Westminster (PA)
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 → | 856 (#344) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 817 (#346) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -7.1 (#269) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.053 (#563) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.139 (#323) | NetEff -14.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.165 (#542) | AdjNet -14.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.171 (#540) | AdjNet -13.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.321 (#532) | AdjO 59.2 | AdjD 67.4 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Teuila Nawahine | - | 28 | 28.1 | 10.7 | 4.2 | 2.1 | 1.3 | 0.3 | 2.4 | 10.2 | 5.9 | -74 | -2.1 | -2.1 | 37.5 | 31.8 | 76.0 | 0.05 | 47.0 | 42.5 |
| Maunayia Harrigfeld | - | 28 | 25.7 | 8.2 | 10.1 | 2.1 | 1.5 | 1.8 | 2.3 | 7.4 | 14.1 | 2 | 0.1 | 0.1 | 41.7 | 27.6 | 76.8 | 0.03 | 50.1 | 45.6 |
| Abby Conlee | - | 28 | 20.1 | 6.5 | 3.2 | 1.0 | 0.2 | 0.4 | 1.5 | 5.4 | 4.3 | -14 | -0.7 | -0.8 | 44.1 | 31.2 | 73.7 | -0.18 | 53.9 | 50.7 |
| Maia Rhay | - | 28 | 21.0 | 6.4 | 2.9 | 1.6 | 1.1 | 0.4 | 2.3 | 8.0 | 2.2 | 41 | 1.7 | 2.1 | 31.6 | 20.5 | 66.7 | 0.56 | 37.6 | 35.3 |
| Nisa Ellis | - | 28 | 19.8 | 5.6 | 4.0 | 0.7 | 0.3 | 0.1 | 1.7 | 6.1 | 3.0 | 38 | 1.1 | 1.8 | 36.5 | 0.0 | 64.7 | 0.82 | 40.8 | 36.5 |
| Za'kkria Robinson | - | 28 | 11.0 | 5.2 | 2.8 | 0.4 | 0.4 | 0.1 | 1.3 | 4.7 | 2.8 | 18 | 0.9 | 1.7 | 44.7 | 0.0 | 58.3 | 0.25 | 47.7 | 44.7 |
| Olivia Tausinga | - | 28 | 13.4 | 3.9 | 1.5 | 0.6 | 0.6 | 0.0 | 1.3 | 5.4 | -0.2 | 6 | 0.3 | 0.5 | 26.5 | 27.7 | 55.6 | -0.03 | 34.0 | 32.5 |
| Kayla Javillo | - | 28 | 17.5 | 2.9 | 0.7 | 0.9 | 0.1 | 0.0 | 1.3 | 3.8 | -0.5 | 7 | 0.3 | 0.4 | 28.3 | 23.7 | 50.0 | 0.12 | 37.3 | 36.8 |
| Lime Okada | - | 28 | 17.2 | 2.6 | 1.1 | 1.5 | 0.6 | 0.1 | 1.2 | 3.7 | 1.0 | 0 | 0.0 | 0.0 | 31.7 | 12.5 | 60.0 | 0.15 | 34.1 | 32.7 |
| Marli Reed | - | 28 | 13.6 | 2.4 | 1.7 | 0.6 | 0.3 | 0.0 | 0.8 | 2.4 | 1.8 | 8 | 0.2 | 0.6 | 35.3 | 31.7 | 58.3 | -0.13 | 46.4 | 44.9 |
| Matehya Aberle | - | 19 | 3.3 | 1.1 | 0.2 | 0.3 | 0.1 | 0.1 | 0.3 | 1.2 | 0.2 | -4 | -0.4 | -1.3 | 40.9 | 0 | 50.0 | -0.17 | 42.1 | 40.9 |
| Savanna Staff | - | 27 | 5.0 | 0.1 | 0.6 | 0.3 | 0.1 | 0.0 | 0.5 | 0.6 | 0.1 | -70 | -2.8 | -8.5 | 6.7 | 0.0 | 0 | -0.71 | 6.7 | 6.7 |
| Mia Auclaire | - | 1 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | -5.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Cierra Turner | - | 21 | 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