Model Outputs
2025-2026
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 → | 1043 (#140) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1106 (#85) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1019 (#258) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +22.4 (#74) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.999 (#45) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.999 (#45) | NetEff +49.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.999 (#19) | AdjNet +55.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#24) | AdjNet +54.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.955 (#32) | AdjO 79.5 | AdjD 45.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.713 (#76) | AdjO 67.8 | AdjD 57.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.891 (#35) | 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 → | 0.869 (#44) | Blend of Elo, BT, Margin, PythLog, PtsOD |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ryann Bennett | - | 2 | 30.0 | 16.5 | 3.0 | 2.5 | 0.5 | 0.0 | 4.5 | 11.5 | 6.5 | - | - | - | 52.2 | 37.5 | 75.0 | - | 66.6 | 65.2 |
| Megan Norris | - | 2 | 29.6 | 11.5 | 15.0 | 2.5 | 1.0 | 4.5 | 0.5 | 7.0 | 27.0 | - | - | - | 64.3 | 71.4 | 0 | - | 82.1 | 82.1 |
| Nya Epps | - | 2 | 27.2 | 9.5 | 2.0 | 1.5 | 0.0 | 0.0 | 1.5 | 12.5 | -1.0 | - | - | - | 36.0 | 0.0 | 50.0 | - | 36.7 | 36.0 |
| Tegan Young | - | 2 | 25.9 | 9.0 | 7.0 | 2.0 | 0.5 | 1.0 | 1.0 | 6.5 | 12.0 | - | - | - | 53.8 | 40.0 | 0.0 | - | 67.0 | 69.2 |
| Emmy Ersdala | - | 2 | 16.1 | 8.0 | 4.5 | 0.5 | 1.0 | 0.0 | 0.0 | 5.5 | 8.5 | - | - | - | 45.5 | 37.5 | 75.0 | - | 62.7 | 59.1 |
| Avery Sussex | - | 2 | 25.1 | 7.5 | 7.5 | 5.0 | 0.0 | 0.0 | 2.0 | 8.5 | 9.5 | - | - | - | 35.3 | 25.0 | 0 | - | 44.1 | 44.1 |
| Victoria Baker | - | 1 | 13.8 | 7.0 | 4.0 | 1.0 | 1.0 | 0.0 | 0.0 | 7.0 | 6.0 | - | - | - | 42.9 | 20.0 | 0 | - | 50.0 | 50.0 |
| Carrington Davis | - | 2 | 11.1 | 3.5 | 4.0 | 0.5 | 2.0 | 0.0 | 0.5 | 5.0 | 4.5 | -82 | -4.1 | -58.9 | 30.0 | 0 | 100.0 | -0.77 | 33.5 | 30.0 |
| Sophie Lentfer | - | 2 | 15.1 | 3.0 | 3.5 | 1.0 | 1.5 | 0.0 | 0.5 | 4.0 | 4.5 | - | - | - | 12.5 | 0.0 | 80.0 | - | 29.4 | 12.5 |
| Sahana Kanagasabay | - | 1 | 6.3 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Theoni Tsami | - | 2 | 9.8 | 0.0 | 5.0 | 0.5 | 0.0 | 0.0 | 0.5 | 2.5 | 2.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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