Saginaw Valley
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 → | 971 (#231) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1001 (#176) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.9 (#105) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.297 (#445) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.480 (#227) | NetEff -0.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.776 (#285) | AdjNet +10.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.790 (#284) | AdjNet +11.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.663 (#284) | AdjO 65.7 | AdjD 58.3 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Megan Mccalla | - | 4 | 32.8 | 19.2 | 4.5 | 0.8 | 1.0 | 0.0 | 2.8 | 15.0 | 7.8 | -77 | -2.0 | -2.1 | 53.3 | 20.0 | 68.8 | 0.37 | 57.4 | 55.0 |
| Aleshia Jones | - | 29 | 31.0 | 14.6 | 4.9 | 1.8 | 2.0 | 0.4 | 3.4 | 11.7 | 8.7 | -43 | -1.5 | -1.5 | 43.5 | 33.6 | 89.1 | -0.07 | 56.0 | 50.6 |
| Ava Locklear | - | 29 | 27.7 | 9.8 | 7.0 | 1.2 | 1.3 | 1.3 | 2.3 | 7.9 | 10.5 | -48 | -1.7 | -1.9 | 48.7 | 33.3 | 68.1 | -0.3 | 54.9 | 51.8 |
| Lydia Meredith | - | 29 | 30.2 | 7.7 | 4.9 | 3.3 | 2.6 | 0.5 | 3.0 | 6.8 | 9.2 | -68 | -1.8 | -1.8 | 41.9 | 33.3 | 64.9 | -0.13 | 50.0 | 47.0 |
| Saniaa Walker | - | 29 | 25.7 | 5.7 | 4.3 | 1.2 | 2.3 | 0.1 | 1.8 | 5.9 | 5.8 | -57 | -2.0 | -2.2 | 38.6 | 22.0 | 46.3 | -0.24 | 43.4 | 42.4 |
| Lauren Sollom | - | 14 | 8.5 | 2.6 | 1.5 | 0.2 | 0.8 | 0.3 | 0.7 | 2.2 | 2.4 | - | - | - | 48.4 | 38.5 | 33.3 | -0.1 | 55.7 | 56.5 |
| Maggie Keinsley | - | 29 | 14.4 | 2.5 | 2.2 | 0.7 | 0.2 | 0.1 | 1.7 | 2.7 | 1.3 | -39 | -1.3 | -3.0 | 29.5 | 20.0 | 80.0 | -0.05 | 41.0 | 34.0 |
| Emma Dziezgowski | - | 15 | 7.2 | 2.1 | 0.2 | 0.3 | 0.2 | 0.0 | 0.4 | 2.9 | -0.5 | -16 | -1.3 | -3.4 | 23.3 | 23.1 | 100.0 | -0.11 | 35.3 | 33.7 |
| Beckham Hockley | - | 29 | 10.8 | 1.9 | 0.5 | 0.2 | 0.2 | 0.0 | 0.3 | 2.2 | 0.2 | 22 | 0.7 | 2.2 | 27.0 | 28.8 | 50.0 | 0.56 | 41.1 | 40.5 |
| Lainey Yater | - | 29 | 14.9 | 1.2 | 1.2 | 1.3 | 0.5 | 0.0 | 1.4 | 1.2 | 1.6 | -91 | -2.4 | -4.9 | 40.0 | 25.0 | 40.0 | -0.57 | 45.7 | 45.7 |
| Mari Bink | - | 22 | 2.5 | 0.5 | 0.4 | 0.2 | 0.0 | 0.0 | 0.1 | 1.0 | 0.0 | -15 | -1.2 | -5.5 | 13.0 | 8.3 | 83.3 | -0.22 | 23.4 | 15.2 |
| Elizabeth Stuart | - | 27 | 1.0 | 0.4 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.5 | -0.1 | - | - | - | 30.8 | 25.0 | 0 | - | 38.5 | 38.5 |
| Emma Riley | - | 10 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 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