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 → | 1079 (#184) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1009 (#369) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.5 (#208) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.994 (#146) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.994 (#96) | AdjNet +44.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.995 (#100) | AdjNet +43.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.921 (#111) | AdjO 76.6 | AdjD 49.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.615 (#214) | AdjO 66.5 | AdjD 61.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.726 (#185) | 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 → | 0.697 (#218) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1069 (#231) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-10 | vs | St. Thomas (TX) | W | 86 - 72 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jorja Elliott | - | 1 | 35.8 | 28.0 | 8.0 | 3.0 | 3.0 | 3.0 | 3.0 | 14.0 | 28.0 | -14 | -1.2 | -31.4 | 78.6 | 57.1 | 50.0 | 0.29 | 88.8 | 92.9 |
| Brynn Lusby | - | 1 | 18.6 | 16.0 | 5.0 | 0.0 | 0.0 | 0.0 | 2.0 | 9.0 | 10.0 | - | - | - | 66.7 | 0 | 80.0 | - | 71.4 | 66.7 |
| Destiny Whitaker | - | 1 | 26.1 | 13.0 | 9.0 | 1.0 | 0.0 | 0.0 | 0.0 | 10.0 | 13.0 | - | - | - | 40.0 | 60.0 | 66.7 | - | 57.4 | 55.0 |
| Gwendlyn McGrew | - | 1 | 14.2 | 11.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 7.0 | 3.0 | - | - | - | 57.1 | 33.3 | 66.7 | - | 66.1 | 64.3 |
| Madison Cockrell | - | 1 | 32.5 | 7.0 | 5.0 | 9.0 | 1.0 | 1.0 | 6.0 | 6.0 | 11.0 | - | - | - | 50.0 | 0 | 33.3 | - | 47.8 | 50.0 |
| Mallory McQuietor | - | 1 | 22.6 | 4.0 | 3.0 | 1.0 | 2.0 | 1.0 | 1.0 | 0.0 | 10.0 | - | - | - | 0 | 0 | 66.7 | - | 75.8 | 0 |
| Londyn Oliphant | - | 1 | 7.5 | 3.0 | 2.0 | 2.0 | 0.0 | 1.0 | 3.0 | 1.0 | 4.0 | - | - | - | 0.0 | 0 | 75.0 | - | 54.3 | 0.0 |
| Raimi McCrary | - | 1 | 14.4 | 2.0 | 7.0 | 0.0 | 1.0 | 1.0 | 0.0 | 3.0 | 8.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
| Madison Williams | - | 1 | 26.4 | 2.0 | 2.0 | 1.0 | 1.0 | 0.0 | 4.0 | 5.0 | -3.0 | 180 | 10.0 | 98.6 | 20.0 | 0.0 | 0 | 4.72 | 20.0 | 20.0 |
| Martina Monton Martinez | - | 1 | 2.1 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -9 | -0.5 | -9.4 | 0 | 0 | 0 | 1.68 | 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