#360 Gardner Webb

Boiling Springs, NC - Big South
2025-2026 Schedule
Date Opponent Score
Nov 3 @ MinnesotaL 87 - 60
Nov 7 @ ClemsonL 97 - 59
Nov 15 @ ElonL 95 - 84
Nov 18 @ DePaulL 93 - 62
Nov 22 @ RichmondL 102 - 67
Nov 26 (N) NavyL 84 - 51
Nov 28 (N) Southeastern LouisianaL 76 - 68
Nov 29 @ North Carolina WilmingtonL 88 - 62
Dec 3 @ Queens UniversityL 107 - 74
Dec 6 vs Georgia SouthernL 88 - 84
Dec 15 vs WoffordL 83 - 57
Dec 21 @ #20 TennesseeL 94 - 52
Dec 31 vs Charleston SouthernL 89 - 79
Jan 3 @ WinthropL 88 - 77
Jan 7 @ High PointL 104 - 49
Jan 14 vs RadfordL 89 - 80
Jan 17 vs PresbyterianL 92 - 55
Jan 21 @ LongwoodL 91 - 56
Jan 23 vs USC UpstateW 67 - 65
Jan 29 @ North Carolina AshevilleL 69 - 50
Feb 4 vs LongwoodL 86 - 66
Feb 7 @ PresbyterianL 68 - 62
Feb 12 vs WinthropL 103 - 85
Feb 14 vs High PointL 112 - 87
Feb 17 @ Charleston SouthernL 75 - 66
Feb 19 @ RadfordL 82 - 70
Feb 26 vs North Carolina AshevilleL 77 - 71
Feb 28 @ USC UpstateL 71 - 61
Mar 4 (N) USC UpstateW 65 - 64
Mar 6 (N) High PointL 81 - 59
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
Record2-28
vs Conference2-16
vs Top 500-2
Adj. Predicted Win %0.078 [360]
Adj. Efficiency Δ-26.7 [360]
Strength of schedule231st
Adj. Pace70.1 [77]
Avg. Margin-20.5 [364]
Consistency114th
3-point %31 [321]
3-point Ratio39.8 [178]
Free Throw %68.5 [312]
OffenseDefense
Adjusted Efficiency93.5 [353]120.2 [351]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%48.1 [301]0.77 [283]
Offensive Turnover %18.9 [320]-0.67 [9]
Offensive Rebound %23.3 [349]0.11 [323]
Free Throw Rate30.4 [298]0.42 [30]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%57.1 [351]0.74 [309]
Defensive Turnover %16.3 [180]-0.38 [220]
Defensive Rebound %65.6 [333]-0.47 [71]
Opponent Free Throw Rate27.7 [30]-0.12 [227]

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