🐻⬇️🏀

SUNY Oneonta

Season: 2026 2025 2024 2023 2022 2020 2019 2018 2017 2016
Also known as: SUNY Oneonta
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 → 1076 (#136) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1014 (#367) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1038 (#217) HCA +56 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1026 (#258) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -7.0 (#215) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +11.7 (#208) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -6.4 (#464) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.478 (#483) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.0 More → 0.285 (#463) AdjNet -8.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.1 More → 0.280 (#462) AdjNet -8.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.9 | AdjD 77.0 More → 0.365 (#470) AdjO 70.9 | AdjD 77.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 83.6 | AdjD 76.8 More → 0.648 (#150) AdjO 83.6 | AdjD 76.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.7 | AdjD 68.5 More → 0.550 (#293) AdjO 70.7 | AdjD 68.5
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 → 0.632 (#284) Blend of Elo, BT, Margin, PythLog, PtsOD
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 → 0.471 (#427) 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 → 0.628 (#288) 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 → 0.482 (#423) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 244 | GP 1 More → 1062 (#272) RD 244 | GP 1
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 157 | GP 8 More → 1052 (#295) RD 157 | GP 8

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-05 @ SUNY New Paltz W 65 - 58
2026-01-23 vs Plattsburgh St. W 89 - 75
2026-01-24 vs SUNY Potsdam W 101 - 80
2026-01-27 @ SUNY Canton W 79 - 60
2026-01-30 vs Cortland L 60 - 74
2026-01-31 vs SUNY Morrisville L 77 - 79
2026-02-06 vs Fredonia W 69 - 41
2026-02-07 vs Buffalo St. W 67 - 55

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%
Nicholas Cortez - 8 27.8 13.6 5.2 1.9 1.0 0.0 0.9 10.0 10.9 48 2.2 11.0 42.5 36.4 87.9 1.2 57.7 50.0
Cam LaClair - 8 32.6 11.4 8.2 2.8 0.9 0.1 1.9 11.5 10.0 81 3.9 16.5 29.3 17.4 63.5 1.9 39.6 31.5
Delano Knox - 8 31.2 11.2 4.5 1.8 1.4 0.6 1.1 9.5 8.9 119 6.0 24.4 43.4 25.0 55.0 2.1 48.1 44.7
Nate Cohen - 7 18.3 9.3 4.9 1.1 1.3 0.7 1.0 7.4 8.9 99 4.7 42.1 48.1 50.0 66.7 0.55 59.5 58.7
Sam Booth - 8 19.2 8.2 2.4 0.2 0.5 0.0 0.1 5.8 5.5 46 2.1 15.8 52.2 18.2 64.0 0.22 57.9 54.3
Pat Evans - 8 21.9 7.5 4.1 2.0 0.5 0.0 1.5 6.2 6.4 79 3.6 22.8 38.0 36.4 70.0 0.21 51.0 46.0
Hobson Herlihy - 8 19.6 4.1 3.1 0.8 0.2 0.1 0.5 4.0 3.9 49 2.2 18.6 40.6 16.7 71.4 2.06 47.0 43.8
Deion Mitchell-Murray - 7 11.2 3.3 1.9 0.3 0.4 0.7 0.4 3.4 2.7 34 1.7 20.3 45.8 0.0 12.5 0.49 41.8 45.8
Daniel Penubothula - 7 11.8 3.1 0.7 0.6 0.6 0.1 0.1 2.6 2.4 12 6.0 12.0 50.0 33.3 25.0 -0.49 55.7 58.3
Jacob Jerome - 3 2.9 3.0 0.7 0.3 0.3 0.0 0.3 1.7 2.3 1 0.1 4.6 80.0 100.0 0 0.47 90.0 90.0
Carlos Almanzar - 8 8.4 2.9 2.5 0.1 0.2 0.1 0.5 2.8 2.6 5 0.2 4.0 50.0 0.0 20.0 -2.66 47.5 50.0
Kaden Gonzalez - 4 2.9 2.0 0.2 0.0 0.0 0.0 0.0 1.5 0.8 -3 -0.2 -12.5 66.7 0.0 0 0.41 66.7 66.7
Ibrahim Wally - 5 3.3 1.2 1.2 0.2 0.0 0.0 0.0 1.0 1.6 30 2.0 136.9 40.0 0 100.0 1.86 51.0 40.0
Connor Mannix - 3 2.8 0.7 0.7 0.3 0.0 0.0 0.3 0.3 1.0 3 0.3 14.1 100.0 0 0 0.85 100.0 100.0
Josh Smalls - 2 2.3 0.0 0.5 0.5 0.0 0.0 0.0 0.0 1.0 3 0.3 25.8 0 0 0 0.88 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