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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

2012 Team Stats (2 games)

85.5
PPG
83.0
Opp
+2.5
Margin
48.5%
FG%
26.8%
3P%
82.1%
FT%
39.5
RPG
12.5
APG
14.0
TO
-
Est. poss./game
71.6
Adj PPG
74.3
Adj Opp PPG
#216
Scoring Rank

Model Outputs

2011-2012
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 → 957 (#190) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 859 (#273) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +101 elo More → 995 (#176) HCA +101 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.2 More → -3.0 (#216) HCA +3.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More → +0.0 (#170) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.475 (#177) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.2 More → 0.382 (#209) AdjNet -4.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.2 More → 0.380 (#209) AdjNet -4.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.6 | AdjD 74.3 More → 0.439 (#216) AdjO 71.6 | AdjD 74.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.0 | AdjD 72.8 More → 0.527 (#141) AdjO 74.0 | AdjD 72.8
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 → 0.448 (#194) 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 → 0.466 (#188) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 139 | GP 24 More → 929 (#217) RD 139 | GP 24

2012 Schedule & Results

Date Vs/At Opponent Result Score
2011-11-15 @ Portland State Vikings L 65 - 66
2011-11-19 vs San Francisco Dons L 63 - 69
2011-11-22 @ Montana State Bobcats W 85 - 73
2011-11-28 vs Evergreen State Geoducks W 77 - 54
2011-12-01 vs Stanford Cardinal L 49 - 72
2011-12-04 @ Harvard Crimson L 70 - 80
2011-12-11 vs Idaho Vandals L 62 - 73
2011-12-14 @ Arkansas State Red Wolves L 74 - 87
2011-12-17 @ Utah State Aggies L 53 - 78
2011-12-21 vs Virginia Cavaliers L 77 - 83
2011-12-29 vs Omaha Mavericks W 91 - 72
2011-12-30 vs San José State Spartans L 74 - 84
2012-01-07 @ Utah Valley Wolverines L 72 - 77
2012-01-10 @ Washington Huskies L 83 - 91
2012-01-13 vs Utah Valley Wolverines L 74 - 84
2012-01-16 vs Eastern Washington Eagles W 91 - 78
2012-01-19 vs Utah State Aggies W 73 - 66
2012-01-24 @ UC Irvine Anteaters L 67 - 78
2012-02-04 vs Arkansas State Red Wolves W 75 - 69
2012-02-07 @ Idaho Vandals L 69 - 70
2012-02-14 vs Northwest University Eagles W 90 - 58
2012-02-16 vs Pepperdine Waves W 81 - 70
2012-02-20 vs UC Davis Aggies W 73 - 59
2012-02-23 @ Fresno State Bulldogs L 72 - 78
2012-02-29 vs Longwood Lancers W 111 - 74
2012-03-10 vs Portland State Vikings W 94 - 83

2012 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%
Aaron Broussard Aaron Broussard F 26 29.1 17.7 6.5 0.9 1.6 0.1 1.7 4.7 20.3 72 22 3.3 4.7 50.8 36.4 60.0 3.11 161.8 55.7
Sterling Carter Sterling Carter G 26 21.9 10.0 3.3 1.3 0.8 0.1 1.5 2.9 11.1 69 22 3.1 6.0 40.0 41.5 83.3 3.15 162.6 54.7
Eric Wallace Eric Wallace G-F 26 24.3 9.4 7.7 0.5 0.8 1.4 1.9 2.3 15.5 19 22 0.9 1.5 50.8 0.0 45.0 -2.26 174.8 50.8
Clarence Trent Clarence Trent F 26 19.8 9.4 4.4 0.9 1.1 0.5 2.0 2.0 12.3 36 22 1.6 3.5 42.3 23.1 100.0 0.88 226.0 45.2
Cervante Burrell Cervante Burrell G 24 23.7 8.0 2.9 4.4 1.2 0.0 2.0 1.9 12.6 36 20 1.8 3.1 42.2 0 82.1 -0.56 168.4 42.2
Prince Obasi Prince Obasi G 26 20.5 5.0 2.4 2.7 1.0 0.1 1.4 0.6 9.2 -43 22 -2.0 -3.9 46.7 33.3 87.5 -2.77 292.6 53.3
Chad Rasmussen Chad Rasmussen F 26 18.3 4.7 1.4 1.3 0.3 0.1 1.2 1.1 5.5 15 22 0.7 1.6 32.1 33.3 100.0 -1.01 211.2 48.2
Louis Green Louis Green C 22 12.3 4.1 2.8 0.2 0.1 0.5 1.1 0.4 6.2 -39 20 -1.9 -7.9 55.6 0 100.0 -3.58 460.5 55.6
Jarell Flora Jarell Flora G 24 9.0 3.3 1.3 0.2 0.2 0.2 0.4 0.8 4.0 -45 20 -2.2 -11.4 50.0 42.9 50.0 -5.19 191.6 65.0
Allen Tate Allen Tate G 22 14.2 2.9 2.7 0.8 1.2 0.0 1.2 0.4 6.1 -54 20 -2.7 -8.5 50.0 0.0 50.0 -4.22 360.4 50.0
T.J. Diop T.J. Diop F 22 9.6 2.4 2.0 0.5 0.3 0.2 0.6 0.6 4.0 -6 18 -0.3 -1.4 53.8 0 33.3 -1.59 166.2 53.8
Gavin Gilmore Gavin Gilmore F 12 9.2 1.8 1.8 0.3 0.2 0.2 0.8 0.3 3.2 -25 11 -2.3 -13.0 25.0 0 0 -2.72 262.5 25.0
Obie Hurt Obie Hurt - 6 5.3 0.7 1.5 0.3 0.0 0.0 1.2 0.0 1.3 - - - - 0 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