#66 Georgetown

Washington, DC - Big East
2025-2026 Schedule
Date Opponent Score
Nov 3 vs Morgan StW 87 - 70
Nov 7 @ MarylandW 70 - 60
Nov 12 vs BinghamtonW 83 - 70
Nov 15 vs ClemsonW 79 - 74
Nov 22 vs WagnerW 92 - 75
Nov 27 (N) DaytonL 84 - 79 (OT)
Nov 28 (N) MiamiL 78 - 65
Dec 3 vs Md Baltimore CountyW 90 - 81
Dec 7 @ North CarolinaL 81 - 61
Dec 13 vs Saint Peter'sW 76 - 68 (OT)
Dec 17 @ MarquetteW 78 - 69
Dec 20 vs XavierL 80 - 77
Dec 22 vs Coppin StW 97 - 67
Dec 31 vs #12 St. John'sL 95 - 83
Jan 6 @ DePaulL 56 - 50
Jan 10 vs Seton HallL 76 - 67
Jan 13 @ CreightonL 86 - 83 (OT)
Jan 17 vs #7 ConnecticutL 64 - 62
Jan 21 @ VillanovaL 66 - 51
Jan 24 @ ProvidenceW 81 - 78
Jan 28 vs DePaulW 70 - 61
Jan 31 @ ButlerW 77 - 64
Feb 4 vs CreightonW 76 - 68
Feb 7 vs VillanovaL 80 - 73
Feb 14 @ #7 ConnecticutL 79 - 75
Feb 18 vs ButlerL 93 - 89
Feb 21 @ Seton HallL 51 - 47
Feb 24 vs MarquetteL 76 - 60
Feb 28 @ XavierL 91 - 84
Mar 3 @ #12 St. John'sL 72 - 69
Mar 7 vs ProvidenceW 80 - 79
Mar 11 (N) DePaulW 63 - 56
Mar 12 (N) VillanovaW 78 - 64
Mar 13 (N) #7 ConnecticutL 67 - 51
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
Record16-18
vs Conference8-15
vs Top 502-11
Adj. Predicted Win %0.733 [66]
Adj. Efficiency Δ10.3 [83]
Strength of schedule68th
Adj. Pace66.7 [262]
Avg. Margin0.7 [163]
Consistency32nd
3-point %31.8 [286]
3-point Ratio35.2 [268]
Free Throw %74 [134]
OffenseDefense
Adjusted Efficiency114.3 [85]104 [96]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%52 [158]0.89 [25]
Offensive Turnover %15.7 [135]-0.54 [57]
Offensive Rebound %32.6 [99]-0.06 [348]
Free Throw Rate41.6 [38]-0.14 [216]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%48.9 [74]0.84 [129]
Defensive Turnover %17.3 [115]-0.43 [165]
Defensive Rebound %69.1 [225]-0.16 [302]
Opponent Free Throw Rate32.8 [132]-0.09 [257]

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