Held-out backtest results for the current production model (version ridge_logistic_v1, fit for the 2025-2026 Season) against recent completed seasons it never trained on - each season's ratings and prediction models are refit using only information available before that season's own tournament, then scored against what actually happened. This is a read-only summary; the interactive hyperparameter-sweep tool lives in Administration. For a specific season's actual, game-by-game result (not this aggregate backtest), see Bracket Results.
| Season | Games graded | Brier score | Log loss | Accuracy | Margin MAE |
|---|---|---|---|---|---|
| 2020-2021 Season | 66 | 0.2361 | 0.6588 | 59.1% | 11.35 |
| 2021-2022 Season | 67 | 0.1938 | 0.5722 | 68.7% | 9.48 |
| 2022-2023 Season | 67 | 0.2243 | 0.6447 | 62.7% | 10.28 |
| 2023-2024 Season | 67 | 0.1927 | 0.5632 | 70.1% | 10.67 |
| 2024-2025 Season | 67 | 0.1642 | 0.4980 | 77.6% | 8.76 |
See the Data Dictionary for what each of these metrics actually measures - lower Brier score / log loss / margin MAE is better; higher accuracy is better. Precomputed once per model fit, not recomputed on this page load.