🐻⬇️🏀

NYU

Also known as: NYU
Program History

Model Outputs

2025-2026
Catalog

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 → 1147 (#91) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1207 (#47) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1122 (#63) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +10.4 (#90) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +11.3 (#218) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.878 (#252) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.7 More → 0.907 (#177) AdjNet +19.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.4 More → 0.907 (#178) AdjNet +19.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.1 | AdjD 66.8 More → 0.786 (#186) AdjO 81.1 | AdjD 66.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.4 | AdjD 67.9 More → 0.757 (#58) AdjO 80.4 | AdjD 67.9
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.768 (#131) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.770 (#113) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 19 More → 1225 (#48) RD 107 | GP 19

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Old Westbury - Incomplete score
2025-11-09 vs St. Joseph's (ME) - Incomplete score
2025-11-15 vs Kean - Incomplete score
2025-11-22 @ Manhattanville - Incomplete score
2025-11-26 @ Cal Lutheran - Incomplete score
2025-11-29 @ George Fox - Incomplete score
2025-12-03 @ Yeshiva - Incomplete score
2025-12-06 vs Farmingdale St. - Incomplete score
2025-12-13 vs Lancaster Bible - Incomplete score
2025-12-30 vs John Jay - Incomplete score
2026-01-03 @ Saint Joseph (CT) - Incomplete score
2026-01-10 @ Brandeis - Incomplete score
2026-01-16 vs Rochester (NY) - Incomplete score
2026-01-18 vs Emory - Incomplete score
2026-01-23 @ WashU - Incomplete score
2026-01-25 @ UChicago - Incomplete score
2026-01-30 vs CWRU - Incomplete score
2026-02-01 vs Carnegie Mellon - Incomplete score
2026-02-06 @ CWRU - Incomplete score
2026-02-08 @ Carnegie Mellon - Incomplete score

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%
Carnegie Johnson - 17 32.1 16.9 5.2 4.4 1.5 0.1 2.4 12.4 13.3 85 4.7 23.1 48.3 42.9 78.5 2.68 60.1 56.2
Darren Rubin - 19 25.2 14.0 2.5 2.9 0.4 0.0 1.8 11.8 6.2 80 4.0 15.5 42.9 38.9 92.6 0.25 56.4 53.8
Luke Kolaja - 16 22.1 13.5 5.2 1.8 0.4 1.0 1.2 10.6 10.2 85 5.0 23.5 48.2 39.0 66.7 3.7 59.0 57.6
Nikola Dimitrijevic - 1 19.0 11.0 4.0 0.0 2.0 0.0 4.0 7.0 6.0 -25 -1.7 -4.3 57.1 50.0 66.7 -0.71 66.1 64.3
Bryan Moussako - 19 32.8 10.9 2.8 2.5 0.6 0.1 0.9 8.4 7.6 135 6.8 22.4 43.4 40.7 83.3 1.65 61.3 59.1
Darius Gakwasi - 6 17.2 10.0 4.3 1.3 1.5 0.0 1.7 9.3 6.2 21 2.6 11.9 44.6 23.8 50.0 0.5 49.7 49.1
Andrew Waldman - 18 22.8 6.9 6.3 3.1 1.1 0.3 0.8 4.7 12.3 84 4.7 29.9 56.5 36.7 72.0 2.84 65.1 62.9
Alex Daniels - 19 17.5 6.3 2.8 1.2 0.2 0.2 0.7 5.1 4.9 54 2.7 18.1 45.4 41.1 69.2 -1.66 58.4 57.2
Quinn Clark - 19 24.9 5.8 6.6 1.9 0.8 0.1 1.3 4.3 9.7 113 5.7 22.5 53.7 15.4 66.7 1.83 57.8 54.9
Nolan Casey - 1 6.0 5.0 1.0 0.0 0.0 0.0 0.0 2.0 4.0 -54 -3.2 -15.6 100.0 100.0 0 0.38 125.0 125.0
Buckley DeJardin - 1 24.0 5.0 2.0 2.0 0.0 0.0 0.0 5.0 4.0 -33 -1.9 -5.3 40.0 0.0 100.0 1.33 46.0 40.0
Evan Mirazimi - 1 23.0 5.0 4.0 1.0 0.0 0.0 2.0 4.0 4.0 14 0.9 2.3 50.0 0 100.0 4.3 56.3 50.0
Sam Adusei - 1 23.0 4.0 4.0 3.0 0.0 0.0 3.0 6.0 2.0 -26 -1.6 -4.2 33.3 0.0 0.0 2.75 31.1 33.3
Chase Garcia - 11 9.5 2.9 0.9 0.8 0.3 0.0 0.5 2.5 1.9 39 3.2 20.4 37.0 33.3 77.8 1.19 51.7 46.3
Jonathan Sigurdsson - 12 8.6 2.9 3.1 0.4 0.1 0.6 1.1 2.9 3.1 -18 -1.4 -12.6 45.7 0.0 42.9 -3.02 46.0 45.7
Declan McIntyre - 16 9.3 2.8 1.4 0.8 0.2 0.0 0.6 2.4 2.1 -20 -1.2 -28.0 43.6 31.0 40.0 -5.12 54.6 55.1
Henry Bickford - 14 5.8 2.6 2.3 0.9 0.1 0.1 0.3 2.1 3.6 27 1.9 41.9 50.0 33.3 44.4 1.52 54.5 55.0
Ian Brown - 1 10.0 2.0 1.0 0.0 0.0 0.0 0.0 4.0 -1.0 -39 -2.6 -15.8 25.0 0.0 0 -2.59 25.0 25.0
Isaac Higgs - 1 12.0 2.0 1.0 0.0 0.0 0.0 0.0 4.0 -1.0 0 0.0 0.0 25.0 0.0 0 -1.26 25.0 25.0
Oliver Ford - 6 4.8 1.8 0.8 0.3 0.0 0.2 0.5 0.8 1.8 20 3.3 108.4 60.0 66.7 75.0 - 81.4 80.0
Matt Volkening - 4 4.9 1.5 0.5 0.0 0.0 0.0 0.0 2.5 -0.5 2 0.5 15.5 20.0 22.2 0 - 30.0 30.0
Vinny Ferrari - 5 2.3 0.6 0.0 0.4 0.0 0.0 0.0 0.2 0.8 11 2.2 130.7 100.0 100.0 0 - 150.0 150.0
Sam Andreottola - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -5 -2.5 -27.5 0 0 0 - 0 0
Dylan Bronner - 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -2 -0.2 -1.5 0 0 0 -0.58 0 0
Chase Collignon - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -15 -1.9 -12.3 0 0 0 -1.69 0 0
Alex Hassanein - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Carter Klaus - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -3 -3.0 -43.1 0 0 0 - 0 0
Robert Uhl - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -9 -3.0 -129.3 0 0 0 - 0 0
Lucas Zienkewicz - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
David Petrusev - 1 5.5 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 8 8.0 58.0 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