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 → | 1086 (#69) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1097 (#82) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.9 (#31) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.705 (#289) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.710 (#160) | NetEff +7.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.951 (#150) | AdjNet +25.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.956 (#153) | AdjNet +26.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.825 (#147) | AdjO 75.8 | AdjD 58.7 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bergen Kinnebrew | - | 27 | 28.6 | 15.5 | 4.0 | 1.9 | 1.3 | 0.3 | 2.8 | 12.5 | 7.8 | 67 | 1.7 | 1.9 | 38.8 | 35.2 | 84.4 | 0.06 | 52.4 | 44.4 |
| Chloe Pfau | - | 28 | 24.8 | 8.8 | 3.6 | 1.6 | 1.8 | 0.4 | 1.8 | 8.6 | 5.9 | 25 | 0.6 | 0.7 | 35.0 | 32.4 | 71.7 | -0.05 | 47.1 | 44.2 |
| Ryleigh Wacha | - | 28 | 23.7 | 8.1 | 5.5 | 2.3 | 1.6 | 0.2 | 2.3 | 7.3 | 8.1 | -42 | -1.6 | -2.5 | 43.4 | 34.2 | 46.8 | -0.19 | 50.1 | 49.8 |
| Moriku Hakim | - | 28 | 15.6 | 7.6 | 6.3 | 0.9 | 0.6 | 0.6 | 1.6 | 6.0 | 8.4 | -28 | -1.0 | -2.0 | 45.0 | 0 | 61.4 | -0.03 | 50.1 | 45.0 |
| Emily Jaenke | - | 28 | 15.6 | 6.8 | 1.0 | 0.6 | 0.5 | 0.1 | 1.2 | 6.2 | 1.5 | -2 | -0.1 | -0.1 | 37.4 | 35.0 | 76.9 | -0.06 | 52.6 | 51.4 |
| Addison Rozell | - | 28 | 21.6 | 5.5 | 6.1 | 1.0 | 0.7 | 1.6 | 0.8 | 4.3 | 9.8 | -22 | -0.8 | -1.1 | 49.6 | 25.0 | 66.0 | 0.06 | 54.3 | 50.8 |
| Eden Fridley | - | 28 | 26.0 | 4.8 | 2.0 | 2.2 | 1.0 | 0.4 | 1.8 | 5.8 | 2.8 | 57 | 1.4 | 1.7 | 28.2 | 26.5 | 95.2 | -0.26 | 38.9 | 35.0 |
| Anna Lenzen | - | 28 | 15.2 | 4.4 | 2.4 | 0.6 | 0.6 | 0.1 | 1.1 | 3.7 | 3.5 | -18 | -0.4 | -0.6 | 40.8 | 35.7 | 73.2 | -0.14 | 51.2 | 45.6 |
| Ava Interrante | - | 28 | 18.5 | 4.2 | 3.4 | 1.9 | 0.8 | 0.0 | 2.1 | 4.8 | 3.4 | -45 | -1.7 | -2.7 | 29.6 | 21.4 | 65.8 | -0.1 | 38.6 | 34.1 |
| Allison Undlin | - | 26 | 3.1 | 1.1 | 0.7 | 0.2 | 0.0 | 0.2 | 0.2 | 1.2 | 0.7 | 29 | 1.1 | 2.0 | 40.6 | 16.7 | 100.0 | 0.16 | 44.1 | 42.2 |
| Cassie Erickson | - | 27 | 1.9 | 0.6 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.5 | 0.4 | 71 | 2.6 | 9.8 | 50.0 | 33.3 | 50.0 | 0.42 | 53.9 | 53.6 |
| Zoe Velde | - | 28 | 2.2 | 0.6 | 0.4 | 0.4 | 0.1 | 0.1 | 0.1 | 0.7 | 0.8 | 6 | 0.4 | 3.6 | 31.6 | 30.0 | 50.0 | 0.03 | 40.9 | 39.5 |
| Brenna Dick | - | 27 | 1.1 | 0.3 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.3 | 0.0 | 44 | 2.6 | 17.1 | 33.3 | 28.6 | 0 | 0.24 | 44.4 | 44.4 |
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