Our AI system predicts match outcomes based on probabilities.
Model Sources
- Multi-season historical data
- Elo strength ratings
- xG goal models
- Machine learning probability calibration
Backtesting Performance
Historical backtesting accuracy ranges from approximately 61%–66% across different markets.
Note:
- Accuracy does not guarantee profitability
- The key lies in long-term probabilistic advantage
- The market itself has efficiency
The model's goal is to provide independent probability judgments rather than follow bookmaker odds.
