#78 California

Berkeley, CA - ACC
2025-2026 Schedule
Date Opponent Score
Nov 3 vs Cal St BakersfieldW 87 - 60
Nov 6 vs Wright StW 77 - 67
Nov 10 vs Cal St FullertonW 93 - 65
Nov 13 @ Kansas StL 99 - 96
Nov 18 vs PresbyterianW 67 - 57
Nov 21 vs Sacramento StW 91 - 67
Nov 25 (N) UCLAW 80 - 72
Dec 2 vs UtahW 79 - 72
Dec 6 vs PacificW 67 - 61
Dec 13 vs Northwestern StW 79 - 70
Dec 19 vs Morgan StW 97 - 50
Dec 21 vs ColumbiaW 74 - 56
Dec 30 vs LouisvilleL 90 - 70
Jan 2 vs Notre DameW 72 - 71
Jan 7 @ #13 VirginiaL 84 - 60
Jan 10 @ Virginia TechL 78 - 75
Jan 14 vs #3 DukeL 71 - 56
Jan 17 vs North CarolinaW 84 - 78
Jan 24 @ StanfordW 78 - 66
Jan 28 @ Florida StL 63 - 61
Jan 31 @ MiamiW 86 - 85
Feb 4 vs Georgia TechW 90 - 85
Feb 7 vs ClemsonL 77 - 55
Feb 11 @ SyracuseL 107 - 100 (2 OT)
Feb 14 @ Boston CollegeW 86 - 75
Feb 21 vs StanfordW 72 - 66
Feb 25 vs Southern MethodistW 73 - 69
Feb 28 vs PittsburghL 72 - 56
Mar 4 @ Georgia TechW 76 - 65
Mar 7 @ Wake ForestL 80 - 73
Mar 11 (N) Florida StL 95 - 89
Mar 18 vs Illinois ChicagoW 91 - 73
Mar 22 vs Saint Joseph'sL 76 - 75
Note: Game results highlighted in green indicate that the team exceeded expectations, even if it was a loss. Games highlighted in red indicate that the team failed to meet expectations, even if it was a win.
Stats
Overall
Record21-12
vs Conference9-10
vs Top 504-4
Adj. Predicted Win %0.698 [78]
Adj. Efficiency Δ11.1 [76]
Strength of schedule81st
Adj. Pace69.6 [97]
Avg. Margin4.3 [82]
Consistency222nd
3-point %36.9 [30]
3-point Ratio42.8 [121]
Free Throw %77.4 [26]
OffenseDefense
Adjusted Efficiency113.9 [87]102.8 [78]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%54.3 [84]0.86 [78]
Offensive Turnover %15.5 [118]-0.09 [345]
Offensive Rebound %27.6 [260]0.44 [75]
Free Throw Rate33.2 [226]0.18 [178]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%49.6 [107]0.83 [151]
Defensive Turnover %15.8 [214]-0.41 [185]
Defensive Rebound %72.9 [74]-0.19 [283]
Opponent Free Throw Rate31.8 [113]0.09 [255]

Note: Kalman filter settling time is responsible for some of the early season variance.