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Utica

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Utica
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 → 1104 (#98) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1083 (#179) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1095 (#99) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -8.1 (#234) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -8.4 (#502) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.752 (#317) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +7.5 More → 0.709 (#31) NetEff +7.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.2 More → 0.409 (#396) AdjNet -3.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.5 More → 0.399 (#396) AdjNet -3.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.6 | AdjD 76.4 More → 0.435 (#403) AdjO 73.6 | AdjD 76.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.9 | AdjD 76.0 More → 0.476 (#464) AdjO 74.9 | AdjD 76.0
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 → 0.472 (#425) 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 → 0.485 (#420) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 22 More → 1140 (#116) RD 104 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ SUNY Delhi W 80 - 60
2025-11-14 vs Springfield W 76 - 69
2025-11-15 @ Rochester (NY) L 80 - 103
2025-11-19 @ SUNY Morrisville W 83 - 71
2025-11-22 vs Keystone W 86 - 69
2025-12-02 vs SUNY Potsdam W 85 - 63
2025-12-09 vs Hamilton W 69 - 64
2025-12-13 @ Hobart L 53 - 66
2025-12-31 vs Rensselaer W 82 - 77
2026-01-06 vs Russell Sage L 89 - 91
2026-01-09 @ Houghton W 65 - 59
2026-01-10 @ Alfred W 67 - 62
2026-01-13 @ Hartwick W 70 - 61
2026-01-16 vs SUNY Brockport W 81 - 77
2026-01-17 vs SUNY Geneseo L 74 - 77
2026-01-23 vs Keuka W 77 - 70
2026-01-24 vs Elmira W 94 - 77
2026-01-27 @ SUNY Poly W 84 - 79
2026-01-30 @ Nazareth L 66 - 69
2026-01-31 @ St. John Fisher W 80 - 73
2026-02-06 vs Alfred W 84 - 76
2026-02-07 vs Houghton W 86 - 76

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%
Dayion Thompson - 22 31.7 16.5 3.0 2.0 1.5 0.1 2.5 11.7 8.9 115 5.5 15.5 45.3 32.7 86.8 6.12 59.4 52.3
Jordan Cain - 22 28.8 14.9 4.0 1.5 2.5 0.0 2.2 11.4 9.3 88 4.2 14.0 39.6 30.1 75.4 1.17 53.2 45.8
Liam Teague - 20 30.4 13.3 7.1 2.2 0.8 1.5 1.8 10.8 12.2 35 1.8 5.3 47.9 33.3 61.5 -4.24 52.9 50.2
Keyaton Parks - 22 26.7 11.4 9.0 0.4 0.4 1.7 1.1 7.0 14.7 38 1.8 6.9 69.7 0 51.5 0.19 67.9 69.7
Ryan McCardle - 22 22.7 7.8 2.9 1.2 1.0 0.3 0.7 5.8 6.7 74 3.5 14.1 48.0 50.7 64.7 -0.06 63.6 63.0
Zyon Lord - 21 14.8 4.6 1.9 0.6 0.2 0.7 0.8 4.7 2.6 39 1.9 11.2 34.7 33.3 56.5 1.96 44.9 42.9
Isaiah Smith - 22 10.6 3.2 1.3 1.0 0.4 0.0 1.0 2.6 2.2 1 0.0 0.4 44.8 33.3 54.2 0.14 51.1 49.1
Griffin Barasa - 22 18.4 2.6 1.6 1.8 0.8 0.2 1.2 2.1 3.7 27 1.3 7.9 43.5 23.5 45.2 -1.03 48.6 47.8
Ben Wittman - 20 12.9 2.6 1.9 0.9 0.4 0.5 0.8 2.1 3.4 9 0.5 3.2 51.2 0.0 81.8 -0.33 55.4 51.2
Frank Liriano - 4 2.0 2.5 0.0 0.2 0.0 0.0 0.2 0.8 1.8 -4 -1.3 -218.2 66.7 100.0 66.7 -0.32 88.7 100.0
Jeffrey Manuel - 12 6.1 1.3 1.3 0.1 0.0 0.2 0.3 1.2 1.4 5 0.5 15.5 33.3 50.0 55.6 -0.73 42.2 36.7
Iggy Izevbuwa - 9 2.1 1.0 0.7 0.0 0.0 0.0 0.1 1.2 0.3 -11 -1.6 -57.1 36.4 0.0 50.0 -0.47 37.9 36.4
Joshua Sand - 8 3.5 0.9 0.6 0.4 0.1 0.0 0.4 0.5 1.1 5 0.7 69.8 75.0 100.0 0 -0.15 87.5 87.5
Jayden Larregue - 15 6.1 0.7 0.6 0.3 0.2 0.0 0.5 1.4 -0.1 4 0.3 10.8 19.0 16.7 25.0 -0.51 22.0 21.4
Zachary Petucci - 3 1.8 0.7 0.0 0.0 0.0 0.0 0.0 0.3 0.3 - - - 100.0 0 0 - 100.0 100.0
Phoenix Weydig - 5 1.3 0.4 0.6 0.0 0.0 0.0 0.2 0.6 0.2 -18 -4.5 -340.2 0.0 0.0 100.0 -1.12 25.8 0.0
Carter Deak - 4 1.2 0.0 0.0 0.0 0.0 0.0 0.0 0.2 -0.2 -13 -4.3 -1485.7 0.0 0.0 0 -0.33 0.0 0.0
Luke Sherman - 5 1.3 0.0 0.4 0.0 0.0 0.0 0.2 0.2 0.0 -7 -1.8 -144.8 0.0 0.0 0 0.69 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