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UIW

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: UIW
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 → 1031 (#250) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1066 (#219) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1025 (#263) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +35.2 (#37) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#59) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +44.1 More → 0.994 (#27) AdjNet +44.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +43.6 More → 0.995 (#30) AdjNet +43.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 95.3 | AdjD 59.7 More → 0.962 (#20) AdjO 95.3 | AdjD 59.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 83.6 | AdjD 69.1 More → 0.789 (#34) AdjO 83.6 | AdjD 69.1
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 → 0.924 (#16) 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 → 0.894 (#20) 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 → 1126 (#133) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-26 vs Texas Lutheran W 117 - 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%
Tahj Staveskie - 1 24.7 21.0 4.0 2.0 1.0 0.0 1.0 11.0 16.0 - - - 72.7 75.0 100.0 - 88.4 86.4
Harrison Reede - 1 24.2 18.0 2.0 0.0 0.0 0.0 1.0 8.0 11.0 - - - 75.0 75.0 0 - 112.5 112.5
Harold Woods - 1 30.7 18.0 17.0 3.0 2.0 0.0 1.0 10.0 29.0 - - - 60.0 0.0 85.7 - 68.8 60.0
Davion Bailey - 1 24.6 17.0 1.0 3.0 0.0 1.0 1.0 12.0 9.0 - - - 50.0 33.3 100.0 - 66.0 62.5
Jordan Pyke - 1 21.7 12.0 4.0 3.0 2.0 0.0 1.0 10.0 10.0 - - - 60.0 0 0.0 - 57.5 60.0
Marcus Glover - 1 18.1 10.0 9.0 3.0 2.0 1.0 1.0 5.0 19.0 - - - 60.0 0 66.7 - 65.4 60.0
Mihael Tomic - 1 16.2 10.0 5.0 1.0 1.0 0.0 0.0 4.0 13.0 - - - 100.0 0 100.0 - 102.5 100.0
Drew Barbee - 1 9.0 7.0 1.0 1.0 0.0 0.0 1.0 2.0 6.0 - - - 50.0 100.0 100.0 - 93.1 75.0
Amani Drummond - 1 4.6 4.0 0.0 1.0 0.0 0.0 0.0 1.0 4.0 - - - 100.0 100.0 50.0 - 106.4 150.0
Love Bettis - 1 13.8 0.0 4.0 1.0 0.0 0.0 1.0 3.0 1.0 - - - 0.0 0.0 0 - 0.0 0.0
Esteban Mann - 1 1.8 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 - - - 0.0 0 0 - 0.0 0.0
Lewis Rowe - 1 10.5 0.0 1.0 1.0 1.0 0.0 1.0 0.0 2.0 - - - 0 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