🐻⬇️🏀

UNI

Also known as: UNI
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 → 1025 (#278) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1072 (#199) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1017 (#316) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +49.4 (#4) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#20) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +66.3 More → 1.000 (#1) AdjNet +66.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +66.0 More → 1.000 (#1) AdjNet +66.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 95.3 | AdjD 48.9 More → 0.986 (#2) AdjO 95.3 | AdjD 48.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.7 | AdjD 63.5 More → 0.839 (#12) AdjO 81.7 | AdjD 63.5
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 → 0.974 (#2) 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 → 0.961 (#2) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 347 | GP 1 More → 1105 (#170) RD 347 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-01 vs Coe W 99 - 34

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%
Geon Hutchins - 1 26.4 18.0 9.0 0.0 2.0 1.0 3.0 11.0 16.0 - - - 63.6 60.0 100.0 - 78.7 77.3
Trey Campbell - 1 14.8 15.0 3.0 0.0 1.0 0.0 2.0 6.0 11.0 17 2.8 106.2 83.3 75.0 100.0 0.75 109.0 108.3
Chase Courbat - 1 20.9 12.0 4.0 1.0 0.0 0.0 0.0 5.0 12.0 - - - 60.0 0 100.0 - 78.5 60.0
Kyle Pock - 1 24.8 11.0 3.0 2.0 1.0 1.0 1.0 7.0 10.0 - - - 57.1 50.0 50.0 - 69.8 71.4
Ben Schwieger - 1 12.4 11.0 3.0 2.0 3.0 0.0 0.0 6.0 13.0 - - - 83.3 50.0 0 - 91.7 91.7
Max Weisbrod - 1 23.1 9.0 2.0 5.0 1.0 0.0 0.0 7.0 10.0 - - - 42.9 42.9 0 - 64.3 64.3
Ismael Diouf - 1 20.5 7.0 3.0 2.0 2.0 0.0 1.0 4.0 9.0 - - - 75.0 50.0 0 - 87.5 87.5
RJ Taylor - 1 25.2 7.0 0.0 9.0 2.0 0.0 1.0 5.0 12.0 - - - 60.0 33.3 0 - 70.0 70.0
Leon Bond III - 1 13.6 5.0 4.0 0.0 1.0 1.0 2.0 6.0 3.0 - - - 33.3 25.0 0 - 41.7 41.7
Tristan Smith - 1 15.2 4.0 5.0 2.0 2.0 1.0 0.0 3.0 11.0 90 4.7 17.6 66.7 0 0.0 1.06 51.5 66.7
Will Hornseth - 1 3.2 0.0 1.0 1.0 0.0 0.0 0.0 1.0 1.0 - - - 0.0 0 0 - 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