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Ithaca

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Ithaca
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 → 1023 (#180) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 936 (#248) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 964 (#578) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -5.0 (#197) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -3.2 (#398) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.611 (#123) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.6 More → 0.482 (#109) AdjNet -0.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.9 More → 0.474 (#112) AdjNet -0.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.7 | AdjD 78.2 More → 0.487 (#110) AdjO 77.7 | AdjD 78.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 79.5 | AdjD 77.9 More → 0.536 (#327) AdjO 79.5 | AdjD 77.9
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 → 0.422 (#465) 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 → 0.440 (#450) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 21 More → 934 (#441) RD 105 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs SUNY Brockport L 87 - 96
2025-11-13 @ Cortland L 61 - 80
2025-11-15 @ Hamilton W 75 - 71
2025-11-22 @ Western New Eng. L 60 - 77
2025-12-02 vs Rochester (NY) L 95 - 104
2025-12-05 @ Vassar L 85 - 88
2025-12-06 @ Skidmore W 96 - 70
2025-12-09 @ Hobart L 66 - 86
2026-01-02 @ Kean L 69 - 74
2026-01-03 @ St. Joseph's (ME) L 70 - 87
2026-01-09 vs RIT W 101 - 72
2026-01-10 vs Union (NY) L 73 - 81
2026-01-13 vs Hobart W 88 - 85
2026-01-16 vs Rensselaer L 73 - 88
2026-01-17 vs Bard W 116 - 62
2026-01-23 @ Clarkson - Incomplete score
2026-01-24 @ St. Lawrence - Incomplete score
2026-01-30 @ Union (NY) - Incomplete score
2026-01-31 @ RIT - Incomplete score
2026-02-06 vs St. Lawrence W 75 - 72
2026-02-07 vs Clarkson L 69 - 74
2026-02-13 @ Bard W 91 - 74
2026-02-14 @ Rensselaer L 70 - 82
2026-02-20 vs Skidmore L 83 - 91
2026-02-21 vs Vassar W 76 - 73
2026-02-24 @ St. Lawrence L 64 - 72

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Evan Cabral - 23 28.7 17.7 4.3 2.5 2.4 0.2 2.6 13.7 10.7 - - - - 45.3 34.3 60.7 - 54.0 51.1
Matthew Zenker - 24 28.4 16.4 5.3 2.0 0.9 0.7 2.5 12.8 10.0 - - - - 48.5 39.4 73.9 - 60.0 58.5
Jaylon O'Neal - 25 24.6 9.0 5.3 2.8 1.6 0.5 2.8 7.5 8.8 - - - - 44.1 31.8 67.6 - 51.9 47.9
Thomas McKiernan - 20 19.9 8.1 2.6 2.9 1.3 0.3 1.2 6.7 7.3 - - - - 40.6 32.9 86.7 - 55.1 50.8
Nick Lemmond - 25 17.5 7.4 2.4 0.8 0.8 0.0 0.9 7.6 3.0 - - - - 33.3 28.9 91.7 - 46.4 43.1
David Luberoff - 21 13.2 6.1 5.5 0.3 0.1 0.6 1.8 4.6 6.2 - - - - 49.5 0.0 44.4 - 49.7 49.5
Alex Penders - 26 17.9 5.7 3.1 1.3 0.5 0.3 0.6 4.9 5.4 - - - - 43.0 37.2 77.8 - 56.5 55.5
Chris Leysath - 25 15.9 4.1 4.4 1.1 0.4 0.2 1.2 3.7 5.2 - - - - 35.9 33.3 61.5 - 44.4 38.0
Cole Wissink - 25 20.5 3.6 1.9 0.6 0.9 0.2 0.8 3.6 2.9 - - - - 34.4 29.2 85.7 - 47.8 46.1
Yoav Regev - 22 12.3 3.5 2.1 0.5 0.2 0.3 0.7 3.1 2.7 - - - - 39.1 30.0 90.9 - 51.5 47.8
Tylar Okai-Koi - 8 4.1 2.0 1.0 0.2 0.5 0.1 0.2 1.5 2.1 - - - - 41.7 0.0 75.0 - 51.5 41.7
Laurence Brady - 24 11.3 1.8 0.8 0.5 0.3 0.1 0.1 1.7 1.9 - - - - 32.5 34.6 81.8 - 49.1 43.8
Jose Padilla - 13 6.5 1.6 1.0 0.6 0.3 0.0 1.0 1.8 0.8 - - - - 26.1 15.4 100.0 - 40.3 30.4
Cole Wood - 3 1.2 0.3 0.7 0.0 0.0 0.3 0.0 0.0 1.3 - - - - 0 0 50.0 - 56.8 0
Dan Regev - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Gavin Schauder - 2 2.2 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

Not enough players with both Numbers/Game and RAPM to plot.

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