...       1.89  0.808638  1.64   \n",
       "12331  0.143243  -2.07  0.717401  0.175727     ...      -2.67  1.344136 -0.01   \n",
       "12332 -0.894270   2.83 -1.997768 -1.117389     ...       4.87 -2.779206 -2.00   \n",
       "12333  0.784104  -0.73  1.351599  0.974617     ...      -1.00  2.114554  1.08   \n",
       "12334  0.515159  -1.42  0.805334  0.748620     ...      -2.48  1.260247  1.06   \n",
       "12335  0.148075  -6.09  1.543005  0.427952     ...      -6.69  2.076703  0.38   \n",
       "12336 -0.809415  -0.45 -0.538754 -1.009587     ...       0.47 -0.790485 -1.70   \n",
       "12337 -0.501375   0.98 -1.910827 -0.502267     ...       0.42 -2.343425 -0.83   \n",
       "12338 -0.013203   3.49 -0.451989 -0.233029     ...       3.64 -0.545256 -0.18   \n",
       "12339  0.623486  -1.54  0.203981  1.032315     ...      -1.76  0.439817  1.28   \n",
       "12340  0.067829   4.15 -0.866669 -0.089346     ...       3.57 -0.815267 -0.02   \n",
       "\n",
       "       FOW%        W%  FavoritesW%  Result  0_Confidence  1_Confidence  \\\n",
       "11255  -0.8 -0.327273     0.257362       1      0.462562      0.537438   \n",
       "11256   3.0 -0.166667     0.368909       1      0.541660      0.458340   \n",
       "11257   6.7 -0.044872     0.321633       1      0.430646      0.569354   \n",
       "11258  -2.8  0.461538     0.340786       0      0.402705      0.597295   \n",
       "11259   5.9 -0.303030     0.340977       0      0.548868      0.451132   \n",
       "11260  -3.1  0.269231     0.334474       0      0.408040      0.591960   \n",
       "11261   5.0  0.066667     0.318442       1      0.439287      0.560713   \n",
       "11262  -1.0 -0.037879     0.316555       1      0.517838      0.482162   \n",
       "11263  -7.4  0.145455     0.342385       1      0.465360      0.534640   \n",
       "11264  -2.2 -0.038462     0.348636       1      0.451778      0.548222   \n",
       "11265  -3.6 -0.173077     0.363854       0      0.517669      0.482331   \n",
       "11266  -2.3  0.166667     0.316133       1      0.513030      0.486970   \n",
       "11267   2.7 -0.545455     0.372082       1      0.452890      0.547110   \n",
       "11268  -0.9  0.083333     0.344073       0      0.445803      0.554197   \n",
       "11269   1.8 -0.205128     0.276056       0      0.409125      0.590875   \n",
       "11270   0.3 -0.006993     0.353133       0      0.406970      0.593030   \n",
       "11271   4.0  0.021978     0.352902       1      0.472157      0.527843   \n",
       "11272   0.3 -0.023810     0.328983       0      0.444197      0.555803   \n",
       "11273   6.7 -0.083333     0.336525       0      0.413694      0.586306   \n",
       "11274  -5.0  0.142857     0.338438       1      0.490988      0.509012   \n",
       "11275   2.8  0.275641     0.316074       0      0.413062      0.586938   \n",
       "11276   1.4  0.230769     0.339449       1      0.404212      0.595788   \n",
       "11277   0.4 -0.006993     0.331926       0      0.411700      0.588300   \n",
       "11278  -4.9 -0.292208     0.344535       1      0.595848      0.404152   \n",
       "11279   2.9 -0.033333     0.346571       1      0.396736      0.603264   \n",
       "11280  -2.3  0.352564     0.318672       0      0.418615      0.581385   \n",
       "11281   0.5  0.083333     0.339439       1      0.403737      0.596263   \n",
       "11282   3.7 -0.095238     0.363360       0      0.389985      0.610015   \n",
       "11283   1.9 -0.044872     0.349488       1      0.409811      0.590189   \n",
       "11284   2.2  0.153846     0.318886       0      0.402363      0.597637   \n",
       "...     ...       ...          ...     ...           ...           ...   \n",
       "12311  -0.4 -0.012500     0.337800       1      0.412506      0.587494   \n",
       "12312  -0.6  0.062500     0.329913       1      0.431752      0.568248   \n",
       "12313  -2.7 -0.037500     0.366050       0      0.493305      0.506695   \n",
       "12314  -1.8  0.000000     0.352260       0      0.473951      0.526049   \n",
       "12315   0.9  0.025000     0.331360       0      0.408471      0.591529   \n",
       "12316   0.4 -0.101266     0.341923       1      0.568525      0.431475   \n",
       "12317   2.7  0.175000     0.335426       1      0.413082      0.586918   \n",
       "12318  -0.3 -0.212500     0.348018       1      0.476119      0.523881   \n",
       "12319   1.6  0.012500     0.342396       1      0.413420      0.586580   \n",
       "12320  -0.2 -0.006962     0.313254       1      0.406024      0.593976   \n",
       "12321   7.2  0.025000     0.334216       1      0.417777      0.582223   \n",
       "12322  -0.1  0.212500     0.334651       1      0.397138      0.602862   \n",
       "12323  -3.3  0.350000     0.371391       1      0.401783      0.598217   \n",
       "12324  -1.4 -0.125000     0.338605       0      0.481082      0.518918   \n",
       "12325  -1.1  0.012500     0.332694       1      0.483084      0.516916   \n",
       "12326   4.1  0.086420     0.324932       1      0.414302      0.585698   \n",
       "12327   0.1  0.262500     0.321638       1      0.403184      0.596816   \n",
       "12328   4.1  0.234568     0.332256       1      0.417460      0.582540   \n",
       "12329   0.0 -0.049383     0.348244       0      0.388044      0.611956   \n",
       "12330  -0.7  0.212500     0.362607       1      0.399801      0.600199   \n",
       "12331   3.3  0.049383     0.374618       1      0.430622      0.569378   \n",
       "12332   5.7 -0.230401     0.351361       1      0.466442      0.533558   \n",
       "12333   3.0  0.217130     0.334012       1      0.416525      0.583475   \n",
       "12334   4.6  0.086420     0.343614       1      0.423656      0.576344   \n",
       "12335  -6.7 -0.018981     0.346984       1      0.506027      0.493973   \n",
       "12336  -3.6 -0.166975     0.356963       0      0.574730      0.425270   \n",
       "12337   0.4 -0.185185     0.321894       1      0.454976      0.545024   \n",
       "12338  -1.0  0.049383     0.353433       1      0.405870      0.594130   \n",
       "12339  -2.6  0.043056     0.303387       0      0.403840      0.596160   \n",
       "12340   1.4  0.012346     0.329381       0      0.404904      0.595096   \n",
       "\n",
       "       Prediction  \n",
       "11255           1  \n",
       "11256           0  \n",
       "11257           1  \n",
       "11258           1  \n",
       "11259           0  \n",
       "11260           1  \n",
       "11261           1  \n",
       "11262           0  \n",
       "11263           1  \n",
       "11264           1  \n",
       "11265           0  \n",
       "11266           0  \n",
       "11267           1  \n",
       "11268           1  \n",
       "11269           1  \n",
       "11270           1  \n",
       "11271           1  \n",
       "11272           1  \n",
       "11273           1  \n",
       "11274           1  \n",
       "11275           1  \n",
       "11276           1  \n",
       "11277           1  \n",
       "11278           0  \n",
       "11279           1  \n",
       "11280           1  \n",
       "11281           1  \n",
       "11282           1  \n",
       "11283           1  \n",
       "11284           1  \n",
       "...           ...  \n",
       "12311           1  \n",
       "12312           1  \n",
       "12313           0  \n",
       "12314           1  \n",
       "12315           1  \n",
       "12316           0  \n",
       "12317           1  \n",
       "12318           1  \n",
       "12319           1  \n",
       "12320           1  \n",
       "12321           1  \n",
       "12322           1  \n",
       "12323           1  \n",
       "12324           1  \n",
       "12325           1  \n",
       "12326           1  \n",
       "12327           1  \n",
       "12328           1  \n",
       "12329           1  \n",
       "12330           1  \n",
       "12331           1  \n",
       "12332           1  \n",
       "12333           1  \n",
       "12334           1  \n",
       "12335           0  \n",
       "12336           0  \n",
       "12337           1  \n",
       "12338           1  \n",
       "12339           1  \n",
       "12340           1  \n",
       "\n",
       "[1086 rows x 25 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import metrics\n",
    "\n",
    "predictProba = clf_D.predict_proba(newx_all)\n",
    "print(clf_D.classes_)\n",
    "display(predictProba)\n",
    "\n",
    "newGamesFrame['0_Confidence'] = predictProba[:,0]\n",
    "newGamesFrame['1_Confidence'] = predictProba[:,1]\n",
    "\n",
    "predictions = clf_B.predict(newx_all)\n",
    "print(f1_score(newy_all, predictions), sum(newy_all == predictions) / float(len(predictions)))\n",
    "# predictDf = pd.DataFrame(predictions, columns=['prediction'])\n",
    "newGamesFrame['Prediction'] = predictions\n",
    "\n",
    "newGamesFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[142, 325],\n",
       "       [118, 501]])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "When home team wins, classifier predicts they will win  80.94% of the time\n",
      "When home team loses, classifier predicts they will win  69.59% of the time\n",
      "When home team loses, classifier predicts they will lose  30.41% of the time\n",
      "When classifer predicts home team will win, home team actually wins  60.65% of the time\n",
      "When classifer predicts home team will lose, home team actually loses  54.62% of the time\n"
     ]
    }
   ],
   "source": [
    "confusionMatrix = metrics.confusion_matrix(newy_all, predictions)\n",
    "display(confusionMatrix)\n",
    "\n",
    "tn = confusionMatrix[0][0]\n",
    "fp = confusionMatrix[0][1]\n",
    "fn = confusionMatrix[1][0]\n",
    "tp = confusionMatrix[1][1]\n",
    "actualYes = fn + tp \n",
    "actualNo = tn + fp\n",
    "predictedYes = fp + tp\n",
    "predictedNo = tn + fn\n",
    "\n",
    "print('When home team wins, classifier predicts they will win %6.2f%% of the time' % (tp / actualYes * 100))\n",
    "print('When home team loses, classifier predicts they will win %6.2f%% of the time' % (fp / actualNo * 100))\n",
    "print('When home team loses, classifier predicts they will lose %6.2f%% of the time' % (tn / actualNo * 100))\n",
    "print('When classifer predicts home team will win, home team actually wins %6.2f%% of the time' % (tp / predictedYes * 100))\n",
    "print('When classifer predicts home team will lose, home team actually loses %6.2f%% of the time' % (tn / predictedNo * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>HomeTeam</th>\n",
       "      <th>AwayTeam</th>\n",
       "      <th>HomeOdds</th>\n",
       "      <th>AwayOdds</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Date, HomeTeam, AwayTeam, HomeOdds, AwayOdds]\n",
       "Index: []"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oddsFrame = pd.read_csv(r'/Users/Milton/Developer/Hockey/Article Testing Sandbox/Odds 2007-2018 Raw.csv')\n",
    "\n",
    "oddsFrame.loc[(oddsFrame['HomeTeam'] == 'New York Islanders') & (oddsFrame['Date'] == '2018/01/01')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1086/1086 [08:32<00:00,  1.55it/s]\n"
     ]
    },
    {
     "data": {
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       "      <th>Date</th>\n",
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       "      <th>FSh%</th>\n",
       "      <th>FSv%</th>\n",
       "      <th>...</th>\n",
       "      <th>Prediction</th>\n",
       "      <th>VegasPrediction</th>\n",
       "      <th>HomePayout</th>\n",
       "      <th>AwayPayout</th>\n",
       "      <th>BetEvenOutcome</th>\n",
       "      <th>BetWith100Outcome</th>\n",
       "      <th>BetFor100Outcome</th>\n",
       "      <th>BetFor100TotalInvestment</th>\n",
       "      <th>VegasBetWith100Outcome</th>\n",
       "      <th>VegasBetFor100Outcome</th>\n",
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       "      <th>11255</th>\n",
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       "      <td>Boston Bruins</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
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       "      <td>-0.778916</td>\n",
       "      <td>-0.690236</td>\n",
       "      <td>-0.26</td>\n",
       "      <td>-1.321017</td>\n",
       "      <td>-0.902049</td>\n",
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       "      <td>100.0</td>\n",
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       "    <tr>\n",
       "      <th>11256</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020187</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>-1.85</td>\n",
       "      <td>-1.019858</td>\n",
       "      <td>-0.441613</td>\n",
       "      <td>-2.09</td>\n",
       "      <td>-1.575384</td>\n",
       "      <td>-0.341264</td>\n",
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       "      <td>0.751880</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-83.333333</td>\n",
       "      <td>83.333333</td>\n",
       "      <td>75.187970</td>\n",
       "      <td>100.0</td>\n",
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       "    <tr>\n",
       "      <th>11257</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020188</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>-1.80</td>\n",
       "      <td>1.591117</td>\n",
       "      <td>0.092414</td>\n",
       "      <td>1.01</td>\n",
       "      <td>2.044135</td>\n",
       "      <td>-0.612546</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.694444</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>100</td>\n",
       "      <td>69.444444</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>69.444444</td>\n",
       "      <td>100.0</td>\n",
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       "    <tr>\n",
       "      <th>11258</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020189</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>1.602127</td>\n",
       "      <td>1.686500</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>1.966037</td>\n",
       "      <td>2.210855</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.602410</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-166.000000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-166.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11259</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020190</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>-4.61</td>\n",
       "      <td>1.404778</td>\n",
       "      <td>-1.736500</td>\n",
       "      <td>-4.64</td>\n",
       "      <td>1.668242</td>\n",
       "      <td>-2.145501</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.980392</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>100</td>\n",
       "      <td>92.592593</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>92.592593</td>\n",
       "      <td>100.0</td>\n",
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       "    <tr>\n",
       "      <th>11260</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020191</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>-1.48</td>\n",
       "      <td>0.322340</td>\n",
       "      <td>1.266298</td>\n",
       "      <td>-0.79</td>\n",
       "      <td>0.257881</td>\n",
       "      <td>1.725119</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.540541</td>\n",
       "      <td>1.660000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
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       "      <td>185.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11261</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020192</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>-7.28</td>\n",
       "      <td>2.199241</td>\n",
       "      <td>1.702287</td>\n",
       "      <td>-6.66</td>\n",
       "      <td>2.698675</td>\n",
       "      <td>2.354117</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.854701</td>\n",
       "      <td>1.060000</td>\n",
       "      <td>100</td>\n",
       "      <td>85.470085</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>85.470085</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11262</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020193</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Winnipeg Jets</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>-7.27</td>\n",
       "      <td>1.279969</td>\n",
       "      <td>0.248114</td>\n",
       "      <td>-8.68</td>\n",
       "      <td>1.990895</td>\n",
       "      <td>0.438289</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.934579</td>\n",
       "      <td>0.970874</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-103.000000</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>93.457944</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11263</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020194</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>-8.05</td>\n",
       "      <td>1.788203</td>\n",
       "      <td>0.112443</td>\n",
       "      <td>-6.16</td>\n",
       "      <td>1.828895</td>\n",
       "      <td>0.231109</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.110000</td>\n",
       "      <td>0.813008</td>\n",
       "      <td>100</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>90.090090</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11264</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020195</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.918719</td>\n",
       "      <td>1.662550</td>\n",
       "      <td>-1.97</td>\n",
       "      <td>-1.028084</td>\n",
       "      <td>2.492625</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.694444</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>100</td>\n",
       "      <td>69.444444</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>69.444444</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11265</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020196</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>0.70</td>\n",
       "      <td>-0.117099</td>\n",
       "      <td>-1.068604</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.011897</td>\n",
       "      <td>-1.381632</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.854701</td>\n",
       "      <td>1.060000</td>\n",
       "      <td>100</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>94.339623</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11266</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020197</td>\n",
       "      <td>2017/11/02</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>-0.67</td>\n",
       "      <td>-1.010368</td>\n",
       "      <td>2.496006</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-1.452670</td>\n",
       "      <td>3.206645</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.724638</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-80.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>72.463768</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11267</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020198</td>\n",
       "      <td>2017/11/03</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>10.07</td>\n",
       "      <td>-3.922388</td>\n",
       "      <td>-1.202827</td>\n",
       "      <td>8.89</td>\n",
       "      <td>-4.417537</td>\n",
       "      <td>-2.053484</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.518135</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>100</td>\n",
       "      <td>51.813472</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>193.000000</td>\n",
       "      <td>51.813472</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11268</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020199</td>\n",
       "      <td>2017/11/03</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>-4.30</td>\n",
       "      <td>1.022653</td>\n",
       "      <td>0.606618</td>\n",
       "      <td>-3.98</td>\n",
       "      <td>1.186849</td>\n",
       "      <td>0.897025</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>90.909091</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11269</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020200</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
       "      <td>-2.67</td>\n",
       "      <td>0.587065</td>\n",
       "      <td>-0.074186</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.243393</td>\n",
       "      <td>-0.406761</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.492611</td>\n",
       "      <td>1.820000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-203.000000</td>\n",
       "      <td>203.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-203.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11270</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020201</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>2.52</td>\n",
       "      <td>-0.428826</td>\n",
       "      <td>0.370005</td>\n",
       "      <td>4.00</td>\n",
       "      <td>-0.778479</td>\n",
       "      <td>0.263819</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.862069</td>\n",
       "      <td>1.050000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-116.000000</td>\n",
       "      <td>116.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-116.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11271</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020202</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>-2.34</td>\n",
       "      <td>1.188288</td>\n",
       "      <td>0.022553</td>\n",
       "      <td>-2.99</td>\n",
       "      <td>1.603570</td>\n",
       "      <td>0.136689</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.806452</td>\n",
       "      <td>1.120000</td>\n",
       "      <td>100</td>\n",
       "      <td>80.645161</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>124.000000</td>\n",
       "      <td>80.645161</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11272</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020203</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>-2.72</td>\n",
       "      <td>1.005747</td>\n",
       "      <td>-0.674392</td>\n",
       "      <td>-1.86</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.822470</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.854701</td>\n",
       "      <td>1.060000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-117.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11273</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020204</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>4.05</td>\n",
       "      <td>-0.792848</td>\n",
       "      <td>0.220859</td>\n",
       "      <td>5.58</td>\n",
       "      <td>-0.893793</td>\n",
       "      <td>-0.213455</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.581395</td>\n",
       "      <td>1.550000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-172.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-172.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11274</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020205</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>-1.97</td>\n",
