Model Predictions
| Model | Manhattan | Canisius | Spread | Result |
|---|---|---|---|---|
| Elo | 51.2% | 48.8% | - | ✗ |
| Bradley-Terry | 60.7% | 39.3% | - | ✗ |
| Margin | 54.6% | 45.4% | - | ✗ |
| Pythagorean | 70.8% | 29.2% | - | ✗ |
| Adjusted Efficiency | 77.5% | 22.5% | - | ✗ |
| Log Adjusted | 77.4% | 22.6% | - | ✗ |
| Points Off/Def | 58.9% | 41.1% | - | ✗ |
Actual: Canisius +7 (105-98). Win probabilities: out-of-sample forecasts from the weekly fit before the game, the same forecasts as the model pages.