UAH
Also known as: UAH
Program History
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1067 (#208) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1024 (#271) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +46.5 (#35) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#107) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.997 (#78) | AdjNet +48.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.997 (#81) | AdjNet +47.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.946 (#89) | AdjO 77.6 | AdjD 46.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.857 (#32) | AdjO 72.9 | AdjD 53.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.946 (#31) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.935 (#31) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1118 (#138) | RD 263 | GP 1 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ava McSwain | - | 1 | 23.6 | 16.0 | 7.0 | 0.0 | 0.0 | 0.0 | 2.0 | 16.0 | 5.0 | - | - | - | 43.8 | 50.0 | 0 | - | 50.0 | 50.0 |
| Mia Hollingsworth | - | 1 | 24.2 | 15.0 | 5.0 | 2.0 | 2.0 | 1.0 | 3.0 | 10.0 | 12.0 | - | - | - | 60.0 | 60.0 | 0 | - | 75.0 | 75.0 |
| Lili Wilken | - | 1 | 17.1 | 10.0 | 3.0 | 3.0 | 4.0 | 0.0 | 1.0 | 7.0 | 12.0 | - | - | - | 42.9 | 50.0 | 75.0 | - | 57.1 | 50.0 |
| Bella White | - | 1 | 18.8 | 9.0 | 3.0 | 2.0 | 3.0 | 2.0 | 2.0 | 7.0 | 10.0 | 4 | 1.0 | 41.6 | 42.9 | 0.0 | 75.0 | -0.35 | 51.4 | 42.9 |
| Mckenzie Percoski | - | 1 | 15.7 | 8.0 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 7.0 | 5.0 | - | - | - | 57.1 | 0 | 0 | - | 57.1 | 57.1 |
| Chloe Siegel | - | 1 | 20.6 | 6.0 | 3.0 | 6.0 | 1.0 | 0.0 | 2.0 | 5.0 | 9.0 | - | - | - | 40.0 | 40.0 | 0 | - | 60.0 | 60.0 |
| Millie Brown | - | 1 | 20.6 | 6.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 3.0 | 9.0 | -58 | -2.1 | -26.6 | 66.7 | 66.7 | 0 | 0.75 | 100.0 | 100.0 |
| Ivey Maddox | - | 1 | 16.4 | 5.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 4.0 | 6.0 | - | - | - | 50.0 | 50.0 | 0 | - | 62.5 | 62.5 |
| Paris Opelt | - | 1 | 16.7 | 5.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 8.0 | - | - | - | 50.0 | 100.0 | 0 | - | 62.5 | 62.5 |
| Grace Lynch | - | 1 | 11.5 | 4.0 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 4.0 | 4.0 | - | - | - | 25.0 | 33.3 | 50.0 | - | 41.0 | 37.5 |
| Danika Starr | - | 1 | 14.7 | 0.0 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 4.0 | - | - | - | 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