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Washington

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Washington Huskies, Washington
Program History
Coach: Lorenzo Romar

2016 Team Stats (7 games)

78.0
PPG
84.0
Opp
-6.0
Margin
41.4%
FG%
35.8%
3P%
71.1%
FT%
34.7
RPG
14.9
APG
15.0
TO
-
Est. poss./game
85.0
Adj PPG
76.4
Adj Opp PPG
#65
Scoring Rank

Model Outputs

2015-2016
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 → 1188 (#72) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1114 (#99) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More → 998 (#173) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +9.5 (#60) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +7.3 (#78) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.606 (#113) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.4 More → 0.840 (#58) AdjNet +14.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.5 More → 0.843 (#58) AdjNet +14.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 85.0 | AdjD 76.4 More → 0.685 (#65) AdjO 85.0 | AdjD 76.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 83.3 | AdjD 79.8 More → 0.578 (#102) AdjO 83.3 | AdjD 79.8
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 → 0.698 (#76) 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 → 0.678 (#83) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 34 More → 1147 (#78) RD 102 | GP 34

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Texas Longhorns W 77 - 71
2015-11-19 vs Mount St. Mary's Mountaineers W 100 - 67
2015-11-21 vs Pennsylvania Quakers W 104 - 67
2015-11-25 @ Gonzaga Bulldogs L 64 - 80
2015-11-26 vs Texas Longhorns L 70 - 82
2015-11-27 vs Charlotte 49ers W 71 - 66
2015-12-06 vs Cal State Fullerton Titans W 87 - 69
2015-12-08 vs TCU Horned Frogs W 92 - 67
2015-12-12 vs Montana Grizzlies W 92 - 62
2015-12-19 vs Oakland Golden Grizzlies L 83 - 97
2015-12-22 vs Seattle U Redhawks W 79 - 68
2015-12-28 vs UC Santa Barbara Gauchos L 78 - 83
2016-01-01 vs UCLA Bruins W 96 - 93
2016-01-03 vs USC Trojans W 87 - 85
2016-01-09 @ Washington State Cougars W 99 - 95
2016-01-14 @ Arizona Wildcats L 67 - 99
2016-01-16 @ Arizona State Sun Devils W 89 - 85
2016-01-20 vs Colorado Buffaloes W 95 - 83
2016-01-24 vs Utah Utes L 75 - 80
2016-01-28 @ UCLA Bruins W 86 - 84
2016-01-30 @ USC Trojans L 88 - 98
2016-02-03 vs Arizona State Sun Devils W 95 - 83
2016-02-06 vs Arizona Wildcats L 72 - 77
2016-02-10 @ Utah Utes L 82 - 90
2016-02-13 @ Colorado Buffaloes L 80 - 81
2016-02-18 vs California Golden Bears L 75 - 78
2016-02-20 vs Stanford Cardinal W 64 - 53
2016-02-24 @ Oregon State Beavers L 81 - 82
2016-02-28 @ Oregon Ducks L 73 - 86
2016-03-02 vs Washington State Cougars W 99 - 91
2016-03-09 vs Stanford Cardinal W 91 - 68
2016-03-10 @ Oregon Ducks L 77 - 83
2016-03-15 vs Long Beach State Beach W 107 - 102
2016-03-21 @ San Diego State Aztecs L 78 - 93

2016 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%
Andrew Andrews Andrew Andrews G 31 33.8 21.2 5.7 4.9 1.4 0.0 2.8 4.7 25.7 119 30 4.0 5.0 41.4 39.7 84.6 3.05 171.9 49.3
Dejounte Murray Dejounte Murray - 31 33.4 15.8 6.2 4.3 1.7 0.3 3.4 4.8 19.9 88 30 2.9 3.7 40.7 29.7 64.6 1.02 142.9 44.3
Marquese Chriss Marquese Chriss - 31 24.8 13.7 5.2 0.7 1.0 1.6 2.1 4.1 16.1 62 30 2.1 3.5 52.8 41.7 67.4 0.85 146.0 56.7
Noah Dickerson Noah Dickerson F 30 22.7 7.4 5.3 0.3 0.8 0.7 1.4 1.8 11.3 95 29 3.3 6.1 38.9 0.0 52.9 2.75 160.2 38.9
David Crisp David Crisp G 31 21.3 7.0 2.5 1.6 0.8 0.1 1.2 2.5 8.4 3 30 0.1 0.2 34.2 30.9 100.0 -1.52 135.0 45.4
Malik Dime Malik Dime F 31 21.3 6.8 5.7 0.1 0.4 2.5 0.9 1.6 13.0 59 30 2.0 4.0 56.0 0 70.4 1.4 170.5 56.0
Matisse Thybulle Matisse Thybulle - 31 24.1 6.1 3.2 1.7 1.1 1.0 1.3 2.0 9.7 71 30 2.4 4.2 44.4 44.4 71.4 -0.24 131.5 54.0
Dominic Green Dominic Green F 27 11.6 2.8 1.1 0.2 0.1 0.3 0.4 1.0 3.2 -49 26 -1.9 -6.7 26.9 33.3 0.0 -2.35 137.3 38.5
Devenir Duruisseau Devenir Duruisseau F 14 8.6 2.1 2.1 0.0 0.1 0.2 0.6 0.4 3.6 -32 14 -2.3 -10.7 60.0 0 57.1 -2.07 179.5 60.0
Donaven Dorsey Donaven Dorsey G 24 9.0 1.8 1.0 0.4 0.2 0.0 0.2 0.5 2.8 16 24 0.7 2.9 18.2 14.3 0.0 -1.18 192.3 22.7
Greg Bowman Greg Bowman F 7 2.1 1.4 0.6 0.0 0.0 0.0 0.0 0.0 2.0 -24 6 -4.0 -77.0 0 0 0 -3.56 0 0
Dan Kingma Dan Kingma G 9 2.9 0.7 0.1 0.4 0.0 0.0 0.3 0.1 0.8 -20 7 -2.9 -32.8 100.0 0 100.0 -3.2 159.6 100.0
KJ Garrett KJ Garrett G 6 1.8 0.0 0.0 0.0 0.0 0.3 0.0 0.3 0.0 -20 5 -4.0 -89.2 0.0 0.0 0 -3.17 0.0 0.0
Joe Knight Joe Knight - 3 1.3 0.0 0.7 0.0 0.0 0.0 0.0 0.0 0.7 - - - - 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