Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
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 → | 1082 (#181) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1025 (#267) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -4.6 (#428) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.263 (#554) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.033 (#626) | AdjNet -29.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.030 (#622) | AdjNet -29.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.149 (#629) | AdjO 49.0 | AdjD 68.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.476 (#427) | AdjO 63.1 | AdjD 64.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.460 (#409) | 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 → | 0.470 (#410) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1113 (#138) | RD 313 | GP 2 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MACEY BOWMAN | - | 1 | 38.0 | 20.0 | 7.0 | 5.0 | 3.0 | 0.0 | 3.0 | 18.0 | 14.0 | - | - | - | 38.9 | 50.0 | 50.0 | -0.4 | 50.6 | 50.0 |
| FAITHE JOHNSTONE | - | 1 | 33.0 | 12.0 | 13.0 | 8.0 | 0.0 | 1.0 | 9.0 | 9.0 | 16.0 | - | - | - | 66.7 | 0 | 0.0 | -0.35 | 63.6 | 66.7 |
| OLIVIA DELK | - | 1 | 28.0 | 8.0 | 2.0 | 2.0 | 0.0 | 0.0 | 2.0 | 10.0 | 0.0 | - | - | - | 40.0 | 0.0 | 0 | -0.35 | 40.0 | 40.0 |
| SERENITY SMITH | - | 1 | 19.0 | 5.0 | 2.0 | 1.0 | 0.0 | 0.0 | 5.0 | 4.0 | -1.0 | 95 | 5.3 | 8.1 | 50.0 | 50.0 | 0 | 0.54 | 62.5 | 62.5 |
| CAROLINE WATTS | - | 1 | 30.0 | 3.0 | 4.0 | 2.0 | 1.0 | 1.0 | 3.0 | 4.0 | 4.0 | - | - | - | 25.0 | 33.3 | 0 | -0.3 | 37.5 | 37.5 |
| KARILYN WIETING | - | 1 | 33.0 | 3.0 | 9.0 | 0.0 | 0.0 | 0.0 | 6.0 | 8.0 | -2.0 | - | - | - | 12.5 | 25.0 | 0 | -0.37 | 18.8 | 18.8 |
| JAHLEH SCOTT | - | 1 | 19.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | -5.0 | - | - | - | 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