Regis (CO)
Model Outputs
2024-2025
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 857 (#342) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 820 (#345) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +4.6 (#149) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.455 (#376) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.423 (#242) | NetEff -2.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.758 (#291) | AdjNet +9.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.775 (#291) | AdjNet +10.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.654 (#287) | AdjO 71.9 | AdjD 64.9 |
2025 Schedule & Results
2025 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Erin Fry | - | 30 | 36.6 | 18.0 | 4.3 | 5.1 | 1.1 | 0.2 | 3.1 | 15.6 | 9.9 | -79 | -2.8 | -2.3 | 34.9 | 25.5 | 77.2 | -0.43 | 48.1 | 40.0 |
| Athena Saragoza | - | 30 | 36.9 | 17.2 | 3.3 | 1.9 | 1.1 | 0.0 | 1.7 | 16.8 | 5.0 | -83 | -3.0 | -2.4 | 38.4 | 34.7 | 66.1 | -0.71 | 48.7 | 47.3 |
| Fiona Snashall | - | 26 | 27.1 | 8.9 | 7.8 | 1.2 | 1.0 | 0.4 | 2.4 | 8.1 | 8.8 | -50 | -2.3 | -1.7 | 41.7 | 30.8 | 76.9 | 0.9 | 49.6 | 45.5 |
| Taylin Serlen | - | 30 | 22.6 | 7.5 | 4.6 | 0.9 | 0.7 | 1.1 | 1.1 | 6.2 | 7.5 | -21 | -0.8 | -0.8 | 50.8 | 0.0 | 54.7 | 0.45 | 52.3 | 50.8 |
| Jessica Bollwahn | - | 30 | 24.3 | 6.0 | 6.9 | 1.0 | 1.1 | 0.4 | 1.3 | 6.6 | 7.5 | -104 | -2.9 | -3.3 | 33.0 | 15.9 | 74.0 | -1.03 | 41.1 | 36.3 |
| Addison Branscum | - | 30 | 23.3 | 5.8 | 5.0 | 0.7 | 0.5 | 0.2 | 1.2 | 4.9 | 6.2 | -61 | -2.0 | -2.5 | 43.8 | 29.9 | 68.4 | -0.48 | 53.5 | 50.7 |
| Mary Crossland | - | 30 | 9.8 | 2.5 | 1.0 | 0.5 | 0.1 | 0.0 | 0.5 | 2.6 | 0.9 | -65 | -2.0 | -3.1 | 31.6 | 30.6 | 69.2 | -0.78 | 43.7 | 41.1 |
| Alexa Dominguez | - | 19 | 13.3 | 2.3 | 2.3 | 0.8 | 0.5 | 0.0 | 0.3 | 3.1 | 2.6 | -30 | -2.7 | -3.6 | 29.3 | 23.3 | 75.0 | -0.34 | 36.8 | 35.3 |
| Rachel George | - | 21 | 4.0 | 1.4 | 0.9 | 0.3 | 0.1 | 0.0 | 0.2 | 1.6 | 1.0 | -26 | -2.4 | -8.3 | 35.3 | 50.0 | 20.0 | -0.49 | 41.4 | 42.6 |
| Thalia Daniels | - | 29 | 3.4 | 0.9 | 0.8 | 0.1 | 0.2 | 0.1 | 0.2 | 0.8 | 1.1 | 0 | 0.0 | 0.0 | 39.1 | 37.5 | 100.0 | -0.03 | 54.4 | 52.2 |
| Kylin Shipman | - | 28 | 3.4 | 0.8 | 0.3 | 0.2 | 0.2 | 0.0 | 0.2 | 1.2 | 0.1 | -8 | -0.7 | -2.4 | 20.6 | 14.3 | 83.3 | -0.31 | 28.7 | 23.5 |
| Pearle Green | - | 21 | 2.6 | 0.7 | 0.3 | 0.1 | 0.0 | 0.0 | 0.0 | 0.7 | 0.4 | -64 | -4.9 | -12.2 | 35.7 | 27.3 | 100.0 | -0.83 | 48.5 | 46.4 |
| Natalie Thornton | - | 29 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
| Auto Thomas | - | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 32 | 1.2 | 1.8 | 0 | 0 | 0 | 0.17 | 0 | 0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG