#178 Furman

Greenville, SC - Southern
2025-2026 Schedule
Date Opponent Score
Nov 3 (N) High PointL 97 - 71
Nov 7 vs TroyL 64 - 61
Nov 14 @ Northern IowaL 70 - 54
Nov 23 vs Queens UniversityW 90 - 79
Nov 27 (N) RichmondW 73 - 72
Nov 28 (N) Illinois StL 72 - 65
Dec 3 @ ElonW 97 - 88
Dec 6 vs HarvardW 79 - 69
Dec 18 @ ManhattanW 75 - 68
Dec 21 vs Charleston SouthernW 84 - 76
Dec 31 vs MercerW 74 - 72
Jan 3 vs Western CarolinaL 80 - 77 (OT)
Jan 7 @ ChattanoogaW 78 - 67
Jan 10 vs VMIW 69 - 48
Jan 14 @ SamfordW 77 - 73
Jan 17 vs WoffordL 74 - 70
Jan 21 @ CitadelL 77 - 75 (OT)
Jan 23 @ North Carolina GreensboroW 89 - 66
Jan 29 vs SamfordW 78 - 73
Feb 1 vs ChattanoogaW 75 - 70
Feb 4 @ East Tennessee StL 75 - 71 (OT)
Feb 8 vs North Carolina GreensboroL 67 - 64
Feb 11 @ MercerL 69 - 64
Feb 14 @ VMIW 90 - 72
Feb 18 vs East Tennessee StL 78 - 69
Feb 21 @ WoffordW 76 - 67
Feb 25 vs CitadelW 72 - 51
Feb 28 @ Western CarolinaL 86 - 67
Mar 7 (N) SamfordW 86 - 81
Mar 8 (N) North Carolina GreensboroW 81 - 75
Mar 9 (N) East Tennessee StW 76 - 61
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
Record19-12
vs Conference13-8
vs Top 500-1
Adj. Predicted Win %0.491 [178 nationally, 2nd in Southern]
Adj. Efficiency Delta-0.4 [177]
Strength of schedule280th
Adj. Pace66.7 [256]
Avg. Margin2.9 [113]
Consistency52nd
3-point %33.3 [212]
3-point Ratio46.2 [43]
Free Throw %69.8 [275]
OffenseDefense
Adjusted Efficiency106.7 [199]107.1 [162]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%52.6 [130]0.69 [344]
Offensive Turnover %18.2 [302]-0.57 [40]
Offensive Rebound %30.1 [185]0.09 [331]
Free Throw Rate34.1 [205]0.43 [27]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%50.8 [150]0.78 [253]
Defensive Turnover %13.5 [341]-0.6 [39]
Defensive Rebound %70.4 [168]-0.27 [231]
Opponent Free Throw Rate28.6 [38]0.3 [93]

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