Manhattanville
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 → | 1135 (#38) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1162 (#78) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1109 (#85) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.4 (#211) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +4.1 (#292) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.981 (#163) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.975 (#109) | NetEff +25.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.607 (#344) | AdjNet +3.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.614 (#338) | AdjNet +3.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.509 (#366) | AdjO 60.0 | AdjD 59.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.710 (#114) | AdjO 62.6 | AdjD 52.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.706 (#210) | 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 → | 0.718 (#193) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1156 (#104) | RD 115 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-09 | vs | SUNY Geneseo | L | 62 - 65 |
| 2025-11-12 | @ | Medgar Evers | W | 112 - 38 |
| 2025-11-14 | vs | Brooklyn | L | 66 - 72 |
| 2025-11-19 | @ | UMSV | W | 68 - 56 |
| 2025-11-22 | @ | Farmingdale St. | W | 74 - 56 |
| 2025-11-25 | @ | Sarah Lawrence | W | 64 - 54 |
| 2025-12-03 | vs | Merchant Marine | W | 62 - 61 |
| 2025-12-09 | vs | St. Joseph's (Brkln) | W | 88 - 63 |
| 2025-12-13 | @ | Mt. St. Mary (NY) | W | 63 - 58 |
| 2026-01-13 | vs | Old Westbury | W | 81 - 24 |
| 2026-01-15 | vs | Yeshiva | W | 78 - 47 |
| 2026-01-17 | @ | St. Joseph's (Brkln) | W | 83 - 52 |
| 2026-01-21 | vs | UMSV | W | 65 - 57 |
| 2026-01-24 | vs | Farmingdale St. | W | 74 - 41 |
| 2026-01-28 | vs | Sarah Lawrence | W | 80 - 34 |
| 2026-02-04 | @ | Yeshiva | W | 67 - 49 |
| 2026-02-07 | @ | St. Joseph's (L.I.) | L | 40 - 47 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Esther Ramos | - | 17 | 31.6 | 16.3 | 6.4 | 1.6 | 1.6 | 0.2 | 2.3 | 13.8 | 10.0 | 184 | 9.7 | 71.5 | 50.0 | 37.2 | 65.9 | 2.2 | 55.0 | 53.4 |
| Julie DeBrocky | - | 17 | 33.0 | 11.4 | 5.4 | 1.4 | 1.2 | 0.2 | 1.4 | 10.3 | 7.8 | 185 | 9.7 | 68.3 | 41.1 | 33.9 | 85.7 | 2.07 | 53.5 | 52.0 |
| Gabby Tucker | - | 17 | 34.2 | 11.1 | 3.6 | 4.5 | 2.5 | 0.2 | 2.2 | 12.0 | 7.8 | 217 | 11.4 | 80.4 | 36.3 | 29.6 | 53.2 | 2.64 | 42.1 | 40.2 |
| Amanda Orlando | - | 17 | 27.5 | 10.7 | 3.4 | 3.1 | 2.8 | 0.1 | 1.8 | 8.9 | 9.3 | 171 | 9.0 | 88.7 | 45.4 | 28.1 | 63.6 | 1.75 | 51.6 | 48.4 |
| Kathleen O'Mara | - | 14 | 23.2 | 7.7 | 4.5 | 2.4 | 2.6 | 1.4 | 2.1 | 6.6 | 9.9 | 96 | 5.6 | 49.8 | 53.3 | 0 | 62.5 | 2.4 | 54.5 | 53.3 |
| Maia Valazquez | - | 2 | 19.6 | 6.0 | 2.5 | 1.5 | 1.5 | 0.5 | 1.5 | 3.5 | 7.0 | - | - | - | 57.1 | 0.0 | 100.0 | - | 68.5 | 57.1 |
| Madison Carlo | - | 16 | 7.7 | 4.7 | 0.8 | 0.5 | 0.1 | 0.1 | 0.6 | 3.7 | 1.8 | 22 | 1.3 | 33.8 | 45.8 | 41.5 | 57.1 | -0.87 | 60.4 | 60.2 |
| Molly Russom | - | 16 | 14.9 | 3.7 | 2.8 | 1.2 | 0.4 | 0.6 | 1.4 | 3.8 | 3.5 | 15 | 0.8 | 9.3 | 38.3 | 25.0 | 78.6 | 0.66 | 44.6 | 40.0 |
| Maia Velazquez | - | 14 | 11.2 | 2.4 | 2.3 | 1.0 | 0.6 | 0.3 | 0.5 | 2.0 | 4.1 | 69 | 4.1 | 187.5 | 53.6 | 0.0 | 75.0 | -1.3 | 55.4 | 53.6 |
| Kaitlyn Mangan | - | 13 | 10.2 | 2.4 | 1.9 | 1.8 | 0.6 | 0.0 | 0.4 | 2.5 | 3.8 | 60 | 4.0 | 73.5 | 34.4 | 11.1 | 66.7 | -0.09 | 41.6 | 35.9 |
| Ryan Ford | - | 10 | 5.6 | 2.1 | 1.7 | 0.6 | 0.3 | 0.0 | 0.5 | 1.3 | 2.9 | 13 | 1.4 | 60.5 | 53.8 | 0 | 87.5 | 1.09 | 63.6 | 53.8 |
| Charlotte March | - | 13 | 7.4 | 1.9 | 1.0 | 0.5 | 0.2 | 0.1 | 0.2 | 1.9 | 1.5 | -5 | -0.3 | -69.4 | 36.0 | 31.2 | 50.0 | 0.3 | 46.7 | 46.0 |
| Jada Janvier | - | 6 | 3.8 | 1.7 | 0.5 | 0.5 | 0.3 | 0.0 | 0.2 | 1.2 | 1.7 | 4 | 0.8 | 26.1 | 42.9 | 0 | 100.0 | 0.46 | 57.1 | 42.9 |
| Taylor Malone | - | 7 | 8.5 | 1.6 | 0.4 | 0.4 | 0.9 | 0.6 | 0.6 | 2.3 | 1.0 | 13 | 1.6 | 38.5 | 25.0 | 12.5 | 100.0 | 0.17 | 32.6 | 28.1 |
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