       "      <td>-0.860810</td>\n",
       "      <td>2.207287</td>\n",
       "      <td>0.51</td>\n",
       "      <td>-1.442934</td>\n",
       "      <td>2.543092</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.884956</td>\n",
       "      <td>1.020000</td>\n",
       "      <td>100</td>\n",
       "      <td>88.495575</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>113.000000</td>\n",
       "      <td>88.495575</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11275</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020206</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Winnipeg Jets</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>-9.88</td>\n",
       "      <td>2.498287</td>\n",
       "      <td>2.499954</td>\n",
       "      <td>-10.24</td>\n",
       "      <td>3.458830</td>\n",
       "      <td>3.379963</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.840336</td>\n",
       "      <td>1.080000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-119.000000</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-119.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11276</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020207</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>2.12</td>\n",
       "      <td>-0.072720</td>\n",
       "      <td>1.014005</td>\n",
       "      <td>3.11</td>\n",
       "      <td>-0.058545</td>\n",
       "      <td>1.008008</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.591716</td>\n",
       "      <td>1.520000</td>\n",
       "      <td>100</td>\n",
       "      <td>59.171598</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>169.000000</td>\n",
       "      <td>59.171598</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11277</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020208</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>-2.23</td>\n",
       "      <td>1.285766</td>\n",
       "      <td>-0.813084</td>\n",
       "      <td>0.15</td>\n",
       "      <td>1.108328</td>\n",
       "      <td>-1.167134</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.813008</td>\n",
       "      <td>1.110000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-123.000000</td>\n",
       "      <td>123.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11278</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020209</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>-5.97</td>\n",
       "      <td>0.518961</td>\n",
       "      <td>-1.689846</td>\n",
       "      <td>-5.32</td>\n",
       "      <td>0.534004</td>\n",
       "      <td>-2.167614</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.320000</td>\n",
       "      <td>0.684932</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-146.000000</td>\n",
       "      <td>146.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-146.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11279</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020210</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>1.84</td>\n",
       "      <td>0.227064</td>\n",
       "      <td>1.455253</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.299292</td>\n",
       "      <td>2.286731</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.110000</td>\n",
       "      <td>0.813008</td>\n",
       "      <td>100</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>90.090090</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11280</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020211</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>-0.70</td>\n",
       "      <td>1.051649</td>\n",
       "      <td>1.785846</td>\n",
       "      <td>-1.35</td>\n",
       "      <td>1.410535</td>\n",
       "      <td>2.522526</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.680272</td>\n",
       "      <td>1.330000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-147.000000</td>\n",
       "      <td>147.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11281</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020212</td>\n",
       "      <td>2017/11/04</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>4.46</td>\n",
       "      <td>-0.305430</td>\n",
       "      <td>0.551084</td>\n",
       "      <td>6.10</td>\n",
       "      <td>-0.238062</td>\n",
       "      <td>0.172335</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.574713</td>\n",
       "      <td>1.570000</td>\n",
       "      <td>100</td>\n",
       "      <td>57.471264</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>174.000000</td>\n",
       "      <td>57.471264</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11282</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020213</td>\n",
       "      <td>2017/11/05</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>6.61</td>\n",
       "      <td>-1.125780</td>\n",
       "      <td>-0.615481</td>\n",
       "      <td>8.14</td>\n",
       "      <td>-1.201258</td>\n",
       "      <td>-1.638301</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-200.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11283</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020214</td>\n",
       "      <td>2017/11/05</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>5.00</td>\n",
       "      <td>-0.140451</td>\n",
       "      <td>-0.457458</td>\n",
       "      <td>4.25</td>\n",
       "      <td>0.385695</td>\n",
       "      <td>-0.865822</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>1.880000</td>\n",
       "      <td>100</td>\n",
       "      <td>47.619048</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>210.000000</td>\n",
       "      <td>47.619048</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11284</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020215</td>\n",
       "      <td>2017/11/05</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>-5.09</td>\n",
       "      <td>0.946735</td>\n",
       "      <td>3.246068</td>\n",
       "      <td>-7.45</td>\n",
       "      <td>1.710062</td>\n",
       "      <td>4.511779</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.740741</td>\n",
       "      <td>1.220000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-135.000000</td>\n",
       "      <td>135.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12311</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021242</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.423793</td>\n",
       "      <td>-0.598501</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>0.839328</td>\n",
       "      <td>-0.807838</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.719424</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>100</td>\n",
       "      <td>71.942446</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>71.942446</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12312</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021243</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>-4.62</td>\n",
       "      <td>0.928352</td>\n",
       "      <td>0.747327</td>\n",
       "      <td>-3.26</td>\n",
       "      <td>1.137824</td>\n",
       "      <td>0.719856</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.578035</td>\n",
       "      <td>1.560000</td>\n",
       "      <td>100</td>\n",
       "      <td>57.803468</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>57.803468</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12313</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021244</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>-3.14</td>\n",
       "      <td>0.343896</td>\n",
       "      <td>-0.481172</td>\n",
       "      <td>-3.72</td>\n",
       "      <td>0.550850</td>\n",
       "      <td>-0.573392</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.970874</td>\n",
       "      <td>0.934579</td>\n",
       "      <td>100</td>\n",
       "      <td>93.457944</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>107.000000</td>\n",
       "      <td>93.457944</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12314</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021245</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>-0.623103</td>\n",
       "      <td>0.651480</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.869307</td>\n",
       "      <td>0.839436</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-110.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-110.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12315</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021246</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>-1.38</td>\n",
       "      <td>0.572985</td>\n",
       "      <td>-0.193005</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>0.424966</td>\n",
       "      <td>-0.026469</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.684932</td>\n",
       "      <td>1.320000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-146.000000</td>\n",
       "      <td>146.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-146.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12316</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021247</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>-2.64</td>\n",
       "      <td>-0.547640</td>\n",
       "      <td>-0.201270</td>\n",
       "      <td>-2.23</td>\n",
       "      <td>-0.907804</td>\n",
       "      <td>-0.181972</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.130000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-125.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12317</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021248</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Winnipeg Jets</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>-3.39</td>\n",
       "      <td>1.676466</td>\n",
       "      <td>0.720459</td>\n",
       "      <td>-2.40</td>\n",
       "      <td>2.171508</td>\n",
       "      <td>0.763089</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>2.010000</td>\n",
       "      <td>100</td>\n",
       "      <td>44.444444</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>44.444444</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12318</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021249</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
       "      <td>-0.77</td>\n",
       "      <td>-0.821555</td>\n",
       "      <td>-0.761300</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-1.179930</td>\n",
       "      <td>-1.136246</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.110000</td>\n",
       "      <td>0.813008</td>\n",
       "      <td>100</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>90.090090</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12319</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021250</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>-0.83</td>\n",
       "      <td>0.576046</td>\n",
       "      <td>-0.445088</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.536744</td>\n",
       "      <td>-0.626293</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.917431</td>\n",
       "      <td>0.990099</td>\n",
       "      <td>100</td>\n",
       "      <td>91.743119</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>109.000000</td>\n",
       "      <td>91.743119</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12320</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021251</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>2.51</td>\n",
       "      <td>-0.661982</td>\n",
       "      <td>0.488064</td>\n",
       "      <td>1.52</td>\n",
       "      <td>-0.699399</td>\n",
       "      <td>0.745013</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>1.580000</td>\n",
       "      <td>100</td>\n",
       "      <td>57.142857</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>175.000000</td>\n",
       "      <td>57.142857</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12321</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021252</td>\n",
       "      <td>2018/04/05</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>4.61</td>\n",
       "      <td>-0.903335</td>\n",
       "      <td>0.046145</td>\n",
       "      <td>5.38</td>\n",
       "      <td>-1.188533</td>\n",
       "      <td>-0.166286</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.588235</td>\n",
       "      <td>1.530000</td>\n",
       "      <td>100</td>\n",
       "      <td>58.823529</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>58.823529</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12322</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021253</td>\n",
       "      <td>2018/04/06</td>\n",
       "      <td>Pittsburgh Penguins</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>4.01</td>\n",
       "      <td>0.658025</td>\n",
       "      <td>0.090719</td>\n",
       "      <td>4.47</td>\n",
       "      <td>0.663833</td>\n",
       "      <td>0.215817</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.359712</td>\n",
       "      <td>2.460000</td>\n",
       "      <td>100</td>\n",
       "      <td>35.971223</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>278.000000</td>\n",
       "      <td>35.971223</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12323</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021254</td>\n",
       "      <td>2018/04/06</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>3.06</td>\n",
       "      <td>1.408012</td>\n",
       "      <td>0.803161</td>\n",
       "      <td>2.78</td>\n",
       "      <td>2.014580</td>\n",
       "      <td>0.946230</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.299401</td>\n",
       "      <td>2.920000</td>\n",
       "      <td>100</td>\n",
       "      <td>29.940120</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>334.000000</td>\n",
       "      <td>29.940120</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12324</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021255</td>\n",
       "      <td>2018/04/06</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>0.89</td>\n",
       "      <td>-0.213562</td>\n",
       "      <td>-0.386672</td>\n",
       "      <td>-1.82</td>\n",
       "      <td>0.093266</td>\n",
       "      <td>-0.216527</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>0.694444</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-76.923077</td>\n",
       "      <td>76.923077</td>\n",
       "      <td>69.444444</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12325</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021256</td>\n",
       "      <td>2018/04/06</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>-3.27</td>\n",
       "      <td>0.178248</td>\n",
       "      <td>0.585604</td>\n",
       "      <td>-3.44</td>\n",
       "      <td>0.008610</td>\n",
       "      <td>1.044635</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.617284</td>\n",
       "      <td>1.460000</td>\n",
       "      <td>100</td>\n",
       "      <td>61.728395</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>162.000000</td>\n",
       "      <td>61.728395</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12326</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021257</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>3.68</td>\n",
       "      <td>0.075572</td>\n",
       "      <td>-0.024689</td>\n",
       "      <td>4.02</td>\n",
       "      <td>0.216305</td>\n",
       "      <td>-0.243279</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.357143</td>\n",
       "      <td>2.480000</td>\n",
       "      <td>100</td>\n",
       "      <td>35.714286</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>280.000000</td>\n",
       "      <td>35.714286</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12327</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021258</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>4.56</td>\n",
       "      <td>0.747339</td>\n",
       "      <td>0.812363</td>\n",
       "      <td>4.59</td>\n",
       "      <td>0.828493</td>\n",
       "      <td>1.255941</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.274725</td>\n",
       "      <td>3.170000</td>\n",
       "      <td>100</td>\n",
       "      <td>27.472527</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>364.000000</td>\n",
       "      <td>27.472527</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12328</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021259</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Toronto Maple Leafs</td>\n",
       "      <td>Montréal Canadiens</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1.241113</td>\n",
       "      <td>0.488001</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>1.551522</td>\n",
       "      <td>1.047551</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.434783</td>\n",
       "      <td>2.050000</td>\n",
       "      <td>100</td>\n",
       "      <td>43.478261</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>230.000000</td>\n",
       "      <td>43.478261</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12329</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021260</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Detroit Red Wings</td>\n",
       "      <td>New York Islanders</td>\n",
       "      <td>1.19</td>\n",
       "      <td>-0.853688</td>\n",
       "      <td>0.299552</td>\n",
       "      <td>2.39</td>\n",
       "      <td>-1.436568</td>\n",
       "      <td>0.368034</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.813008</td>\n",
       "      <td>1.110000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-123.000000</td>\n",
       "      <td>123.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12330</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021261</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>Buffalo Sabres</td>\n",
       "      <td>1.67</td>\n",
       "      <td>0.477836</td>\n",
       "      <td>0.871174</td>\n",
       "      <td>2.06</td>\n",
       "      <td>0.578072</td>\n",
       "      <td>1.067943</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.446429</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>100</td>\n",
       "      <td>44.642857</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>224.000000</td>\n",
       "      <td>44.642857</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12331</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021262</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Washington Capitals</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>-0.88</td>\n",
       "      <td>0.275763</td>\n",
       "      <td>0.143243</td>\n",
       "      <td>-2.07</td>\n",
       "      <td>0.717401</td>\n",
       "      <td>0.175727</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.558659</td>\n",
       "      <td>1.610000</td>\n",
       "      <td>100</td>\n",
       "      <td>55.865922</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>179.000000</td>\n",
       "      <td>55.865922</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12332</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021263</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>3.56</td>\n",
       "      <td>-1.602513</td>\n",
       "      <td>-0.894270</td>\n",
       "      <td>2.83</td>\n",
       "      <td>-1.997768</td>\n",
       "      <td>-1.117389</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>0.751880</td>\n",
       "      <td>100</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>83.333333</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-133.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12333</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021264</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Winnipeg Jets</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>-2.82</td>\n",
       "      <td>1.344754</td>\n",
       "      <td>0.784104</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>1.351599</td>\n",
       "      <td>0.974617</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>2.220000</td>\n",
       "      <td>100</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>250.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12334</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021265</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Nashville Predators</td>\n",
       "      <td>Columbus Blue Jackets</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>0.483108</td>\n",
       "      <td>0.515159</td>\n",
       "      <td>-1.42</td>\n",
       "      <td>0.805334</td>\n",
       "      <td>0.748620</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>1.440000</td>\n",
       "      <td>100</td>\n",
       "      <td>62.500000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>62.500000</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12335</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021266</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>St. Louis Blues</td>\n",
       "      <td>-4.84</td>\n",
       "      <td>1.067996</td>\n",
       "      <td>0.148075</td>\n",
       "      <td>-6.09</td>\n",
       "      <td>1.543005</td>\n",
       "      <td>0.427952</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.680272</td>\n",
       "      <td>1.330000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-75.187970</td>\n",
       "      <td>75.187970</td>\n",
       "      <td>68.027211</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12336</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021267</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Coyotes</td>\n",
       "      <td>Anaheim Ducks</td>\n",
       "      <td>0.85</td>\n",
       "      <td>-0.599201</td>\n",
       "      <td>-0.809415</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>-0.538754</td>\n",
       "      <td>-1.009587</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>0.757576</td>\n",
       "      <td>100</td>\n",
       "      <td>75.757576</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>132.000000</td>\n",
       "      <td>75.757576</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12337</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021268</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
       "      <td>1.45</td>\n",
       "      <td>-1.401478</td>\n",
       "      <td>-0.501375</td>\n",
       "      <td>0.98</td>\n",
       "      <td>-1.910827</td>\n",
       "      <td>-0.502267</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>0.724638</td>\n",
       "      <td>100</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-138.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12338</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021269</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Edmonton Oilers</td>\n",
       "      <td>Vancouver Canucks</td>\n",
