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 → | 939 (#412) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 987 (#498) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -0.7 (#382) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.327 (#532) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.249 (#471) | AdjNet -9.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.239 (#469) | AdjNet -9.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.363 (#465) | AdjO 57.3 | AdjD 63.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.478 (#417) | AdjO 60.4 | AdjD 61.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.426 (#436) | 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 → | 0.443 (#421) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 893 (#422) | RD 350 | GP 1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ANTONIA PITTMAN | - | 1 | 36.0 | 18.0 | 2.0 | 5.0 | 2.0 | 0.0 | 6.0 | 10.0 | 11.0 | - | - | - | 50.0 | 50.0 | 50.0 | - | 62.5 | 65.0 |
| MIRIAL CANNON | - | 1 | 37.0 | 15.0 | 11.0 | 0.0 | 0.0 | 2.0 | 3.0 | 10.0 | 15.0 | - | - | - | 70.0 | 100.0 | 0 | - | 75.0 | 75.0 |
| SHAKIRA WILSON | - | 1 | 15.0 | 11.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0 | -1.0 | 21 | 3.5 | 10.1 | 25.0 | 30.0 | 100.0 | 0.32 | 42.7 | 37.5 |
| MATAEA BOYD | - | 1 | 27.0 | 10.0 | 3.0 | 2.0 | 5.0 | 0.0 | 1.0 | 11.0 | 8.0 | - | - | - | 27.3 | 20.0 | 100.0 | - | 40.6 | 31.8 |
| KY'LEO WORRIELS | - | 1 | 25.0 | 7.0 | 9.0 | 2.0 | 1.0 | 2.0 | 1.0 | 8.0 | 12.0 | - | - | - | 37.5 | 0 | 50.0 | - | 39.4 | 37.5 |
| SHANBRIAH RULE | - | 1 | 36.0 | 5.0 | 7.0 | 1.0 | 3.0 | 1.0 | 4.0 | 3.0 | 10.0 | - | - | - | 33.3 | 0 | 50.0 | - | 44.3 | 33.3 |
| DESTINEE ELLISON | - | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| LANEE EDWARDS | - | 1 | 16.0 | 0.0 | 3.0 | 2.0 | 0.0 | 0.0 | 1.0 | 1.0 | 3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| ANANDA HUGHLEY | - | 1 | 4.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | -2.0 | - | - | - | 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