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Utah Tech

Season: 2026 2020 2019 2017 2016 2015 2014 2013
Also known as: Utah Tech
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 → 1026 (#194) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1022 (#245) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1021 (#230) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -0.1 (#367) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.843 (#217) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +12.9 More → 0.843 (#163) NetEff +12.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.3 More → 0.510 (#404) AdjNet +0.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.6 More → 0.517 (#406) AdjNet +0.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.6 | AdjD 72.7 More → 0.542 (#364) AdjO 74.6 | AdjD 72.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.1 | AdjD 65.4 More → 0.515 (#322) AdjO 66.1 | AdjD 65.4
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 → 0.507 (#348) 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 → 0.516 (#336) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-29 vs Westminster (UT) W 81 - 70

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%
Kaylee Borden - 1 32.6 25.0 5.0 2.0 0.0 0.0 2.0 12.0 18.0 - - - 66.7 50.0 72.7 - 74.2 70.8
Maddie Warren - 1 25.3 14.0 5.0 2.0 4.0 1.0 3.0 12.0 11.0 - - - 50.0 40.0 0 - 58.3 58.3
Rose Boisnel - 1 20.8 13.0 4.0 1.0 2.0 0.0 7.0 10.0 3.0 - - - 50.0 66.7 33.3 - 57.4 60.0
Chardonnay Hartley - 1 31.5 11.0 2.0 6.0 2.0 1.0 4.0 6.0 12.0 - - - 50.0 100.0 57.1 - 60.6 58.3
Lauren Crocker - 1 24.1 6.0 9.0 0.0 0.0 4.0 3.0 7.0 9.0 - - - 28.6 20.0 50.0 - 38.1 35.7
Brie Crittendon - 1 30.6 6.0 13.0 3.0 1.0 0.0 0.0 5.0 18.0 - - - 40.0 50.0 50.0 - 51.0 50.0
Andjela Colic - 1 6.5 3.0 1.0 1.0 0.0 0.0 1.0 3.0 1.0 - - - 33.3 100.0 0.0 - 38.7 50.0
Paige Cofer - 1 14.7 3.0 3.0 0.0 2.0 0.0 2.0 4.0 2.0 - - - 25.0 0 100.0 - 33.8 25.0
Annalyse Shimada - 1 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Merceius Mili - 1 2.4 0.0 1.0 1.0 0.0 0.0 0.0 0.0 2.0 - - - 0 0 0 - 0 0
Calyn Dallas - 1 11.0 0.0 2.0 0.0 0.0 0.0 0.0 3.0 -1.0 25 1.8 4.4 0.0 0.0 0 4.51 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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