🐻⬇️🏀

Washington

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

2018 Team Stats (4 games)

70.5
PPG
76.2
Opp
-5.8
Margin
43.1%
FG%
36.6%
3P%
70.4%
FT%
32.5
RPG
10.5
APG
11.3
TO
-
Est. poss./game
74.3
Adj PPG
69.0
Adj Opp PPG
#98
Scoring Rank

Model Outputs

2017-2018
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 → 1135 (#98) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1137 (#81) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1003 (#169) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +6.0 (#93) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +5.1 (#106) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.560 (#133) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +9.7 More → 0.754 (#85) AdjNet +9.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.8 More → 0.756 (#85) AdjNet +9.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.3 | AdjD 69.0 More → 0.617 (#98) AdjO 74.3 | AdjD 69.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.5 | AdjD 70.5 More → 0.547 (#121) AdjO 72.5 | AdjD 70.5
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 → 0.640 (#100) 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 → 0.626 (#102) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 34 More → 1131 (#84) RD 103 | GP 34

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Belmont Bruins W 86 - 82
2017-11-12 vs Eastern Washington Eagles W 79 - 69
2017-11-16 vs Providence Friars L 70 - 77
2017-11-17 vs Virginia Tech Hokies L 79 - 103
2017-11-24 vs Seattle U Redhawks W 89 - 84
2017-11-26 vs UC Davis Aggies W 77 - 70
2017-11-28 vs Kennesaw State Owls W 85 - 71
2017-12-03 vs Omaha Mavericks W 86 - 73
2017-12-06 @ Kansas Jayhawks W 74 - 65
2017-12-10 vs Gonzaga Bulldogs L 70 - 97
2017-12-17 vs Loyola Marymount Lions W 80 - 78
2017-12-19 vs Bethune-Cookman Wildcats W 106 - 55
2017-12-22 vs Montana Grizzlies W 66 - 63
2017-12-29 @ USC Trojans W 88 - 81
2017-12-31 @ UCLA Bruins L 53 - 74
2018-01-06 @ Washington State Cougars W 70 - 65
2018-01-11 vs California Golden Bears W 66 - 56
2018-01-13 vs Stanford Cardinal L 64 - 73
2018-01-18 @ Utah Utes L 62 - 70
2018-01-20 @ Colorado Buffaloes W 72 - 62
2018-01-28 vs Washington State Cougars W 80 - 62
2018-02-01 vs Arizona State Sun Devils W 68 - 64
2018-02-03 vs Arizona Wildcats W 78 - 75
2018-02-08 @ Oregon Ducks L 40 - 65
2018-02-10 @ Oregon State Beavers L 94 - 97
2018-02-15 vs Utah Utes L 58 - 70
2018-02-17 vs Colorado Buffaloes W 82 - 59
2018-02-22 @ Stanford Cardinal L 78 - 94
2018-02-24 @ California Golden Bears W 68 - 51
2018-03-01 vs Oregon State Beavers W 79 - 77
2018-03-03 vs Oregon Ducks L 64 - 72
2018-03-07 vs Oregon State Beavers L 66 - 69
2018-03-14 vs Boise State Broncos W 77 - 74
2018-03-19 @ Saint Mary's Gaels L 81 - 85

2018 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%
Noah Dickerson Noah Dickerson F 27 27.2 15.8 8.5 0.9 0.7 0.5 2.4 2.6 21.3 119 32 3.7 5.6 54.9 100.0 80.0 5.15 241.0 56.3
Jaylen Nowell Jaylen Nowell - 27 32.7 15.8 4.0 2.7 1.0 0.2 2.5 3.5 17.7 48 32 1.5 1.9 46.8 44.4 71.0 1.52 198.3 51.1
David Crisp David Crisp G 27 35.1 12.4 2.6 2.9 1.4 0.1 2.5 2.9 13.9 3 32 0.1 0.1 38.0 38.9 67.9 -1.16 184.0 46.8
Matisse Thybulle Matisse Thybulle - 27 32.8 10.6 2.9 2.4 2.9 1.5 2.3 2.3 15.7 54 32 1.7 2.2 41.9 39.4 50.0 2.47 216.1 52.4
Dominic Green Dominic Green F 26 20.3 4.9 2.1 0.5 0.2 0.3 0.4 0.8 6.8 -28 30 -0.9 -1.9 50.0 50.0 60.0 -2.57 262.4 65.9
Nahziah Carter Nahziah Carter G 27 14.0 4.8 1.7 0.4 0.7 0.3 1.0 0.9 6.0 -11 32 -0.3 -1.1 44.0 28.6 40.0 -1.59 237.1 48.0
Sam Timmins Sam Timmins F 27 18.2 4.3 4.6 0.3 0.4 0.9 1.0 0.6 9.0 -31 32 -1.0 -2.2 66.7 0 45.5 -2.81 294.9 66.7
Carlos Johnson Carlos Johnson G 12 10.2 4.1 1.8 0.2 0.2 0.1 0.8 0.5 4.9 -28 16 -1.8 -9.3 100.0 0 100.0 -3.85 315.7 100.0
Hameir Wright Hameir Wright F 26 14.0 2.6 2.5 0.6 0.4 0.9 0.8 0.6 5.5 24 31 0.8 2.2 26.7 11.1 40.0 0.17 194.8 30.0
Dan Kingma Dan Kingma G 5 5.4 2.0 0.4 0.2 0.0 0.0 0.2 0.0 2.4 - - - - 0 0 0 - 0 0
Michael Carter Michael Carter G 12 8.6 1.8 0.6 0.5 0.3 0.2 0.3 0.5 2.7 38 15 2.5 13.9 16.7 33.3 100.0 2.93 159.9 25.0
Greg Bowman Greg Bowman F 3 2.0 1.3 1.3 0.0 0.0 0.0 0.0 0.0 2.7 - - - - 0 0 0 - 0 0
Jason Crandall Jason Crandall G 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 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