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Seattle U

Season: 2027 2026 2025 2024 2023 2022 2021 2020 2019 2018
Also known as: Seattle U Redhawks, Seattle
Program History
Coach: Cameron Dollar

2013 Team Stats (3 games)

59.3
PPG
82.7
Opp
-23.3
Margin
35.5%
FG%
25.9%
3P%
58.5%
FT%
39.7
RPG
10.7
APG
21.3
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

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%
Clarence Trent Clarence Trent F 30 21.7 9.8 5.8 1.2 1.0 0.6 2.7 1.6 14.2 -46 25 -1.8 -3.5 42.9 30.0 68.0 -1.46 245.8 45.9
Chad Rasmussen Chad Rasmussen F 30 25.6 9.6 2.8 1.2 0.8 0.1 1.5 1.1 11.9 -29 25 -1.2 -2.0 31.2 26.1 0 -0.56 451.6 40.6
Deshaun Sunderhaus Deshaun Sunderhaus F 29 22.9 9.4 6.0 0.7 0.4 0.8 2.3 1.5 13.4 33 24 1.4 2.5 40.9 60.0 80.0 2.73 283.1 44.3
Prince Obasi Prince Obasi G 30 29.8 8.3 4.6 4.3 1.1 0.2 2.7 1.1 14.8 -31 25 -1.2 -1.7 37.5 33.3 63.6 0.78 336.6 43.8
Sterling Carter Sterling Carter G 8 18.6 7.2 2.6 1.9 1.8 0.2 2.0 3.9 7.9 -18 7 -2.6 -6.1 22.6 27.8 16.7 -0.95 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 1.0 12.0 -23 25 -0.9 -1.5 55.2 50.0 45.5 1.34 311.8 63.8
Jarell Flora Jarell Flora G 28 16.8 5.9 2.4 0.8 1.0 0.2 1.3 0.6 8.4 -24 23 -1.0 -2.7 47.1 37.5 100.0 -0.79 473.1 55.9
Louis Green Louis Green C 30 17.3 5.6 4.1 0.3 0.1 0.6 1.3 0.6 8.8 -52 25 -2.1 -4.8 38.9 0 57.1 -3.18 396.1 38.9
Allen Tate Allen Tate G 24 15.7 3.5 3.1 0.7 1.0 0.1 1.2 0.7 6.5 -45 19 -2.4 -6.7 50.0 25.0 66.7 -2.67 242.5 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 0.74 1775.0 0.0
Jack Crook Jack Crook C 27 10.3 2.5 2.1 0.1 0.3 0.1 1.0 0.5 3.6 -27 23 -1.2 -5.0 15.4 0.0 60.0 -1.9 220.4 15.4
T.J. Diop T.J. Diop F 20 6.9 1.6 1.6 0.2 0.1 0.1 0.7 0.2 2.6 -18 17 -1.1 -6.7 75.0 0 83.3 -2.91 233.4 75.0
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 -1.71 104.2 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