ML Predictions
Machine learning models for match outcomes, player performance, and statistical forecasting
Match Winners
AI-powered predictions for match outcomes with confidence intervals
Player Performance
Predict disposals, goals, tackles, and other key statistics
Live Probability
Real-time win probability updates during matches
Team Totals
Predict team statistics and scoring patterns
Historical Accuracy
Track model performance and prediction accuracy
Weather Impact
Factor in weather conditions and venue effects
Injury Analysis
Account for player availability and injury impact
Example Predictions
Match Outcomes
Richmond vs Carlton: 68% Richmond
Geelong vs Hawthorn: 74% Geelong
Total Points: 165 ± 12
Player Performance
Marcus Bontempelli: 28 disposals ± 4
Rhylee West: 1.2 goals ± 1.1
Lachie Neale: 9 tackles ± 2
Team Statistics
Inside 50s: 54 vs 48
Contested possessions: 142 vs 138
Turnovers: 62 vs 58
Powered by Machine Learning
Our prediction models use advanced machine learning algorithms trained on years of AFL data, including player statistics, team performance, weather conditions, venue factors, and historical matchups to provide accurate forecasts with confidence intervals.