#116 Saint Joseph's

Philadelphia, PA - Atlantic 10
2025-2026 Schedule
Date Opponent Score
Nov 3 vs LafayetteW 85 - 76
Nov 8 vs DrexelW 76 - 65
Nov 12 @ Virginia TechL 94 - 59
Nov 17 @ PennsylvaniaL 83 - 74
Nov 20 @ UNLVL 99 - 85
Nov 30 (N) PrincetonW 60 - 58
Dec 6 (N) TempleW 70 - 69
Dec 9 vs Coppin StW 87 - 65
Dec 11 @ SyracuseL 71 - 63
Dec 18 vs Delaware StW 67 - 51
Dec 22 vs Coastal CarolinaL 68 - 62
Dec 31 @ Saint LouisL 102 - 79
Jan 3 vs DavidsonL 62 - 56
Jan 7 vs DuquesneW 97 - 90 (OT)
Jan 11 @ RichmondW 67 - 65
Jan 14 vs St. BonaventureW 68 - 64
Jan 19 @ Virginia CommonwealthL 79 - 72
Jan 24 vs DaytonW 81 - 74
Jan 27 @ Loyola ChicagoW 85 - 64
Jan 31 @ La SalleW 67 - 58
Feb 4 vs George WashingtonW 76 - 73
Feb 7 @ George MasonL 60 - 52
Feb 10 vs FordhamL 68 - 64
Feb 18 @ St. BonaventureW 71 - 65
Feb 21 vs Loyola ChicagoW 75 - 61
Feb 25 vs George MasonW 81 - 63
Feb 28 @ Rhode IslandW 61 - 55
Mar 4 @ DavidsonW 70 - 67
Mar 7 vs La SalleW 88 - 76
Mar 13 (N) DavidsonW 70 - 58
Mar 14 (N) Virginia CommonwealthL 77 - 64
Mar 18 @ Colorado StW 69 - 64
Mar 22 @ CaliforniaW 76 - 75
Mar 24 @ New MexicoL 84 - 69
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
Record22-12
vs Conference14-6
vs Top 500-4
Adj. Predicted Win %0.601 [116]
Adj. Efficiency Δ4.6 [124]
Strength of schedule132nd
Adj. Pace68.3 [162]
Avg. Margin1.3 [144]
Consistency77th
3-point %30.8 [325]
3-point Ratio45.1 [63]
Free Throw %73.8 [141]
OffenseDefense
Adjusted Efficiency106.7 [199]102.1 [69]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%50.1 [234]0.81 [204]
Offensive Turnover %16.4 [196]-0.6 [24]
Offensive Rebound %32.2 [113]0.03 [358]
Free Throw Rate32.7 [238]0.33 [68]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%46 [16]0.86 [87]
Defensive Turnover %14.7 [290]-0.41 [188]
Defensive Rebound %70.4 [167]-0.22 [266]
Opponent Free Throw Rate26 [17]0.19 [161]

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