#164 Winthrop

Rock Hill, SC - Big South
2025-2026 Schedule
Date Opponent Score
Nov 3 (N) Queens UniversityW 81 - 74
Nov 7 @ George MasonL 96 - 90
Nov 11 @ Coastal CarolinaL 72 - 66
Nov 15 vs MercerW 105 - 69
Nov 18 @ #19 ArkansasL 84 - 83
Nov 23 @ Jackson StW 80 - 62
Nov 25 @ #14 NebraskaL 80 - 73
Nov 29 vs South Carolina StW 101 - 79
Dec 2 @ Long Island UniversityW 94 - 92 (OT)
Dec 6 vs Coastal CarolinaL 88 - 84
Dec 18 @ North DakotaL 90 - 88
Dec 28 @ #16 Texas TechL 87 - 57
Dec 31 @ LongwoodL 82 - 70
Jan 3 vs Gardner WebbW 88 - 77
Jan 7 vs Charleston SouthernW 81 - 77
Jan 10 @ USC UpstateW 71 - 50
Jan 14 vs High PointW 92 - 75
Jan 17 @ North Carolina AshevilleW 69 - 67
Jan 21 vs RadfordW 76 - 75
Jan 24 @ PresbyterianW 82 - 72
Jan 31 vs North Carolina AshevilleW 84 - 71
Feb 4 @ RadfordW 80 - 78
Feb 7 vs LongwoodW 79 - 74
Feb 12 @ Gardner WebbW 103 - 85
Feb 19 vs USC UpstateW 68 - 64
Feb 21 @ High PointL 89 - 87
Feb 26 @ Charleston SouthernL 86 - 84
Feb 28 vs PresbyterianW 74 - 70
Mar 6 (N) Charleston SouthernW 86 - 81
Mar 7 (N) PresbyterianW 73 - 71
Mar 8 (N) High PointL 91 - 76
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
Record20-11
vs Conference15-4
vs Top 500-3
Adj. Predicted Win %0.517 [164]
Adj. Efficiency Δ0.7 [166]
Strength of schedule269th
Adj. Pace71.8 [20]
Avg. Margin3.8 [91]
Consistency40th
3-point %33.2 [219]
3-point Ratio44.4 [79]
Free Throw %72.9 [174]
OffenseDefense
Adjusted Efficiency110.9 [121]110.2 [224]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%48.3 [295]0.8 [221]
Offensive Turnover %14.8 [81]-0.24 [289]
Offensive Rebound %33.6 [76]0.37 [137]
Free Throw Rate39.5 [78]-0.04 [325]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%52.2 [221]0.75 [294]
Defensive Turnover %15.2 [263]-0.29 [284]
Defensive Rebound %72.8 [81]-0.43 [91]
Opponent Free Throw Rate35.8 [215]0.28 [101]

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