🐻⬇️🏀

UC Santa Barbara

Season: 2026 2023
Also known as: UC Santa Barbara
Program History

Model Outputs

2025-2026
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 → 1019 (#225) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1049 (#197) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1019 (#256) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +19.2 (#97) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#56) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +37.6 More → 0.988 (#79) AdjNet +37.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +36.8 More → 0.989 (#80) AdjNet +36.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.5 | AdjD 53.5 More → 0.890 (#90) AdjO 76.5 | AdjD 53.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.0 | AdjD 60.2 More → 0.628 (#140) AdjO 66.0 | AdjD 60.2
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 → 0.868 (#50) 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 → 0.836 (#59) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1088 (#142) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Cal St. Monterey Bay W 80 - 44

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%
Olivia Bradley - 1 22.2 19.0 4.0 0.0 4.0 1.0 1.0 9.0 18.0 - - - 77.8 50.0 80.0 - 84.8 83.3
Zoe Borter - 1 23.6 16.0 6.0 2.0 1.0 0.0 0.0 15.0 10.0 - - - 46.7 33.3 0.0 - 51.8 53.3
Jessica Grant - 1 21.6 15.0 1.0 2.0 0.0 0.0 0.0 7.0 11.0 1 0.1 0.5 71.4 71.4 0 -2.03 107.1 107.1
Zoe Shaw - 1 25.3 7.0 3.0 5.0 2.0 0.0 1.0 4.0 12.0 - - - 75.0 50.0 0 - 87.5 87.5
Skylar Burke - 1 19.7 7.0 3.0 1.0 1.0 2.0 2.0 7.0 5.0 - - - 42.9 0.0 50.0 - 44.4 42.9
Júlia Puente-Valverde - 1 13.7 5.0 4.0 1.0 0.0 0.0 3.0 3.0 4.0 - - - 66.7 100.0 0 - 83.3 83.3
Chauncey Andersen - 1 20.4 5.0 6.0 0.0 0.0 2.0 2.0 7.0 4.0 - - - 14.3 0.0 50.0 - 25.9 14.3
Ava Rawlins - 1 18.7 4.0 1.0 1.0 1.0 2.0 2.0 5.0 2.0 - - - 40.0 0.0 0 - 40.0 40.0
Madison Naro - 1 23.6 2.0 2.0 6.0 3.0 0.0 3.0 3.0 7.0 - - - 33.3 0 0.0 - 29.1 33.3
Valentina Penna - 1 2.2 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 - - - 0 0 0 - 0 0
Helena Koubek - 1 2.2 0.0 2.0 0.0 0.0 0.0 1.0 1.0 0.0 - - - 0.0 0 0 - 0.0 0.0
Bojana Radnjic - 1 4.5 0.0 0.0 1.0 0.0 0.0 1.0 0.0 0.0 - - - 0 0 0 - 0 0
Malani Mastora - 1 2.2 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

Not enough players with both Numbers/Game and RAPM to plot.

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