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Cal St. Fullerton

Season: 2026 2022 2019 2018 2017
Also known as: Cal St. Fullerton
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 → 1032 (#231) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1036 (#301) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 994 (#503) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +20.7 (#119) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.997 (#121) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +9.6 More → 0.752 (#254) AdjNet +9.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.4 More → 0.752 (#252) AdjNet +9.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 108.5 | AdjD 89.6 More → 0.847 (#146) AdjO 108.5 | AdjD 89.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 86.0 | AdjD 75.6 More → 0.721 (#85) AdjO 86.0 | AdjD 75.6
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 → 0.814 (#85) 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 → 0.758 (#125) 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 → 991 (#373) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Caltech W 136 - 82

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%
Jaden Henderson - 1 19.5 25.0 4.0 3.0 0.0 0.0 1.0 16.0 15.0 24 4.8 16.5 62.5 71.4 0 1.32 78.1 78.1
Kiwane Garris Jr - 1 22.9 22.0 8.0 5.0 5.0 0.0 0.0 12.0 28.0 - - - 66.7 57.1 50.0 - 79.9 83.3
Bryce Cofield - 1 18.0 13.0 6.0 7.0 0.0 1.0 2.0 5.0 20.0 - - - 100.0 0 100.0 - 102.8 100.0
Jefferson De La Cruz Monegro - 1 17.4 13.0 5.0 2.0 1.0 1.0 0.0 11.0 11.0 - - - 36.4 33.3 100.0 - 50.9 40.9
Bailey Nunn - 1 24.6 12.0 5.0 6.0 2.0 0.0 1.0 5.0 19.0 - - - 40.0 40.0 100.0 - 78.5 60.0
Josh Ward - 1 22.3 10.0 5.0 3.0 0.0 0.0 2.0 8.0 8.0 - - - 37.5 20.0 75.0 - 51.2 43.8
Kendrick De Luna - 1 14.1 8.0 3.0 3.0 0.0 1.0 2.0 4.0 9.0 - - - 75.0 0 66.7 - 75.2 75.0
Landon Seaman - 1 16.0 8.0 4.0 2.0 3.0 0.0 1.0 6.0 10.0 - - - 66.7 0 0.0 - 58.1 66.7
Matthew Quinlan - 1 5.5 7.0 1.0 0.0 0.0 0.0 1.0 4.0 3.0 - - - 75.0 50.0 0 - 87.5 87.5
Davis White - 1 14.7 7.0 4.0 1.0 0.0 1.0 0.0 8.0 5.0 -18 -1.6 -46.3 37.5 16.7 0 -0.4 43.8 43.8
Christian Williams - 1 13.7 7.0 2.0 3.0 2.0 0.0 0.0 6.0 8.0 63 6.3 39.4 50.0 25.0 0 4.84 58.3 58.3
Benjamin Winker - 1 11.2 4.0 5.0 2.0 0.0 0.0 1.0 2.0 8.0 - - - 100.0 0 0.0 - 69.4 100.0

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