🐻⬇️🏀

California Golden Bears

Also known as: California Golden Bears
Program History

2026 Team Stats (34 games)

69.8
PPG
64.5
Opp
+5.3
Margin
43.5%
FG%
31.8%
3P%
71.2%
FT%
37.3
RPG
15.7
APG
15.8
TO
81.0
Pace
72.0
AdjO
55.4
AdjD
#47
Rank

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 → 1131 (#98) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1156 (#90) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +113 elo More → 1018 (#162) HCA +113 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +17.0 (#48) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +28.8 (#45) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.729 (#99) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.2 More → 0.760 (#94) NetEff +9.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +25.2 More → 0.949 (#47) AdjNet +25.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +26.0 More → 0.953 (#47) AdjNet +26.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.0 | AdjD 55.4 More → 0.819 (#47) AdjO 72.0 | AdjD 55.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.9 | AdjD 59.5 More → 0.702 (#66) AdjO 68.9 | AdjD 59.5
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 → 0.921 (#54) 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 → 0.897 (#56) 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 34 More → 1132 (#116) RD 101 | GP 34

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Vanderbilt Commodores L 65 - 74
2025-11-09 vs Sacramento State Hornets W 69 - 52
2025-11-11 vs Pacific Tigers W 60 - 52
2025-11-16 vs Harvard Crimson W 76 - 65
2025-11-20 vs Saint Mary's Gaels W 70 - 62
2025-11-24 vs Grand Canyon Lopes W 68 - 63
2025-11-26 @ Auburn Tigers L 50 - 58
2025-12-04 @ Missouri Tigers L 67 - 68
2025-12-07 vs San José State Spartans W 92 - 42
2025-12-14 @ Stanford Cardinal L 69 - 78
2025-12-21 vs USC Trojans L 57 - 61
2025-12-28 vs Cal Poly Mustangs W 91 - 50
2026-01-01 @ North Carolina Tar Heels L 55 - 71
2026-01-04 @ NC State Wolfpack L 60 - 71
2026-01-08 vs Duke Blue Devils L 74 - 78
2026-01-11 vs Wake Forest Demon Deacons W 61 - 52
2026-01-15 @ Syracuse Orange L 87 - 90
2026-01-18 @ Boston College Eagles W 73 - 58
2026-01-25 vs Stanford Cardinal W 78 - 71
2026-01-29 vs Notre Dame Fighting Irish W 80 - 69
2026-02-01 vs Louisville Cardinals L 59 - 71
2026-02-05 @ Georgia Tech Yellow Jackets W 63 - 56
2026-02-08 @ Pittsburgh Panthers W 95 - 80
2026-02-12 vs Virginia Cavaliers W 64 - 58
2026-02-15 vs Virginia Tech Hokies L 58 - 68
2026-02-19 @ Florida State Seminoles W 75 - 62
2026-02-22 @ Miami Hurricanes L 60 - 69
2026-02-26 vs Clemson Tigers L 63 - 70
2026-03-01 vs SMU Mustangs W 78 - 34
2026-03-04 vs Wake Forest Demon Deacons W 75 - 52
2026-03-05 @ Syracuse Orange L 59 - 70
2026-03-19 vs Santa Clara Broncos W 72 - 68
2026-03-22 @ Kansas State Wildcats W 83 - 75
2026-03-26 vs Columbia Lions L 68 - 74

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%
L. Twidale L. Twidale G 34 36.2 16.3 3.9 3.7 0.7 0.0 3.2 13.4 8.1 2 0.1 0.1 38.0 32.7 87.7 1.16 54.4 49.0
S. Walker S. Walker C 34 27.2 12.9 6.9 1.2 0.3 1.5 2.6 10.0 10.2 -26 -1.1 -1.6 57.2 0.0 58.8 0.62 58.1 57.2
G. Maul G. Maul G 34 29.7 9.8 6.9 2.3 0.9 0.2 1.6 6.8 11.6 -12 -0.5 -0.7 41.4 37.8 78.0 1.05 58.5 51.7
T. Barnes T. Barnes F 25 32.1 8.9 5.1 1.4 0.8 0.4 1.0 8.0 7.7 -13 -0.6 -0.7 41.0 29.3 82.1 0.21 51.3 47.8
M. Sheppard M. Sheppard G 33 29.7 8.6 4.5 3.5 2.0 0.4 2.7 7.4 8.9 -2 -0.1 -0.1 46.3 26.1 58.8 0.7 51.0 48.8
N. Ojukwu N. Ojukwu F 34 11.0 6.7 2.9 0.3 0.2 0.3 0.9 4.9 4.6 12 0.5 1.6 50.0 0 67.8 -0.19 55.0 50.0
A. Morris A. Morris G 24 23.8 6.3 2.1 3.0 0.7 0.1 1.9 6.5 3.9 -6 -0.4 -0.5 32.7 29.2 55.9 -0.02 44.5 42.6
L. Donez L. Donez G 34 15.7 2.3 0.6 0.7 0.8 0.1 0.7 1.8 1.9 -22 -0.9 -1.9 37.7 34.6 66.7 -1.27 55.5 52.5
C. Langarita C. Langarita F 22 10.8 1.6 1.5 0.8 0.2 0.3 1.1 2.4 1.0 16 1.1 3.6 26.9 7.7 60.0 0.57 31.0 27.9
A. Drosouni A. Drosouni G 10 7.0 1.5 0.7 0.2 0.1 0.1 0.2 1.0 1.4 -8 -1.1 -7.6 50.0 50.0 0 -1.23 75.0 75.0
S. Bowes S. Bowes G 4 2.8 1.0 0.0 0.2 0.2 0.0 0.0 1.2 0.2 2 0.7 11.7 40.0 0.0 0 0.36 40.0 40.0
I. Johnson-Musah I. Johnson-Musah G 13 4.2 0.9 0.6 0.2 0.2 0.0 0.5 0.6 0.7 - - - 62.5 0.0 66.7 - 64.4 62.5
G. McCallop G. McCallop G 21 5.0 0.9 0.5 0.4 0.5 0.0 0.7 0.8 0.7 -10 -0.9 -7.9 29.4 10.0 58.3 -0.44 40.4 32.4

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