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Seattle U

Season: 2026 2025 2023 2022 2020 2019 2018 2017 2015 2014
Also known as: Seattle U
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 (#247) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1082 (#183) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1011 (#359) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +37.6 (#27) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#6) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +60.2 More → 0.999 (#3) AdjNet +60.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +59.7 More → 0.999 (#2) AdjNet +59.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 95.5 | AdjD 51.3 More → 0.982 (#3) AdjO 95.5 | AdjD 51.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 82.9 | AdjD 70.3 More → 0.760 (#54) AdjO 82.9 | AdjD 70.3
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 → 0.926 (#14) 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 → 0.901 (#18) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 340 | GP 1 More → 1101 (#174) RD 340 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-03 vs Puget Sound W 97 - 43

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%
Jojo Murphy - 1 25.6 18.0 4.0 1.0 1.0 0.0 0.0 17.0 7.0 62 3.1 12.1 47.1 33.3 0 3.12 52.9 52.9
Ray Adams - 1 23.6 11.0 10.0 3.0 4.0 0.0 1.0 11.0 16.0 - - - 36.4 0.0 60.0 - 41.7 36.4
Brayden Maldonado - 1 10.6 11.0 0.0 1.0 1.0 0.0 2.0 5.0 6.0 - - - 60.0 100.0 100.0 - 81.4 70.0
Houran Dan - 1 11.2 10.0 5.0 0.0 0.0 0.0 0.0 5.0 10.0 - - - 80.0 0 100.0 - 85.0 80.0
Austin Maurer - 1 15.1 10.0 6.0 0.0 2.0 0.0 1.0 5.0 12.0 - - - 60.0 0.0 100.0 - 74.0 60.0
Jun Seok Yeo - 1 11.8 9.0 3.0 0.0 1.0 0.0 0.0 2.0 11.0 - - - 100.0 100.0 66.7 - 97.0 125.0
Brock Felder - 1 14.5 7.0 8.0 1.0 1.0 2.0 1.0 3.0 15.0 - - - 66.7 0 50.0 - 62.1 66.7
Yuto Kawashima - 1 14.4 6.0 3.0 0.0 0.0 0.0 0.0 4.0 5.0 - - - 50.0 50.0 50.0 - 61.5 62.5
Miles Amos - 1 19.8 5.0 1.0 2.0 2.0 0.0 1.0 2.0 7.0 - - - 50.0 0 60.0 - 59.5 50.0
John Christofilis - 1 20.5 5.0 2.0 0.0 0.0 0.0 0.0 5.0 2.0 - - - 40.0 0.0 50.0 - 42.5 40.0
Will Heimbrodt - 1 14.5 4.0 4.0 1.0 0.0 1.0 2.0 3.0 5.0 - - - 66.7 0 0 - 66.7 66.7
Maleek Arington - 1 7.3 1.0 2.0 3.0 2.0 0.0 0.0 0.0 8.0 - - - 0 0 50.0 - 56.8 0
Stratos Papastavrou - 1 11.2 0.0 4.0 0.0 0.0 0.0 1.0 5.0 -2.0 - - - 0.0 0.0 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