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Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 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 → | 885 (#544) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 858 (#541) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1031 (#241) | HCA +56 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -14.9 (#406) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -7.1 (#482) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.429 (#511) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.018 (#66) | NetEff -32.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.076 (#667) | AdjNet -21.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.072 (#667) | AdjNet -22.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.193 (#661) | AdjO 63.8 | AdjD 79.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.480 (#458) | AdjO 69.2 | AdjD 70.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.352 (#539) | 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 → | 0.381 (#518) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 967 (#415) | RD 102 | GP 22 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-07 | @ | FDU | - | Incomplete score |
| 2024-11-16 | vs | Lehman | - | Incomplete score |
| 2024-11-19 | vs | Hunter | - | Incomplete score |
| 2024-11-23 | vs | JWU (Providence) | - | Incomplete score |
| 2024-11-30 | vs | CCNY | - | Incomplete score |
| 2024-12-02 | @ | Russell Sage | - | Incomplete score |
| 2024-12-04 | @ | Mitchell | - | Incomplete score |
| 2024-12-08 | @ | Elms | - | Incomplete score |
| 2024-12-15 | vs | Yeshiva | - | Incomplete score |
| 2024-12-29 | @ | NYU | - | Incomplete score |
| 2024-12-30 | vs | Kenyon | - | Incomplete score |
| 2025-01-04 | @ | Sarah Lawrence | - | Incomplete score |
| 2025-01-08 | vs | Manhattanville | - | Incomplete score |
| 2025-01-11 | @ | Mt. St. Mary (NY) | - | Incomplete score |
| 2025-01-15 | vs | UMSV | - | Incomplete score |
| 2025-01-18 | vs | St. Joseph's (Brkln) | - | Incomplete score |
| 2025-01-21 | @ | Old Westbury | - | Incomplete score |
| 2025-01-25 | vs | Farmingdale St. | - | Incomplete score |
| 2025-01-29 | @ | SUNY Maritime | - | Incomplete score |
| 2025-02-01 | @ | St. Joseph's (L.I.) | - | Incomplete score |
| 2025-02-05 | vs | Merchant Marine | - | Incomplete score |
| 2025-02-09 | @ | Yeshiva | - | Incomplete score |
| 2025-02-11 | vs | Sarah Lawrence | - | Incomplete score |
| 2025-02-16 | @ | Manhattanville | - | Incomplete score |
| 2025-02-19 | vs | Mt. St. Mary (NY) | - | Incomplete score |
| 2025-02-22 | @ | UMSV | - | Incomplete score |
| 2025-02-25 | @ | Yeshiva | - | Incomplete score |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rashid Nikiema | - | 24 | 29.9 | 18.4 | 6.0 | 2.2 | 1.3 | 1.4 | 2.4 | 13.8 | 13.1 | 34 | 3.4 | 6.9 | 45.9 | 39.5 | 87.4 | 0.44 | 59.8 | 55.3 |
| Gabe Bristow | - | 24 | 29.6 | 10.0 | 3.7 | 1.5 | 1.0 | 0.6 | 1.7 | 8.6 | 6.6 | 6 | 0.6 | 0.9 | 40.1 | 38.2 | 85.0 | 0.76 | 55.8 | 54.1 |
| Chad Duke | - | 25 | 22.6 | 10.0 | 2.5 | 1.5 | 1.1 | 0.6 | 1.7 | 8.9 | 5.2 | 22 | 2.8 | 6.7 | 42.2 | 26.7 | 74.6 | 0.46 | 50.1 | 45.7 |
| Trey Skeete | - | 26 | 29.2 | 8.3 | 6.2 | 2.9 | 1.7 | 0.2 | 1.5 | 8.2 | 9.5 | 30 | 2.7 | 4.6 | 34.6 | 32.4 | 58.5 | 0.71 | 46.5 | 44.9 |
| Matthew Phillips | - | 26 | 18.5 | 6.9 | 5.8 | 1.3 | 0.5 | 1.3 | 1.2 | 6.0 | 8.6 | 20 | 2.2 | 6.7 | 47.4 | 28.6 | 60.0 | 0.24 | 50.9 | 48.7 |
| Tyler Bond | - | 25 | 21.0 | 5.1 | 2.8 | 2.2 | 0.7 | 0.0 | 1.9 | 5.5 | 3.4 | -61 | -5.1 | -11.6 | 32.1 | 20.3 | 75.7 | 0.03 | 41.8 | 36.5 |
| Wesley Fulcher | - | 24 | 18.8 | 4.8 | 2.8 | 1.5 | 0.8 | 0.1 | 1.6 | 4.8 | 3.7 | 2 | 0.3 | 1.5 | 33.9 | 28.1 | 67.9 | 0.07 | 45.2 | 41.7 |
| Desmond Ward | - | 18 | 10.3 | 3.8 | 2.7 | 0.9 | 0.7 | 0.3 | 0.7 | 3.3 | 4.3 | 4 | 0.8 | 1.7 | 40.7 | 35.7 | 83.3 | 0.32 | 55.2 | 53.4 |
| Sean Holzman | - | 26 | 10.6 | 2.3 | 2.4 | 0.6 | 0.3 | 0.2 | 0.6 | 2.8 | 2.3 | 11 | 0.7 | 8.5 | 31.9 | 28.6 | 66.7 | -0.01 | 40.9 | 40.3 |
| Elijah Abrams | - | 19 | 7.1 | 1.8 | 1.7 | 0.4 | 0.3 | 0.4 | 0.7 | 2.3 | 1.6 | 6 | 2.0 | 5.6 | 27.9 | 22.2 | 100.0 | -0.04 | 37.2 | 32.6 |
| Kris Cummings | - | 19 | 3.7 | 1.3 | 0.7 | 0.1 | 0.0 | 0.1 | 0.4 | 1.1 | 0.7 | -2 | -0.5 | -4.4 | 50.0 | 0.0 | 55.6 | -0.39 | 52.2 | 50.0 |
| Chris Hunter | - | 21 | 3.1 | 0.9 | 0.5 | 0.3 | 0.2 | 0.0 | 0.4 | 1.0 | 0.5 | - | - | - | 38.1 | 0.0 | 14.3 | - | 33.1 | 38.1 |
| Sean Garcia | - | 22 | 1.1 | 0.5 | 0.1 | 0.2 | 0.0 | 0.0 | 0.5 | 0.5 | -0.1 | -14 | -7.0 | -206.1 | 40.0 | 40.0 | 0 | -1.09 | 50.0 | 50.0 |
| Omari Hart | - | 24 | 1.4 | 0.5 | 0.3 | 0.1 | 0.1 | 0.1 | 0.2 | 0.3 | 0.6 | -6 | -3.0 | -88.3 | 50.0 | 0.0 | 66.7 | -1.09 | 56.4 | 50.0 |
| Mahir Ahmed | - | 22 | 0.7 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.3 | 0.0 | 4 | 1.0 | 19.0 | 50.0 | 25.0 | 100.0 | -0.67 | 65.4 | 58.3 |
| William Krapf | - | 24 | 0.5 | 0.3 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.3 | - | - | - | 60.0 | 50.0 | 0 | - | 80.0 | 80.0 |
| Will Beame | - | 24 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | -0.1 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Isaiah Tufuoh | - | 24 | 0.3 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | - | - | - | 0 | 0 | 33.3 | - | 37.9 | 0 |
| Dan Dedvukaj | - | 8 | 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