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This is the LA Commuters Scouting DB with CRUD operations

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Scouting Database for LA Basketball Team 🏀

Overview

This Scouting Database is designed for a fictional Los Angeles basketball team to track and analyze opposing teams' players and the revenue they generate. The app provides a centralized platform to streamline scouting efforts, enhance decision-making, and gain insights into the financial impact of competing teams.

Features

Player Scouting

  • Player Profiles: Store detailed information about players, including stats, position, team, and recent performance.
  • Performance Tracking: Monitor player performance over time, including key metrics like points, rebounds, assists, and more.
  • Custom Notes: Add scouting notes for individual players to capture strengths, weaknesses, and observations.

Revenue Tracking

  • Team Revenue Monitoring: Track revenue generated by opposing teams from ticket sales, merchandise, and other sources.
  • Revenue Trends: Analyze revenue trends across seasons to identify high-impact games and teams.
  • Comparison Tools: Compare revenue generated by different teams to gauge their market influence.

Reporting & Insights

  • Data Visualization: Generate visual reports to quickly assess player performance and revenue trends.
  • Exportable Reports: Export data for use in presentations or further analysis.
  • Real-Time Updates: Keep scouting data and revenue figures up to date with real-time input capabilities.

Technologies Used

  • Frontend: HTML, CSS
  • Backend: Jinja, Flask
  • Database: MySQL, MySQLdb
  • Version Control: Git, GitHub

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This is the LA Commuters Scouting DB with CRUD operations

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