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UCLA

Also known as: UCLA Bruins, UCLA
Program History

2017 Team Stats (33 games)

90.6
PPG
76.0
Opp
+14.6
Margin
52.4%
FG%
40.8%
3P%
74.4%
FT%
38.2
RPG
21.6
APG
11.1
TO
-
Est. poss./game
90.2
Adj PPG
72.1
Adj Opp PPG
#13
Scoring Rank

Model Outputs

2016-2017
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†’ 1406 (#15) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1390 (#6) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1189 (#8) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +19.3 (#14) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +18.6 (#14) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.880 (#8) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +25.1 More โ†’ 0.948 (#21) AdjNet +25.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +25.3 More โ†’ 0.949 (#21) AdjNet +25.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 90.2 | AdjD 72.1 More โ†’ 0.838 (#13) AdjO 90.2 | AdjD 72.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 84.5 | AdjD 71.5 More โ†’ 0.765 (#11) AdjO 84.5 | AdjD 71.5
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 โ†’ 0.884 (#12) 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†’ 0.874 (#12) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 36 More โ†’ 1379 (#8) RD 101 | GP 36

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Pacific Tigers W 119 - 80
2016-11-13 vs Cal State Northridge Matadors W 102 - 87
2016-11-17 vs San Diego Toreros W 88 - 68
2016-11-20 vs Long Beach State Beach W 114 - 77
2016-11-24 vs Portland Pilots W 99 - 77
2016-11-25 vs Nebraska Cornhuskers W 82 - 71
2016-11-27 vs Texas A&M Aggies W 74 - 67
2016-11-30 vs UC Riverside Highlanders W 98 - 56
2016-12-03 @ Kentucky Wildcats W 97 - 92
2016-12-10 vs Michigan Wolverines W 102 - 84
2016-12-14 vs UC Santa Barbara Gauchos W 102 - 62
2016-12-17 vs Ohio State Buckeyes W 86 - 73
2016-12-21 vs Western Michigan Broncos W 82 - 68
2016-12-28 @ Oregon Ducks L 87 - 89
2016-12-30 @ Oregon State Beavers W 76 - 63
2017-01-05 vs California Golden Bears W 81 - 71
2017-01-08 vs Stanford Cardinal W 89 - 75
2017-01-12 @ Colorado Buffaloes W 104 - 89
2017-01-14 @ Utah Utes W 83 - 82
2017-01-19 vs Arizona State Sun Devils W 102 - 80
2017-01-21 vs Arizona Wildcats L 85 - 96
2017-01-25 @ USC Trojans L 76 - 84
2017-02-01 @ Washington State Cougars W 95 - 79
2017-02-04 @ Washington Huskies W 107 - 66
2017-02-09 vs Oregon Ducks W 82 - 79
2017-02-12 vs Oregon State Beavers W 78 - 60
2017-02-18 vs USC Trojans W 102 - 70
2017-02-23 @ Arizona State Sun Devils W 87 - 75
2017-02-25 @ Arizona Wildcats W 77 - 72
2017-03-01 vs Washington Huskies W 98 - 66
2017-03-04 vs Washington State Cougars W 77 - 68
2017-03-09 vs USC Trojans W 76 - 74
2017-03-10 @ Arizona Wildcats L 75 - 86
2017-03-17 vs Kent State Golden Flashes W 97 - 80
2017-03-19 vs Cincinnati Bearcats W 79 - 67
2017-03-24 @ Kentucky Wildcats L 75 - 86

2017 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%
T.J. Leaf T.J. Leaf - 34 30.1 16.4 8.3 2.4 0.6 1.1 1.5 10.6 16.7 386 30 12.9 18.4 62.3 46.0 69.6 1.75 68.6 65.5
Bryce Alford Bryce Alford G 35 33.0 15.4 2.4 2.6 0.5 0.1 1.0 10.3 9.8 403 30 13.4 17.5 44.6 44.3 81.5 1.34 66.4 60.2
Lonzo Ball Lonzo Ball - 35 35.2 14.6 6.1 7.6 1.9 0.8 2.5 9.3 19.1 465 30 15.5 19.2 55.5 40.8 67.3 3.71 69.2 67.0
Isaac Hamilton Isaac Hamilton G 35 29.9 14.1 3.5 2.8 0.7 0.2 1.9 11.4 8.0 399 30 13.3 19.4 45.1 36.8 81.8 3.8 58.1 53.9
Aaron Holiday Aaron Holiday - 35 26.3 12.4 2.8 4.4 1.1 0.2 2.5 8.3 10.2 340 30 11.3 18.3 48.8 41.8 80.0 1.9 64.9 57.6
Thomas Welsh Thomas Welsh C 31 25.0 10.7 8.6 1.0 0.4 1.4 0.5 8.1 13.5 285 26 11.0 17.9 58.4 100.0 88.9 2.01 61.7 58.6
Ike Anigbogu Ike Anigbogu - 28 13.2 4.8 4.1 0.2 0.2 1.2 0.8 3.5 6.2 133 23 5.8 19.7 55.7 0 53.5 1.32 58.2 55.7
Gyorgy Goloman Gyorgy Goloman F 34 11.4 3.7 2.4 0.6 0.6 0.8 0.6 2.6 4.8 143 29 4.9 17.9 57.3 10.0 63.3 -0.2 61.6 57.9
Micah Potter Micah Potter - 1 16.0 3.0 8.0 0.0 0.0 0.0 1.0 0.0 10.0 - - - - 0 0 0 - 0 0
Armani Dodson Armani Dodson G 1 2.0 2.0 1.0 0.0 0.0 0.0 0.0 1.0 2.0 - - - - 100.0 0 0 - 100.0 100.0
Isaac Wulff Isaac Wulff G 5 2.0 1.0 0.4 0.0 0.0 0.0 0.0 0.4 1.0 - - - - 100.0 0 50.0 -1.52 86.8 100.0
Alec Wulff Alec Wulff G 13 1.8 0.5 0.1 0.1 0.1 0.0 0.0 0.5 0.2 -21 11 -1.9 -37.7 33.3 33.3 0 -4.5 50.0 50.0
Jerrold Smith Jerrold Smith G 13 1.9 0.5 0.0 0.1 0.2 0.0 0.2 0.8 -0.2 -17 12 -1.4 -30.3 27.3 0.0 50.0 -3.69 29.5 27.3
Ikenna Okwarabizie Ikenna Okwarabizie C 12 2.6 0.2 0.6 0.0 0.1 0.0 0.2 0.2 0.4 1 11 0.1 1.5 0.0 0 33.3 -0.68 21.6 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