#280 Loyola Chicago

Chicago, IL - Atlantic 10
2025-2026 Schedule
Date Opponent Score
Nov 3 vs Cleveland StW 91 - 88
Nov 6 vs MercyhurstL 73 - 65
Nov 9 (N) North TexasL 64 - 62
Nov 13 @ Wichita StL 95 - 74
Nov 16 vs Colorado StL 80 - 67
Nov 21 vs Northern IllinoisL 76 - 59
Nov 25 (N) Northern IowaL 72 - 51
Nov 26 (N) San José StL 63 - 51
Dec 2 vs Central MichiganW 83 - 72
Dec 6 vs PrincetonW 73 - 68
Dec 14 vs Chicago StL 84 - 75
Dec 17 @ San FranciscoL 85 - 71
Dec 20 (N) Santa ClaraW 80 - 78
Dec 31 @ Rhode IslandW 61 - 57
Jan 3 vs DaytonL 70 - 68
Jan 7 vs DavidsonL 79 - 64
Jan 10 @ George WashingtonL 101 - 66
Jan 13 vs George MasonL 82 - 74
Jan 16 @ DaytonL 78 - 51
Jan 20 @ St. BonaventureL 84 - 70
Jan 24 vs DuquesneL 71 - 59
Jan 27 vs Saint Joseph'sL 85 - 64
Jan 30 @ Virginia CommonwealthL 89 - 75
Feb 3 vs La SalleW 71 - 61
Feb 6 @ DavidsonL 84 - 64
Feb 13 vs Saint LouisL 86 - 59
Feb 18 @ FordhamL 62 - 59
Feb 21 @ Saint Joseph'sL 75 - 61
Feb 28 vs RichmondW 69 - 66
Mar 4 @ Saint LouisL 79 - 65
Mar 7 vs George WashingtonW 68 - 62
Mar 11 (N) RichmondW 75 - 67
Mar 12 (N) DavidsonL 64 - 59 (OT)
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
Record9-24
vs Conference5-15
vs Top 501-4
Adj. Predicted Win %0.315 [280]
Adj. Efficiency Δ-8.2 [267]
Strength of schedule112th
Adj. Pace66 [290]
Avg. Margin-9 [333]
Consistency47th
3-point %31.7 [293]
3-point Ratio47.6 [28]
Free Throw %67.3 [338]
OffenseDefense
Adjusted Efficiency103.6 [260]111.8 [257]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%51.7 [174]0.7 [336]
Offensive Turnover %19.2 [335]-0.5 [77]
Offensive Rebound %28.8 [222]0.09 [331]
Free Throw Rate33.3 [224]0.34 [63]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%50.1 [123]0.82 [169]
Defensive Turnover %13.6 [337]-0.4 [192]
Defensive Rebound %72.6 [88]-0.34 [157]
Opponent Free Throw Rate33.7 [160]-0.26 [117]

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