#173 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
Mar 20 (N) #5 ConnecticutL 82 - 71
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
Record19-13
vs Conference13-8
vs Top 500-1
Adj. Predicted Win %0.502 [173]
Adj. Efficiency Δ0.1 [173]
Strength of schedule271st
Adj. Pace66.9 [252]
Avg. Margin2.5 [115]
Consistency50th
3-point %33.4 [205]
3-point Ratio46.3 [39]
Free Throw %70.1 [272]
OffenseDefense
Adjusted Efficiency107.3 [189]107.2 [163]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%53.1 [119]0.69 [348]
Offensive Turnover %17.8 [279]-0.57 [38]
Offensive Rebound %29.4 [208]0.11 [324]
Free Throw Rate34.8 [187]0.38 [42]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%50.6 [147]0.78 [259]
Defensive Turnover %13.5 [340]-0.58 [48]
Defensive Rebound %69.7 [193]-0.35 [155]
Opponent Free Throw Rate28.6 [41]0.28 [102]

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