       "      <td>2.79</td>\n",
       "      <td>-0.349300</td>\n",
       "      <td>-0.013203</td>\n",
       "      <td>3.49</td>\n",
       "      <td>-0.451989</td>\n",
       "      <td>-0.233029</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.529101</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>100</td>\n",
       "      <td>52.910053</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>189.000000</td>\n",
       "      <td>52.910053</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12339</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021270</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>Dallas Stars</td>\n",
       "      <td>-1.42</td>\n",
       "      <td>0.278695</td>\n",
       "      <td>0.623486</td>\n",
       "      <td>-1.54</td>\n",
       "      <td>0.203981</td>\n",
       "      <td>1.032315</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-200.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12340</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021271</td>\n",
       "      <td>2018/04/07</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Minnesota Wild</td>\n",
       "      <td>4.54</td>\n",
       "      <td>-0.885210</td>\n",
       "      <td>0.067829</td>\n",
       "      <td>4.15</td>\n",
       "      <td>-0.866669</td>\n",
       "      <td>-0.089346</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.581395</td>\n",
       "      <td>1.550000</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-172.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-172.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1086 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              ID        Date  \\\n",
       "11255  https://www.nhl.com/gamecenter/2017020186  2017/11/02   \n",
       "11256  https://www.nhl.com/gamecenter/2017020187  2017/11/02   \n",
       "11257  https://www.nhl.com/gamecenter/2017020188  2017/11/02   \n",
       "11258  https://www.nhl.com/gamecenter/2017020189  2017/11/02   \n",
       "11259  https://www.nhl.com/gamecenter/2017020190  2017/11/02   \n",
       "11260  https://www.nhl.com/gamecenter/2017020191  2017/11/02   \n",
       "11261  https://www.nhl.com/gamecenter/2017020192  2017/11/02   \n",
       "11262  https://www.nhl.com/gamecenter/2017020193  2017/11/02   \n",
       "11263  https://www.nhl.com/gamecenter/2017020194  2017/11/02   \n",
       "11264  https://www.nhl.com/gamecenter/2017020195  2017/11/02   \n",
       "11265  https://www.nhl.com/gamecenter/2017020196  2017/11/02   \n",
       "11266  https://www.nhl.com/gamecenter/2017020197  2017/11/02   \n",
       "11267  https://www.nhl.com/gamecenter/2017020198  2017/11/03   \n",
       "11268  https://www.nhl.com/gamecenter/2017020199  2017/11/03   \n",
       "11269  https://www.nhl.com/gamecenter/2017020200  2017/11/04   \n",
       "11270  https://www.nhl.com/gamecenter/2017020201  2017/11/04   \n",
       "11271  https://www.nhl.com/gamecenter/2017020202  2017/11/04   \n",
       "11272  https://www.nhl.com/gamecenter/2017020203  2017/11/04   \n",
       "11273  https://www.nhl.com/gamecenter/2017020204  2017/11/04   \n",
       "11274  https://www.nhl.com/gamecenter/2017020205  2017/11/04   \n",
       "11275  https://www.nhl.com/gamecenter/2017020206  2017/11/04   \n",
       "11276  https://www.nhl.com/gamecenter/2017020207  2017/11/04   \n",
       "11277  https://www.nhl.com/gamecenter/2017020208  2017/11/04   \n",
       "11278  https://www.nhl.com/gamecenter/2017020209  2017/11/04   \n",
       "11279  https://www.nhl.com/gamecenter/2017020210  2017/11/04   \n",
       "11280  https://www.nhl.com/gamecenter/2017020211  2017/11/04   \n",
       "11281  https://www.nhl.com/gamecenter/2017020212  2017/11/04   \n",
       "11282  https://www.nhl.com/gamecenter/2017020213  2017/11/05   \n",
       "11283  https://www.nhl.com/gamecenter/2017020214  2017/11/05   \n",
       "11284  https://www.nhl.com/gamecenter/2017020215  2017/11/05   \n",
       "...                                          ...         ...   \n",
       "12311  https://www.nhl.com/gamecenter/2017021242  2018/04/05   \n",
       "12312  https://www.nhl.com/gamecenter/2017021243  2018/04/05   \n",
       "12313  https://www.nhl.com/gamecenter/2017021244  2018/04/05   \n",
       "12314  https://www.nhl.com/gamecenter/2017021245  2018/04/05   \n",
       "12315  https://www.nhl.com/gamecenter/2017021246  2018/04/05   \n",
       "12316  https://www.nhl.com/gamecenter/2017021247  2018/04/05   \n",
       "12317  https://www.nhl.com/gamecenter/2017021248  2018/04/05   \n",
       "12318  https://www.nhl.com/gamecenter/2017021249  2018/04/05   \n",
       "12319  https://www.nhl.com/gamecenter/2017021250  2018/04/05   \n",
       "12320  https://www.nhl.com/gamecenter/2017021251  2018/04/05   \n",
       "12321  https://www.nhl.com/gamecenter/2017021252  2018/04/05   \n",
       "12322  https://www.nhl.com/gamecenter/2017021253  2018/04/06   \n",
       "12323  https://www.nhl.com/gamecenter/2017021254  2018/04/06   \n",
       "12324  https://www.nhl.com/gamecenter/2017021255  2018/04/06   \n",
       "12325  https://www.nhl.com/gamecenter/2017021256  2018/04/06   \n",
       "12326  https://www.nhl.com/gamecenter/2017021257  2018/04/07   \n",
       "12327  https://www.nhl.com/gamecenter/2017021258  2018/04/07   \n",
       "12328  https://www.nhl.com/gamecenter/2017021259  2018/04/07   \n",
       "12329  https://www.nhl.com/gamecenter/2017021260  2018/04/07   \n",
       "12330  https://www.nhl.com/gamecenter/2017021261  2018/04/07   \n",
       "12331  https://www.nhl.com/gamecenter/2017021262  2018/04/07   \n",
       "12332  https://www.nhl.com/gamecenter/2017021263  2018/04/07   \n",
       "12333  https://www.nhl.com/gamecenter/2017021264  2018/04/07   \n",
       "12334  https://www.nhl.com/gamecenter/2017021265  2018/04/07   \n",
       "12335  https://www.nhl.com/gamecenter/2017021266  2018/04/07   \n",
       "12336  https://www.nhl.com/gamecenter/2017021267  2018/04/07   \n",
       "12337  https://www.nhl.com/gamecenter/2017021268  2018/04/07   \n",
       "12338  https://www.nhl.com/gamecenter/2017021269  2018/04/07   \n",
       "12339  https://www.nhl.com/gamecenter/2017021270  2018/04/07   \n",
       "12340  https://www.nhl.com/gamecenter/2017021271  2018/04/07   \n",
       "\n",
       "                    HomeTeam               AwayTeam    CF%      CSh%  \\\n",
       "11255          Boston Bruins   Vegas Golden Knights  -1.12 -0.778916   \n",
       "11256    Washington Capitals     New York Islanders  -1.85 -1.019858   \n",
       "11257        Ottawa Senators      Detroit Red Wings  -1.80  1.591117   \n",
       "11258    Tampa Bay Lightning       New York Rangers  -0.55  1.602127   \n",
       "11259       Florida Panthers  Columbus Blue Jackets  -4.61  1.404778   \n",
       "11260        St. Louis Blues    Philadelphia Flyers  -1.48  0.322340   \n",
       "11261         Minnesota Wild     Montréal Canadiens  -7.28  2.199241   \n",
       "11262          Winnipeg Jets           Dallas Stars  -7.27  1.279969   \n",
       "11263     Colorado Avalanche    Carolina Hurricanes  -8.05  1.788203   \n",
       "11264         Calgary Flames    Pittsburgh Penguins  -0.02 -0.918719   \n",
       "11265                Coyotes         Buffalo Sabres   0.70 -0.117099   \n",
       "11266      Los Angeles Kings    Toronto Maple Leafs  -0.67 -1.010368   \n",
       "11267        Edmonton Oilers      New Jersey Devils  10.07 -3.922388   \n",
       "11268          Anaheim Ducks    Nashville Predators  -4.30  1.022653   \n",
       "11269        Ottawa Senators   Vegas Golden Knights  -2.67  0.587065   \n",
       "11270          Boston Bruins    Washington Capitals   2.52 -0.428826   \n",
       "11271    Tampa Bay Lightning  Columbus Blue Jackets  -2.34  1.188288   \n",
       "11272       Florida Panthers       New York Rangers  -2.72  1.005747   \n",
       "11273    Philadelphia Flyers     Colorado Avalanche   4.05 -0.792848   \n",
       "11274        St. Louis Blues    Toronto Maple Leafs  -1.97 -0.860810   \n",
       "11275          Winnipeg Jets     Montréal Canadiens  -9.88  2.498287   \n",
       "11276           Dallas Stars         Buffalo Sabres   2.12 -0.072720   \n",
       "11277         Minnesota Wild     Chicago Blackhawks  -2.23  1.285766   \n",
       "11278                Coyotes    Carolina Hurricanes  -5.97  0.518961   \n",
       "11279      Vancouver Canucks    Pittsburgh Penguins   1.84  0.227064   \n",
       "11280      Los Angeles Kings    Nashville Predators  -0.70  1.051649   \n",
       "11281        San Jose Sharks          Anaheim Ducks   4.46 -0.305430   \n",
       "11282        Edmonton Oilers      Detroit Red Wings   6.61 -1.125780   \n",
       "11283     New York Islanders     Colorado Avalanche   5.00 -0.140451   \n",
       "11284     Chicago Blackhawks     Montréal Canadiens  -5.09  0.946735   \n",
       "...                      ...                    ...    ...       ...   \n",
       "12311     New York Islanders       New York Rangers   0.67  0.423793   \n",
       "12312    Philadelphia Flyers    Carolina Hurricanes  -4.62  0.928352   \n",
       "12313    Washington Capitals    Nashville Predators  -3.14  0.343896   \n",
       "12314  Columbus Blue Jackets    Pittsburgh Penguins  -0.37 -0.623103   \n",
       "12315      Detroit Red Wings     Montréal Canadiens  -1.38  0.572985   \n",
       "12316       Florida Panthers          Boston Bruins  -2.64 -0.547640   \n",
       "12317          Winnipeg Jets         Calgary Flames  -3.39  1.676466   \n",
       "12318        Edmonton Oilers   Vegas Golden Knights  -0.77 -0.821555   \n",
       "12319      Vancouver Canucks                Coyotes  -0.83  0.576046   \n",
       "12320      Los Angeles Kings         Minnesota Wild   2.51 -0.661982   \n",
       "12321        San Jose Sharks     Colorado Avalanche   4.61 -0.903335   \n",
       "12322    Pittsburgh Penguins        Ottawa Senators   4.01  0.658025   \n",
       "12323    Tampa Bay Lightning         Buffalo Sabres   3.06  1.408012   \n",
       "12324     Chicago Blackhawks        St. Louis Blues   0.89 -0.213562   \n",
       "12325          Anaheim Ducks           Dallas Stars  -3.27  0.178248   \n",
       "12326    Philadelphia Flyers       New York Rangers   3.68  0.075572   \n",
       "12327          Boston Bruins        Ottawa Senators   4.56  0.747339   \n",
       "12328    Toronto Maple Leafs     Montréal Canadiens   0.17  1.241113   \n",
       "12329      Detroit Red Wings     New York Islanders   1.19 -0.853688   \n",
       "12330       Florida Panthers         Buffalo Sabres   1.67  0.477836   \n",
       "12331    Washington Capitals      New Jersey Devils  -0.88  0.275763   \n",
       "12332    Carolina Hurricanes    Tampa Bay Lightning   3.56 -1.602513   \n",
       "12333          Winnipeg Jets     Chicago Blackhawks  -2.82  1.344754   \n",
       "12334    Nashville Predators  Columbus Blue Jackets  -0.54  0.483108   \n",
       "12335     Colorado Avalanche        St. Louis Blues  -4.84  1.067996   \n",
       "12336                Coyotes          Anaheim Ducks   0.85 -0.599201   \n",
       "12337         Calgary Flames   Vegas Golden Knights   1.45 -1.401478   \n",
       "12338        Edmonton Oilers      Vancouver Canucks   2.79 -0.349300   \n",
       "12339      Los Angeles Kings           Dallas Stars  -1.42  0.278695   \n",
       "12340        San Jose Sharks         Minnesota Wild   4.54 -0.885210   \n",
       "\n",
       "           CSv%    FF%      FSh%      FSv%          ...            Prediction  \\\n",
       "11255 -0.690236  -0.26 -1.321017 -0.902049          ...                     1   \n",
       "11256 -0.441613  -2.09 -1.575384 -0.341264          ...                     0   \n",
       "11257  0.092414   1.01  2.044135 -0.612546          ...                     1   \n",
       "11258  1.686500  -0.19  1.966037  2.210855          ...                     1   \n",
       "11259 -1.736500  -4.64  1.668242 -2.145501          ...                     0   \n",
       "11260  1.266298  -0.79  0.257881  1.725119          ...                     1   \n",
       "11261  1.702287  -6.66  2.698675  2.354117          ...                     1   \n",
       "11262  0.248114  -8.68  1.990895  0.438289          ...                     0   \n",
       "11263  0.112443  -6.16  1.828895  0.231109          ...                     1   \n",
       "11264  1.662550  -1.97 -1.028084  2.492625          ...                     1   \n",
       "11265 -1.068604  -0.05  0.011897 -1.381632          ...                     0   \n",
       "11266  2.496006  -0.12 -1.452670  3.206645          ...                     0   \n",
       "11267 -1.202827   8.89 -4.417537 -2.053484          ...                     1   \n",
       "11268  0.606618  -3.98  1.186849  0.897025          ...                     1   \n",
       "11269 -0.074186   0.20  0.243393 -0.406761          ...                     1   \n",
       "11270  0.370005   4.00 -0.778479  0.263819          ...                     1   \n",
       "11271  0.022553  -2.99  1.603570  0.136689          ...                     1   \n",
       "11272 -0.674392  -1.86  1.000000 -0.822470          ...                     1   \n",
       "11273  0.220859   5.58 -0.893793 -0.213455          ...                     1   \n",
       "11274  2.207287   0.51 -1.442934  2.543092          ...                     1   \n",
       "11275  2.499954 -10.24  3.458830  3.379963          ...                     1   \n",
       "11276  1.014005   3.11 -0.058545  1.008008          ...                     1   \n",
       "11277 -0.813084   0.15  1.108328 -1.167134          ...                     1   \n",
       "11278 -1.689846  -5.32  0.534004 -2.167614          ...                     0   \n",
       "11279  1.455253   0.47  0.299292  2.286731          ...                     1   \n",
       "11280  1.785846  -1.35  1.410535  2.522526          ...                     1   \n",
       "11281  0.551084   6.10 -0.238062  0.172335          ...                     1   \n",
       "11282 -0.615481   8.14 -1.201258 -1.638301          ...                     1   \n",
       "11283 -0.457458   4.25  0.385695 -0.865822          ...                     1   \n",
       "11284  3.246068  -7.45  1.710062  4.511779          ...                     1   \n",
       "...         ...    ...       ...       ...          ...                   ...   \n",
       "12311 -0.598501  -0.22  0.839328 -0.807838          ...                     1   \n",
       "12312  0.747327  -3.26  1.137824  0.719856          ...                     1   \n",
       "12313 -0.481172  -3.72  0.550850 -0.573392          ...                     0   \n",
       "12314  0.651480  -0.02 -0.869307  0.839436          ...                     1   \n",
       "12315 -0.193005  -0.76  0.424966 -0.026469          ...                     1   \n",
       "12316 -0.201270  -2.23 -0.907804 -0.181972          ...                     0   \n",
       "12317  0.720459  -2.40  2.171508  0.763089          ...                     1   \n",
       "12318 -0.761300  -0.07 -1.179930 -1.136246          ...                     1   \n",
       "12319 -0.445088   0.30  0.536744 -0.626293          ...                     1   \n",
       "12320  0.488064   1.52 -0.699399  0.745013          ...                     1   \n",
       "12321  0.046145   5.38 -1.188533 -0.166286          ...                     1   \n",
       "12322  0.090719   4.47  0.663833  0.215817          ...                     1   \n",
       "12323  0.803161   2.78  2.014580  0.946230          ...                     1   \n",
       "12324 -0.386672  -1.82  0.093266 -0.216527          ...                     1   \n",
       "12325  0.585604  -3.44  0.008610  1.044635          ...                     1   \n",
       "12326 -0.024689   4.02  0.216305 -0.243279          ...                     1   \n",
       "12327  0.812363   4.59  0.828493  1.255941          ...                     1   \n",
       "12328  0.488001  -0.85  1.551522  1.047551          ...                     1   \n",
       "12329  0.299552   2.39 -1.436568  0.368034          ...                     1   \n",
       "12330  0.871174   2.06  0.578072  1.067943          ...                     1   \n",
       "12331  0.143243  -2.07  0.717401  0.175727          ...                     1   \n",
       "12332 -0.894270   2.83 -1.997768 -1.117389          ...                     1   \n",
       "12333  0.784104  -0.73  1.351599  0.974617          ...                     1   \n",
       "12334  0.515159  -1.42  0.805334  0.748620          ...                     1   \n",
       "12335  0.148075  -6.09  1.543005  0.427952          ...                     0   \n",
       "12336 -0.809415  -0.45 -0.538754 -1.009587          ...                     0   \n",
       "12337 -0.501375   0.98 -1.910827 -0.502267          ...                     1   \n",
       "12338 -0.013203   3.49 -0.451989 -0.233029          ...                     1   \n",
       "12339  0.623486  -1.54  0.203981  1.032315          ...                     1   \n",
       "12340  0.067829   4.15 -0.866669 -0.089346          ...                     1   \n",
       "\n",
       "       VegasPrediction  HomePayout  AwayPayout  BetEvenOutcome  \\\n",
       "11255                1    0.507614    1.770000             100   \n",
       "11256                1    0.751880    1.200000            -100   \n",
       "11257                1    0.694444    1.300000             100   \n",
       "11258                1    0.602410    1.500000            -100   \n",
       "11259                0    0.980392    0.925926             100   \n",
       "11260                1    0.540541    1.660000            -100   \n",
       "11261                1    0.854701    1.060000             100   \n",
       "11262                1    0.934579    0.970874            -100   \n",
       "11263                0    1.110000    0.813008             100   \n",
       "11264                1    0.694444    1.300000             100   \n",
       "11265                1    0.854701    1.060000             100   \n",
       "11266                1    0.724638    1.250000            -100   \n",
       "11267                1    0.518135    1.730000             100   \n",
       "11268                0    1.000000    0.909091            -100   \n",
       "11269                1    0.492611    1.820000            -100   \n",
       "11270                1    0.862069    1.050000            -100   \n",
       "11271                1    0.806452    1.120000             100   \n",
       "11272                1    0.854701    1.060000            -100   \n",
       "11273                1    0.581395    1.550000            -100   \n",
       "11274                1    0.884956    1.020000             100   \n",
       "11275                1    0.840336    1.080000            -100   \n",
       "11276                1    0.591716    1.520000             100   \n",
       "11277                1    0.813008    1.110000            -100   \n",
       "11278                0    1.320000    0.684932            -100   \n",
       "11279                0    1.110000    0.813008             100   \n",
       "11280                1    0.680272    1.330000            -100   \n",
       "11281                1    0.574713    1.570000             100   \n",
       "11282                1    0.500000    1.800000            -100   \n",
       "11283                1    0.476190    1.880000             100   \n",
       "11284                1    0.740741    1.220000            -100   \n",
       "...                ...         ...         ...             ...   \n",
       "12311                1    0.719424    1.260000             100   \n",
       "12312                1    0.578035    1.560000             100   \n",
       "12313                0    0.970874    0.934579             100   \n",
       "12314                1    0.909091    1.000000            -100   \n",
       "12315                1    0.684932    1.320000            -100   \n",
       "12316                0    1.130000    0.800000            -100   \n",
       "12317                1    0.444444    2.010000             100   \n",
       "12318                0    1.110000    0.813008             100   \n",
       "12319                1    0.917431    0.990099             100   \n",
       "12320                1    0.571429    1.580000             100   \n",
       "12321                1    0.588235    1.530000             100   \n",
       "12322                1    0.359712    2.460000             100   \n",
       "12323                1    0.299401    2.920000             100   \n",
       "12324                0    1.300000    0.694444            -100   \n",
       "12325                1    0.617284    1.460000             100   \n",
       "12326                1    0.357143    2.480000             100   \n",
       "12327                1    0.274725    3.170000             100   \n",
       "12328                1    0.434783    2.050000             100   \n",
       "12329                1    0.813008    1.110000            -100   \n",
       "12330                1    0.446429    2.000000             100   \n",
       "12331                1    0.558659    1.610000             100   \n",
       "12332                0    1.200000    0.751880             100   \n",
       "12333                1    0.400000    2.220000             100   \n",
       "12334                1    0.625000    1.440000             100   \n",
       "12335                1    0.680272    1.330000            -100   \n",
       "12336                0    1.200000    0.757576             100   \n",
       "12337                0    1.250000    0.724638             100   \n",
       "12338                1    0.529101    1.700000             100   \n",
       "12339                1    0.500000    1.800000            -100   \n",
       "12340                1    0.581395    1.550000            -100   \n",
       "\n",
       "       BetWith100Outcome  BetFor100Outcome  BetFor100TotalInvestment  \\\n",
       "11255          50.761421        100.000000                197.000000   \n",
       "11256        -100.000000        -83.333333                 83.333333   \n",
       "11257          69.444444        100.000000                144.000000   \n",
       "11258        -100.000000       -166.000000                166.000000   \n",
       "11259          92.592593        100.000000                108.000000   \n",
       "11260        -100.000000       -185.000000                185.000000   \n",
       "11261          85.470085        100.000000                117.000000   \n",
       "11262        -100.000000       -103.000000                103.000000   \n",
       "11263         111.000000        100.000000                 90.090090   \n",
       "11264          69.444444        100.000000                144.000000   \n",
       "11265         106.000000        100.000000                 94.339623   \n",
