Ronin Model Performance
Historical accuracy tracking and prediction analysis
Filters
R² Score
0.78
Variance Explained
MAE
2.80
Mean Absolute Error
RMSE
3.50
Root Mean Squared Error
MAPE
7.2%
Mean Absolute % Error
Accuracy Trend
Model accuracy by week
- ensemble
- ewma
- vap
Position Accuracy
Accuracy by player position
Prediction Accuracy
Predicted vs Actual Scores
Weekly Performance
Predictions and accuracy by week
- Correct Predictions
- Accuracy
Model Comparison
Performance metrics across all models
| Model | R² Score | MAE | RMSE | MAPE | Status |
|---|---|---|---|---|---|
| EWMA | 0.72 | 3.20 | 4.10 | 8.5% | Active |
| RTM | 0.68 | 3.80 | 4.70 | 10.2% | Active |
| SOS | 0.65 | 4.20 | 5.10 | 11.8% | Active |
| VAP | 0.71 | 3.30 | 4.20 | 8.9% | Active |
| Ensemble | 0.78 | 2.80 | 3.50 | 7.2% | Recommended |
Performance Insights
📈 Best Performing Model
The Ensemble model achieves 78% accuracy by combining EWMA, RTM, SOS, and VAP algorithms.
🎯 Strongest Position
QB predictions are most accurate (82%), followed by WR (78%) and RB (76%).
📊 Trend Analysis
Model accuracy improves throughout the season as it learns from actual performance data.