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Arizona State Sun Devils

Also known as: Arizona State Sun Devils
Program History

2018 Team Stats (19 games)

61.9
PPG
63.9
Opp
-2.1
Margin
41.2%
FG%
30.5%
3P%
69.3%
FT%
33.5
RPG
12.9
APG
11.3
TO
-
Est. poss./game
70.7
Adj PPG
49.4
Adj Opp PPG
#17
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 โ†’ 1287 (#56) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1251 (#42) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 1071 (#88) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ +23.1 (#16) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More โ†’ +21.9 (#23) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.863 (#37) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +34.3 More โ†’ 0.982 (#18) AdjNet +34.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +35.0 More โ†’ 0.983 (#18) AdjNet +35.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.7 | AdjD 49.4 More โ†’ 0.874 (#17) AdjO 70.7 | AdjD 49.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.6 | AdjD 54.0 More โ†’ 0.759 (#35) AdjO 66.6 | AdjD 54.0
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†’ 0.887 (#26) 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†’ 0.870 (#27) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 108 | GP 35 More โ†’ 1194 (#59) RD 108 | GP 35

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-12 vs UTSA Roadrunners W 74 - 42
2017-11-15 @ Fresno State Bulldogs W 81 - 49
2017-11-18 vs Sacramento State Hornets W 106 - 58
2017-11-19 vs Colgate Raiders W 65 - 54
2017-11-23 @ Mississippi State Bulldogs L 57 - 65
2017-11-24 @ Green Bay Phoenix L 48 - 61
2017-11-25 vs Columbia Lions W 72 - 48
2017-12-02 vs Buffalo Bulls W 76 - 57
2017-12-03 vs UC Riverside Highlanders W 73 - 48
2017-12-10 @ Florida State Seminoles L 66 - 77
2017-12-18 vs Idaho Vandals W 77 - 33
2017-12-21 vs Arkansas Razorbacks W 89 - 43
2017-12-29 @ Colorado Buffaloes W 72 - 47
2017-12-31 @ Utah Utes W 83 - 81
2018-01-05 vs California Golden Bears W 80 - 71
2018-01-07 vs Stanford Cardinal W 73 - 66
2018-01-12 @ Oregon State Beavers L 54 - 57
2018-01-14 @ Oregon Ducks L 64 - 74
2018-01-19 vs Utah Utes L 56 - 58
2018-01-21 vs Colorado Buffaloes W 73 - 59
2018-01-26 @ Stanford Cardinal L 50 - 74
2018-01-28 @ California Golden Bears W 57 - 42
2018-02-02 vs Washington Huskies W 61 - 41
2018-02-04 vs Washington State Cougars W 77 - 51
2018-02-09 @ USC Trojans L 62 - 77
2018-02-11 @ UCLA Bruins L 63 - 71
2018-02-16 vs Arizona Wildcats W 75 - 50
2018-02-18 @ Arizona Wildcats W 69 - 45
2018-02-23 vs Oregon Ducks L 44 - 57
2018-02-25 vs Oregon State Beavers L 60 - 64
2018-03-01 vs Arizona Wildcats W 76 - 47
2018-03-02 @ Oregon State Beavers W 57 - 51
2018-03-03 @ Stanford Cardinal L 46 - 58
2018-03-17 vs Nebraska Cornhuskers W 73 - 62
2018-03-19 @ Texas Longhorns L 65 - 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%
K. Ibis K. Ibis F 19 27.5 13.1 5.7 0.8 0.6 0.1 1.0 11.4 7.9 201 34 5.9 9.5 47.7 40.0 75.0 2.27 53.1 50.5
S. Haines S. Haines G 1 29.0 10.0 3.0 0.0 1.0 0.0 4.0 11.0 -1.0 84 8 10.5 17.7 27.3 0.0 100.0 1.21 39.2 27.3
R. Ryan R. Ryan G 19 29.5 9.8 3.1 2.4 0.8 0.1 2.2 9.0 5.0 181 34 5.3 8.0 40.9 31.0 73.9 1.57 48.9 44.7
C. Ekmark C. Ekmark G 19 29.7 8.2 3.7 1.5 0.9 0.1 1.2 8.2 4.9 250 34 7.4 11.0 32.9 34.9 71.9 4.53 45.8 42.6
R. Richardson R. Richardson G 19 30.8 6.8 2.9 3.9 0.9 0.1 1.6 7.4 5.6 237 34 7.0 10.2 30.5 25.9 73.7 4.14 40.9 35.8
C. Johnson-Chapman C. Johnson-Chapman C 19 22.0 6.1 6.4 0.3 0.6 0.5 1.1 4.9 8.0 200 34 5.9 11.4 52.7 0 50.0 3.36 53.3 52.7
J. Ruden J. Ruden F 18 13.4 5.9 1.6 0.4 0.3 0.2 0.7 6.4 1.3 120 32 3.8 11.5 33.9 22.9 76.9 4.44 41.9 37.4
K. Russell K. Russell G 19 22.6 5.7 2.3 2.9 1.1 0.1 1.1 4.2 6.8 99 33 3.0 5.6 47.5 37.5 63.4 0.3 55.1 51.2
S. Elenga S. Elenga F 19 17.5 5.6 3.6 0.5 0.2 0.2 1.5 4.3 4.2 73 34 2.1 5.1 53.1 0 69.0 -1.34 56.5 53.1
E. Rubin E. Rubin C 3 1.7 2.0 0.7 0.0 0.0 0.0 0.7 1.0 1.0 15 12 1.2 15.8 100.0 0 0 -0.93 100.0 100.0
B. Sanders B. Sanders F 17 6.5 0.3 0.4 0.3 0.2 0.0 0.2 0.7 0.2 70 28 2.5 11.4 16.7 11.1 0.0 1.92 20.1 20.8

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