       "11266        -100.000000        -80.000000                 80.000000   \n",
       "11267          51.813472        100.000000                193.000000   \n",
       "11268        -100.000000       -100.000000                100.000000   \n",
       "11269        -100.000000       -203.000000                203.000000   \n",
       "11270        -100.000000       -116.000000                116.000000   \n",
       "11271          80.645161        100.000000                124.000000   \n",
       "11272        -100.000000       -117.000000                117.000000   \n",
       "11273        -100.000000       -172.000000                172.000000   \n",
       "11274          88.495575        100.000000                113.000000   \n",
       "11275        -100.000000       -119.000000                119.000000   \n",
       "11276          59.171598        100.000000                169.000000   \n",
       "11277        -100.000000       -123.000000                123.000000   \n",
       "11278        -100.000000       -146.000000                146.000000   \n",
       "11279         111.000000        100.000000                 90.090090   \n",
       "11280        -100.000000       -147.000000                147.000000   \n",
       "11281          57.471264        100.000000                174.000000   \n",
       "11282        -100.000000       -200.000000                200.000000   \n",
       "11283          47.619048        100.000000                210.000000   \n",
       "11284        -100.000000       -135.000000                135.000000   \n",
       "...                  ...               ...                       ...   \n",
       "12311          71.942446        100.000000                139.000000   \n",
       "12312          57.803468        100.000000                173.000000   \n",
       "12313          93.457944        100.000000                107.000000   \n",
       "12314        -100.000000       -110.000000                110.000000   \n",
       "12315        -100.000000       -146.000000                146.000000   \n",
       "12316        -100.000000       -125.000000                125.000000   \n",
       "12317          44.444444        100.000000                225.000000   \n",
       "12318         111.000000        100.000000                 90.090090   \n",
       "12319          91.743119        100.000000                109.000000   \n",
       "12320          57.142857        100.000000                175.000000   \n",
       "12321          58.823529        100.000000                170.000000   \n",
       "12322          35.971223        100.000000                278.000000   \n",
       "12323          29.940120        100.000000                334.000000   \n",
       "12324        -100.000000        -76.923077                 76.923077   \n",
       "12325          61.728395        100.000000                162.000000   \n",
       "12326          35.714286        100.000000                280.000000   \n",
       "12327          27.472527        100.000000                364.000000   \n",
       "12328          43.478261        100.000000                230.000000   \n",
       "12329        -100.000000       -123.000000                123.000000   \n",
       "12330          44.642857        100.000000                224.000000   \n",
       "12331          55.865922        100.000000                179.000000   \n",
       "12332         120.000000        100.000000                 83.333333   \n",
       "12333          40.000000        100.000000                250.000000   \n",
       "12334          62.500000        100.000000                160.000000   \n",
       "12335        -100.000000        -75.187970                 75.187970   \n",
       "12336          75.757576        100.000000                132.000000   \n",
       "12337         125.000000        100.000000                 80.000000   \n",
       "12338          52.910053        100.000000                189.000000   \n",
       "12339        -100.000000       -200.000000                200.000000   \n",
       "12340        -100.000000       -172.000000                172.000000   \n",
       "\n",
       "       VegasBetWith100Outcome  VegasBetFor100Outcome  \n",
       "11255               50.761421                  100.0  \n",
       "11256               75.187970                  100.0  \n",
       "11257               69.444444                  100.0  \n",
       "11258             -100.000000                 -166.0  \n",
       "11259               92.592593                  100.0  \n",
       "11260             -100.000000                 -185.0  \n",
       "11261               85.470085                  100.0  \n",
       "11262               93.457944                  100.0  \n",
       "11263             -100.000000                 -123.0  \n",
       "11264               69.444444                  100.0  \n",
       "11265             -100.000000                 -117.0  \n",
       "11266               72.463768                  100.0  \n",
       "11267               51.813472                  100.0  \n",
       "11268               90.909091                  100.0  \n",
       "11269             -100.000000                 -203.0  \n",
       "11270             -100.000000                 -116.0  \n",
       "11271               80.645161                  100.0  \n",
       "11272             -100.000000                 -117.0  \n",
       "11273             -100.000000                 -172.0  \n",
       "11274               88.495575                  100.0  \n",
       "11275             -100.000000                 -119.0  \n",
       "11276               59.171598                  100.0  \n",
       "11277             -100.000000                 -123.0  \n",
       "11278             -100.000000                 -146.0  \n",
       "11279             -100.000000                 -123.0  \n",
       "11280             -100.000000                 -147.0  \n",
       "11281               57.471264                  100.0  \n",
       "11282             -100.000000                 -200.0  \n",
       "11283               47.619048                  100.0  \n",
       "11284             -100.000000                 -135.0  \n",
       "...                       ...                    ...  \n",
       "12311               71.942446                  100.0  \n",
       "12312               57.803468                  100.0  \n",
       "12313               93.457944                  100.0  \n",
       "12314             -100.000000                 -110.0  \n",
       "12315             -100.000000                 -146.0  \n",
       "12316             -100.000000                 -125.0  \n",
       "12317               44.444444                  100.0  \n",
       "12318             -100.000000                 -123.0  \n",
       "12319               91.743119                  100.0  \n",
       "12320               57.142857                  100.0  \n",
       "12321               58.823529                  100.0  \n",
       "12322               35.971223                  100.0  \n",
       "12323               29.940120                  100.0  \n",
       "12324               69.444444                  100.0  \n",
       "12325               61.728395                  100.0  \n",
       "12326               35.714286                  100.0  \n",
       "12327               27.472527                  100.0  \n",
       "12328               43.478261                  100.0  \n",
       "12329             -100.000000                 -123.0  \n",
       "12330               44.642857                  100.0  \n",
       "12331               55.865922                  100.0  \n",
       "12332             -100.000000                 -133.0  \n",
       "12333               40.000000                  100.0  \n",
       "12334               62.500000                  100.0  \n",
       "12335               68.027211                  100.0  \n",
       "12336               75.757576                  100.0  \n",
       "12337             -100.000000                 -138.0  \n",
       "12338               52.910053                  100.0  \n",
       "12339             -100.000000                 -200.0  \n",
       "12340             -100.000000                 -172.0  \n",
       "\n",
       "[1086 rows x 34 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "oddsFrame = pd.read_csv(r'/Users/Milton/Developer/Hockey/Article Testing Sandbox/Odds 2007-2018 Raw.csv')\n",
    "\n",
    "def findPayout(date, homeTeam, awayTeam):\n",
    "    for index, row in oddsFrame.iterrows():\n",
    "        if date == row['Date'] and row['HomeTeam'] in homeTeam and row['AwayTeam'] in awayTeam:\n",
    "            return row['HomeOdds'], row['AwayOdds']\n",
    "    print('Could not find')\n",
    "    print(date)\n",
    "    print(homeTeam)\n",
    "    print(awayTeam)\n",
    "\n",
    "def calculateBetWith100Outcome(prediction, result, homePayout, awayPayout):\n",
    "    if result == 1 and prediction == 1:\n",
    "        # Predicted home win correctly\n",
    "        return homePayout * 100\n",
    "    elif result == 0 and prediction == 0:\n",
    "        # Predicted lose correctly\n",
    "        return awayPayout * 100\n",
    "    else:\n",
    "        # Predicted wrong\n",
    "        return  -100\n",
    "    \n",
    "def calculateBetFor100TotalInvestment(prediction, result, homePayout, awayPayout):\n",
    "    if prediction == 1:\n",
    "        # Predicted correctly\n",
    "        return abs(100 / homePayout)\n",
    "    elif prediction == 0:\n",
    "        return abs(100 / awayPayout)\n",
    "    \n",
    "def calculateBetFor100Outcome(prediction, result, homePayout, awayPayout):\n",
    "    if result == prediction:\n",
    "        # Predicted correctly\n",
    "        return 100\n",
    "    elif prediction == 0:\n",
    "        # Predicted lose incorrectly\n",
    "        return -100 / awayPayout\n",
    "    elif prediction == 1:\n",
    "        # Predicted win incorrectly\n",
    "        return  -100 / homePayout\n",
    "    \n",
    "def calculateBetEvenOutcome(prediction, result, homePayout, awayPayout):\n",
    "    if result == prediction:\n",
    "    # Predicted home win correctly\n",
    "        return 100\n",
    "    else:\n",
    "    # Predicted wrong\n",
    "        return  -100\n",
    "    \n",
    "def addOdds(row):\n",
    "    homePayout, awayPayout = findPayout(row['Date'], row['HomeTeam'], row['AwayTeam'])\n",
    "    vegasPrediction = None\n",
    "    if homePayout < awayPayout:\n",
    "        vegasPrediction = 1\n",
    "    elif homePayout > awayPayout:\n",
    "        vegasPrediction = 0\n",
    "    else:\n",
    "        vegasPrediction = randint(0, 1)\n",
    "    row['VegasPrediction'] = vegasPrediction\n",
    "    row['HomePayout'] = homePayout\n",
    "    row['AwayPayout'] = awayPayout\n",
    "    \n",
    "    row['BetEvenOutcome'] = calculateBetEvenOutcome(row['Prediction'], row['Result'], homePayout, awayPayout)\n",
    "    \n",
    "    row['BetWith100Outcome'] = calculateBetWith100Outcome(row['Prediction'], row['Result'], homePayout, awayPayout)\n",
    "    row['BetFor100Outcome'] = calculateBetFor100Outcome(row['Prediction'], row['Result'], homePayout, awayPayout)\n",
    "    row['BetFor100TotalInvestment'] = calculateBetFor100TotalInvestment(row['Prediction'], row['Result'], homePayout, awayPayout)\n",
    "    row['VegasBetWith100Outcome'] = calculateBetWith100Outcome(row['VegasPrediction'], row['Result'], homePayout, awayPayout)\n",
    "    row['VegasBetFor100Outcome'] = calculateBetFor100Outcome(row['VegasPrediction'], row['Result'], homePayout, awayPayout)\n",
    "    return row\n",
    "    \n",
    "newGamesFrame = newGamesFrame.progress_apply(addOdds, axis=1)\n",
    "\n",
    "display(newGamesFrame)\n",
    "newGamesFrame.to_csv('Favorites 2017-2018 Bet Results.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of times it bets on underdogs: 170\n",
      "Vegas number of times it bets on underdogs and is right: 76\n",
      "Total money: $ 10.00\n"
     ]
    }
   ],
   "source": [
    "#display(newGamesFrame)#[['Prediction', 'Result', 'HomePayout', 'AwayPayout', 'BetFor100Outcome', 'BetFor100TotalInvestment']]\n",
    "print(\"Number of times it bets on underdogs: %d\" % (newGamesFrame.loc[(newGamesFrame['Prediction'] != newGamesFrame['VegasPrediction'])].shape[0]))\n",
    "print(\"Number of times it bets on underdogs and is right: %d\" % (newGamesFrame.loc[(newGamesFrame['Prediction'] != newGamesFrame['VegasPrediction']) & (newGamesFrame['Prediction'] == newGamesFrame['Result'])].shape[0]))\n",
    "print(\"Total money: $%6.2f\" % ((newGamesFrame.loc[(newGamesFrame['Prediction'] != newGamesFrame['VegasPrediction'])]['VegasBetFor100Outcome'].sum())))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If I bet to make $100 per game (1086 games), I would make $2605.10 on $160037.18 (ROI:   1.63%)\n",
      "Vegas If I bet to make $100 per game (1086 games), I would make $3394.00 on $108600.00\n",
      "If I bet $100 to make $100 per game (1086 games), I would make $20000.00 on $108600.00\n"
     ]
    }
   ],
   "source": [
    "print(\"If I bet to make $100 per game (%d games), I would make $%6.2f on $%6.2f (ROI: %6.2f%%)\" % (newGamesFrame.shape[0], newGamesFrame['BetFor100Outcome'].sum(), newGamesFrame['BetFor100TotalInvestment'].sum(), (newGamesFrame['BetFor100Outcome'].sum() / newGamesFrame['BetFor100TotalInvestment'].sum() * 100)))\n",
    "print(\"Vegas If I bet to make $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (newGamesFrame.shape[0], newGamesFrame['VegasBetFor100Outcome'].sum(), newGamesFrame.shape[0] * 100))\n",
    "print(\"If I bet $100 to make $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (newGamesFrame.shape[0], newGamesFrame['BetEvenOutcome'].sum(), newGamesFrame.shape[0] * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Games where Vegas states there is an equal chance of either team winning\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>HomeTeam</th>\n",
       "      <th>AwayTeam</th>\n",
       "      <th>CF%</th>\n",
       "      <th>CSh%</th>\n",
       "      <th>CSv%</th>\n",
       "      <th>FF%</th>\n",
       "      <th>FSh%</th>\n",
       "      <th>FSv%</th>\n",
       "      <th>...</th>\n",
       "      <th>Prediction</th>\n",
       "      <th>VegasPrediction</th>\n",
       "      <th>HomePayout</th>\n",
       "      <th>AwayPayout</th>\n",
       "      <th>BetEvenOutcome</th>\n",
       "      <th>BetWith100Outcome</th>\n",
       "      <th>BetFor100Outcome</th>\n",
       "      <th>BetFor100TotalInvestment</th>\n",
       "      <th>VegasBetWith100Outcome</th>\n",
       "      <th>VegasBetFor100Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11377</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020308</td>\n",
       "      <td>2017/11/19</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>0.863397</td>\n",
       "      <td>-1.314822</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>1.366283</td>\n",
       "      <td>-1.954767</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>100</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11439</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020370</td>\n",
       "      <td>2017/11/28</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>-1.94</td>\n",
       "      <td>0.652408</td>\n",
       "      <td>-1.257872</td>\n",
       "      <td>-2.92</td>\n",
       "      <td>0.765286</td>\n",
       "      <td>-1.366857</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11446</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020377</td>\n",
       "      <td>2017/11/29</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>-1.46</td>\n",
       "      <td>-1.248257</td>\n",
       "      <td>-0.749400</td>\n",
       "      <td>-1.39</td>\n",
       "      <td>-1.576881</td>\n",
       "      <td>-1.062136</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11459</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020390</td>\n",
       "      <td>2017/12/01</td>\n",
       "      <td>New York Rangers</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>-5.69</td>\n",
       "      <td>1.424650</td>\n",
       "      <td>0.084943</td>\n",
       "      <td>-4.38</td>\n",
       "      <td>1.604275</td>\n",
       "      <td>0.075353</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>100</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11464</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020395</td>\n",
       "      <td>2017/12/01</td>\n",
       "      <td>Colorado Avalanche</td>\n",
       "      <td>New Jersey Devils</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.154797</td>\n",
       "      <td>-0.381971</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.543445</td>\n",
       "      <td>-0.578637</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11465</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020396</td>\n",
       "      <td>2017/12/02</td>\n",
       "      <td>Philadelphia Flyers</td>\n",
       "      <td>Boston Bruins</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.059444</td>\n",
       "      <td>-0.073572</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.194835</td>\n",
       "      <td>-0.177345</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11626</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020557</td>\n",
       "      <td>2017/12/23</td>\n",
       "      <td>San Jose Sharks</td>\n",
       "      <td>Los Angeles Kings</td>\n",
       "      <td>3.56</td>\n",
       "      <td>-0.787682</td>\n",
       "      <td>-0.539650</td>\n",
       "      <td>3.92</td>\n",
       "      <td>-0.834089</td>\n",
       "      <td>-1.007476</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>100</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11724</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020655</td>\n",
       "      <td>2018/01/09</td>\n",
       "      <td>Ottawa Senators</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>-3.97</td>\n",
       "      <td>0.128502</td>\n",
       "      <td>-0.817276</td>\n",
       "      <td>-1.64</td>\n",
       "      <td>-0.115628</td>\n",
       "      <td>-1.423202</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>100</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11774</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020705</td>\n",
       "      <td>2018/01/19</td>\n",
       "      <td>Florida Panthers</td>\n",
       "      <td>Vegas Golden Knights</td>\n",
       "      <td>-1.91</td>\n",
       "      <td>-0.783326</td>\n",
       "      <td>-0.677722</td>\n",
       "      <td>-2.10</td>\n",
       "      <td>-1.329171</td>\n",
       "      <td>-0.554516</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11853</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017020784</td>\n",
       "      <td>2018/02/01</td>\n",
       "      <td>Calgary Flames</td>\n",
       "      <td>Tampa Bay Lightning</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-1.372582</td>\n",
       "      <td>-0.108936</td>\n",
       "      <td>-1.01</td>\n",
       "      <td>-1.751073</td>\n",
       "      <td>0.012763</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>100</td>\n",
       "      <td>95.238095</td>\n",
       "      <td>100.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12109</th>\n",
       "      <td>https://www.nhl.com/gamecenter/2017021040</td>\n",
       "      <td>2018/03/08</td>\n",
       "      <td>Chicago Blackhawks</td>\n",
       "      <td>Carolina Hurricanes</td>\n",
       "      <td>-1.19</td>\n",
       "      <td>0.212707</td>\n",
       "      <td>0.555066</td>\n",
       "      <td>-2.51</td>\n",
       "      <td>0.613664</td>\n",
       "      <td>0.706349</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>-100</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-105.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              ID        Date  \\\n",
       "11377  https://www.nhl.com/gamecenter/2017020308  2017/11/19   \n",
       "11439  https://www.nhl.com/gamecenter/2017020370  2017/11/28   \n",
       "11446  https://www.nhl.com/gamecenter/2017020377  2017/11/29   \n",
       "11459  https://www.nhl.com/gamecenter/2017020390  2017/12/01   \n",
       "11464  https://www.nhl.com/gamecenter/2017020395  2017/12/01   \n",
       "11465  https://www.nhl.com/gamecenter/2017020396  2017/12/02   \n",
       "11626  https://www.nhl.com/gamecenter/2017020557  2017/12/23   \n",
       "11724  https://www.nhl.com/gamecenter/2017020655  2018/01/09   \n",
       "11774  https://www.nhl.com/gamecenter/2017020705  2018/01/19   \n",
       "11853  https://www.nhl.com/gamecenter/2017020784  2018/02/01   \n",
       "12109  https://www.nhl.com/gamecenter/2017021040  2018/03/08   \n",
       "\n",
       "                   HomeTeam              AwayTeam   CF%      CSh%      CSv%  \\\n",
       "11377  Vegas Golden Knights     Los Angeles Kings -0.30  0.863397 -1.314822   \n",
       "11439   Philadelphia Flyers       San Jose Sharks -1.94  0.652408 -1.257872   \n",
       "11446         Boston Bruins   Tampa Bay Lightning -1.46 -1.248257 -0.749400   \n",
       "11459      New York Rangers   Carolina Hurricanes -5.69  1.424650  0.084943   \n",
       "11464    Colorado Avalanche     New Jersey Devils  0.93  0.154797 -0.381971   \n",
       "11465   Philadelphia Flyers         Boston Bruins -0.08  0.059444 -0.073572   \n",
       "11626       San Jose Sharks     Los Angeles Kings  3.56 -0.787682 -0.539650   \n",
       "11724       Ottawa Senators    Chicago Blackhawks -3.97  0.128502 -0.817276   \n",
       "11774      Florida Panthers  Vegas Golden Knights -1.91 -0.783326 -0.677722   \n",
       "11853        Calgary Flames   Tampa Bay Lightning  0.03 -1.372582 -0.108936   \n",
       "12109    Chicago Blackhawks   Carolina Hurricanes -1.19  0.212707  0.555066   \n",
       "\n",
       "        FF%      FSh%      FSv%          ...            Prediction  \\\n",
       "11377 -0.22  1.366283 -1.954767          ...                     1   \n",
       "11439 -2.92  0.765286 -1.366857          ...                     1   \n",
       "11446 -1.39 -1.576881 -1.062136          ...                     0   \n",
       "11459 -4.38  1.604275  0.075353          ...                     1   \n",
       "11464  0.12  0.543445 -0.578637          ...                     1   \n",
       "11465 -0.25  0.194835 -0.177345          ...                     1   \n",
       "11626  3.92 -0.834089 -1.007476          ...                     1   \n",
       "11724 -1.64 -0.115628 -1.423202          ...                     0   \n",
       "11774 -2.10 -1.329171 -0.554516          ...                     0   \n",
       "11853 -1.01 -1.751073  0.012763          ...                     0   \n",
       "12109 -2.51  0.613664  0.706349          ...                     1   \n",
       "\n",
       "       VegasPrediction  HomePayout  AwayPayout  BetEvenOutcome  \\\n",
