#223 Drexel

Philadelphia, PA - Coastal
2025-2026 Schedule
Date Opponent Score
Nov 8 @ Saint Joseph'sL 76 - 65
Nov 11 @ ColgateL 90 - 83
Nov 15 (N) SyracuseL 80 - 50
Nov 18 vs New Jersey TechW 75 - 43
Nov 21 vs PennsylvaniaL 84 - 68
Nov 23 vs Old DominionW 75 - 71
Nov 25 @ Morgan StW 71 - 66
Dec 3 @ American UniversityL 75 - 73
Dec 6 @ La SalleL 69 - 64
Dec 16 vs HowardL 74 - 66
Dec 19 vs Mount St. Mary'sW 75 - 67
Dec 21 vs MaineW 74 - 56
Dec 29 @ CharlestonL 72 - 63
Dec 31 @ North Carolina WilmingtonL 65 - 53
Jan 3 vs HofstraL 70 - 67
Jan 8 vs Stony BrookW 56 - 37
Jan 10 vs William & MaryW 64 - 58
Jan 15 @ MonmouthW 73 - 51
Jan 19 @ TowsonL 59 - 58
Jan 24 vs NortheasternW 83 - 78
Jan 29 vs HamptonW 58 - 51
Jan 31 vs North Carolina A&TW 61 - 60
Feb 5 @ CampbellL 81 - 60
Feb 7 @ ElonW 82 - 77
Feb 12 vs MonmouthL 93 - 73
Feb 16 @ Stony BrookL 72 - 69
Feb 19 @ NortheasternW 70 - 61
Feb 22 vs TowsonW 68 - 62
Feb 26 vs CampbellW 65 - 60
Mar 3 @ HofstraL 62 - 51
Mar 7 (N) NortheasternW 84 - 77
Mar 8 (N) MonmouthL 65 - 57
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 Conference11-9
vs Top 500-0
Adj. Predicted Win %0.415 [223]
Adj. Efficiency Δ-4.3 [225]
Strength of schedule247th
Adj. Pace65.3 [316]
Avg. Margin-0.3 [186]
Consistency166th
3-point %35.5 [89]
3-point Ratio40.2 [170]
Free Throw %66.5 [349]
OffenseDefense
Adjusted Efficiency101.3 [297]105.6 [128]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%50.7 [212]0.68 [352]
Offensive Turnover %19.7 [347]-0.39 [172]
Offensive Rebound %28.3 [234]0.1 [330]
Free Throw Rate31.3 [273]0.37 [48]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%48.1 [49]0.89 [26]
Defensive Turnover %16 [198]-0.32 [262]
Defensive Rebound %69.2 [225]-0.13 [319]
Opponent Free Throw Rate35.5 [207]0.39 [40]

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