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 → | 915 (#384) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 772 (#547) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 854 (#649) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -49.8 (#427) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -39.4 (#694) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.005 (#724) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.002 (#578) | NetEff -35.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#750) | AdjNet -80.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#750) | AdjNet -83.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.012 (#748) | AdjO 34.2 | AdjD 83.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.059 (#715) | AdjO 42.4 | AdjD 72.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.020 (#714) | 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 → | 0.024 (#714) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 747 (#513) | RD 105 | GP 20 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Farmingdale St. | L | 43 - 68 |
| 2025-11-12 | @ | Old Westbury | L | 39 - 43 |
| 2025-11-14 | vs | St. Joseph's (L.I.) | L | 17 - 57 |
| 2025-11-15 | @ | St. Joseph's (Brkln) | L | 37 - 81 |
| 2025-11-19 | vs | New Jersey City | L | 50 - 90 |
| 2025-11-21 | vs | Keystone | W | 58 - 44 |
| 2025-12-03 | @ | Pratt | W | 59 - 55 |
| 2025-12-29 | vs | DeSales | L | 22 - 92 |
| 2026-01-14 | @ | Baruch | L | 70 - 82 |
| 2026-01-16 | vs | Medgar Evers | W | 69 - 61 |
| 2026-01-21 | vs | John Jay | L | 33 - 82 |
| 2026-01-23 | @ | Hunter | L | 34 - 99 |
| 2026-01-27 | @ | UMSV | L | 37 - 65 |
| 2026-01-30 | vs | York (NY) | W | 73 - 54 |
| 2026-02-03 | @ | Lehman | L | 39 - 80 |
| 2026-02-06 | vs | Brooklyn | L | 25 - 86 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Blessings Joseph-Pascall | - | 11 | 31.9 | 11.1 | 6.5 | 3.0 | 3.1 | 0.1 | 6.2 | 10.6 | 6.9 | 3 | 0.3 | 1.0 | 37.6 | 0.0 | 44.7 | 0.66 | 40.5 | 37.6 |
| Ashley Colon | - | 15 | 31.1 | 10.9 | 3.3 | 0.4 | 0.7 | 0.5 | 3.5 | 12.9 | -0.7 | -156 | -11.1 | -42.0 | 29.4 | 25.6 | 60.4 | -2.77 | 38.1 | 34.8 |
| Blessings Joseph-Pas | - | 3 | 32.7 | 9.7 | 3.0 | 1.3 | 1.3 | 0.7 | 5.0 | 7.3 | 3.7 | - | - | - | 18.2 | 0.0 | 61.8 | - | 39.2 | 18.2 |
| Joscelyn Ramos | - | 15 | 29.4 | 7.6 | 3.9 | 1.7 | 1.3 | 0.2 | 4.6 | 10.3 | -0.2 | -136 | -8.5 | -41.8 | 26.5 | 17.8 | 49.0 | -3.91 | 32.3 | 29.0 |
| Ashley Subervi | - | 15 | 29.8 | 6.1 | 8.9 | 0.9 | 1.7 | 0.5 | 3.8 | 8.5 | 5.8 | -132 | -9.4 | -37.4 | 29.7 | 0.0 | 53.6 | -2.23 | 32.4 | 29.7 |
| Loma Romero,Yazmin | - | 1 | 30.0 | 4.0 | 2.0 | 2.0 | 1.0 | 0.0 | 3.0 | 3.0 | 3.0 | - | - | - | 33.3 | 0 | 100.0 | - | 51.5 | 33.3 |
| Elizabeth Herrera | - | 9 | 16.1 | 3.3 | 2.1 | 0.8 | 1.0 | 0.1 | 4.2 | 4.3 | -1.2 | -137 | -13.7 | -70.9 | 28.2 | 22.2 | 46.2 | -6.03 | 33.5 | 30.8 |
| Amanda Fisher | - | 15 | 26.3 | 2.9 | 8.4 | 0.9 | 1.0 | 2.1 | 1.7 | 3.3 | 10.2 | -101 | -7.2 | -33.7 | 38.0 | 0 | 24.0 | -0.52 | 36.1 | 38.0 |
| Yazmin Loma Romero | - | 9 | 25.1 | 2.9 | 1.8 | 1.1 | 1.0 | 0.0 | 3.3 | 5.3 | -1.9 | -142 | -8.9 | -53.1 | 22.9 | 23.5 | 0 | -4.01 | 27.1 | 27.1 |
| Eliana Saquicili | - | 10 | 14.5 | 1.0 | 1.6 | 1.0 | 0.2 | 0.0 | 2.2 | 1.9 | -0.3 | -48 | -4.8 | -43.4 | 21.1 | 25.0 | 50.0 | -0.41 | 25.2 | 23.7 |
| Erisairy Calderon | - | 9 | 9.0 | 0.9 | 0.7 | 0.0 | 0.1 | 0.1 | 0.3 | 1.3 | 0.1 | -92 | -9.2 | -98.4 | 33.3 | 0 | 0 | -3.3 | 33.3 | 33.3 |
| Nicole Garcia | - | 7 | 7.3 | 0.6 | 2.0 | 0.0 | 0.4 | 0.4 | 2.1 | 3.0 | -1.7 | -65 | -7.2 | -118.0 | 4.8 | 0.0 | 40.0 | -2.6 | 8.6 | 4.8 |
| Esther Amoda | - | 7 | 8.2 | 0.3 | 0.9 | 0.1 | 0.3 | 0.0 | 1.6 | 0.6 | -0.6 | -64 | -9.1 | -130.6 | 25.0 | 0.0 | 0.0 | -1.78 | 17.4 | 25.0 |
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