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Seattle U

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Seattle U Redhawks, Seattle
Program History
Coach: Chris Victor

2022 Team Stats (2 games)

82.5
PPG
65.8
Opp
+7.8
Margin
47.9%
FG%
44.6%
3P%
74.3%
FT%
43.5
RPG
13.0
APG
14.5
TO
81.7
Pace

Model Outputs

2021-2022
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 → 1175 (#150) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1240 (#131) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 1066 (#99) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +26.4 (#127) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +14.1 (#143) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -2.7 More → 0.426 (#148) NetEff -2.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.3 | AdjD 65.9 More → 0.620 (#102) AdjO 71.3 | AdjD 65.9
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 → 0.803 (#117) 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 → 0.777 (#113) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 134 | GP 30 More → 1182 (#83) RD 134 | GP 30

2022 Schedule & Results

Date Vs/At Opponent Result Score
2021-11-10 vs Alcorn State Braves W 69 - 66
2021-11-12 @ Washington State Cougars L 61 - 79
2021-11-14 vs Idaho State Bengals W 77 - 51
2021-11-22 vs Arkansas-Pine Bluff Golden Lions W 77 - 56
2021-11-23 vs Pacific Lutheran Lutes W 89 - 40
2021-11-27 vs St. Thomas - Minnesota Tommies W 81 - 64
2021-12-01 vs McNeese Cowboys W 78 - 62
2021-12-05 vs VMI Keydets L 82 - 89
2021-12-08 @ UNLV Rebels L 56 - 76
2021-12-12 vs UC San Diego Tritons W 73 - 51
2021-12-18 @ Washington Huskies L 56 - 64
2021-12-22 vs Northwest University Eagles W 100 - 68
2022-01-12 vs Utah Valley Wolverines W 71 - 65
2022-01-15 vs Utah Tech Trailblazers W 79 - 68
2022-01-17 @ California Baptist Lancers W 92 - 85
2022-01-20 @ Abilene Christian Wildcats W 72 - 62
2022-01-22 @ Tarleton Texans W 76 - 68
2022-01-26 vs Stephen F. Austin Lumberjacks W 70 - 62
2022-01-29 vs Sam Houston Bearkats W 78 - 63
2022-02-03 @ Grand Canyon Lopes L 66 - 78
2022-02-05 @ New Mexico State Aggies L 64 - 79
2022-02-10 vs UT Rio Grande Valley Vaqueros W 67 - 59
2022-02-12 vs Lamar Cardinals W 76 - 50
2022-02-16 @ UT Rio Grande Valley Vaqueros W 102 - 62
2022-02-19 vs California Baptist Lancers W 67 - 64
2022-02-21 vs New Mexico State Aggies L 55 - 68
2022-02-24 @ Utah Valley Wolverines L 52 - 67
2022-02-26 @ Utah Tech Trailblazers W 73 - 65
2022-03-05 vs Chicago State Cougars W 74 - 66
2022-03-11 vs Abilene Christian Wildcats L 76 - 78

2022 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%
Darrion Trammell Darrion Trammell - 2 26.5 25.5 4.0 3.0 1.5 0.0 1.5 15.5 17.0 171 5.5 6.7 48.4 33.3 81.0 0.9 63.4 54.8
R. Economou R. Economou G 1 19.0 20.0 2.0 0.0 1.0 0.0 0.0 10.0 13.0 63 4.8 16.2 70.0 75.0 0 0.46 100.0 100.0
C. Tyson C. Tyson - 29 29.4 14.2 5.1 0.9 0.6 0.1 1.3 0.5 19.1 - - - 33.3 33.3 0 0.58 1376.7 46.7
R. Grigsby R. Grigsby - 30 27.9 13.1 3.7 1.0 0.7 0.6 1.3 0.7 17.0 139 4.5 6.5 57.1 22.2 50.0 0.51 895.8 61.9
J. Wall J. Wall F 1 12.0 11.0 0.0 0.0 0.0 0.0 0.0 6.0 5.0 15 3.0 17.7 66.7 60.0 0 0.25 91.7 91.7
E. Udenyi E. Udenyi - 30 23.1 6.0 5.7 2.1 0.7 0.5 1.2 0.4 13.3 140 4.4 7.7 69.2 0 0 0.82 688.5 69.2
V. Pandza V. Pandza - 24 19.0 4.8 2.8 0.6 0.6 0.1 1.1 0.4 7.4 - - - 44.4 33.3 0.0 - 576.9 55.6
Kobe Williamson Kobe Williamson - 29 17.1 4.6 4.3 0.7 0.4 1.0 0.5 0.3 10.2 87 2.9 6.9 44.4 50.0 0 -0.01 744.4 61.1
V. Rajković V. Rajković - 28 18.0 4.3 4.4 1.1 0.6 0.1 0.8 0.6 9.1 137 4.6 9.5 44.4 37.5 100.0 0.59 325.4 52.8
B. Chatfield B. Chatfield F 29 13.8 4.2 3.3 0.2 0.3 0.9 0.9 0.2 7.9 94 3.0 8.7 42.9 0 75.0 0.62 702.1 42.9
K. Brown K. Brown - 2 20.5 4.0 2.5 2.0 0.5 0.0 2.0 3.0 4.0 -44 -4.0 -18.7 16.7 100.0 62.5 0.99 42.0 25.0
J. Nafarrete J. Nafarrete - 3 4.0 2.7 1.0 0.7 0.3 0.0 0.3 0.3 4.0 - - - 0.0 0 0 - 400.0 0.0
M. Levis M. Levis - 7 4.7 1.1 0.9 0.3 0.0 0.0 0.3 0.3 1.7 - - - 50.0 0 0 0.29 200.0 50.0
Jared Pearre Jared Pearre F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
M. Vail M. Vail F 1 6.0 0.0 2.0 0.0 1.0 0.0 0.0 2.0 1.0 15 0.9 5.5 0.0 0.0 0 0.17 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