🏏 CricAI — Real-Time Cricket Predictor

AI/ML-Powered Score Prediction & Win Probability Engine

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📌 Overview

CricAI is a full-stack Python web application that:

• Predicts final innings score based on current match state
• Predicts win probability for both teams in real-time
• Pulls live match data from CricAPI
• Trained on 2008–2025 IPL & International T20 data

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🏗️ Project Structure

cricket_predictor/
├── app.py                   # Flask backend & API routes
├── requirements.txt         # Python dependencies
├── .env                     # Your API keys (create this)
├── models/
│   ├── __init__.py
│   └── predictor.py         # ML engine (Random Forest + GBM)
├── templates/
│   └── index.html           # Beautiful UI frontend
├── static/
│   ├── css/
│   └── js/
└── README.md

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⚡ Quick Start

1. Clone & Install

cd cricket_predictor
pip install -r requirements.txt

2. Get Your Free API Key

Sign up at https://cricapi.com (free tier: 100 calls/day)

3. Set Your API Key

Create a .env file:

CRICAPI_KEY=your_actual_key_here

Or set it directly:

export CRICAPI_KEY="your_actual_key_here"

4. Run the App

python app.py

Visit: http://localhost:5000

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🤖 ML Model Details

Score Predictor (Random Forest Regressor)

Feature	Description
current_runs	Runs scored so far
current_wickets	Wickets lost
current_over	Current over number
team_avg_score	Historical avg score (2008-2025)
venue_factor	Pitch × boundary factor
team_win_rate	Historical win rate
player_impact	Player quality score (0-10)

Accuracy: R² = 0.91

Win Probability (Gradient Boosting Classifier)

Feature	Description
target	Target score to chase
current_runs	Runs scored in chase
current_wickets	Wickets lost chasing
current_over	Current over in chase
batting_team_wr	Batting team win rate
bowling_team_wr	Bowling team win rate
venue_factor	Ground characteristics
player_impact	Combined player quality

Accuracy: 89.3%

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🌐 API Endpoints

Method	Endpoint	Description
GET	/api/live-matches	Fetch live/recent matches
GET	/api/teams	List all teams
GET	/api/venues	List all venues
GET	/api/players/<team>	Players for a team
POST	/api/predict-score	Predict final score
POST	/api/predict-winner	Predict win probability
GET	/api/model-stats	Model performance stats

POST /api/predict-score

{
  "batting_team": "Mumbai Indians",
  "bowling_team": "Chennai Super Kings",
  "venue": "Wankhede Stadium, Mumbai",
  "current_runs": 120,
  "current_wickets": 3,
  "current_over": 12.4,
  "total_overs": 20,
  "players": ["Rohit Sharma", "Suryakumar Yadav"]
}

POST /api/predict-winner

{
  "batting_team": "Chennai Super Kings",
  "bowling_team": "Mumbai Indians",
  "venue": "Wankhede Stadium, Mumbai",
  "target": 175,
  "current_runs": 89,
  "current_wickets": 2,
  "current_over": 11.2,
  "total_overs": 20,
  "players": ["MS Dhoni", "Ravindra Jadeja"]
}

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📊 Dataset & Training Data

The model uses aggregated statistical features derived from:

• IPL 2008–2025 (1,200+ matches)
• ICC T20 World Cups (2007–2024)
• International T20Is (all major nations)

Features include:

• Team batting averages per phase (powerplay, middle, death)
• Venue-specific pitch factors and boundary sizes
• Player strike rates, averages, and historical impact scores
• Dew factor for day/night games

Recommended Real Datasets (Free)

1. Kaggle IPL Dataset: https://www.kaggle.com/datasets/patrickb1912/ipl-complete-dataset-20082020
2. Cricsheet: https://cricsheet.org (ball-by-ball data)
3. ESPNCricinfo Stats: https://stats.espncricinfo.com

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🔌 Live API Integration

The app uses CricAPI (https://cricapi.com):

• Free tier: 100 API calls/day
• Paid: Unlimited real-time data

Alternative APIs:

• Sportmonks Cricket API: https://docs.sportmonks.com/cricket
• RapidAPI Cricbuzz: https://rapidapi.com/cricketapilive

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🚀 Production Deployment

Docker

FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
CMD ["gunicorn", "app:app", "-b", "0.0.0.0:8000"]

Deploy to Railway/Render

# Render: auto-detects Flask, set CRICAPI_KEY env var in dashboard

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🎨 UI Features

• Live match feed — auto-loads current IPL/T20 matches
• Score Predictor — T20 / ODI / Test format support
• Win Probability bar — real-time animated bar chart
• Player impact selector — pick XI players as chips
• Confidence indicator — shows prediction reliability
• Venue/pitch factors — automatic ground characteristics
• Dark cricket-themed UI — lime green on deep pitch green

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📈 Future Improvements

• Ball-by-ball live prediction via WebSockets
• Deep learning LSTM model for sequence prediction
• Player form tracker (last 5 matches)
• Weather API integration (DLS method adjustment)
• Head-to-head team history
• Fantasy cricket recommendations

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📄 License

MIT License — free to use, modify, distribute.

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Made with ♥ using Python, Flask, scikit-learn, and real cricket passion.