Purdue Northwest
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 → | 935 (#292) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 921 (#273) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.6 (#258) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.104 (#534) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.054 (#348) | NetEff -23.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.483 (#414) | AdjNet -0.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.499 (#410) | AdjNet -0.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.468 (#438) | AdjO 69.0 | AdjD 70.4 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alyssa Cole | - | 28 | 31.9 | 13.6 | 7.0 | 2.1 | 1.0 | 0.1 | 2.7 | 10.1 | 10.9 | -91 | -2.5 | -2.5 | 48.6 | 32.9 | 86.3 | -0.4 | 58.5 | 52.6 |
| Akyia Baker | - | 28 | 24.6 | 10.0 | 2.8 | 2.4 | 1.3 | 0.1 | 2.4 | 10.8 | 3.3 | -80 | -2.9 | -3.4 | 35.0 | 32.3 | 62.8 | -0.44 | 43.5 | 41.7 |
| Nessa Walsh | - | 26 | 25.0 | 9.0 | 5.2 | 3.7 | 1.7 | 0.3 | 2.8 | 9.4 | 7.8 | -53 | -2.1 | -2.6 | 40.6 | 20.8 | 65.3 | -0.26 | 44.2 | 41.6 |
| Kaylen Evans | - | 23 | 18.7 | 8.8 | 1.6 | 1.0 | 1.1 | 0.0 | 1.2 | 8.3 | 3.1 | -31 | -1.3 | -2.0 | 40.0 | 31.5 | 65.7 | -0.21 | 49.4 | 47.4 |
| Cherrelle Newsom | - | 28 | 26.1 | 7.9 | 1.3 | 1.0 | 0.6 | 0.0 | 0.7 | 7.6 | 2.5 | -37 | -1.3 | -2.1 | 34.3 | 36.1 | 83.3 | -0.03 | 50.9 | 49.8 |
| Thaya Luse | - | 27 | 22.1 | 4.4 | 3.8 | 1.2 | 0.9 | 0.2 | 0.9 | 3.2 | 6.4 | -1 | -0.0 | -0.0 | 49.4 | 33.3 | 71.8 | 0.55 | 57.1 | 52.3 |
| Ciara Sims | - | 27 | 9.5 | 4.0 | 2.0 | 0.5 | 0.4 | 0.0 | 1.0 | 4.6 | 1.4 | -46 | -1.5 | -2.9 | 34.4 | 30.6 | 84.6 | -0.1 | 41.3 | 38.8 |
| Riley Milausnic | - | 28 | 11.6 | 2.8 | 1.1 | 0.3 | 0.4 | 0.1 | 1.0 | 3.1 | 0.6 | -40 | -1.1 | -2.2 | 25.6 | 28.8 | 79.2 | 0.09 | 40.4 | 34.3 |
| Zoe Spellman | - | 7 | 7.4 | 2.6 | 2.6 | 0.6 | 0.1 | 0.3 | 1.0 | 2.9 | 2.3 | 15 | 1.2 | 3.4 | 35.0 | 0 | 50.0 | 0.04 | 38.3 | 35.0 |
| Aniyah Bishop | - | 21 | 15.8 | 2.4 | 2.2 | 0.3 | 0.5 | 0.3 | 1.0 | 2.2 | 2.4 | -14 | -0.5 | -0.9 | 36.2 | 0.0 | 55.2 | 0.04 | 41.8 | 36.2 |
| Sophia Remmel | - | 27 | 9.4 | 2.0 | 1.0 | 0.7 | 0.7 | 0.0 | 1.3 | 2.5 | 0.7 | -28 | -0.9 | -2.2 | 26.9 | 24.1 | 100.0 | -0.04 | 38.0 | 32.1 |
| Takiya Howard | - | 28 | 6.7 | 1.7 | 1.4 | 0.1 | 0.2 | 0.1 | 0.5 | 2.0 | 1.1 | -52 | -2.5 | -6.7 | 19.6 | 15.4 | 67.6 | -0.41 | 33.1 | 21.4 |
| Cameryn Phillips | - | 27 | 1.9 | 0.3 | 0.2 | 0.1 | 0.1 | 0.0 | 0.2 | 0.6 | -0.1 | 28 | 1.2 | 2.3 | 20.0 | 11.1 | 0 | 0.45 | 23.3 | 23.3 |
| Nadia Clayton | - | 27 | 1.4 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.3 | 0.3 | -0.0 | -19 | -1.2 | -7.0 | 12.5 | 0.0 | 50.0 | -0.03 | 16.9 | 12.5 |
| Kylie Schmidt | - | 4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100 | 2.6 | 4.6 | 0 | 0 | 0 | 0.18 | 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