       "11377                1    0.952381    0.952381             100   \n",
       "11439                0    0.952381    0.952381            -100   \n",
       "11446                0    0.952381    0.952381            -100   \n",
       "11459                1    0.952381    0.952381             100   \n",
       "11464                1    0.952381    0.952381            -100   \n",
       "11465                0    0.952381    0.952381            -100   \n",
       "11626                1    0.952381    0.952381             100   \n",
       "11724                1    0.952381    0.952381             100   \n",
       "11774                1    0.952381    0.952381            -100   \n",
       "11853                1    0.952381    0.952381             100   \n",
       "12109                1    0.952381    0.952381            -100   \n",
       "\n",
       "       BetWith100Outcome  BetFor100Outcome  BetFor100TotalInvestment  \\\n",
       "11377          95.238095             100.0                     105.0   \n",
       "11439        -100.000000            -105.0                     105.0   \n",
       "11446        -100.000000            -105.0                     105.0   \n",
       "11459          95.238095             100.0                     105.0   \n",
       "11464        -100.000000            -105.0                     105.0   \n",
       "11465        -100.000000            -105.0                     105.0   \n",
       "11626          95.238095             100.0                     105.0   \n",
       "11724          95.238095             100.0                     105.0   \n",
       "11774        -100.000000            -105.0                     105.0   \n",
       "11853          95.238095             100.0                     105.0   \n",
       "12109        -100.000000            -105.0                     105.0   \n",
       "\n",
       "       VegasBetWith100Outcome  VegasBetFor100Outcome  \n",
       "11377               95.238095                  100.0  \n",
       "11439               95.238095                  100.0  \n",
       "11446             -100.000000                 -105.0  \n",
       "11459               95.238095                  100.0  \n",
       "11464             -100.000000                 -105.0  \n",
       "11465               95.238095                  100.0  \n",
       "11626               95.238095                  100.0  \n",
       "11724             -100.000000                 -105.0  \n",
       "11774               95.238095                  100.0  \n",
       "11853             -100.000000                 -105.0  \n",
       "12109             -100.000000                 -105.0  \n",
       "\n",
       "[11 rows x 34 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Games where Vegas states there is an equal chance of either team winning')\n",
    "equalOddsGames = newGamesFrame.loc[newGamesFrame['HomePayout'] == newGamesFrame['AwayPayout']]\n",
    "display(equalOddsGames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "totalGames = newGamesFrame.shape[0]\n",
    "totalGamesWithFavorites = totalGames - equalOddsGames.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If I bet $100 per game (1086 games), I would make $1341.10 on $108600.00\n",
      "Classifier\n",
      "     F1 Score: 0.693426\n",
      "     Accuracy: 0.592081   (643 correct / 1086 games)\n"
     ]
    }
   ],
   "source": [
    "print(\"If I bet $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (newGamesFrame.shape[0], newGamesFrame['BetWith100Outcome'].sum(), totalGames * 100))\n",
    "print(\"Classifier\")\n",
    "print(\"     F1 Score: %6.6f\" % (f1_score(newy_all, predictions)))\n",
    "print(\"     Accuracy: %6.6f   (%d correct / %d games)\" % (sum(newy_all == predictions) / float(len(predictions)), sum(newy_all == predictions), len(predictions)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If I bet $100 per game (1086 games), I would make $1834.70 on $108600.00\n",
      "Vegas (Favorites)\n",
      "     F1 Score: 0.697806\n",
      "     Accuracy: 0.606814   (659 correct / 1086 games)\n"
     ]
    }
   ],
   "source": [
    "print(\"If I bet $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (newGamesFrame.shape[0], newGamesFrame['VegasBetWith100Outcome'].sum(), totalGames * 100))\n",
    "vegasPredictions = newGamesFrame[['VegasPrediction']].values.flatten()\n",
    "print(\"Vegas (Favorites)\")\n",
    "print(\"     F1 Score: %6.6f\" % (f1_score(newy_all, vegasPredictions)))\n",
    "print(\"     Accuracy: %6.6f   (%d correct / %d games)\" % (sum(newy_all == vegasPredictions) / float(len(vegasPredictions)), sum(newy_all == vegasPredictions), len(vegasPredictions)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "My model is able to identify the favourite team  85.02% of the time\n"
     ]
    }
   ],
   "source": [
    "samePrediction = newGamesFrame.loc[newGamesFrame['Prediction'] == newGamesFrame['VegasPrediction']].shape[0]\n",
    "print(\"My model is able to identify the favourite team %6.2f%% of the time\" % (samePrediction / totalGamesWithFavorites * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Assuming Vegas has a pretty good model\n",
      "     the underdogs win  39.72% of the time\n",
      "     the favorites win  61.30% of the time\n"
     ]
    }
   ],
   "source": [
    "print('Assuming Vegas has a pretty good model')\n",
    "print('     the underdogs win %6.2f%% of the time' % (sum(newy_all != vegasPredictions) / totalGamesWithFavorites * 100))\n",
    "print('     the favorites win %6.2f%% of the time' % (sum(newy_all == vegasPredictions) / totalGamesWithFavorites * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max ROI:  16.02%, Min ROI: -19.27%\n"
     ]
    }
   ],
   "source": [
    "header = ['Team', 'Earnings', 'Total Games', 'Total Investment', 'ROI', 'FavoriteWPercent', 'UnderdogWPercent']\n",
    "rows = []\n",
    "\n",
    "def teamPerformance(teamName):\n",
    "    team = newGamesFrame.loc[(newGamesFrame['HomeTeam'] == teamName) | (newGamesFrame['AwayTeam'] ==  teamName)]\n",
    "    totalGames = team.shape[0]\n",
    "    earnings = team['BetFor100Outcome'].sum()\n",
    "    unequalMatchups = team.loc[team['HomePayout'] != team['AwayPayout']].shape[0]\n",
    "    favoriteWins = team.loc[team['VegasPrediction'] == team['Result']].shape[0]\n",
    "#     print(\"If I bet $100 per game (%d games) on %s, I would make $%6.2f on $%6.2f, %6.2f%% ROI\" % (totalGames, teamName, earnings, totalGames * 100, (earnings / totalGames)))\n",
    "    return [teamName, earnings, totalGames, team['BetFor100TotalInvestment'].sum(), np.float64(earnings / team['BetFor100TotalInvestment'].sum() * 100), np.float64(favoriteWins / unequalMatchups), 1 - (np.float64(favoriteWins / unequalMatchups))]\n",
    "\n",
    "standings = pd.read_csv(r'/Users/Milton/Developer/Hockey/data/Standings NHL/2018-4-8.csv')\n",
    "standings.loc[standings['Team'] == 'Arizona Coyotes', 'Team'] = 'Coyotes'\n",
    "\n",
    "for team in standings[['Team']].values.flatten():\n",
    "    rows.append(teamPerformance(team))\n",
    "\n",
    "with open('Bets Team Performance.csv', 'w') as csvFile:\n",
    "    writer = csv.writer(csvFile)\n",
    "    writer.writerow(header)\n",
    "    writer.writerows(rows)\n",
    "    \n",
    "bets = pd.read_csv(r'/Users/Milton/Developer/Hockey/Article Testing Sandbox/Bets Team Performance.csv')\n",
    "print('Max ROI: %6.2f%%, Min ROI: %6.2f%%' % (bets['ROI'].max(), bets['ROI'].min()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "newGamesFrame = pd.read_csv(r'/Users/Milton/Developer/Hockey/Article Testing Sandbox/Favorites 2017-2018 Bet Results.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confidence Difference\n",
      "     max:   0.26\n",
      "     min:   0.00\n",
      "     median:   0.15\n",
      "     mean:   0.14\n",
      "Threshold:   0.00, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1064 games), I would make $2669.44 on $157567.08\n",
      "ROI:   1.69\n",
      "My model is able to identify the favourite team  84.68% of the time\n",
      "Threshold:   0.01, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1064 games), I would make $2669.44 on $157567.08\n",
      "ROI:   1.69\n",
      "My model is able to identify the favourite team  84.68% of the time\n",
      "Threshold:   0.02, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1031 games), I would make $2010.38 on $153944.38\n",
      "ROI:   1.31\n",
      "My model is able to identify the favourite team  85.45% of the time\n",
      "Threshold:   0.03, Accuracy:   0.60%\n",
      "If I bet to make $100 per game (1005 games), I would make $2918.76 on $150928.67\n",
      "ROI:   1.93\n",
      "My model is able to identify the favourite team  86.17% of the time\n",
      "Threshold:   0.04, Accuracy:   0.60%\n",
      "If I bet to make $100 per game (978 games), I would make $3129.73 on $147752.69\n",
      "ROI:   2.12\n",
      "My model is able to identify the favourite team  87.01% of the time\n",
      "Threshold:   0.05, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (943 games), I would make $3305.00 on $143700.45\n",
      "ROI:   2.30\n",
      "My model is able to identify the favourite team  88.23% of the time\n",
      "Threshold:   0.06, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (915 games), I would make $3555.52 on $140349.33\n",
      "ROI:   2.53\n",
      "My model is able to identify the favourite team  89.07% of the time\n",
      "Threshold:   0.07, Accuracy:   0.62%\n",
      "If I bet to make $100 per game (880 games), I would make $4214.99 on $136219.88\n",
      "ROI:   3.09\n",
      "My model is able to identify the favourite team  89.89% of the time\n",
      "Threshold:   0.08, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (850 games), I would make $2397.19 on $132716.25\n",
      "ROI:   1.81\n",
      "My model is able to identify the favourite team  90.71% of the time\n",
      "Threshold:   0.09, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (814 games), I would make $1935.56 on $128148.84\n",
      "ROI:   1.51\n",
      "My model is able to identify the favourite team  91.28% of the time\n",
      "Threshold:   0.10, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (784 games), I would make $1112.69 on $124278.33\n",
      "ROI:   0.90\n",
      "My model is able to identify the favourite team  91.96% of the time\n",
      "Threshold:   0.11, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (753 games), I would make $953.52 on $120410.20\n",
      "ROI:   0.79\n",
      "My model is able to identify the favourite team  92.96% of the time\n",
      "Threshold:   0.12, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (712 games), I would make $1002.78 on $114788.94\n",
      "ROI:   0.87\n",
      "My model is able to identify the favourite team  93.40% of the time\n",
      "Threshold:   0.13, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (677 games), I would make $786.20 on $110356.23\n",
      "ROI:   0.71\n",
      "My model is able to identify the favourite team  94.39% of the time\n",
      "Threshold:   0.14, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (623 games), I would make $-434.98 on $103056.60\n",
      "ROI:  -0.42\n",
      "My model is able to identify the favourite team  95.51% of the time\n",
      "Threshold:   0.15, Accuracy:   0.62%\n",
      "If I bet to make $100 per game (576 games), I would make $148.45 on $96216.17\n",
      "ROI:   0.15\n",
      "My model is able to identify the favourite team  95.66% of the time\n",
      "Threshold:   0.16, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (508 games), I would make $-1109.27 on $86581.89\n",
      "ROI:  -1.28\n",
      "My model is able to identify the favourite team  97.05% of the time\n",
      "Threshold:   0.17, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (429 games), I would make $-2168.93 on $74078.60\n",
      "ROI:  -2.93\n",
      "My model is able to identify the favourite team  97.20% of the time\n",
      "Threshold:   0.18, Accuracy:   0.62%\n",
      "If I bet to make $100 per game (331 games), I would make $-805.24 on $57672.86\n",
      "ROI:  -1.40\n",
      "My model is able to identify the favourite team  97.58% of the time\n",
      "Threshold:   0.19, Accuracy:   0.62%\n",
      "If I bet to make $100 per game (199 games), I would make $-583.00 on $35121.13\n",
      "ROI:  -1.66\n",
      "My model is able to identify the favourite team  97.49% of the time\n",
      "Threshold:   0.20, Accuracy:   0.61%\n",
      "If I bet to make $100 per game (89 games), I would make $-564.00 on $15139.09\n",
      "ROI:  -3.73\n",
      "My model is able to identify the favourite team  96.63% of the time\n",
      "Threshold:   0.21, Accuracy:   0.54%\n",
      "If I bet to make $100 per game (37 games), I would make $-699.00 on $5962.00\n",
      "ROI: -11.72\n",
      "My model is able to identify the favourite team  97.30% of the time\n",
      "Threshold:   0.22, Accuracy:   0.52%\n",
      "If I bet to make $100 per game (21 games), I would make $-369.00 on $3052.00\n",
      "ROI: -12.09\n",
      "My model is able to identify the favourite team  95.24% of the time\n",
      "Threshold:   0.23, Accuracy:   0.56%\n",
      "If I bet to make $100 per game (9 games), I would make $-55.00 on $1267.00\n",
      "ROI:  -4.34\n",
      "My model is able to identify the favourite team  88.89% of the time\n",
      "Threshold:   0.24, Accuracy:   0.50%\n",
      "If I bet to make $100 per game (2 games), I would make $-45.00 on $285.00\n",
      "ROI: -15.79\n",
      "My model is able to identify the favourite team 100.00% of the time\n",
      "Threshold:   0.25, Accuracy:   0.00%\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00\n",
      "My model is able to identify the favourite team 100.00% of the time\n",
      "Threshold:   0.26, Accuracy:   0.00%\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00\n",
      "My model is able to identify the favourite team 100.00% of the time\n"
     ]
    }
   ],
   "source": [
    "newGamesFrame['ConfidenceDifference'] = abs(newGamesFrame['0_Confidence'] - newGamesFrame['1_Confidence'])\n",
    "conMax = newGamesFrame['ConfidenceDifference'].max()\n",
    "conMedian = newGamesFrame['ConfidenceDifference'].median()\n",
    "conMin = newGamesFrame['ConfidenceDifference'].min()\n",
    "conMean = newGamesFrame['ConfidenceDifference'].mean()\n",
    "print('Confidence Difference')\n",
    "print('     max: %6.2f' % conMax)\n",
    "print('     min: %6.2f' % conMin)\n",
    "print('     median: %6.2f' % conMedian)\n",
    "print('     mean: %6.2f' % conMean)\n",
    "\n",
    "header = ['Confidence', 'ROI']\n",
    "rows = []\n",
    "\n",
    "def calculateAccuracy(threshold):\n",
    "    confidentFrame = newGamesFrame.loc[newGamesFrame['ConfidenceDifference'] > threshold]\n",
    "    correctGuesses = confidentFrame.loc[confidentFrame['Result'] == confidentFrame['Prediction']].shape[0]\n",
    "#     display(confidentFrame[['HomeTeam', 'AwayTeam', 'Prediction', 'VegasPrediction', 'Result', '0_Confidence', '1_Confidence', 'ConfidenceDifference']].sort_values('ConfidenceDifference'))\n",
    "    print('Threshold: %6.2f, Accuracy: %6.2f%%' % (threshold, (correctGuesses / confidentFrame.shape[0])))\n",
    "    print(\"If I bet to make $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (confidentFrame.shape[0], confidentFrame['BetFor100Outcome'].sum(), confidentFrame['BetFor100TotalInvestment'].sum()))\n",
    "    print(\"ROI: %6.2f\" % (confidentFrame['BetFor100Outcome'].sum() / confidentFrame['BetFor100TotalInvestment'].sum() * 100))\n",
    "    \n",
    "    samePrediction = confidentFrame.loc[confidentFrame['Prediction'] == confidentFrame['VegasPrediction']].shape[0]\n",
    "    print(\"My model is able to identify the favourite team %6.2f%% of the time\" % (samePrediction / confidentFrame.shape[0] * 100))\n",
    "    return [threshold, (confidentFrame['BetFor100Outcome'].sum() / confidentFrame['BetFor100TotalInvestment'].sum() * 100)]\n",
    "\n",
    "for i in [x / 100 for x in range(0, 27)]:\n",
    "    rows.append(calculateAccuracy(i))\n",
    "    \n",
    "with open('Confidence Performance.csv', 'w') as csvFile:\n",
    "    writer = csv.writer(csvFile)\n",
    "    writer.writerow(header)\n",
    "    writer.writerows(rows)\n",
    "\n",
    "# calculateAccuracy(0.20)\n",
    "\n",
    "# print(\"If I bet to make $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (confidentFrame.shape[0], confidentFrame['BetFor100Outcome'].sum(), totalGames * 100))\n",
    "# print(\"If I bet $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (confidentFrame.shape[0], confidentFrame['BetWith100Outcome'].sum(), totalGames * 100))\n",
    "# print(\"If Vegas bet to make $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (confidentFrame.shape[0], confidentFrame['VegasBetFor100Outcome'].sum(), totalGames * 100))\n",
    "# print(\"If I bet $100 to make $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (confidentFrame.shape[0], confidentFrame['BetEvenOutcome'].sum(), totalGames * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "header = ['Month', 'Accuracy', 'Earnings', 'Total Games', 'Total Investment', 'ROI', 'FavoriteWPercent', 'UnderdogWPercent']\n",
    "rows = []\n",
    "\n",
    "def monthPerformance(monthString):\n",
    "    date = \"/%s/\" % monthString\n",
    "    month = newGamesFrame.loc[newGamesFrame['Date'].str.contains(date)]\n",
    "    totalGames = month.shape[0]\n",
    "    earnings = month['BetFor100Outcome'].sum()\n",
    "    unequalMatchups = month.loc[month['HomePayout'] != month['AwayPayout']].shape[0]\n",
    "    favoriteWins = month.loc[month['VegasPrediction'] == month['Result']].shape[0]\n",
    "    accuracy = month.loc[month['Prediction'] == month['Result']].shape[0]\n",
    "#     print(\"If I bet $100 per game (%d games) on %s, I would make $%6.2f on $%6.2f, %6.2f%% ROI\" % (totalGames, teamName, earnings, totalGames * 100, (earnings / totalGames)))\n",
    "    return [monthString, np.float64(accuracy / totalGames), earnings, totalGames, month['BetFor100TotalInvestment'].sum(), np.float64(earnings / month['BetFor100TotalInvestment'].sum() * 100), np.float64(favoriteWins / unequalMatchups), 1 - (np.float64(favoriteWins / unequalMatchups))]\n",
    "\n",
    "months = ['11', '12', '01', '02', '03', '04']\n",
    "for i in months:\n",
    "    print(i)\n",
    "    rows.append(monthPerformance(i))\n",
    "\n",
    "with open('Bets Month Performance.csv', 'w') as csvFile:\n",
    "    writer = csv.writer(csvFile)\n",
    "    writer.writerow(header)\n",
    "    writer.writerows(rows)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Threshold:   0.25, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1086 games), I would make $2605.10 on $160037.18\n",
      "ROI:   1.63%\n",
      "Threshold:   0.26, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1085 games), I would make $2505.10 on $159840.18\n",
      "ROI:   1.57%\n",
      "Threshold:   0.27, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1081 games), I would make $2318.10 on $159230.18\n",
      "ROI:   1.46%\n",
      "Threshold:   0.28, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1075 games), I would make $2261.10 on $158266.71\n",
      "ROI:   1.43%\n",
      "Threshold:   0.29, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1071 games), I would make $2032.53 on $157769.28\n",
      "ROI:   1.29%\n",
      "Threshold:   0.30, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1056 games), I would make $2459.99 on $155503.49\n",
      "ROI:   1.58%\n",
      "Threshold:   0.31, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (1028 games), I would make $2260.99 on $151158.65\n",
      "ROI:   1.50%\n",
      "Threshold:   0.32, Accuracy:   0.60%\n",
      "If I bet to make $100 per game (932 games), I would make $3545.25 on $137488.91\n",
      "ROI:   2.58%\n",
      "Threshold:   0.33, Accuracy:   0.59%\n",
      "If I bet to make $100 per game (744 games), I would make $1269.00 on $109486.81\n",
      "ROI:   1.16%\n",
      "Threshold:   0.34, Accuracy:   0.60%\n",
      "If I bet to make $100 per game (477 games), I would make $1312.77 on $70997.19\n",
      "ROI:   1.85%\n",
      "Threshold:   0.35, Accuracy:   0.60%\n",
      "If I bet to make $100 per game (242 games), I would make $296.67 on $36273.70\n",
      "ROI:   0.82%\n",
      "Threshold:   0.36, Accuracy:   0.58%\n",
      "If I bet to make $100 per game (100 games), I would make $-416.77 on $14887.77\n",
      "ROI:  -2.80%\n",
      "Threshold:   0.37, Accuracy:   0.58%\n",
      "If I bet to make $100 per game (31 games), I would make $-206.57 on $5069.10\n",
      "ROI:  -4.08%\n"
     ]
    }
   ],
   "source": [
    "header = ['FavouritesW%', 'ROI']\n",
    "rows = []\n",
    "\n",
    "def selectFavorites(threshold):\n",
    "    favoriteFrame = newGamesFrame.loc[newGamesFrame['FavoritesW%'] > threshold]\n",
    "    correctGuesses = favoriteFrame.loc[favoriteFrame['Result'] == favoriteFrame['Prediction']].shape[0]\n",
    "    print('Threshold: %6.2f, Accuracy: %6.2f%%' % (threshold, (correctGuesses / favoriteFrame.shape[0])))\n",
    "    print(\"If I bet to make $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (favoriteFrame.shape[0], favoriteFrame['BetFor100Outcome'].sum(), favoriteFrame['BetFor100TotalInvestment'].sum()))\n",
    "    print('ROI: %6.2f%%' % (favoriteFrame['BetFor100Outcome'].sum() / favoriteFrame['BetFor100TotalInvestment'].sum() * 100))\n",
    "    return [threshold, (favoriteFrame['BetFor100Outcome'].sum() / favoriteFrame['BetFor100TotalInvestment'].sum() * 100)]\n",
    "\n",
    "for i in [x / 100 for x in range(25, 38, 1)]:\n",
    "    rows.append(selectFavorites(i))\n",
    "    \n",
    "with open('Favourites Performance.csv', 'w') as csvFile:\n",
    "    writer = csv.writer(csvFile)\n",
    "    writer.writerow(header)\n",
    "    writer.writerows(rows)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Favorites Threshold:   0.25, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (1064 games), I would make $2669.44 on $157567.08\n",
      "ROI:   1.69%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (1063 games), I would make $2569.44 on $157370.08\n",
      "ROI:   1.63%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (1059 games), I would make $2382.44 on $156760.08\n",
      "ROI:   1.52%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (1053 games), I would make $2325.44 on $155796.61\n",
      "ROI:   1.49%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (1049 games), I would make $2096.87 on $155299.18\n",
      "ROI:   1.35%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (1035 games), I would make $2424.33 on $153133.39\n",
      "ROI:   1.58%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (1007 games), I would make $2225.33 on $148788.55\n",
      "ROI:   1.50%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (911 games), I would make $3509.59 on $135118.81\n",
