Baruch
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 → | 964 (#315) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 890 (#479) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 915 (#594) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -30.0 (#394) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -21.3 (#617) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.624 (#389) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.167 (#462) | NetEff -10.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.036 (#622) | AdjNet -28.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.029 (#626) | AdjNet -29.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.160 (#618) | AdjO 55.5 | AdjD 73.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.214 (#655) | AdjO 55.6 | AdjD 69.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.130 (#643) | 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 → | 0.143 (#643) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 859 (#453) | RD 99 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Emerson | L | 36 - 73 |
| 2025-11-09 | @ | Suffolk | L | 52 - 81 |
| 2025-11-12 | @ | Merchant Marine | L | 39 - 78 |
| 2025-11-14 | @ | Rutgers-Camden | L | 42 - 69 |
| 2025-11-15 | @ | Rutgers-Newark | W | 79 - 63 |
| 2025-11-19 | vs | Ramapo | L | 59 - 72 |
| 2025-11-23 | vs | Yeshiva | W | 79 - 60 |
| 2025-12-01 | vs | Pratt | W | 82 - 36 |
| 2025-12-13 | vs | Notre Dame (MD) | L | 54 - 70 |
| 2025-12-30 | vs | Saint Joseph (CT) | W | 66 - 51 |
| 2026-01-10 | vs | John Jay | W | 76 - 71 |
| 2026-01-14 | vs | CCNY | W | 82 - 70 |
| 2026-01-16 | @ | York (NY) | W | 66 - 54 |
| 2026-01-21 | vs | Lehman | L | 57 - 76 |
| 2026-01-23 | vs | Medgar Evers | W | 77 - 64 |
| 2026-01-30 | vs | Brooklyn | L | 55 - 86 |
| 2026-02-03 | @ | John Jay | L | 43 - 75 |
| 2026-02-05 | vs | Hunter | L | 53 - 81 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Isabella K-Larrier | - | 1 | 39.0 | 23.0 | 2.0 | 6.0 | 3.0 | 1.0 | 2.0 | 19.0 | 14.0 | - | - | - | 47.4 | 0.0 | 83.3 | - | 53.1 | 47.4 |
| LARRIER, Isabella | - | 1 | 37.0 | 20.0 | 5.0 | 1.0 | 3.0 | 0.0 | 2.0 | 18.0 | 9.0 | - | - | - | 44.4 | 25.0 | 66.7 | - | 51.8 | 50.0 |
| D'Andre Mcrae | - | 2 | 29.5 | 16.0 | 10.5 | 0.0 | 2.5 | 0.0 | 3.0 | 10.5 | 15.5 | -71 | -4.2 | -35.8 | 61.9 | 0 | 75.0 | -2.27 | 65.3 | 61.9 |
| Isabella Kostyal-Larrier | - | 13 | 34.1 | 15.7 | 4.2 | 3.2 | 1.1 | 0.5 | 3.4 | 14.6 | 6.6 | -110 | -6.5 | -29.9 | 40.5 | 25.5 | 67.9 | -2.23 | 47.5 | 43.7 |
| IDIR, Lola | - | 1 | 33.0 | 14.0 | 4.0 | 2.0 | 0.0 | 0.0 | 1.0 | 11.0 | 8.0 | - | - | - | 45.5 | 44.4 | 0 | - | 63.6 | 63.6 |
| Lola De luka | - | 2 | 38.0 | 12.5 | 3.0 | 1.5 | 2.0 | 0.5 | 2.5 | 13.5 | 3.5 | -92 | -5.4 | -44.8 | 29.6 | 0.0 | 69.2 | -3.34 | 38.2 | 29.6 |
| Lola Idir | - | 16 | 34.5 | 11.8 | 4.6 | 2.9 | 1.0 | 0.3 | 3.4 | 10.6 | 6.6 | -87 | -5.1 | -24.6 | 33.5 | 33.3 | 84.2 | -1.67 | 50.3 | 45.9 |
| Lillianna Morales | - | 16 | 29.7 | 9.8 | 8.8 | 2.4 | 2.7 | 0.9 | 5.0 | 10.9 | 8.8 | -65 | -3.8 | -22.4 | 40.8 | 33.3 | 50.0 | -1.08 | 42.1 | 41.1 |
