Old Westbury
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 → | 900 (#403) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 741 (#563) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 728 (#719) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -49.7 (#426) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -42.4 (#703) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.000 (#746) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.003 (#574) | NetEff -34.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#755) | AdjNet -88.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#754) | AdjNet -91.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.008 (#755) | AdjO 31.9 | AdjD 84.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.052 (#721) | AdjO 38.0 | AdjD 70.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.014 (#722) | 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 → | 0.016 (#723) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 582 (#569) | RD 115 | GP 18 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-12 | vs | CCNY | W | 43 - 39 |
| 2025-11-19 | vs | Merchant Marine | L | 37 - 79 |
| 2025-11-22 | @ | Purchase | L | 39 - 63 |
| 2025-11-25 | vs | Mt. St. Mary (NY) | L | 26 - 72 |
| 2025-12-03 | vs | St. Joseph's (Brkln) | L | 54 - 75 |
| 2025-12-09 | @ | St. Joseph's (L.I.) | L | 29 - 55 |
| 2025-12-13 | @ | Farmingdale St. | L | 48 - 66 |
| 2025-12-15 | vs | Medgar Evers | L | 34 - 55 |
| 2026-01-13 | @ | Manhattanville | L | 24 - 81 |
| 2026-01-17 | vs | St. Joseph's (L.I.) | L | 32 - 70 |
| 2026-01-21 | @ | Merchant Marine | L | 21 - 95 |
| 2026-01-24 | vs | Purchase | L | 42 - 66 |
| 2026-01-28 | @ | Mt. St. Mary (NY) | L | 48 - 98 |
| 2026-01-31 | vs | Sarah Lawrence | L | 64 - 84 |
| 2026-02-04 | @ | UMSV | L | 53 - 68 |
| 2026-02-08 | vs | Yeshiva | L | 13 - 22 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Endya Greene | - | 8 | 32.2 | 20.1 | 5.4 | 1.2 | 3.6 | 0.4 | 3.2 | 22.2 | 5.2 | -94 | -10.4 | -28.8 | 33.7 | 23.0 | 62.8 | -1.2 | 40.9 | 37.6 |
| Kasey Coppola | - | 7 | 38.7 | 10.0 | 10.1 | 0.6 | 1.4 | 1.0 | 1.7 | 11.0 | 10.4 | - | - | - | 37.7 | 27.3 | 75.0 | - | 42.5 | 39.6 |
| Brianna Belizaire | - | 1 | 22.0 | 8.0 | 3.0 | 1.0 | 2.0 | 1.0 | 1.0 | 6.0 | 8.0 | - | - | - | 50.0 | 0 | 100.0 | - | 58.1 | 50.0 |
| Korrina Plair | - | 8 | 37.8 | 7.8 | 9.9 | 0.8 | 1.1 | 1.8 | 3.5 | 9.5 | 8.2 | -115 | -14.4 | -34.9 | 32.9 | 0 | 60.0 | -0.15 | 36.6 | 32.9 |
| Aissata Kone | - | 12 | 31.1 | 6.6 | 4.8 | 1.8 | 1.5 | 0.5 | 6.1 | 8.6 | 0.5 | -84 | -7.6 | -31.0 | 26.2 | 0.0 | 56.8 | -2.04 | 32.3 | 26.2 |
| Thalia Fowler | - | 9 | 24.9 | 6.4 | 5.0 | 1.4 | 1.6 | 0.6 | 1.9 | 8.1 | 5.0 | -58 | -5.8 | -43.6 | 26.0 | 27.3 | 66.7 | -1.47 | 35.3 | 30.1 |
| Brianne Belizaire | - | 5 | 30.3 | 5.6 | 11.0 | 0.4 | 3.2 | 1.0 | 4.6 | 7.6 | 9.0 | - | - | - | 18.4 | 0.0 | 60.9 | - | 29.1 | 18.4 |
| Sakhmet Lewis | - | 16 | 32.1 | 4.4 | 4.7 | 1.6 | 0.9 | 0.2 | 4.8 | 7.5 | -0.5 | -199 | -11.7 | -62.0 | 15.0 | 16.2 | 56.0 | -0.47 | 24.6 | 17.5 |
| Makaylah Frazier | - | 2 | 21.2 | 3.0 | 2.5 | 3.0 | 1.5 | 0.0 | 4.5 | 6.0 | -0.5 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| Kayla Chappelle | - | 8 | 26.7 | 2.8 | 1.4 | 0.4 | 0.6 | 0.0 | 1.5 | 4.2 | -0.6 | -103 | -11.4 | -58.9 | 26.5 | 21.4 | 25.0 | -2.95 | 30.8 | 30.9 |
| Moneasia McCloud | - | 12 | 13.6 | 2.6 | 2.5 | 0.3 | 0.3 | 0.2 | 0.8 | 2.8 | 2.4 | -87 | -6.7 | -785.0 | 39.4 | 0 | 41.7 | -1.21 | 40.5 | 39.4 |
| Sonasia Walker | - | 16 | 29.6 | 2.4 | 2.4 | 0.4 | 1.4 | 0.2 | 3.2 | 5.0 | -1.4 | -231 | -14.4 | -97.3 | 18.8 | 0.0 | 39.1 | -5.1 | 21.6 | 18.8 |
| Kyla Moore | - | 8 | 21.9 | 2.0 | 2.1 | 2.0 | 1.1 | 0.1 | 4.2 | 3.8 | -0.6 | 59 | 2.8 | 21.6 | 16.7 | 15.4 | 66.7 | 0.32 | 24.5 | 20.0 |
| Angelica Medina Pena | - | 3 | 2.8 | 0.7 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 1.3 | -15 | -5.0 | -72.7 | 0.0 | 0 | 50.0 | -1.77 | 36.2 | 0.0 |
| Briana Davis | - | 1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Caragh Doyle | - | 5 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -1.38 | 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