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Union (NY)

Also known as: Union (NY)
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 → 1159 (#54) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1197 (#38) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1167 (#36) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +3.6 (#77) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +2.8 (#302) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.636 (#374) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.7 More → 0.422 (#387) AdjNet -2.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.1 More → 0.412 (#389) AdjNet -3.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.1 | AdjD 77.4 More → 0.449 (#392) AdjO 75.1 | AdjD 77.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.0 | AdjD 69.9 More → 0.655 (#142) AdjO 77.0 | AdjD 69.9
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 → 0.671 (#237) 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 → 0.683 (#219) 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 21 More → 1232 (#41) RD 111 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ SUNY Poly W 84 - 55
2025-11-08 @ Oswego St. W 81 - 75
2025-11-20 @ Middlebury L 72 - 73
2025-11-22 @ Plattsburgh St. W 80 - 73
2025-11-29 vs Manhattanville W 88 - 66
2025-11-30 vs Trinity (CT) L 56 - 97
2025-12-05 vs St. Lawrence W 72 - 68
2025-12-06 vs Clarkson W 85 - 70
2025-12-10 vs Stevens W 79 - 66
2026-01-03 @ RIT W 74 - 63
2026-01-09 @ Rensselaer W 76 - 59
2026-01-10 @ Ithaca W 81 - 73
2026-01-13 vs RIT W 94 - 90
2026-01-16 vs Bard W 89 - 60
2026-01-17 vs Vassar L 74 - 76
2026-01-23 @ Hobart W 90 - 72
2026-01-27 @ Skidmore W 81 - 73
2026-01-30 vs Ithaca W 86 - 79
2026-01-31 vs Rensselaer L 50 - 56
2026-02-06 vs Skidmore W 80 - 62
2026-02-07 vs Hobart W 75 - 68

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%
Jack Plesser - 21 30.9 22.7 7.1 1.4 1.0 1.5 1.5 15.1 17.1 53 2.6 27.4 55.7 47.4 79.2 0.46 62.5 57.1
Tanner Tedesco - 21 35.0 15.2 2.2 6.2 0.6 0.0 2.7 12.6 9.0 59 3.0 24.6 44.5 42.6 86.5 4.23 56.9 54.3
Matthew Garside - 21 30.1 11.9 2.6 2.9 1.8 0.4 1.9 9.2 8.4 25 1.2 12.6 42.8 38.0 75.6 2.05 58.2 55.4
Christian Dufort - 21 31.1 10.9 7.3 2.2 0.5 0.5 1.7 8.2 11.7 - - - 49.4 39.3 81.2 - 61.5 59.0
Scott Schmitt - 17 10.5 4.3 3.6 0.4 0.3 0.8 1.0 2.6 5.7 -2 -0.1 -3.2 60.0 0 55.9 1.83 60.9 60.0
Pat Cullinan - 20 10.5 3.3 1.4 0.7 0.6 0.1 0.7 2.6 2.6 47 2.9 50.9 50.9 33.3 50.0 1.45 55.0 54.7
Neil Daterao - 17 17.3 3.3 3.2 1.1 0.4 0.2 0.4 2.6 5.3 59 3.9 90.8 52.3 35.7 62.5 2.11 58.9 58.0
Harrison Collins - 21 15.4 2.9 2.6 1.6 0.9 0.3 1.1 2.8 4.3 48 2.4 24.1 36.2 33.3 78.6 0.21 47.5 43.1
Trace Moffitt - 12 4.8 2.2 1.3 0.1 0.0 0.0 0.1 1.5 2.0 36 3.3 72.7 55.6 40.0 100.0 1.23 68.9 66.7
Will Yakoobian - 14 8.6 2.2 2.1 0.4 0.1 0.0 0.2 1.6 3.1 -10 -0.7 -8.7 50.0 50.0 55.6 -0.14 59.7 59.1
Cade Furse - 16 10.5 1.5 1.6 0.5 0.6 0.1 0.2 2.0 2.1 9 0.6 11.3 28.1 16.7 100.0 -0.72 36.0 32.8
Jaden Jauregui - 14 9.3 1.5 1.6 0.5 0.4 0.1 0.4 1.5 2.3 44 3.4 72.3 38.1 25.0 80.0 0.61 45.3 40.5
Kidder Lindley - 9 2.1 0.6 0.4 0.0 0.0 0.1 0.0 0.4 0.7 -6 -0.7 -44.0 50.0 0 50.0 -0.07 51.2 50.0
Aren Cummings - 8 2.2 0.5 0.6 0.0 0.0 0.0 0.0 1.1 0.0 -5 -0.7 -36.7 11.1 0 33.3 -0.07 17.2 11.1
Sam O'Toole - 9 1.9 0.4 0.1 0.2 0.0 0.0 0.3 0.7 -0.2 -9 -1.0 -66.1 33.3 0.0 0 -0.07 33.3 33.3
Cam Perez - 8 1.9 0.1 0.1 0.0 0.0 0.0 0.0 0.1 0.1 -6 -0.8 -90.0 0.0 0 50.0 0.12 26.6 0.0
Aidan Duffy - 4 2.1 0.0 0.2 0.0 0.0 0.0 0.0 0.2 0.0 -43 -10.8 -973.6 0.0 0 0 -0.39 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