      "ROI:   2.60%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (728 games), I would make $953.90 on $107600.16\n",
      "ROI:   0.89%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (468 games), I would make $1027.51 on $69978.69\n",
      "ROI:   1.47%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (237 games), I would make $184.42 on $35750.19\n",
      "ROI:   0.52%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (99 games), I would make $-313.77 on $14784.77\n",
      "ROI:  -2.12%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (31 games), I would make $-206.57 on $5069.10\n",
      "ROI:  -4.08%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (5 games), I would make $-212.57 on $769.57\n",
      "ROI: -27.62%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.00\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (1064 games), I would make $2669.44 on $157567.08\n",
      "ROI:   1.69%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (1063 games), I would make $2569.44 on $157370.08\n",
      "ROI:   1.63%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (1059 games), I would make $2382.44 on $156760.08\n",
      "ROI:   1.52%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (1053 games), I would make $2325.44 on $155796.61\n",
      "ROI:   1.49%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (1049 games), I would make $2096.87 on $155299.18\n",
      "ROI:   1.35%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (1035 games), I would make $2424.33 on $153133.39\n",
      "ROI:   1.58%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (1007 games), I would make $2225.33 on $148788.55\n",
      "ROI:   1.50%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (911 games), I would make $3509.59 on $135118.81\n",
      "ROI:   2.60%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (728 games), I would make $953.90 on $107600.16\n",
      "ROI:   0.89%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (468 games), I would make $1027.51 on $69978.69\n",
      "ROI:   1.47%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (237 games), I would make $184.42 on $35750.19\n",
      "ROI:   0.52%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (99 games), I would make $-313.77 on $14784.77\n",
      "ROI:  -2.12%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (31 games), I would make $-206.57 on $5069.10\n",
      "ROI:  -4.08%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (5 games), I would make $-212.57 on $769.57\n",
      "ROI: -27.62%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.01\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (1031 games), I would make $2010.38 on $153944.38\n",
      "ROI:   1.31%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (1030 games), I would make $1910.38 on $153747.38\n",
      "ROI:   1.24%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (1027 games), I would make $1823.38 on $153254.38\n",
      "ROI:   1.19%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (1021 games), I would make $1766.38 on $152290.91\n",
      "ROI:   1.16%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (1017 games), I would make $1537.81 on $151793.48\n",
      "ROI:   1.01%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (1003 games), I would make $1865.27 on $149627.69\n",
      "ROI:   1.25%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (975 games), I would make $1666.27 on $145282.86\n",
      "ROI:   1.15%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (881 games), I would make $3150.53 on $131828.12\n",
      "ROI:   2.39%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (704 games), I would make $799.51 on $105037.39\n",
      "ROI:   0.76%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (453 games), I would make $744.65 on $68388.89\n",
      "ROI:   1.09%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (229 games), I would make $ -7.63 on $34894.05\n",
      "ROI:  -0.02%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (97 games), I would make $-513.77 on $14549.77\n",
      "ROI:  -3.53%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (31 games), I would make $-206.57 on $5069.10\n",
      "ROI:  -4.08%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (5 games), I would make $-212.57 on $769.57\n",
      "ROI: -27.62%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.02\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (1005 games), I would make $2918.76 on $150928.67\n",
      "ROI:   1.93%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (1004 games), I would make $2818.76 on $150731.67\n",
      "ROI:   1.87%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (1002 games), I would make $2831.76 on $150393.67\n",
      "ROI:   1.88%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (996 games), I would make $2774.76 on $149430.20\n",
      "ROI:   1.86%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (992 games), I would make $2546.19 on $148932.77\n",
      "ROI:   1.71%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (979 games), I would make $2973.65 on $146843.31\n",
      "ROI:   2.03%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (951 games), I would make $2774.65 on $142498.48\n",
      "ROI:   1.95%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (860 games), I would make $3962.91 on $129339.74\n",
      "ROI:   3.06%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (686 games), I would make $1499.89 on $102910.01\n",
      "ROI:   1.46%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (440 games), I would make $877.56 on $66828.97\n",
      "ROI:   1.31%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (220 games), I would make $-87.47 on $33801.89\n",
      "ROI:  -0.26%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (95 games), I would make $-325.53 on $14361.53\n",
      "ROI:  -2.27%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.03"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/ipykernel_launcher.py:7: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  import sys\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "If I bet to make $100 per game (31 games), I would make $-206.57 on $5069.10\n",
      "ROI:  -4.08%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (5 games), I would make $-212.57 on $769.57\n",
      "ROI: -27.62%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.03\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (978 games), I would make $3129.73 on $147752.69\n",
      "ROI:   2.12%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (977 games), I would make $3029.73 on $147555.69\n",
      "ROI:   2.05%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (975 games), I would make $3042.73 on $147217.69\n",
      "ROI:   2.07%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (969 games), I would make $2985.73 on $146254.22\n",
      "ROI:   2.04%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (965 games), I would make $2757.16 on $145756.80\n",
      "ROI:   1.89%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (952 games), I would make $3184.62 on $143667.34\n",
      "ROI:   2.22%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (924 games), I would make $2985.62 on $139322.50\n",
      "ROI:   2.14%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (836 games), I would make $4270.88 on $126471.85\n",
      "ROI:   3.38%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (666 games), I would make $1773.86 on $100608.12\n",
      "ROI:   1.76%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (428 games), I would make $1319.28 on $65569.09\n",
      "ROI:   2.01%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (212 games), I would make $-106.04 on $33002.29\n",
      "ROI:  -0.32%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (92 games), I would make $-421.53 on $14073.10\n",
      "ROI:  -3.00%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (30 games), I would make $-102.57 on $4965.10\n",
      "ROI:  -2.07%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (5 games), I would make $-212.57 on $769.57\n",
      "ROI: -27.62%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.04\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (943 games), I would make $3305.00 on $143700.45\n",
      "ROI:   2.30%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (942 games), I would make $3205.00 on $143503.45\n",
      "ROI:   2.23%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (940 games), I would make $3218.00 on $143165.45\n",
      "ROI:   2.25%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (935 games), I would make $3261.00 on $142306.98\n",
      "ROI:   2.29%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (931 games), I would make $3032.43 on $141809.55\n",
      "ROI:   2.14%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (918 games), I would make $3459.89 on $139720.09\n",
      "ROI:   2.48%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (890 games), I would make $3260.89 on $135375.26\n",
      "ROI:   2.41%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (804 games), I would make $4310.42 on $122760.34\n",
      "ROI:   3.51%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (642 games), I would make $2005.85 on $97777.20\n",
      "ROI:   2.05%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (415 games), I would make $866.27 on $64051.16\n",
      "ROI:   1.35%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (205 games), I would make $-353.05 on $32188.54\n",
      "ROI:  -1.10%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (88 games), I would make $-368.54 on $13630.44\n",
      "ROI:  -2.70%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (29 games), I would make $-202.57 on $4842.10\n",
      "ROI:  -4.18%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (5 games), I would make $-212.57 on $769.57\n",
      "ROI: -27.62%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.05\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (915 games), I would make $3555.52 on $140349.33\n",
      "ROI:   2.53%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (914 games), I would make $3455.52 on $140152.33\n",
      "ROI:   2.47%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (912 games), I would make $3468.52 on $139814.33\n",
      "ROI:   2.48%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (907 games), I would make $3511.52 on $138955.86\n",
      "ROI:   2.53%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (903 games), I would make $3282.95 on $138458.43\n",
      "ROI:   2.37%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (890 games), I would make $3710.41 on $136368.97\n",
      "ROI:   2.72%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (863 games), I would make $3387.41 on $132148.14\n",
      "ROI:   2.56%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (781 games), I would make $3977.05 on $119993.10\n",
      "ROI:   3.31%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (621 games), I would make $1872.49 on $95189.97\n",
      "ROI:   1.97%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (398 games), I would make $946.70 on $62018.14\n",
      "ROI:   1.53%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (199 games), I would make $-510.05 on $31498.95\n",
      "ROI:  -1.62%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (88 games), I would make $-368.54 on $13630.44\n",
      "ROI:  -2.70%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (29 games), I would make $-202.57 on $4842.10\n",
      "ROI:  -4.18%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (5 games), I would make $-212.57 on $769.57\n",
      "ROI: -27.62%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.06\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (880 games), I would make $4214.99 on $136219.88\n",
      "ROI:   3.09%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (879 games), I would make $4114.99 on $136022.88\n",
      "ROI:   3.03%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (877 games), I would make $4127.99 on $135684.88\n",
      "ROI:   3.04%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (873 games), I would make $4270.99 on $134911.88\n",
      "ROI:   3.17%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (869 games), I would make $4042.41 on $134414.45\n",
      "ROI:   3.01%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (856 games), I would make $4469.87 on $132325.00\n",
      "ROI:   3.38%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (831 games), I would make $4141.87 on $128344.16\n",
      "ROI:   3.23%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (751 games), I would make $4718.52 on $116392.22\n",
      "ROI:   4.05%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (593 games), I would make $2813.95 on $91889.08\n",
      "ROI:   3.06%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (378 games), I would make $1328.07 on $59729.35\n",
      "ROI:   2.22%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (191 games), I would make $  8.99 on $30568.58\n",
      "ROI:   0.03%\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Favorites Threshold:   0.36, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (85 games), I would make $ 15.46 on $13246.44\n",
      "ROI:   0.12%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (28 games), I would make $-86.57 on $4726.10\n",
      "ROI:  -1.83%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (5 games), I would make $-212.57 on $769.57\n",
      "ROI: -27.62%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.07\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (850 games), I would make $2397.19 on $132716.25\n",
      "ROI:   1.81%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (850 games), I would make $2397.19 on $132716.25\n",
      "ROI:   1.81%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (848 games), I would make $2410.19 on $132378.25\n",
      "ROI:   1.82%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (844 games), I would make $2553.19 on $131605.25\n",
      "ROI:   1.94%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (840 games), I would make $2324.62 on $131107.82\n",
      "ROI:   1.77%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (828 games), I would make $2852.08 on $129141.36\n",
      "ROI:   2.21%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (805 games), I would make $2724.08 on $125367.12\n",
      "ROI:   2.17%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (728 games), I would make $3418.08 on $113768.82\n",
      "ROI:   3.00%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (576 games), I would make $1888.51 on $90039.89\n",
      "ROI:   2.10%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (368 games), I would make $729.64 on $58551.25\n",
      "ROI:   1.25%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (183 games), I would make $-389.44 on $29663.48\n",
      "ROI:  -1.31%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (80 games), I would make $-82.97 on $12719.35\n",
      "ROI:  -0.65%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (26 games), I would make $-119.00 on $4585.00\n",
      "ROI:  -2.60%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (4 games), I would make $-145.00 on $702.00\n",
      "ROI: -20.66%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.08\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (814 games), I would make $1935.56 on $128148.84\n",
      "ROI:   1.51%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (814 games), I would make $1935.56 on $128148.84\n",
      "ROI:   1.51%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (812 games), I would make $1948.56 on $127810.84\n",
      "ROI:   1.52%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (809 games), I would make $2191.56 on $127272.84\n",
      "ROI:   1.72%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (805 games), I would make $1962.99 on $126775.41\n",
      "ROI:   1.55%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (793 games), I would make $2490.45 on $124808.95\n",
      "ROI:   2.00%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (772 games), I would make $2562.45 on $121253.46\n",
      "ROI:   2.11%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (700 games), I would make $3286.45 on $110313.16\n",
      "ROI:   2.98%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (555 games), I would make $1811.84 on $87445.73\n",
      "ROI:   2.07%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (356 games), I would make $179.97 on $57117.09\n",
      "ROI:   0.32%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (176 games), I would make $-688.11 on $28866.43\n",
      "ROI:  -2.38%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (74 games), I would make $-281.64 on $11996.92\n",
      "ROI:  -2.35%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (26 games), I would make $-119.00 on $4585.00\n",
      "ROI:  -2.60%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (4 games), I would make $-145.00 on $702.00\n",
      "ROI: -20.66%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.09\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (784 games), I would make $1112.69 on $124278.33\n",
      "ROI:   0.90%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (784 games), I would make $1112.69 on $124278.33\n",
      "ROI:   0.90%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (782 games), I would make $1125.69 on $123940.33\n",
      "ROI:   0.91%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (779 games), I would make $1368.69 on $123402.33\n",
      "ROI:   1.11%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (775 games), I would make $1140.12 on $122904.90\n",
      "ROI:   0.93%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (763 games), I would make $1667.58 on $120938.44\n",
      "ROI:   1.38%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (743 games), I would make $1604.58 on $117517.95\n",
      "ROI:   1.37%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (673 games), I would make $2528.58 on $106832.65\n",
      "ROI:   2.37%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (532 games), I would make $1234.97 on $84427.22\n",
      "ROI:   1.46%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (338 games), I would make $-569.94 on $54665.81\n",
      "ROI:  -1.04%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (166 games), I would make $-1231.11 on $27393.24\n",
      "ROI:  -4.49%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (68 games), I would make $-881.64 on $11106.74\n",
      "ROI:  -7.94%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (22 games), I would make $-519.00 on $3900.00\n",
      "ROI: -13.31%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (4 games), I would make $-145.00 on $702.00\n",
      "ROI: -20.66%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.10\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (753 games), I would make $953.52 on $120410.20\n",
      "ROI:   0.79%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (753 games), I would make $953.52 on $120410.20\n",
      "ROI:   0.79%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (751 games), I would make $966.52 on $120072.20\n",
      "ROI:   0.80%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (748 games), I would make $1209.52 on $119534.20\n",
      "ROI:   1.01%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (744 games), I would make $980.95 on $119036.77\n",
      "ROI:   0.82%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (734 games), I would make $1231.41 on $117347.32\n",
      "ROI:   1.05%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (714 games), I would make $1168.41 on $113926.82\n",
      "ROI:   1.03%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (645 games), I would make $2192.41 on $103322.82\n",
      "ROI:   2.12%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (506 games), I would make $734.00 on $81082.19\n",
      "ROI:   0.91%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (322 games), I would make $-831.91 on $52597.78\n",
      "ROI:  -1.58%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (156 games), I would make $-1743.11 on $26059.24\n",
      "ROI:  -6.69%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (66 games), I would make $-1081.64 on $10841.74\n",
      "ROI:  -9.98%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (21 games), I would make $-619.00 on $3798.00\n",
      "ROI: -16.30%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (4 games), I would make $-145.00 on $702.00\n",
      "ROI: -20.66%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.11\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (712 games), I would make $1002.78 on $114788.94\n",
      "ROI:   0.87%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (712 games), I would make $1002.78 on $114788.94\n",
      "ROI:   0.87%\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Favorites Threshold:   0.27, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (711 games), I would make $1115.78 on $114675.94\n",
      "ROI:   0.97%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (708 games), I would make $1358.78 on $114137.94\n",
      "ROI:   1.19%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (705 games), I would make $1058.78 on $113711.94\n",
      "ROI:   0.93%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (696 games), I would make $1215.78 on $112115.94\n",
      "ROI:   1.08%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (677 games), I would make $1007.78 on $108840.44\n",
      "ROI:   0.93%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (614 games), I would make $2179.78 on $99096.44\n",
      "ROI:   2.20%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (481 games), I would make $600.38 on $77690.81\n",
      "ROI:   0.77%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (306 games), I would make $-764.53 on $50389.40\n",
      "ROI:  -1.52%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (148 games), I would make $-1837.77 on $24978.90\n",
      "ROI:  -7.36%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (64 games), I would make $-1029.64 on $10576.74\n",
      "ROI:  -9.73%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (21 games), I would make $-619.00 on $3798.00\n",
      "ROI: -16.30%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (4 games), I would make $-145.00 on $702.00\n",
      "ROI: -20.66%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.12\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (677 games), I would make $786.20 on $110356.23\n",
      "ROI:   0.71%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (677 games), I would make $786.20 on $110356.23\n",
      "ROI:   0.71%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (676 games), I would make $899.20 on $110243.23\n",
      "ROI:   0.82%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (673 games), I would make $1142.20 on $109705.23\n",
