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Washington

Also known as: Washington Huskies, Washington
Program History

2014 Team Stats (8 games)

71.1
PPG
71.4
Opp
-0.2
Margin
43.2%
FG%
39.5%
3P%
76.0%
FT%
34.0
RPG
12.8
APG
12.4
TO
-
Est. poss./game
75.3
Adj PPG
70.9
Adj Opp PPG
#101
Scoring Rank

Model Outputs

2013-2014
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†’ 1076 (#114) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1082 (#108) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 995 (#180) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ +5.0 (#98) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +6.0 (#90) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.493 (#175) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.7 More โ†’ 0.732 (#90) AdjNet +8.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.8 More โ†’ 0.734 (#90) AdjNet +8.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.3 | AdjD 70.9 More โ†’ 0.597 (#101) AdjO 75.3 | AdjD 70.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 69.4 More โ†’ 0.554 (#112) AdjO 71.8 | AdjD 69.4
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†’ 0.630 (#105) 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†’ 0.621 (#106) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 135 | GP 32 More โ†’ 1109 (#96) RD 135 | GP 32

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-10 vs Seattle U Redhawks W 88 - 78
2013-11-14 vs UC Irvine Anteaters L 72 - 86
2013-11-17 vs Eastern Washington Eagles W 92 - 80
2013-11-21 vs Indiana Hoosiers L 84 - 102
2013-11-22 vs Boston College Eagles L 78 - 89
2013-11-26 vs Montana Grizzlies W 83 - 79
2013-11-30 vs Long Beach State Beach W 92 - 89
2013-12-08 @ San Diego State Aztecs L 63 - 70
2013-12-14 vs Idaho State Bengals W 85 - 66
2013-12-17 @ Tulane Green Wave W 73 - 62
2013-12-22 vs UConn Huskies L 70 - 82
2013-12-27 vs Mississippi Valley State Delta Devils W 95 - 80
2013-12-29 vs Hartford Hawks W 73 - 67
2014-01-02 @ Arizona State Sun Devils W 76 - 65
2014-01-04 @ Arizona Wildcats L 62 - 71
2014-01-08 vs Utah Utes W 59 - 57
2014-01-12 vs Colorado Buffaloes W 71 - 54
2014-01-15 @ California Golden Bears L 56 - 82
2014-01-18 @ Stanford Cardinal L 67 - 79
2014-01-23 vs Oregon Ducks W 80 - 76
2014-01-25 vs Oregon State Beavers W 87 - 81
2014-02-01 @ Washington State Cougars L 67 - 72
2014-02-06 @ Utah Utes L 69 - 78
2014-02-09 @ Colorado Buffaloes L 65 - 91
2014-02-12 vs Stanford Cardinal W 64 - 60
2014-02-15 vs California Golden Bears L 59 - 72
2014-02-19 @ Oregon Ducks L 71 - 78
2014-02-22 @ Oregon State Beavers W 86 - 62
2014-02-28 vs Washington State Cougars W 72 - 49
2014-03-06 vs UCLA Bruins L 82 - 91
2014-03-08 vs USC Trojans W 82 - 75
2014-03-12 @ Utah Utes L 61 - 67

2014 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%
C.J. Wilcox C.J. Wilcox G 29 34.9 18.6 3.7 2.4 1.0 0.8 1.6 4.7 20.1 86 27 3.2 4.0 44.4 44.3 90.9 3.85 185.9 55.9
Nigel Williams-Goss Nigel Williams-Goss G 29 33.7 13.7 4.6 4.4 1.1 0.1 2.8 3.5 17.7 45 27 1.7 2.1 42.6 36.0 66.7 0.63 184.5 47.0
Andrew Andrews Andrew Andrews G 29 30.1 11.6 3.8 2.8 1.2 0.1 1.6 2.7 15.1 35 27 1.3 1.8 33.8 30.4 73.2 -1.75 176.2 38.3
Perris Blackwell Perris Blackwell F 29 27.4 9.8 6.6 0.9 0.4 0.8 1.2 2.3 15.1 72 26 2.8 4.2 43.9 0 56.2 1.24 195.1 43.9
Darin Johnson Darin Johnson G 28 15.9 5.8 1.4 0.5 0.4 0.2 1.1 1.8 5.5 -22 27 -0.8 -2.2 46.0 35.7 81.0 -2.03 136.7 51.0
Mike Anderson Mike Anderson G 29 25.2 5.5 5.6 1.8 0.5 0.2 1.1 1.2 11.2 112 27 4.1 7.1 58.8 50.0 76.7 3.13 168.4 64.7
Desmond Simmons Desmond Simmons F 21 20.5 5.3 4.6 0.5 0.5 0.0 0.9 1.1 9.0 -22 17 -1.3 -2.6 34.8 25.0 84.6 0.16 193.2 37.0
Shawn Kemp Shawn Kemp F 29 14.8 4.4 1.7 0.0 0.1 0.2 0.6 0.8 5.1 -17 27 -0.6 -1.9 54.2 0 81.8 -1.72 221.9 54.2
Quinn Sterling Quinn Sterling G 6 2.3 1.3 0.5 0.2 0.0 0.0 0.3 0.0 1.7 -3 7 -0.4 -7.9 0 0 0 -1.29 0 0
Jahmel Taylor Jahmel Taylor G 15 4.2 1.3 0.2 0.1 0.2 0.0 0.3 0.1 1.3 6 12 0.5 5.8 50.0 50.0 0 -0.05 475.0 75.0
Hikeem Stewart Hikeem Stewart G 4 5.2 1.2 0.5 0.0 0.0 0.0 0.5 0.2 1.0 0 5 0.0 0.0 0.0 0.0 0 -1.44 250.0 0.0
Connor Smith Connor Smith F 5 1.2 0.4 0.2 0.0 0.0 0.0 0.0 0.0 0.6 -3 5 -0.6 -23.5 0 0 0 -1.48 0 0
Gilles Dierickx Gilles Dierickx C 12 4.7 0.2 0.7 0.2 0.1 0.4 0.4 0.1 1.1 -47 13 -3.6 -30.5 0.0 0 0 -7.92 150.0 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