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 → | 982 (#309) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 955 (#343) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 962 (#542) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -11.8 (#534) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.246 (#469) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.500 (#277) | NetEff +0.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.204 (#526) | AdjNet -11.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.206 (#523) | AdjNet -11.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.323 (#527) | AdjO 64.2 | AdjD 72.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.485 (#399) | AdjO 67.0 | AdjD 67.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.348 (#488) | 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 → | 0.383 (#469) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 854 (#430) | RD 350 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Emilie Ngo | - | 2 | 40.0 | 18.5 | 6.5 | 7.5 | 2.0 | 0.0 | 5.0 | 20.0 | 9.5 | - | - | - | 30.0 | 0.0 | 81.2 | - | 39.3 | 30.0 |
| Alexa Litchev | - | 1 | 22.8 | 16.0 | 3.0 | 1.0 | 2.0 | 0.0 | 2.0 | 11.0 | 9.0 | - | - | - | 36.4 | 0.0 | 72.7 | - | 50.5 | 36.4 |
| Sarah Reuter | - | 2 | 38.1 | 15.5 | 11.0 | 0.5 | 1.0 | 0.5 | 2.5 | 10.5 | 15.5 | - | - | - | 61.9 | 0 | 41.7 | - | 59.0 | 61.9 |
| Claire Galbo | - | 2 | 34.0 | 14.5 | 5.5 | 1.5 | 1.0 | 0.0 | 3.5 | 9.5 | 9.5 | - | - | - | 42.1 | 50.0 | 85.7 | - | 65.7 | 60.5 |
| Alyssa Jackson | - | 2 | 36.0 | 11.5 | 5.0 | 1.0 | 1.0 | 0.5 | 2.5 | 12.5 | 4.0 | 61 | 2.9 | 21.0 | 28.0 | 29.4 | 100.0 | 0.82 | 43.0 | 38.0 |
| Bria Tate | - | 2 | 23.7 | 6.5 | 2.5 | 1.5 | 2.0 | 0.0 | 1.5 | 7.0 | 4.0 | - | - | - | 35.7 | 33.3 | 100.0 | - | 45.0 | 42.9 |
| Danielle Tyner | - | 2 | 28.2 | 5.0 | 9.5 | 1.0 | 0.5 | 1.0 | 1.5 | 4.0 | 11.5 | - | - | - | 62.5 | 0 | 0 | - | 62.5 | 62.5 |
| Lia Papador | - | 2 | 0.9 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | -0.5 | - | - | - | 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