      "ROI:   1.04%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (670 games), I would make $842.20 on $109279.23\n",
      "ROI:   0.77%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (661 games), I would make $999.20 on $107683.23\n",
      "ROI:   0.93%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (643 games), I would make $891.20 on $104579.73\n",
      "ROI:   0.85%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (585 games), I would make $2363.20 on $95444.73\n",
      "ROI:   2.48%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (457 games), I would make $874.20 on $74666.69\n",
      "ROI:   1.17%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (294 games), I would make $-585.16 on $48782.88\n",
      "ROI:  -1.20%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (140 games), I would make $-1502.39 on $24048.39\n",
      "ROI:  -6.25%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (59 games), I would make $-1139.30 on $10091.26\n",
      "ROI: -11.29%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (20 games), I would make $-719.00 on $3675.00\n",
      "ROI: -19.56%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (4 games), I would make $-145.00 on $702.00\n",
      "ROI: -20.66%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.13\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (623 games), I would make $-434.98 on $103056.60\n",
      "ROI:  -0.42%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (623 games), I would make $-434.98 on $103056.60\n",
      "ROI:  -0.42%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (622 games), I would make $-321.98 on $102943.60\n",
      "ROI:  -0.31%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (619 games), I would make $-78.98 on $102405.60\n",
      "ROI:  -0.08%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (617 games), I would make $-278.98 on $102087.60\n",
      "ROI:  -0.27%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (609 games), I would make $-235.98 on $100605.60\n",
      "ROI:  -0.23%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (591 games), I would make $-343.98 on $97502.10\n",
      "ROI:  -0.35%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (537 games), I would make $1528.02 on $88925.10\n",
      "ROI:   1.72%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (422 games), I would make $-293.98 on $69942.06\n",
      "ROI:  -0.42%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (271 games), I would make $-1568.16 on $45464.24\n",
      "ROI:  -3.45%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (134 games), I would make $-1669.39 on $23106.39\n",
      "ROI:  -7.22%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (55 games), I would make $-1320.30 on $9410.26\n",
      "ROI: -14.03%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (18 games), I would make $-919.00 on $3287.00\n",
      "ROI: -27.96%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (3 games), I would make $-245.00 on $493.00\n",
      "ROI: -49.70%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.14\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (576 games), I would make $148.45 on $96216.17\n",
      "ROI:   0.15%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (576 games), I would make $148.45 on $96216.17\n",
      "ROI:   0.15%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (575 games), I would make $261.45 on $96103.17\n",
      "ROI:   0.27%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (572 games), I would make $504.45 on $95565.17\n",
      "ROI:   0.53%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (570 games), I would make $304.45 on $95247.17\n",
      "ROI:   0.32%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (562 games), I would make $347.45 on $93765.17\n",
      "ROI:   0.37%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (545 games), I would make $ 60.45 on $90840.67\n",
      "ROI:   0.07%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (494 games), I would make $2019.45 on $82663.67\n",
      "ROI:   2.44%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (390 games), I would make $339.45 on $65359.63\n",
      "ROI:   0.52%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (248 games), I would make $-1252.73 on $42135.81\n",
      "ROI:  -2.97%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (121 games), I would make $-1258.30 on $21182.30\n",
      "ROI:  -5.94%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (53 games), I would make $-972.30 on $9062.26\n",
      "ROI: -10.73%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (18 games), I would make $-919.00 on $3287.00\n",
      "ROI: -27.96%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (3 games), I would make $-245.00 on $493.00\n",
      "ROI: -49.70%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.15\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (508 games), I would make $-1109.27 on $86581.89\n",
      "ROI:  -1.28%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (508 games), I would make $-1109.27 on $86581.89\n",
      "ROI:  -1.28%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (507 games), I would make $-996.27 on $86468.89\n",
      "ROI:  -1.15%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (505 games), I would make $-653.27 on $86125.89\n",
      "ROI:  -0.76%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.16\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If I bet to make $100 per game (503 games), I would make $-853.27 on $85807.89\n",
      "ROI:  -0.99%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (495 games), I would make $-810.27 on $84325.89\n",
      "ROI:  -0.96%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (482 games), I would make $-920.27 on $81958.40\n",
      "ROI:  -1.12%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (439 games), I would make $840.73 on $75025.40\n",
      "ROI:   1.12%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (346 games), I would make $-181.27 on $59373.36\n",
      "ROI:  -0.31%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (217 games), I would make $-1036.34 on $37896.43\n",
      "ROI:  -2.73%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (111 games), I would make $-823.00 on $19789.00\n",
      "ROI:  -4.16%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (48 games), I would make $-801.00 on $8371.96\n",
      "ROI:  -9.57%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (15 games), I would make $-729.00 on $2782.00\n",
      "ROI: -26.20%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (2 games), I would make $-135.00 on $383.00\n",
      "ROI: -35.25%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.16\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (429 games), I would make $-2168.93 on $74078.60\n",
      "ROI:  -2.93%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (429 games), I would make $-2168.93 on $74078.60\n",
      "ROI:  -2.93%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (429 games), I would make $-2168.93 on $74078.60\n",
      "ROI:  -2.93%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (427 games), I would make $-1825.93 on $73735.60\n",
      "ROI:  -2.48%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (425 games), I would make $-2025.93 on $73417.60\n",
      "ROI:  -2.76%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (418 games), I would make $-2162.93 on $72115.60\n",
      "ROI:  -3.00%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (407 games), I would make $-2072.93 on $70188.10\n",
      "ROI:  -2.95%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (373 games), I would make $-693.93 on $64911.10\n",
      "ROI:  -1.07%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (294 games), I would make $-1523.93 on $51384.06\n",
      "ROI:  -2.97%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (185 games), I would make $-2583.00 on $33055.13\n",
      "ROI:  -7.81%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (92 games), I would make $-1766.00 on $16890.04\n",
      "ROI: -10.46%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (37 games), I would make $-1233.00 on $6878.00\n",
      "ROI: -17.93%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (11 games), I would make $-688.00 on $2236.00\n",
      "ROI: -30.77%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (1 games), I would make $-235.00 on $235.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.17\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (331 games), I would make $-805.24 on $57672.86\n",
      "ROI:  -1.40%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (331 games), I would make $-805.24 on $57672.86\n",
      "ROI:  -1.40%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (331 games), I would make $-805.24 on $57672.86\n",
      "ROI:  -1.40%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (330 games), I would make $-602.24 on $57469.86\n",
      "ROI:  -1.05%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (328 games), I would make $-802.24 on $57151.86\n",
      "ROI:  -1.40%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (323 games), I would make $-1039.24 on $56215.86\n",
      "ROI:  -1.85%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (314 games), I would make $-749.24 on $54697.37\n",
      "ROI:  -1.37%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (287 games), I would make $-150.24 on $50465.37\n",
      "ROI:  -0.30%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (232 games), I would make $-1280.24 on $41021.33\n",
      "ROI:  -3.12%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (153 games), I would make $-2583.00 on $27518.09\n",
      "ROI:  -9.39%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (74 games), I would make $-1706.00 on $13922.00\n",
      "ROI: -12.25%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (28 games), I would make $-1357.00 on $5391.00\n",
      "ROI: -25.17%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (10 games), I would make $-788.00 on $2043.00\n",
      "ROI: -38.57%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (1 games), I would make $-235.00 on $235.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.18\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (199 games), I would make $-583.00 on $35121.13\n",
      "ROI:  -1.66%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (199 games), I would make $-583.00 on $35121.13\n",
      "ROI:  -1.66%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (199 games), I would make $-583.00 on $35121.13\n",
      "ROI:  -1.66%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (199 games), I would make $-583.00 on $35121.13\n",
      "ROI:  -1.66%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (197 games), I would make $-783.00 on $34803.13\n",
      "ROI:  -2.25%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (194 games), I would make $-1083.00 on $34274.13\n",
      "ROI:  -3.16%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (190 games), I would make $-909.00 on $33587.13\n",
      "ROI:  -2.71%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (176 games), I would make $-726.00 on $31437.13\n",
      "ROI:  -2.31%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (139 games), I would make $-1567.00 on $25091.09\n",
      "ROI:  -6.25%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (99 games), I would make $-2723.00 on $18386.09\n",
      "ROI: -14.81%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (45 games), I would make $-1848.00 on $8992.00\n",
      "ROI: -20.55%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (18 games), I would make $-1369.00 on $3752.00\n",
      "ROI: -36.49%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (7 games), I would make $-549.00 on $1480.00\n",
      "ROI: -37.09%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (1 games), I would make $-235.00 on $235.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.19\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (89 games), I would make $-564.00 on $15139.09\n",
      "ROI:  -3.73%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (89 games), I would make $-564.00 on $15139.09\n",
      "ROI:  -3.73%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (89 games), I would make $-564.00 on $15139.09\n",
      "ROI:  -3.73%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (89 games), I would make $-564.00 on $15139.09\n",
      "ROI:  -3.73%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (87 games), I would make $-764.00 on $14821.09\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROI:  -5.15%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (84 games), I would make $-1064.00 on $14292.09\n",
      "ROI:  -7.44%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (84 games), I would make $-1064.00 on $14292.09\n",
      "ROI:  -7.44%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (76 games), I would make $-1102.00 on $13074.09\n",
      "ROI:  -8.43%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (64 games), I would make $-1774.00 on $11007.09\n",
      "ROI: -16.12%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (48 games), I would make $-2031.00 on $8321.09\n",
      "ROI: -24.41%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (20 games), I would make $-905.00 on $3707.00\n",
      "ROI: -24.41%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (8 games), I would make $-663.00 on $1450.00\n",
      "ROI: -45.72%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (3 games), I would make $-280.00 on $520.00\n",
      "ROI: -53.85%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (1 games), I would make $-235.00 on $235.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.20\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (37 games), I would make $-699.00 on $5962.00\n",
      "ROI: -11.72%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (37 games), I would make $-699.00 on $5962.00\n",
      "ROI: -11.72%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (37 games), I would make $-699.00 on $5962.00\n",
      "ROI: -11.72%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (37 games), I would make $-699.00 on $5962.00\n",
      "ROI: -11.72%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (36 games), I would make $-799.00 on $5839.00\n",
      "ROI: -13.68%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (35 games), I would make $-899.00 on $5654.00\n",
      "ROI: -15.90%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (35 games), I would make $-899.00 on $5654.00\n",
      "ROI: -15.90%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (33 games), I would make $-1099.00 on $5309.00\n",
      "ROI: -20.70%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (28 games), I would make $-1071.00 on $4471.00\n",
      "ROI: -23.95%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (23 games), I would make $-1130.00 on $3825.00\n",
      "ROI: -29.54%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (9 games), I would make $-790.00 on $1611.00\n",
      "ROI: -49.04%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (2 games), I would make $-345.00 on $345.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.21\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (21 games), I would make $-369.00 on $3052.00\n",
      "ROI: -12.09%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (21 games), I would make $-369.00 on $3052.00\n",
      "ROI: -12.09%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (21 games), I would make $-369.00 on $3052.00\n",
      "ROI: -12.09%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (21 games), I would make $-369.00 on $3052.00\n",
      "ROI: -12.09%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (20 games), I would make $-469.00 on $2929.00\n",
      "ROI: -16.01%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (20 games), I would make $-469.00 on $2929.00\n",
      "ROI: -16.01%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (20 games), I would make $-469.00 on $2929.00\n",
      "ROI: -16.01%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (19 games), I would make $-569.00 on $2789.00\n",
      "ROI: -20.40%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (18 games), I would make $-419.00 on $2639.00\n",
      "ROI: -15.88%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (13 games), I would make $-478.00 on $1993.00\n",
      "ROI: -23.98%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (5 games), I would make $-297.00 on $788.00\n",
      "ROI: -37.69%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (2 games), I would make $-345.00 on $345.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.22\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (9 games), I would make $-55.00 on $1267.00\n",
      "ROI:  -4.34%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (9 games), I would make $-55.00 on $1267.00\n",
      "ROI:  -4.34%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (9 games), I would make $-55.00 on $1267.00\n",
      "ROI:  -4.34%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (9 games), I would make $-55.00 on $1267.00\n",
      "ROI:  -4.34%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (9 games), I would make $-55.00 on $1267.00\n",
      "ROI:  -4.34%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (9 games), I would make $-55.00 on $1267.00\n",
      "ROI:  -4.34%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (9 games), I would make $-55.00 on $1267.00\n",
      "ROI:  -4.34%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (8 games), I would make $-155.00 on $1127.00\n",
      "ROI: -13.75%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (8 games), I would make $-155.00 on $1127.00\n",
      "ROI: -13.75%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (6 games), I would make $-355.00 on $850.00\n",
      "ROI: -41.76%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (2 games), I would make $-297.00 on $297.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.23\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (2 games), I would make $-45.00 on $285.00\n",
      "ROI: -15.79%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (2 games), I would make $-45.00 on $285.00\n",
      "ROI: -15.79%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (2 games), I would make $-45.00 on $285.00\n",
      "ROI: -15.79%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (2 games), I would make $-45.00 on $285.00\n",
      "ROI: -15.79%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (2 games), I would make $-45.00 on $285.00\n",
      "ROI: -15.79%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (2 games), I would make $-45.00 on $285.00\n",
      "ROI: -15.79%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (2 games), I would make $-45.00 on $285.00\n",
      "ROI: -15.79%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.24\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.25\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (1 games), I would make $-145.00 on $145.00\n",
      "ROI: -100.00%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.26\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.25, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.26, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.27, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.28, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.29, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.30, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.31, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.32, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.33, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.34, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.35, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.36, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.37, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.38, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n",
      "Favorites Threshold:   0.39, Confidence Threshold:   0.27\n",
      "If I bet to make $100 per game (0 games), I would make $  0.00 on $  0.00\n",
      "ROI:    nan%\n"
     ]
    }
   ],
   "source": [
    "def selectFavoritesAndDifference(favoriteThreshold, confidenceThreshold):\n",
    "    favoriteFrame = newGamesFrame.loc[(newGamesFrame['FavoritesW%'] > favoriteThreshold) & (newGamesFrame['ConfidenceDifference'] > confidenceThreshold)]\n",
    "    correctGuesses = favoriteFrame.loc[favoriteFrame['Result'] == favoriteFrame['Prediction']].shape[0]\n",
    "    print('Favorites Threshold: %6.2f, Confidence Threshold: %6.2f' % (favoriteThreshold, confidenceThreshold))\n",
    "#     print('Threshold: %6.2f, Accuracy: %6.2f%%' % (threshold, (correctGuesses / favoriteFrame.shape[0])))\n",
    "    print(\"If I bet to make $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (favoriteFrame.shape[0], favoriteFrame['BetFor100Outcome'].sum(), favoriteFrame['BetFor100TotalInvestment'].sum()))\n",
    "    print('ROI: %6.2f%%' % (favoriteFrame['BetFor100Outcome'].sum() / favoriteFrame['BetFor100TotalInvestment'].sum() * 100))\n",
    "    \n",
    "for confidence in [x / 100 for x in range(0, 28)]:\n",
    "    for favorite in [x / 100 for x in range(25, 40, 1)]:\n",
    "        selectFavoritesAndDifference(favorite, confidence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3869154795709335"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newGamesFrame['FavoritesW%'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If I bet $100 per game (428 games), I would make $-960.56 on $42800.00\n",
      "     Accuracy: 0.514019   (220 correct / 428 games)\n",
      "If I bet to make $100 per game (428 games), I would make $-779.57 on $42800.00\n"
     ]
    },
    {
     "data": {
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       "      <td>0.445803</td>\n",
       "      <td>0.554197</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.523810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11270</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.406970</td>\n",
       "      <td>0.593030</td>\n",
       "      <td>0.537037</td>\n",
       "      <td>0.487805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11272</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.444197</td>\n",
       "      <td>0.555803</td>\n",
       "      <td>0.539171</td>\n",
       "      <td>0.485437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11275</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.413062</td>\n",
       "      <td>0.586938</td>\n",
       "      <td>0.543379</td>\n",
       "      <td>0.480769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11277</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.411700</td>\n",
       "      <td>0.588300</td>\n",
       "      <td>0.551570</td>\n",
       "      <td>0.473934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11278</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.595848</td>\n",
       "      <td>0.404152</td>\n",
       "      <td>0.431034</td>\n",
