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Seattle U

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Also known as: Seattle U Redhawks, Seattle
Program History
Coach: Chris Victor

2013 Team Stats (2 games)

53.5
PPG
85.0
Opp
-31.5
Margin
32.8%
FG%
26.5%
3P%
57.1%
FT%
36.5
RPG
9.5
APG
20.0
TO
-
Est. poss./game
63.7
Adj PPG
67.9
Adj Opp PPG
#231
Scoring Rank

Model Outputs

2012-2013
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 → 835 (#263) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 772 (#315) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More → 865 (#328) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More → -4.3 (#227) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More → -4.5 (#235) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.356 (#231) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.9 More → 0.364 (#211) AdjNet -4.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.9 More → 0.362 (#211) AdjNet -4.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.7 | AdjD 67.9 More → 0.407 (#231) AdjO 63.7 | AdjD 67.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.8 | AdjD 64.9 More → 0.430 (#234) AdjO 61.8 | AdjD 64.9
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 → 0.327 (#260) 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 → 0.332 (#262) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 143 | GP 29 More → 773 (#312) RD 143 | GP 29

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-11 vs Montana State Bobcats W 87 - 72
2012-11-17 @ Virginia Cavaliers L 43 - 83
2012-11-21 vs Pacific Lutheran Lutes W 58 - 49
2012-11-28 @ Stanford Cardinal L 57 - 68
2012-12-02 vs Boise State Broncos L 64 - 87
2012-12-10 @ Eastern Washington Eagles W 75 - 69
2012-12-13 vs Washington Huskies L 74 - 87
2012-12-17 vs Jackson State Tigers L 82 - 91
2012-12-19 vs Northern Illinois Huskies W 75 - 48
2012-12-22 vs Campbell Fighting Camels W 72 - 49
2012-12-29 vs Idaho Vandals L 64 - 71
2013-01-03 @ Utah State Aggies L 66 - 75
2013-01-05 @ San José State Spartans L 71 - 76
2013-01-10 vs New Mexico State Aggies L 82 - 83
2013-01-12 vs Denver Pioneers L 51 - 64
2013-01-17 @ UT Arlington Mavericks W 61 - 44
2013-01-19 @ Louisiana Tech Bulldogs L 71 - 78
2013-01-24 vs UTSA Roadrunners L 75 - 78
2013-01-26 vs Texas State Bobcats L 83 - 86
2013-01-31 vs San José State Spartans W 56 - 48
2013-02-02 vs Utah State Aggies L 46 - 68
2013-02-07 @ Denver Pioneers L 55 - 72
2013-02-09 @ New Mexico State Aggies L 57 - 60
2013-02-14 vs Louisiana Tech Bulldogs L 58 - 64
2013-02-16 vs UT Arlington Mavericks L 63 - 65
2013-02-28 @ Texas State Bobcats L 65 - 67
2013-03-02 @ UTSA Roadrunners W 53 - 37
2013-03-06 vs Cal State Bakersfield Roadrunners L 74 - 75
2013-03-09 @ Idaho Vandals L 72 - 76
2013-03-12 @ Texas State Bobcats L 56 - 68

2013 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Clarence Trent Clarence Trent F 30 21.7 9.8 5.8 1.2 1.0 0.6 2.7 1.2 14.6 -50 24 -2.1 -4.0 40.0 28.6 76.5 -1.38 347.2 42.9
Chad Rasmussen Chad Rasmussen F 30 25.6 9.6 2.8 1.2 0.8 0.1 1.5 0.6 12.4 -26 24 -1.1 -1.8 31.6 29.4 0 -0.12 760.5 44.7
Deshaun Sunderhaus Deshaun Sunderhaus F 29 22.9 9.4 6.0 0.7 0.4 0.8 2.3 1.2 13.7 30 23 1.3 2.4 41.7 60.0 80.0 2.77 339.1 45.8
Prince Obasi Prince Obasi G 30 29.8 8.3 4.6 4.3 1.1 0.2 2.7 0.7 15.2 -39 24 -1.6 -2.3 45.0 50.0 66.7 0.38 517.5 52.5
Sterling Carter Sterling Carter G 8 18.6 7.2 2.6 1.9 1.8 0.2 2.0 3.9 7.9 -28 6 -4.7 -11.4 22.6 27.8 16.7 -1.68 86.2 30.6
D'Vonne Pickett D'Vonne Pickett G 30 25.4 7.0 3.4 3.3 1.4 0.2 2.4 0.7 12.3 -22 24 -0.9 -1.5 55.0 57.1 45.5 1.35 424.7 65.0
Jarell Flora Jarell Flora G 28 16.8 5.9 2.4 0.8 1.0 0.2 1.3 0.4 8.6 -24 23 -1.0 -2.7 45.5 33.3 100.0 -0.64 721.2 50.0
Louis Green Louis Green C 30 17.3 5.6 4.1 0.3 0.1 0.6 1.3 0.5 8.9 -51 24 -2.1 -4.9 40.0 0 66.7 -3.02 511.6 40.0
Allen Tate Allen Tate G 24 15.7 3.5 3.1 0.7 1.0 0.1 1.2 0.7 6.5 -47 18 -2.6 -7.7 50.0 25.0 66.7 -2.7 242.5 53.1
Luiz Bidart Luiz Bidart G 25 13.2 2.8 2.0 1.0 0.2 0.0 1.0 0.1 5.0 9 20 0.5 1.5 0.0 0 0 0.76 1775.0 0.0
Jack Crook Jack Crook C 27 10.3 2.5 2.1 0.1 0.3 0.1 1.0 0.4 3.6 -35 22 -1.6 -7.0 16.7 0.0 60.0 -2.3 235.9 16.7
T.J. Diop T.J. Diop F 20 6.9 1.6 1.6 0.2 0.1 0.1 0.7 0.1 2.7 -18 17 -1.1 -6.7 66.7 0 50.0 -2.85 399.5 66.7
David Trimble David Trimble G 16 4.9 0.4 0.5 0.6 0.1 0.0 0.4 0.1 1.0 -14 14 -1.0 -7.9 0.0 0 50.0 -1.59 104.2 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