Berkeley (NY)
Model Outputs
2025-2026
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 → | 1021 (#299) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1006 (#397) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -15.1 (#557) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.968 (#181) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.959 (#124) | NetEff +14.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.031 (#629) | AdjNet -29.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.024 (#634) | AdjNet -31.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.140 (#636) | AdjO 48.1 | AdjD 68.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.469 (#435) | AdjO 58.5 | AdjD 59.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.306 (#523) | 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 → | 0.334 (#508) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1082 (#204) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Arianna Wilder | - | 1 | 23.0 | 11.0 | 5.0 | 3.0 | 1.0 | 0.0 | 1.0 | 11.0 | 8.0 | - | - | - | 36.4 | 50.0 | 50.0 | - | 46.3 | 45.5 |
| Aliyah Carroll | - | 1 | 29.4 | 9.0 | 8.0 | 0.0 | 1.0 | 1.0 | 3.0 | 9.0 | 7.0 | - | - | - | 33.3 | 50.0 | 50.0 | - | 41.8 | 38.9 |
| Nyeira Spady | - | 1 | 30.3 | 7.0 | 13.0 | 2.0 | 5.0 | 5.0 | 3.0 | 11.0 | 18.0 | - | - | - | 27.3 | 0 | 50.0 | - | 29.5 | 27.3 |
| Ariella Johnson | - | 1 | 31.4 | 7.0 | 9.0 | 3.0 | 3.0 | 1.0 | 8.0 | 12.0 | 3.0 | 25 | 1.2 | 8.6 | 25.0 | 0.0 | 33.3 | 1.91 | 26.3 | 25.0 |
| Devian Meyers | - | 1 | 31.9 | 6.0 | 7.0 | 1.0 | 2.0 | 0.0 | 1.0 | 12.0 | 3.0 | - | - | - | 16.7 | 0.0 | 100.0 | - | 23.3 | 16.7 |
| Wy-Asia Montgomery | - | 1 | 20.7 | 6.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 6.0 | 2.0 | - | - | - | 33.3 | 66.7 | 0 | - | 50.0 | 50.0 |
| Aliyah Smith | - | 1 | 7.8 | 2.0 | 2.0 | 0.0 | 1.0 | 0.0 | 2.0 | 2.0 | 1.0 | 16 | 0.9 | 6.1 | 50.0 | 0 | 0 | 3.61 | 50.0 | 50.0 |
| Anastasia Davis | - | 1 | 25.5 | 2.0 | 6.0 | 1.0 | 3.0 | 0.0 | 2.0 | 10.0 | 0.0 | 81 | 4.8 | 52.0 | 10.0 | 0.0 | 0 | 1.17 | 10.0 | 10.0 |
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