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UC Santa Barbara

Also known as: UC Santa Barbara Gauchos
Program History

2022 Team Stats (2 games)

71.0
PPG
66.0
Opp
+7.3
Margin
48.2%
FG%
42.4%
3P%
71.4%
FT%
34.0
RPG
16.5
APG
10.5
TO
72.7
Pace

Model Outputs

2021-2022
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 β†’ 1079 (#214) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1194 (#153) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More β†’ 1108 (#52) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More β†’ +23.4 (#168) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More β†’ +13.7 (#146) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.6 More β†’ 0.622 (#83) NetEff +4.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.1 | AdjD 66.1 More β†’ 0.634 (#86) AdjO 72.1 | AdjD 66.1
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 β†’ 0.786 (#131) 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 β†’ 0.764 (#128) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 132 | GP 27 More β†’ 1109 (#137) RD 132 | GP 27

2022 Schedule & Results

2022 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
A. Sow A. Sow F 2 32.5 13.0 11.0 1.0 0.5 1.0 2.0 11.0 13.5 157 5.6 7.8 54.5 0 40.0 1.02 53.7 54.5
Ajay Mitchell Ajay Mitchell - 26 32.2 11.7 2.2 3.5 0.8 0.2 1.8 3.0 13.6 187 6.9 8.9 46.8 22.2 78.0 1.15 160.5 49.4
M. Norris M. Norris - 27 29.6 10.2 5.6 1.2 0.9 0.7 1.7 2.3 14.5 - - - 34.9 29.6 78.9 0.9 193.4 41.3
A. Sanni A. Sanni - 21 26.6 10.1 2.6 3.0 1.0 0.0 1.5 3.0 12.2 115 5.2 7.9 34.4 35.7 88.2 0.87 148.3 42.2
J. Pierre-Louis J. Pierre-Louis - 25 25.6 8.8 4.2 3.2 1.2 0.0 2.5 1.6 13.2 117 4.5 7.2 57.5 44.4 46.7 0.46 236.1 62.5
C. Wishart C. Wishart - 25 27.8 7.1 2.9 2.8 1.2 0.2 1.6 1.6 10.8 146 5.6 8.4 41.5 30.4 63.6 0.84 194.2 50.0
Cole Anderson Cole Anderson G 26 10.5 4.2 0.7 0.3 0.2 0.0 0.2 1.1 4.1 26 0.9 3.5 44.8 35.0 0.0 -0.16 183.4 56.9
R. Idehen R. Idehen F 2 10.0 4.0 2.0 0.0 0.5 0.5 0.5 3.0 3.5 93 3.4 9.0 66.7 0 0.0 0.54 62.1 66.7
J. Kukic J. Kukic - 8 4.1 2.8 1.0 0.6 0.1 0.0 0.6 0.2 3.6 25 2.8 24.3 100.0 0 100.0 0.17 381.9 100.0
J. Nagle J. Nagle - 2 4.5 1.5 0.5 0.5 0.0 0.5 0.0 0.5 2.5 52 2.3 12.5 100.0 100.0 0 0.34 150.0 150.0
S. TourΓ© S. TourΓ© G 2 8.5 1.0 1.0 2.0 0.0 0.0 0.0 1.5 2.5 61 2.2 7.8 33.3 0.0 0.0 0.64 25.8 33.3
G. Gomez G. Gomez - 3 3.0 1.0 1.0 0.7 0.0 0.0 0.0 0.0 2.7 - - - 0 0 0 - 0 0
David Pickles David Pickles F 2 1.5 1.0 0.0 0.0 0.0 0.0 0.5 0.0 0.5 - - - 0 0 0 - 0 0
Max Sheldon Max Sheldon G 2 2.5 1.0 0.5 0.0 0.0 0.0 0.0 0.0 1.5 - - - 0 0 0 - 0 0
N. Rocak N. Rocak F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
A. Bland A. Bland F 0 - 0.0 0.0 0.0 - - - - - 6 0.8 6.0 - - - -0.07 - -

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