🐻⬇️🏀

Utah St.

Season: 2026 2025 2024 2023 2016 2013
Also known as: Utah St.
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1055 (#156) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 994 (#321) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +33.2 (#12) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#5) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +60.9 More → 0.999 (#2) AdjNet +60.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +60.4 More → 0.999 (#2) AdjNet +60.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 105.8 | AdjD 57.2 More → 0.988 (#2) AdjO 105.8 | AdjD 57.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 82.4 | AdjD 73.1 More → 0.701 (#71) AdjO 82.4 | AdjD 73.1
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 → 0.916 (#5) 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 → 0.877 (#15) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1080 (#148) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Westminster (UT) W 110 - 54

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%
MJ Collins - 1 21.8 23.0 4.0 1.0 3.0 0.0 0.0 11.0 20.0 - - - 81.8 71.4 0 - 104.5 104.5
Kolby King - 1 23.0 16.0 2.0 1.0 0.0 0.0 0.0 10.0 9.0 25 1.9 10.3 60.0 57.1 0 1.93 80.0 80.0
Garry Clark - 1 24.4 12.0 11.0 1.0 0.0 0.0 0.0 8.0 16.0 -16 -0.8 -3.1 75.0 0 0 0.15 75.0 75.0
Adlan Elamin - 1 13.3 12.0 1.0 0.0 2.0 2.0 2.0 9.0 6.0 - - - 33.3 28.6 100.0 - 55.8 44.4
Elijah Perryman - 1 21.3 10.0 3.0 8.0 2.0 0.0 3.0 5.0 15.0 - - - 80.0 66.7 0 - 100.0 100.0
Tucker Anderson - 1 14.7 9.0 3.0 1.0 0.0 0.0 0.0 6.0 7.0 46 2.2 14.5 50.0 60.0 0 1.57 75.0 75.0
Mason Falslev - 1 16.4 9.0 5.0 4.0 0.0 0.0 0.0 4.0 14.0 - - - 75.0 50.0 100.0 - 92.2 87.5
Karson Templin - 1 15.6 8.0 3.0 3.0 2.0 1.0 1.0 7.0 9.0 - - - 57.1 0.0 0.0 - 53.8 57.1
Jordy Barnes - 1 15.0 7.0 2.0 3.0 2.0 0.0 3.0 4.0 7.0 - - - 50.0 100.0 50.0 - 71.7 75.0
Drake Allen - 1 20.3 4.0 6.0 9.0 2.0 1.0 2.0 4.0 16.0 31 1.5 6.7 50.0 0.0 0 -2.19 50.0 50.0
Luke Kearney - 1 14.3 0.0 2.0 1.0 0.0 0.0 1.0 1.0 1.0 - - - 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