🐻⬇️🏀

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 → 978 (#414) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 916 (#473) -
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 +2.3 More → -3.6 (#172) HCA +2.3
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 (#393) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.6 More → 0.482 (#357) AdjNet -0.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.9 More → 0.474 (#361) 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 (#359) 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 → 932 (#450) 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 L 69 - 86
2026-01-24 @ St. Lawrence W 55 - 52
2026-01-30 @ Union (NY) L 79 - 86
2026-01-31 @ RIT W 83 - 72
2026-02-06 vs St. Lawrence W 75 - 72
2026-02-07 vs Clarkson L 69 - 74

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%
Evan Cabral - 19 29.9 19.1 4.5 2.7 2.8 0.2 2.6 14.5 12.3 -15 -0.8 -3.9 45.5 33.3 61.4 0.21 54.3 51.1
Matthew Zenker - 19 28.0 15.6 5.3 2.0 0.9 0.7 2.5 12.6 9.5 -47 -2.5 -10.6 46.9 38.7 77.1 -1.76 58.4 56.5
Joel Davis - 1 25.0 12.0 5.0 0.0 2.0 1.0 2.0 11.0 7.0 128 7.5 31.0 36.4 50.0 33.3 4.01 44.0 45.5
Aaron Coston - 1 27.0 11.0 7.0 2.0 2.0 1.0 0.0 9.0 14.0 163 9.6 34.0 55.6 0.0 100.0 2.4 58.3 55.6
Jaylon O'Neal - 20 24.5 9.8 5.5 2.3 1.6 0.5 3.0 7.9 8.8 -19 -0.9 -4.9 44.9 31.7 69.5 -0.03 53.3 49.1
Kendall Arcuri - 1 30.0 9.0 7.0 3.0 0.0 0.0 1.0 9.0 9.0 97 7.5 23.8 44.4 50.0 0 4.16 50.0 50.0
Thomas McKiernan - 14 17.6 7.1 2.1 2.5 1.1 0.3 1.3 4.9 6.9 14 1.0 5.3 46.4 40.4 85.0 2.88 64.3 60.1
Nick Lemmond - 20 17.0 6.7 2.3 0.8 0.6 0.1 0.9 7.2 2.2 -3 -0.1 -1.3 32.6 26.8 92.9 2.8 44.3 41.7
David Luberoff - 18 13.7 6.2 5.7 0.3 0.1 0.7 1.9 4.4 6.7 -35 -1.9 -16.9 51.9 0 43.5 -0.73 51.2 51.9
Alex Penders - 20 17.2 5.5 3.0 1.1 0.7 0.3 0.6 5.2 4.9 21 1.1 7.5 40.4 32.9 66.7 2.64 52.0 51.4
Gaige Armbrewster - 1 23.0 5.0 4.0 0.0 0.0 0.0 4.0 0.0 5.0 179 10.5 45.0 0 0 83.3 4.93 94.7 0
Chris Leysath - 19 15.0 3.9 4.3 1.1 0.5 0.2 1.1 3.8 5.1 -55 -2.9 -42.6 34.7 36.4 58.3 -1.35 42.7 37.5
Cole Wissink - 20 21.8 3.6 2.0 0.7 0.9 0.2 0.8 3.5 3.1 -20 -1.0 -7.1 35.2 30.4 85.7 1.85 49.3 47.2
Yoav Regev - 16 11.9 3.4 2.2 0.4 0.2 0.3 0.9 3.0 2.6 0 0.0 0.0 39.6 26.9 100.0 1.23 52.0 46.9
Joe Evangelista - 1 1.0 3.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0 1 0.1 2.9 100.0 100.0 0 -0.26 150.0 150.0
Tylar Okai-Koi - 7 4.7 2.3 1.1 0.3 0.6 0.1 0.3 1.7 2.4 0 0.0 0.0 41.7 0.0 75.0 -0.65 51.5 41.7
Jose Padilla - 11 7.4 1.9 1.1 0.7 0.4 0.0 1.2 2.0 0.9 -28 -2.5 -71.3 27.3 15.4 100.0 -1.87 41.9 31.8
Laurence Brady - 18 11.7 1.8 0.8 0.7 0.3 0.2 0.1 1.6 2.1 -50 -2.8 -42.1 31.0 35.0 80.0 -0.19 49.4 43.1
Chris McDonald - 1 12.0 1.0 4.0 2.0 2.0 1.0 0.0 1.0 9.0 46 2.9 33.5 0.0 0.0 50.0 0.81 26.6 0.0
Cole Wood - 2 1.8 0.5 1.0 0.0 0.0 0.5 0.0 0.0 2.0 3 0.6 22.6 0 0 50.0 0.02 56.8 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
Gavyn Pacheco - 1 1.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 57 3.8 27.5 0 0 0 -0.13 0 0
Jesse Roggendorf - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -4 -0.5 -12.6 0 0 0 -0.75 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