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Seattle U

Also known as: Seattle U Redhawks, Seattle
Program History

2018 Team Stats (2 games)

78.0
PPG
72.0
Opp
+6.0
Margin
42.0%
FG%
43.2%
3P%
72.5%
FT%
42.5
RPG
7.5
APG
11.5
TO
-
Est. poss./game
70.6
Adj PPG
72.5
Adj Opp PPG
#191
Scoring Rank

Model Outputs

2017-2018
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 โ†’ 967 (#196) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 995 (#177) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 982 (#203) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -2.0 (#191) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -3.1 (#215) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.530 (#152) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.8 More โ†’ 0.420 (#194) AdjNet -2.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.9 More โ†’ 0.417 (#194) AdjNet -2.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.6 | AdjD 72.5 More โ†’ 0.459 (#191) AdjO 70.6 | AdjD 72.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.0 | AdjD 71.4 More โ†’ 0.469 (#205) AdjO 70.0 | AdjD 71.4
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 โ†’ 0.451 (#196) 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 โ†’ 0.453 (#195) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 118 | GP 31 More โ†’ 988 (#183) RD 118 | GP 31

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 @ Saint Louis Billikens L 46 - 62
2017-11-12 vs Puget Sound Loggers W 121 - 70
2017-11-15 @ Washington State Cougars L 59 - 75
2017-11-18 @ Detroit Mercy Titans W 102 - 71
2017-11-19 @ Belmont Bruins L 77 - 90
2017-11-24 @ Washington Huskies L 84 - 89
2017-11-27 vs Idaho State Bengals W 73 - 67
2017-11-30 vs Kennesaw State Owls W 66 - 54
2017-12-03 vs Eastern Washington Eagles W 84 - 65
2017-12-04 vs Pacific Lutheran Lutes W 99 - 69
2017-12-09 @ Saint Mary's Gaels L 73 - 97
2017-12-13 vs Saint Martin's Saints W 88 - 72
2017-12-16 vs Portland Pilots W 89 - 76
2017-12-19 vs California Golden Bears L 59 - 81
2017-12-23 vs Nicholls Colonels W 95 - 89
2017-12-28 vs Grambling Tigers W 93 - 63
2017-12-30 vs UC Riverside Highlanders W 95 - 71
2018-01-06 vs Grand Canyon Lopes L 57 - 73
2018-01-11 vs Chicago State Cougars W 67 - 64
2018-01-13 vs Kansas City Roos W 77 - 75
2018-01-18 @ New Mexico State Aggies L 62 - 75
2018-01-20 @ UT Rio Grande Valley Vaqueros W 79 - 76
2018-01-26 vs Cal State Bakersfield Roadrunners W 59 - 55
2018-02-03 vs Utah Valley Wolverines W 55 - 54
2018-02-08 @ Kansas City Roos L 67 - 74
2018-02-10 @ Chicago State Cougars W 91 - 81
2018-02-15 vs UT Rio Grande Valley Vaqueros W 85 - 68
2018-02-17 vs New Mexico State Aggies W 73 - 63
2018-02-22 @ Grand Canyon Lopes L 64 - 76
2018-02-24 @ Cal State Bakersfield Roadrunners L 57 - 64
2018-03-03 @ Utah Valley Wolverines L 47 - 73
2018-03-08 vs UT Rio Grande Valley Vaqueros W 77 - 60
2018-03-09 @ New Mexico State Aggies L 79 - 84
2018-03-14 vs Central Arkansas Bears L 90 - 92

2018 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Matej Kavas Matej Kavas G 29 31.2 15.2 5.4 1.2 0.4 0.2 2.1 3.0 17.3 134 26 5.2 7.2 44.2 46.5 91.7 2.01 241.0 55.8
Jordan Hill Jordan Hill G 29 33.6 13.9 3.9 3.4 1.2 0.4 2.8 3.6 16.4 103 26 4.0 5.0 42.3 41.7 76.9 -1.27 175.0 51.9
Josh Hearlihy Josh Hearlihy F 28 29.2 12.1 4.2 2.7 0.6 0.2 2.7 2.4 14.8 94 26 3.6 5.6 40.9 39.1 82.6 -1.51 223.3 47.7
Aaron Menzies Aaron Menzies C 30 26.4 11.1 9.0 0.6 0.2 2.2 1.2 2.0 19.9 208 27 7.7 12.4 57.6 0 64.3 6.42 234.2 57.6
Richaud Gittens Richaud Gittens G 29 31.2 10.8 4.9 1.7 1.2 0.2 1.8 2.8 14.2 92 26 3.5 4.8 39.0 34.3 84.2 -1.27 173.2 46.3
Morgan Means Morgan Means G 30 27.1 8.5 3.7 3.0 0.8 0.1 2.2 1.9 11.9 83 27 3.1 4.8 38.6 25.0 58.8 -2.14 197.7 43.0
Aaron Nettles Aaron Nettles G 28 7.9 2.9 0.6 0.3 0.2 0.0 0.3 0.1 3.7 56 25 2.2 11.2 0.0 0.0 100.0 -0.16 1406.2 0.0
Scott Ulaneo Scott Ulaneo C 30 10.7 2.2 2.6 0.7 0.1 0.2 0.8 0.2 4.9 16 27 0.6 2.6 20.0 0.0 40.0 -1.89 356.4 20.0
Collin Huun Collin Huun G 5 2.8 2.2 0.6 0.0 0.0 0.2 0.2 0.2 2.6 14 5 2.8 39.6 0.0 0.0 0 -0.2 550.0 0.0
Mattia Da Campo Mattia Da Campo G 24 7.9 1.7 1.8 0.7 0.4 0.0 0.3 0.2 4.0 - - - - 33.3 0 0.0 - 318.3 33.3
Brennan Corrigan Brennan Corrigan - 4 1.8 1.5 0.0 0.0 0.0 0.0 0.0 0.0 1.5 - - - - 0 0 0 - 0 0
Jake Spurgeon Jake Spurgeon G 17 5.4 1.3 0.8 0.2 0.0 0.1 0.4 0.1 1.8 - - - - 0.0 0.0 0 - 550.0 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