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IPL AI Model - Dream11 Team Predictor

This project predicts optimal Dream11 player points using Machine Learning based on IPL data.
It combines historical + 2024 match statistics with real-time scraping from ESPNcricinfo to recommend the best playing XI.

Features

  • XGBoost models to estimate batting and bowling points
  • Integrates actual match averages and dynamically scraped data
  • Real-time scraping from ESPNcricinfo using Selenium
  • Applies custom constraints to select valid playing 11

How to Run

  1. Install dependencies:
pip install -r requirements.txt
  1. Change the path of input files
  2. Make sure lineups are updated in SquadPlayerNames_IndianT20League_Dup.xlsx
  3. Choose required Match number. ex Match_27 for 27th Match
  4. Run Gameathon.2.0.py

About

This project uses XGBoost models on past match data to estimate batting and bowling points. The system also collects live match data and follows team selection rules to suggest a strong Dream11 playing XI. This project was built as part of the Gameathon 2.0 hackathon and is intended for learning and demonstration purposes only.

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