#235 San Diego

San Diego, CA - West Coast
2025-2026 Schedule
Date Opponent Score
Nov 7 vs Idaho StL 71 - 68
Nov 12 vs IdahoW 78 - 74
Nov 18 vs GramblingW 78 - 68
Nov 21 vs California RiversideL 85 - 71
Nov 25 (N) California BaptistL 76 - 61
Nov 30 @ Long Beach StL 76 - 72
Dec 5 @ San José StL 86 - 69
Dec 9 vs Southern CaliforniaL 94 - 81
Dec 13 vs Northern ArizonaW 78 - 69
Dec 19 @ California San DiegoW 82 - 80
Dec 22 @ WashingtonL 86 - 56
Dec 28 vs PacificW 66 - 54
Dec 30 vs #22 GonzagaL 99 - 93
Jan 2 @ San FranciscoL 74 - 64
Jan 4 @ Santa ClaraL 98 - 70
Jan 8 vs PepperdineW 83 - 63
Jan 10 @ PacificL 77 - 70
Jan 15 @ Seattle UL 75 - 64
Jan 21 vs Washington StateW 96 - 92
Jan 24 vs Santa ClaraL 85 - 73
Jan 28 @ PepperdineW 92 - 88 (OT)
Jan 31 vs Oregon StateL 78 - 76 (OT)
Feb 4 @ #19 Saint Mary'sL 87 - 60
Feb 7 @ Loyola MarymountL 83 - 63
Feb 11 vs PortlandW 71 - 58
Feb 15 vs San FranciscoL 92 - 79
Feb 21 vs Loyola MarymountL 77 - 65
Feb 25 @ Oregon StateL 92 - 82 (OT)
Feb 28 @ PortlandL 87 - 74
Mar 5 (N) Loyola MarymountW 66 - 62
Mar 6 (N) Seattle UL 58 - 56
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
Record10-21
vs Conference6-14
vs Top 500-4
Adj. Predicted Win %0.393 [235]
Adj. Efficiency Δ-4.8 [234]
Strength of schedule134th
Adj. Pace67.9 [193]
Avg. Margin-6 [298]
Consistency67th
3-point %34.6 [143]
3-point Ratio43.7 [97]
Free Throw %74.7 [93]
OffenseDefense
Adjusted Efficiency107.2 [193]112 [259]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%53.3 [107]0.73 [317]
Offensive Turnover %18.1 [298]-0.43 [136]
Offensive Rebound %28.2 [238]0.53 [33]
Free Throw Rate23.7 [362]-0 [364]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%54 [280]0.7 [332]
Defensive Turnover %16.6 [151]-0.48 [119]
Defensive Rebound %68.4 [256]-0.26 [230]
Opponent Free Throw Rate42.2 [325]0.05 [303]

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