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 |
|---|---|---|
| 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 → | 0.892 (#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 (#43) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1198 (#46) | RD 314 | GP 2 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-06 | vs | Academy of Art | W | 102 - 52 |
| 2023-12-05 | vs | Jessup | W | 79 - 40 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tova Sabel | - | 2 | 23.5 | 22.0 | 3.5 | 2.5 | 0.0 | 0.0 | 0.5 | 16.0 | 11.5 | - | - | - | 53.1 | 41.2 | 100.0 | - | 66.0 | 64.1 |
| Evanne Turner | - | 2 | 29.5 | 17.0 | 5.0 | 5.0 | 1.5 | 0.0 | 1.5 | 11.0 | 16.0 | - | - | - | 54.5 | 46.7 | 75.0 | - | 71.5 | 70.5 |
| Lena Svanholm | - | 1 | 17.0 | 14.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | 9.0 | - | - | - | 85.7 | 100.0 | 50.0 | - | 88.8 | 92.9 |
| Megan Norris | - | 2 | 22.0 | 13.0 | 11.5 | 2.0 | 0.5 | 0.5 | 1.5 | 9.0 | 17.0 | - | - | - | 61.1 | 66.7 | 50.0 | 0.34 | 65.8 | 66.7 |
| Victoria Baker | - | 1 | 16.0 | 11.0 | 6.0 | 1.0 | 2.0 | 0.0 | 1.0 | 11.0 | 8.0 | - | - | - | 36.4 | 40.0 | 50.0 | - | 46.3 | 45.5 |
| Bria Shine | - | 2 | 18.0 | 6.5 | 5.0 | 0.0 | 1.0 | 0.5 | 2.5 | 5.0 | 5.5 | - | - | - | 50.0 | 42.9 | 0.0 | - | 59.7 | 65.0 |
| Mazatlan Harris | - | 2 | 19.5 | 6.0 | 3.5 | 2.0 | 0.5 | 0.0 | 0.0 | 4.5 | 7.5 | - | - | - | 44.4 | 44.4 | 0 | - | 66.7 | 66.7 |
| Nya Epps | - | 2 | 17.0 | 5.0 | 2.5 | 1.5 | 1.0 | 0.0 | 2.5 | 5.0 | 2.5 | - | - | - | 40.0 | 33.3 | 50.0 | - | 46.0 | 45.0 |
| Sydney Burns | - | 2 | 25.0 | 3.5 | 4.0 | 8.5 | 1.5 | 0.0 | 3.5 | 2.0 | 12.0 | 35 | 2.5 | 4.4 | 50.0 | 33.3 | 100.0 | 0.27 | 71.7 | 62.5 |
| Clara Glad | - | 2 | 8.5 | 2.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.5 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
| Ally Fitzgerald | - | 2 | 7.0 | 2.0 | 3.5 | 1.0 | 0.5 | 1.0 | 0.5 | 2.5 | 5.0 | - | - | - | 40.0 | 0.0 | 0 | - | 40.0 | 40.0 |
| Campbell Gray | - | 2 | 12.5 | 1.0 | 3.5 | 3.0 | 1.0 | 0.0 | 2.5 | 1.5 | 4.5 | - | - | - | 0.0 | 0.0 | 100.0 | - | 25.8 | 0.0 |
| Theoni Tsami | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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