Prediction Statistics
Real-time accuracy tracking and performance metrics
AI Engine Performance
Monte Carlo
Advanced probabilistic simulations
100K+
Simulations/Match
50+
Scenarios Tested
181,953
Predictions
37.6%
Poisson Distribution
Statistical probability calculations
121
Score Combinations
10+
Years Historical Data
181,953
Predictions
37.6%
Machine Learning
XGBoost + Ensemble neural networks
170+
Input Features
50K+
Matches Trained
181,436
Predictions
37.8%
Hybrid AI
Combines all engines for optimal results
4
AI Engines Combined
170+
Features Analyzed
181,953
Predictions
38.6%
Prediction Confidence Distribution
High Confidence
217,024
Predictions Generated
- Confidence
- > 15%
- For
- Safe Bets
- Accuracy
- 58.58%
Medium Confidence
429,085
Predictions Generated
- Confidence
- 10-15%
- For
- Value Bets
- Accuracy
- 29.60%
Low Confidence
81,186
Predictions Generated
- Confidence
- < 10%
- For
- Risky Bets
- Accuracy
- 26.59%
How Our System Works
Monte Carlo Simulation
Runs 10,000+ simulations per match using team statistics, form, and home advantage factors.
Poisson Distribution
Mathematical probability model based on average goals scored and conceded.
Machine Learning
Neural network trained on historical match data, continuously learning and improving.
Hybrid AI
Combines all three methods with optimized weights based on historical accuracy.