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 → | 968 (#369) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 963 (#328) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 994 (#431) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.9 (#249) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.203 (#487) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.148 (#559) | AdjNet -15.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.146 (#559) | AdjNet -15.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.296 (#560) | AdjO 45.9 | AdjD 55.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.524 (#301) | AdjO 63.9 | AdjD 62.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.562 (#301) | 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 → | 0.547 (#307) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 919 (#349) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S. Jones | - | 1 | 37.5 | 22.0 | 2.0 | 6.0 | 3.0 | 0.0 | 4.0 | 16.0 | 13.0 | -20 | -1.0 | -11.5 | 56.2 | 16.7 | 75.0 | 0.18 | 61.9 | 59.4 |
| G. Garner | - | 1 | 27.5 | 11.0 | 1.0 | 1.0 | 2.0 | 0.0 | 6.0 | 6.0 | 3.0 | - | - | - | 66.7 | 60.0 | 0.0 | - | 79.9 | 91.7 |
| Unique Miller | - | 1 | 27.3 | 11.0 | 12.0 | 1.0 | 0.0 | 0.0 | 1.0 | 11.0 | 12.0 | - | - | - | 45.5 | 0.0 | 50.0 | - | 46.3 | 45.5 |
| T. Cawthon | - | 1 | 38.1 | 8.0 | 5.0 | 3.0 | 1.0 | 1.0 | 4.0 | 10.0 | 4.0 | - | - | - | 20.0 | 0 | 80.0 | - | 32.8 | 20.0 |
| K. reynoso | - | 1 | 8.8 | 7.0 | 2.0 | 0.0 | 1.0 | 0.0 | 3.0 | 6.0 | 1.0 | - | - | - | 33.3 | 33.3 | 100.0 | - | 50.9 | 41.7 |
| M. Payton | - | 1 | 15.9 | 4.0 | 5.0 | 1.0 | 0.0 | 0.0 | 3.0 | 5.0 | 2.0 | - | - | - | 40.0 | 0.0 | 0 | - | 40.0 | 40.0 |
| M. Gray | - | 1 | 17.5 | 2.0 | 3.0 | 2.0 | 1.0 | 0.0 | 1.0 | 1.0 | 6.0 | 73 | 4.3 | 70.0 | 0.0 | 0 | 50.0 | 1.73 | 36.2 | 0.0 |
| Shamiah Sullivan | - | 1 | 12.2 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| P. Johnson | - | 1 | 10.6 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Lauren Bennett | - | 1 | 4.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 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