A machine learning-based prediction system for Turkish Spor Toto matches. This bot analyzes historical match data and team statistics to predict match outcomes (1-X-2).
- Data Collection: Scrapes match data from Turkish football leagues
- Feature Engineering: Creates meaningful features from team statistics
- ML Models: Multiple models (Random Forest, XGBoost, Neural Network)
- Ensemble Prediction: Combines multiple models for better accuracy
- Spor Toto Integration: Specifically designed for 15-match predictions
- Performance Tracking: Monitors prediction accuracy over time
matchBet/
├── data/ # Data storage
│ ├── raw/ # Raw scraped data
│ ├── processed/ # Cleaned and processed data
│ └── models/ # Saved ML models
├── src/ # Source code
│ ├── data_collection/ # Data scraping modules
│ ├── preprocessing/ # Data cleaning and feature engineering
│ ├── models/ # ML model implementations
│ ├── prediction/ # Prediction logic
│ └── utils/ # Utility functions
├── notebooks/ # Jupyter notebooks for analysis
├── config/ # Configuration files
└── tests/ # Unit tests
- Clone the repository
- Install dependencies:
pip install -r requirements.txt - Configure API keys in
config/settings.py - Run data collection:
python src/data_collection/scraper.py - Train models:
python src/models/train_models.py - Make predictions:
python src/prediction/predict.py
from src.prediction.predictor import SportTotoPredictor
predictor = SportTotoPredictor()
predictions = predictor.predict_weekly_matches()
print(f"Predicted outcomes: {predictions}")- Target: Predict at least 12 out of 15 matches correctly
- Current best model accuracy: ~65-70% per match
- Probability of 12+ correct: ~15-25% (varies by week)
This tool is for educational and research purposes only. Gambling can be addictive. Please bet responsibly.