#143 San Francisco

San Francisco, CA - West Coast
2025-2026 Schedule
Date Opponent Score
Nov 8 @ MemphisL 76 - 70
Nov 12 vs Portland StW 80 - 70
Nov 15 vs BradleyW 75 - 64
Nov 18 vs Northwestern StW 84 - 64
Nov 22 (N) MinnesotaW 77 - 65
Nov 27 (N) ColoradoL 79 - 69
Nov 28 (N) NevadaL 81 - 65
Dec 3 vs North AlabamaL 65 - 63
Dec 7 (N) Mississippi StW 65 - 62
Dec 13 @ Saint LouisL 85 - 75
Dec 17 vs Loyola ChicagoW 85 - 71
Dec 21 vs Morgan StW 94 - 64
Dec 28 @ Seattle UW 67 - 59
Dec 30 @ Oregon StateL 70 - 62
Jan 2 vs San DiegoW 74 - 64
Jan 4 vs PortlandW 73 - 68
Jan 8 @ Loyola MarymountL 84 - 82 (2 OT)
Jan 10 @ PepperdineW 80 - 60
Jan 13 vs #19 Saint Mary'sL 82 - 68
Jan 18 vs Washington StateW 85 - 80
Jan 24 @ #22 GonzagaL 68 - 66
Jan 28 @ Santa ClaraL 88 - 73
Jan 31 vs PacificW 87 - 82
Feb 4 vs Loyola MarymountL 84 - 75
Feb 7 @ #19 Saint Mary'sL 79 - 54
Feb 12 vs Oregon StateL 90 - 63
Feb 15 @ San DiegoW 92 - 79
Feb 18 vs #22 GonzagaL 80 - 59
Feb 21 vs Santa ClaraL 94 - 73
Feb 28 @ PacificW 72 - 61
Mar 7 (N) PortlandW 82 - 65
Mar 8 (N) Oregon StateL 78 - 77
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
Record16-16
vs Conference9-11
vs Top 500-7
Adj. Predicted Win %0.552 [143]
Adj. Efficiency Δ2.8 [140]
Strength of schedule106th
Adj. Pace67.1 [240]
Avg. Margin0.2 [171]
Consistency220th
3-point %34.6 [141]
3-point Ratio46.1 [47]
Free Throw %70.9 [242]
OffenseDefense
Adjusted Efficiency110.9 [121]108.1 [185]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%52.5 [136]0.79 [253]
Offensive Turnover %15.8 [139]-0.25 [279]
Offensive Rebound %31.5 [133]0.42 [87]
Free Throw Rate38.2 [106]0.46 [17]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%50.4 [136]0.83 [158]
Defensive Turnover %14.3 [310]-0.19 [334]
Defensive Rebound %71.6 [113]-0.27 [222]
Opponent Free Throw Rate31 [90]-0.02 [332]

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