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UC Santa Barbara Gauchos

Also known as: UC Santa Barbara Gauchos
Program History

2026 Team Stats (25 games)

65.3
PPG
60.2
Opp
+5.1
Margin
41.2%
FG%
32.3%
3P%
73.2%
FT%
35.8
RPG
12.9
APG
13.6
TO
75.7
Pace

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +113 elo More → 1025 (#156) HCA +113 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +9.3 (#210) HCA +2.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.7 | AdjD 59.2 More → 0.535 (#185) AdjO 60.7 | AdjD 59.2
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 → 0.748 (#169) 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 → 0.706 (#176) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 139 | GP 25 More → 1038 (#189) RD 139 | GP 25

2026 Schedule & Results

2026 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%
Z. Borter Z. Borter F 25 35.7 15.2 3.1 2.2 0.7 0.2 1.3 11.8 8.3 91 4.3 5.0 42.9 40.4 81.8 0.51 57.0 52.2
O. Bradley O. Bradley F 25 27.4 13.1 5.7 1.7 0.7 1.1 2.2 10.7 9.4 94 4.5 6.2 46.6 27.6 69.4 0.12 54.6 51.7
Z. Shaw Z. Shaw G 25 30.0 8.7 3.5 1.7 0.8 0.2 1.4 7.9 5.5 102 4.9 5.9 36.4 36.2 76.7 1.42 51.4 49.0
S. Burke S. Burke G 18 24.8 8.0 5.5 2.4 0.9 0.7 2.8 6.2 8.5 65 4.3 6.6 40.5 23.3 82.5 2.08 52.9 43.7
M. Naro M. Naro G 22 32.3 7.5 3.9 3.7 0.8 0.1 1.6 7.6 6.7 67 3.7 5.0 37.7 26.3 46.2 -1.5 46.0 45.5
C. Andersen C. Andersen G 25 17.1 6.6 4.9 0.5 0.4 0.3 1.5 5.2 6.0 77 3.7 10.5 47.7 31.8 68.4 1.31 55.9 53.1
J. Puente-Valverde J. Puente-Valverde F 25 17.6 4.6 5.3 0.6 0.6 0.3 1.7 4.0 5.7 27 1.4 3.4 42.0 7.7 65.9 -1.22 47.8 42.5
J. Grant J. Grant G 25 21.3 4.4 1.4 1.0 0.2 0.2 0.6 4.3 2.4 114 5.4 9.4 33.3 34.0 100.0 1.66 50.5 50.0
B. Radnjic B. Radnjic G 8 5.0 1.0 0.5 0.2 0.4 0.0 0.5 0.5 1.1 -55 -5.5 -47.3 50.0 50.0 75.0 -4.57 69.4 62.5
V. Penna V. Penna G 3 2.7 0.7 0.3 0.0 0.0 0.0 0.3 1.0 -0.3 -11 -2.2 -43.3 0.0 0 100.0 -1.53 25.8 0.0
H. Shum-Koubek H. Shum-Koubek G 6 2.7 0.3 0.7 0.0 0.0 0.0 0.5 0.3 0.2 - - - 50.0 0 0 - 50.0 50.0
A. Rawlins A. Rawlins G 4 8.5 0.2 0.5 0.2 0.0 0.2 0.5 1.5 -0.8 2 0.3 2.0 0.0 0.0 50.0 -0.95 7.3 0.0
M. Pietsch M. Pietsch G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
M. Mastora M. Mastora G 6 1.5 0.0 0.2 0.0 0.0 0.0 0.2 0.2 -0.2 -7 -1.0 -30.1 0.0 0.0 0 -0.59 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