🐻⬇️🏀

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 → 1389 (#4) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1478 (#2) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1343 (#1) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +46.1 (#10) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +39.4 (#47) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.998 (#132) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +58.8 More → 1.000 (#56) NetEff +58.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +66.0 More → 1.000 (#26) AdjNet +66.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +65.8 More → 1.000 (#37) AdjNet +65.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 91.3 | AdjD 47.2 More → 0.982 (#25) AdjO 91.3 | AdjD 47.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 82.2 | AdjD 48.4 More → 0.956 (#2) AdjO 82.2 | AdjD 48.4
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 → 0.987 (#3) 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 → 0.984 (#1) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 20 More → 1541 (#2) RD 111 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Swarthmore - Incomplete score
2025-11-08 @ Regis (MA) - Incomplete score
2025-11-16 vs New Jersey City - Incomplete score
2025-11-22 vs SUNY New Paltz - Incomplete score
2025-11-24 vs John Jay - Incomplete score
2025-11-29 vs Colby-Sawyer - Incomplete score
2025-11-30 @ Merchant Marine - Incomplete score
2025-12-13 vs Brooklyn - Incomplete score
2025-12-29 @ Hamilton - Incomplete score
2025-12-30 @ SUNY Oneonta - 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%
Caroline Peper - 17 28.5 18.2 2.8 3.3 3.3 0.5 1.9 15.6 10.6 157 8.7 26.5 41.0 36.9 81.8 2.78 55.3 53.2
Payton Baney - 1 35.7 15.0 11.0 1.0 1.0 1.0 3.0 14.0 12.0 52 2.6 11.0 50.0 0.0 50.0 3.33 50.4 50.0
Brooke Batchelor - 18 26.6 13.4 6.1 2.5 3.4 0.5 1.7 10.9 13.3 105 5.5 17.9 50.5 32.7 89.3 3.1 57.8 55.1
Nicole Timko - 1 36.4 13.0 12.0 2.0 1.0 0.0 4.0 17.0 7.0 34 1.7 6.5 35.3 25.0 0 2.76 38.2 38.2
Aila Kaibara - 18 20.1 11.7 2.6 3.6 1.3 0.1 2.8 9.2 7.2 82 4.3 17.5 47.3 41.2 71.4 2.62 60.5 59.4
Zahra Alexander - 18 20.3 11.6 2.4 1.8 1.3 0.5 1.1 8.6 7.9 87 4.6 23.3 56.1 42.1 60.5 3.91 59.8 58.7
Shelby Lewis - 1 17.8 10.0 2.0 0.0 0.0 0.0 2.0 6.0 4.0 -2 -0.1 -1.2 66.7 0 100.0 -0.41 72.7 66.7
Olivia Lagao - 17 15.1 9.5 0.9 1.8 1.2 0.1 1.1 7.9 4.5 155 8.6 83.9 37.0 38.5 87.1 2.45 54.5 50.0
Savannah Gibbs - 1 23.0 7.0 3.0 1.0 0.0 0.0 1.0 7.0 3.0 20 1.0 4.6 42.9 50.0 0 1.1 50.0 50.0
Yasmene Clark - 18 18.9 6.9 9.6 1.3 1.6 0.6 1.6 5.6 12.8 161 8.5 46.4 47.0 0.0 44.1 2.4 47.7 47.0
Aleena Dinker - 1 31.7 6.0 2.0 4.0 2.0 0.0 2.0 12.0 0.0 52 2.7 11.1 25.0 0.0 0 1.89 25.0 25.0
Megan Ohonde - 14 11.6 4.9 2.5 1.4 1.1 0.0 1.4 3.8 4.7 56 4.0 41.7 49.1 50.0 65.2 -0.46 53.9 50.0
Caitlin Kenney - 18 13.4 4.3 3.9 1.4 1.5 0.9 0.8 3.8 7.4 127 6.7 57.7 44.9 34.6 54.5 4.63 52.1 51.4
Sofia Corral - 15 11.2 4.1 1.5 1.8 1.0 0.1 0.9 2.5 5.0 220 14.7 484.8 63.2 50.0 78.6 5.67 69.1 65.8
Nisha Musunuri - 1 14.6 4.0 1.0 1.0 1.0 1.0 1.0 5.0 2.0 48 2.7 29.3 40.0 0.0 0.0 2.85 34.0 40.0
Josie Munson - 11 7.1 3.5 2.2 0.5 0.5 0.0 0.5 2.5 3.5 76 6.3 273.5 60.7 50.0 50.0 1.9 62.0 62.5
Eden Williamson - 18 21.5 3.3 3.2 1.6 2.2 0.1 0.8 2.3 7.2 262 13.8 54.2 47.6 16.7 63.3 3.76 54.3 48.8
Niyati Bangalore - 1 15.9 3.0 0.0 0.0 0.0 0.0 1.0 2.0 0.0 -3 -0.2 -2.3 50.0 100.0 0 0.45 75.0 75.0
Olive Batch - 6 6.5 2.5 2.3 0.8 0.3 0.3 0.5 2.3 3.5 44 6.3 317.1 35.7 33.3 75.0 2.17 47.6 42.9
Jolyn Ding - 11 6.7 2.0 1.0 0.7 0.9 0.0 0.7 1.8 2.1 67 5.6 279.7 45.0 37.5 33.3 0.66 51.6 52.5
Aizlyn Albanese - 11 5.0 1.9 1.5 0.2 0.4 0.3 0.2 1.8 2.3 55 4.6 241.8 35.0 30.8 75.0 2.78 48.3 45.0
Serenity McNair - 9 6.0 1.8 0.9 0.7 1.1 0.0 0.8 1.7 2.0 - - - 40.0 0.0 50.0 -1.13 43.2 40.0
Alexia Mousouroulis - 10 5.4 1.0 0.8 0.5 0.4 0.3 0.1 1.5 1.4 50 4.5 360.4 26.7 14.3 50.0 0.92 31.5 30.0
Ava Arias - 1 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 41 2.0 33.6 0 0 0 0.57 0 0
Liv LaFond - 1 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 42 5.2 184.3 0 0 0 1.09 0 0
Allie Heyer - 1 19.9 0.0 4.0 0.0 1.0 1.0 1.0 3.0 2.0 15 0.8 5.5 0.0 0.0 0 1.42 0.0 0.0
Anya Peper - 1 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 53 3.3 32.5 0 0 0 2.74 0 0
Maddie Goodhart - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0

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