How FutebolAI Prediction Model Works
Pro Analyst exclusive.
Transparency is core to our platform. Here is exactly how our AI generates match predictions.
Data Sources
- Historical Results: 5 years of match data across all major leagues
- Advanced Metrics: xG, PPDA, field tilt, progressive passes/carries
- Contextual Factors: Injuries, suspensions, home/away form, weather
Model Architecture
Our model uses ensemble methods combining Poisson regression for scoreline prediction with gradient boosted trees for outcome probability. Features include rolling form metrics, head-to-head history, and positional strength indicators.
Accuracy Metrics
We backtest against historical data and publish our prediction accuracy publicly. Our goal is consistent 55-60% accuracy on match outcomes (home/draw/away).
Disclaimer: For entertainment only. Not betting advice.