| Nicole Bencosme | - | 2 | 18.7 | 6.5 | 4.5 | 3.0 | 1.0 | 0.0 | 3.0 | 9.0 | 3.0 | 11 | 2.8 | 12.2 | 33.3 | 0.0 | 25.0 | -0.25 | 32.9 | 33.3 |
| Brianna Lopez | - | 16 | 22.7 | 5.5 | 3.8 | 3.5 | 0.9 | 0.2 | 3.3 | 4.0 | 6.6 | -19 | -1.1 | -16.0 | 39.1 | 0.0 | 50.7 | -2.76 | 45.4 | 39.1 |
| MORALES, Lillianna | - | 1 | 25.0 | 4.0 | 3.0 | 0.0 | 2.0 | 0.0 | 2.0 | 10.0 | -3.0 | - | - | - | 20.0 | 0 | 0 | - | 20.0 | 20.0 |
| MCRAE, D'Andre | - | 1 | 18.0 | 4.0 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 4.0 | 4.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
| LOPEZ, Brianna | - | 1 | 23.0 | 4.0 | 4.0 | 5.0 | 3.0 | 0.0 | 4.0 | 8.0 | 4.0 | - | - | - | 25.0 | 0 | 0.0 | - | 21.5 | 25.0 |
| Madison Thornton-Lewis | - | 9 | 17.8 | 3.8 | 3.9 | 1.4 | 1.2 | 0.1 | 1.2 | 6.2 | 3.0 | -103 | -8.6 | -54.9 | 23.2 | 14.7 | 75.0 | 0.01 | 29.4 | 27.7 |
| De Luka,Lola | - | 1 | 30.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 2.0 | 10.0 | -6.0 | - | - | - | 10.0 | 0.0 | 50.0 | - | 13.8 | 10.0 |
| Madison T-Lewis | - | 1 | 11.0 | 3.0 | 4.0 | 2.0 | 0.0 | 0.0 | 1.0 | 4.0 | 4.0 | - | - | - | 25.0 | 50.0 | 0 | - | 37.5 | 37.5 |
| POMPA, Hannah | - | 1 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| BENCOSME, Nicole | - | 1 | 17.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 4.0 | -2.0 | - | - | - | 0.0 | 0 | 100.0 | - | 20.5 | 0.0 |
| MITCHELL, Precious | - | 1 | 11.0 | 2.0 | 2.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | 2.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Precious Mitchell | - | 13 | 13.3 | 0.9 | 2.8 | 0.6 | 0.8 | 0.4 | 1.0 | 2.2 | 2.4 | -62 | -5.2 | -33.8 | 17.9 | 0 | 18.2 | -2.3 | 18.3 | 17.9 |
| Sofia Forte | - | 10 | 3.1 | 0.6 | 0.9 | 0.0 | 0.1 | 0.1 | 0.6 | 0.8 | 0.3 | -38 | -4.2 | -152.8 | 25.0 | 0 | 50.0 | -0.88 | 30.7 | 25.0 |
| Hannah Pompa | - | 4 | 3.7 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 1.8 | 0.5 | -1.2 | -27 | -9.0 | -480.0 | 50.0 | 0 | 0 | -0.75 | 50.0 | 50.0 |
| Mandy Lin | - | 12 | 3.3 | 0.2 | 1.1 | 0.2 | 0.2 | 0.0 | 0.2 | 0.3 | 1.1 | -70 | -5.8 | -288.2 | 25.0 | 0 | 0 | -1.14 | 25.0 | 25.0 |
| Sarah Liu | - | 4 | 3.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.8 | -0.8 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Pok Wun Liu | - | 2 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| DE LUKA, Lola | - | 1 | 27.0 | 0.0 | 3.0 | 1.0 | 2.0 | 0.0 | 1.0 | 7.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| LIU, Sarah | - | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| FORTE, Sofia | - | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| LIN, Mandy | - | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| LIU, Pok Wun | - | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Wun Liu,Pok | - | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Gabriela Ledesma | - | 3 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.7 | 1.7 | -1.3 | - | - | - | 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