       "      <td>0.593496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11279</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.396736</td>\n",
       "      <td>0.603264</td>\n",
       "      <td>0.473934</td>\n",
       "      <td>0.551570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11284</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.402363</td>\n",
       "      <td>0.597637</td>\n",
       "      <td>0.574468</td>\n",
       "      <td>0.450450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11286</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.404113</td>\n",
       "      <td>0.595887</td>\n",
       "      <td>0.495050</td>\n",
       "      <td>0.530516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11290</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.413479</td>\n",
       "      <td>0.586521</td>\n",
       "      <td>0.576271</td>\n",
       "      <td>0.448430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11292</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.517762</td>\n",
       "      <td>0.482238</td>\n",
       "      <td>0.514563</td>\n",
       "      <td>0.509804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11294</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.540977</td>\n",
       "      <td>0.459023</td>\n",
       "      <td>0.551570</td>\n",
       "      <td>0.473934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11296</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.402757</td>\n",
       "      <td>0.597243</td>\n",
       "      <td>0.579832</td>\n",
       "      <td>0.444444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11297</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.403830</td>\n",
       "      <td>0.596170</td>\n",
       "      <td>0.534884</td>\n",
       "      <td>0.490196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11299</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.508465</td>\n",
       "      <td>0.491535</td>\n",
       "      <td>0.640288</td>\n",
       "      <td>0.384615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11300</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.578771</td>\n",
       "      <td>0.421229</td>\n",
       "      <td>0.480769</td>\n",
       "      <td>0.543379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11301</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.409588</td>\n",
       "      <td>0.590412</td>\n",
       "      <td>0.561404</td>\n",
       "      <td>0.462963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11302</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.402773</td>\n",
       "      <td>0.597227</td>\n",
       "      <td>0.572650</td>\n",
       "      <td>0.452489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11303</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.391569</td>\n",
       "      <td>0.608431</td>\n",
       "      <td>0.543379</td>\n",
       "      <td>0.480769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11304</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.563089</td>\n",
       "      <td>0.436911</td>\n",
       "      <td>0.473934</td>\n",
       "      <td>0.551570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11305</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.413307</td>\n",
       "      <td>0.586693</td>\n",
       "      <td>0.543379</td>\n",
       "      <td>0.480769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11306</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.418460</td>\n",
       "      <td>0.581540</td>\n",
       "      <td>0.551570</td>\n",
       "      <td>0.473934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11309</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.527247</td>\n",
       "      <td>0.472753</td>\n",
       "      <td>0.561404</td>\n",
       "      <td>0.462963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12252</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.436343</td>\n",
       "      <td>0.563657</td>\n",
       "      <td>0.559471</td>\n",
       "      <td>0.465116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12253</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.423202</td>\n",
       "      <td>0.576798</td>\n",
       "      <td>0.448430</td>\n",
       "      <td>0.576271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12255</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.411328</td>\n",
       "      <td>0.588672</td>\n",
       "      <td>0.585062</td>\n",
       "      <td>0.438596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12257</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.519157</td>\n",
       "      <td>0.480843</td>\n",
       "      <td>0.565217</td>\n",
       "      <td>0.458716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12259</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.421500</td>\n",
       "      <td>0.578500</td>\n",
       "      <td>0.543379</td>\n",
       "      <td>0.480769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12260</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.525470</td>\n",
       "      <td>0.474530</td>\n",
       "      <td>0.543379</td>\n",
       "      <td>0.480769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12266</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.413151</td>\n",
       "      <td>0.586849</td>\n",
       "      <td>0.389105</td>\n",
       "      <td>0.635036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12271</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.564738</td>\n",
       "      <td>0.435262</td>\n",
       "      <td>0.661017</td>\n",
       "      <td>0.363636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12274</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.401079</td>\n",
       "      <td>0.598921</td>\n",
       "      <td>0.532710</td>\n",
       "      <td>0.492611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12276</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.396517</td>\n",
       "      <td>0.603483</td>\n",
       "      <td>0.585062</td>\n",
       "      <td>0.438596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12278</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.433868</td>\n",
       "      <td>0.566132</td>\n",
       "      <td>0.495050</td>\n",
       "      <td>0.530516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12283</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.410494</td>\n",
       "      <td>0.589506</td>\n",
       "      <td>0.504950</td>\n",
       "      <td>0.519231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12286</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.404026</td>\n",
       "      <td>0.595974</td>\n",
       "      <td>0.532710</td>\n",
       "      <td>0.492611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12287</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.520711</td>\n",
       "      <td>0.479289</td>\n",
       "      <td>0.543379</td>\n",
       "      <td>0.480769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12289</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.436302</td>\n",
       "      <td>0.563698</td>\n",
       "      <td>0.409836</td>\n",
       "      <td>0.613900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12290</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.416135</td>\n",
       "      <td>0.583865</td>\n",
       "      <td>0.551570</td>\n",
       "      <td>0.473934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12302</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.467230</td>\n",
       "      <td>0.532770</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12304</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.412807</td>\n",
       "      <td>0.587193</td>\n",
       "      <td>0.516908</td>\n",
       "      <td>0.507389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12305</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.572159</td>\n",
       "      <td>0.427841</td>\n",
       "      <td>0.465116</td>\n",
       "      <td>0.559471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12311</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.412506</td>\n",
       "      <td>0.587494</td>\n",
       "      <td>0.581590</td>\n",
       "      <td>0.442478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12314</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.473951</td>\n",
       "      <td>0.526049</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12316</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.568525</td>\n",
       "      <td>0.431475</td>\n",
       "      <td>0.469484</td>\n",
       "      <td>0.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12318</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.476119</td>\n",
       "      <td>0.523881</td>\n",
       "      <td>0.473934</td>\n",
       "      <td>0.551570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12319</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.413420</td>\n",
       "      <td>0.586580</td>\n",
       "      <td>0.521531</td>\n",
       "      <td>0.502488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12324</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.481082</td>\n",
       "      <td>0.518918</td>\n",
       "      <td>0.434783</td>\n",
       "      <td>0.590164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12329</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.388044</td>\n",
       "      <td>0.611956</td>\n",
       "      <td>0.551570</td>\n",
       "      <td>0.473934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12332</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.466442</td>\n",
       "      <td>0.533558</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.570815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12335</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.506027</td>\n",
       "      <td>0.493973</td>\n",
       "      <td>0.595142</td>\n",
       "      <td>0.429185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12336</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.574730</td>\n",
       "      <td>0.425270</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.568966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12337</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.454976</td>\n",
       "      <td>0.545024</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>0.579832</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>428 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Result  Prediction  0_Confidence  1_Confidence  ImpliedProbabilityHome  \\\n",
       "11256       1           0      0.541660      0.458340                0.570815   \n",
       "11259       0           0      0.548868      0.451132                0.504950   \n",
       "11261       1           1      0.439287      0.560713                0.539171   \n",
       "11262       1           0      0.517838      0.482162                0.516908   \n",
       "11263       1           1      0.465360      0.534640                0.473934   \n",
       "11265       0           0      0.517669      0.482331                0.539171   \n",
       "11266       1           0      0.513030      0.486970                0.579832   \n",
       "11268       0           1      0.445803      0.554197                0.500000   \n",
       "11270       0           1      0.406970      0.593030                0.537037   \n",
       "11272       0           1      0.444197      0.555803                0.539171   \n",
       "11275       0           1      0.413062      0.586938                0.543379   \n",
       "11277       0           1      0.411700      0.588300                0.551570   \n",
       "11278       1           0      0.595848      0.404152                0.431034   \n",
       "11279       1           1      0.396736      0.603264                0.473934   \n",
       "11284       0           1      0.402363      0.597637                0.574468   \n",
       "11286       1           1      0.404113      0.595887                0.495050   \n",
       "11290       0           1      0.413479      0.586521                0.576271   \n",
       "11292       1           0      0.517762      0.482238                0.514563   \n",
       "11294       0           0      0.540977      0.459023                0.551570   \n",
       "11296       1           1      0.402757      0.597243                0.579832   \n",
       "11297       0           1      0.403830      0.596170                0.534884   \n",
       "11299       0           0      0.508465      0.491535                0.640288   \n",
       "11300       0           0      0.578771      0.421229                0.480769   \n",
       "11301       1           1      0.409588      0.590412                0.561404   \n",
       "11302       1           1      0.402773      0.597227                0.572650   \n",
       "11303       0           1      0.391569      0.608431                0.543379   \n",
       "11304       0           0      0.563089      0.436911                0.473934   \n",
       "11305       1           1      0.413307      0.586693                0.543379   \n",
       "11306       0           1      0.418460      0.581540                0.551570   \n",
       "11309       1           0      0.527247      0.472753                0.561404   \n",
       "...       ...         ...           ...           ...                     ...   \n",
       "12252       1           1      0.436343      0.563657                0.559471   \n",
       "12253       0           1      0.423202      0.576798                0.448430   \n",
       "12255       1           1      0.411328      0.588672                0.585062   \n",
       "12257       0           0      0.519157      0.480843                0.565217   \n",
       "12259       1           1      0.421500      0.578500                0.543379   \n",
       "12260       0           0      0.525470      0.474530                0.543379   \n",
       "12266       0           1      0.413151      0.586849                0.389105   \n",
       "12271       0           0      0.564738      0.435262                0.661017   \n",
       "12274       1           1      0.401079      0.598921                0.532710   \n",
       "12276       1           1      0.396517      0.603483                0.585062   \n",
       "12278       0           1      0.433868      0.566132                0.495050   \n",
       "12283       1           1      0.410494      0.589506                0.504950   \n",
       "12286       1           1      0.404026      0.595974                0.532710   \n",
       "12287       1           0      0.520711      0.479289                0.543379   \n",
       "12289       0           1      0.436302      0.563698                0.409836   \n",
       "12290       0           1      0.416135      0.583865                0.551570   \n",
       "12302       1           1      0.467230      0.532770                0.523810   \n",
       "12304       0           1      0.412807      0.587193                0.516908   \n",
       "12305       0           0      0.572159      0.427841                0.465116   \n",
       "12311       1           1      0.412506      0.587494                0.581590   \n",
       "12314       0           1      0.473951      0.526049                0.523810   \n",
       "12316       1           0      0.568525      0.431475                0.469484   \n",
       "12318       1           1      0.476119      0.523881                0.473934   \n",
       "12319       1           1      0.413420      0.586580                0.521531   \n",
       "12324       0           1      0.481082      0.518918                0.434783   \n",
       "12329       0           1      0.388044      0.611956                0.551570   \n",
       "12332       1           1      0.466442      0.533558                0.454545   \n",
       "12335       1           0      0.506027      0.493973                0.595142   \n",
       "12336       0           0      0.574730      0.425270                0.454545   \n",
       "12337       1           1      0.454976      0.545024                0.444444   \n",
       "\n",
       "       ImpliedProbabilityAway  \n",
       "11256                0.454545  \n",
       "11259                0.519231  \n",
       "11261                0.485437  \n",
       "11262                0.507389  \n",
       "11263                0.551570  \n",
       "11265                0.485437  \n",
       "11266                0.444444  \n",
       "11268                0.523810  \n",
       "11270                0.487805  \n",
       "11272                0.485437  \n",
       "11275                0.480769  \n",
       "11277                0.473934  \n",
       "11278                0.593496  \n",
       "11279                0.551570  \n",
       "11284                0.450450  \n",
       "11286                0.530516  \n",
       "11290                0.448430  \n",
       "11292                0.509804  \n",
       "11294                0.473934  \n",
       "11296                0.444444  \n",
       "11297                0.490196  \n",
       "11299                0.384615  \n",
       "11300                0.543379  \n",
       "11301                0.462963  \n",
       "11302                0.452489  \n",
       "11303                0.480769  \n",
       "11304                0.551570  \n",
       "11305                0.480769  \n",
       "11306                0.473934  \n",
       "11309                0.462963  \n",
       "...                       ...  \n",
       "12252                0.465116  \n",
       "12253                0.576271  \n",
       "12255                0.438596  \n",
       "12257                0.458716  \n",
       "12259                0.480769  \n",
       "12260                0.480769  \n",
       "12266                0.635036  \n",
       "12271                0.363636  \n",
       "12274                0.492611  \n",
       "12276                0.438596  \n",
       "12278                0.530516  \n",
       "12283                0.519231  \n",
       "12286                0.492611  \n",
       "12287                0.480769  \n",
       "12289                0.613900  \n",
       "12290                0.473934  \n",
       "12302                0.500000  \n",
       "12304                0.507389  \n",
       "12305                0.559471  \n",
       "12311                0.442478  \n",
       "12314                0.500000  \n",
       "12316                0.555556  \n",
       "12318                0.551570  \n",
       "12319                0.502488  \n",
       "12324                0.590164  \n",
       "12329                0.473934  \n",
       "12332                0.570815  \n",
       "12335                0.429185  \n",
       "12336                0.568966  \n",
       "12337                0.579832  \n",
       "\n",
       "[428 rows x 6 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newGamesFrame['ImpliedProbabilityHome'] = 100 / (100 + 100 * newGamesFrame['HomePayout'])  \n",
    "newGamesFrame['ImpliedProbabilityAway'] = 100 / (100 + 100 * newGamesFrame['AwayPayout'])  \n",
    "\n",
    "valueFrame = newGamesFrame.loc[((newGamesFrame['1_Confidence'] > newGamesFrame['ImpliedProbabilityHome']) & (newGamesFrame['1_Confidence'] > newGamesFrame['0_Confidence'])) | ((newGamesFrame['0_Confidence'] > newGamesFrame['ImpliedProbabilityAway']) & (newGamesFrame['1_Confidence'] < newGamesFrame['0_Confidence']))]\n",
    "\n",
    "print(\"If I bet $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (valueFrame.shape[0], valueFrame['BetWith100Outcome'].sum(), valueFrame.shape[0] * 100))\n",
    "print(\"     Accuracy: %6.6f   (%d correct / %d games)\" % (sum(valueFrame['Result'] == valueFrame['Prediction']) / float(len(valueFrame)), sum(valueFrame['Result'] == valueFrame['Prediction']), len(valueFrame)))\n",
    "print(\"If I bet to make $100 per game (%d games), I would make $%6.2f on $%6.2f\" % (valueFrame.shape[0], valueFrame['BetFor100Outcome'].sum(), valueFrame.shape[0] * 100))\n",
    "\n",
    "valueFrame[['Result', 'Prediction', '0_Confidence', '1_Confidence', 'ImpliedProbabilityHome', 'ImpliedProbabilityAway']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'0_Confidence'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   3077\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3078\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3079\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: '0_Confidence'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-69-9731a1b4f60f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnewGamesFrame\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'0_Confidence'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2686\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2687\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2688\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2689\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2690\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_getitem_column\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2693\u001b[0m         \u001b[0;31m# get column\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2694\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2695\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2696\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2697\u001b[0m         \u001b[0;31m# duplicate columns & possible reduce dimensionality\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m_get_item_cache\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m   2487\u001b[0m         \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2488\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2489\u001b[0;31m             \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2490\u001b[0m             \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_box_item_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2491\u001b[0m             \u001b[0mcache\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, item, fastpath)\u001b[0m\n\u001b[1;32m   4113\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4114\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4115\u001b[0;31m                 \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   4116\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4117\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   3078\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3079\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3080\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3081\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3082\u001b[0m         \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: '0_Confidence'"
     ]
    }
   ],
   "source": [
    "newGamesFrame['0_Confidence']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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