#6 Florida

Gainesville, FL - SEC
2025-2026 Schedule
Date Opponent Score
Nov 3 (N) #1 ArizonaL 93 - 87
Nov 6 vs North FloridaW 104 - 64
Nov 11 vs Florida StW 78 - 76
Nov 16 (N) MiamiW 82 - 68
Nov 21 vs MerrimackW 80 - 45
Nov 27 (N) Texas ChristianL 84 - 80
Nov 28 (N) ProvidenceW 90 - 78
Dec 2 @ #3 DukeL 67 - 66
Dec 9 (N) #5 ConnecticutL 77 - 73
Dec 13 (N) George WashingtonW 80 - 70
Dec 17 vs Saint FrancisW 102 - 61
Dec 21 vs ColgateW 90 - 60
Dec 29 vs DartmouthW 94 - 72
Jan 3 @ MissouriL 76 - 74
Jan 6 vs GeorgiaW 92 - 77
Jan 10 vs #20 TennesseeW 91 - 67
Jan 13 @ OklahomaW 96 - 79
Jan 17 @ #15 VanderbiltW 98 - 94
Jan 20 vs LSUW 79 - 61
Jan 24 vs AuburnL 76 - 67
Jan 28 @ South CarolinaW 95 - 48
Feb 1 vs #10 AlabamaW 100 - 77
Feb 7 @ Texas A&MW 86 - 67
Feb 11 @ GeorgiaW 86 - 66
Feb 14 vs KentuckyW 92 - 83
Feb 17 vs South CarolinaW 76 - 62
Feb 21 @ MississippiW 94 - 75
Feb 25 @ TexasW 84 - 71
Feb 28 vs #19 ArkansasW 111 - 77
Mar 3 vs Mississippi StW 108 - 74
Mar 7 @ KentuckyW 84 - 77
Mar 13 (N) KentuckyW 71 - 63
Mar 14 (N) #15 VanderbiltL 91 - 74
Mar 20 (N) Prairie View A&MW 114 - 55
Mar 22 (N) IowaL 73 - 72
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
Record27-8
vs Conference17-3
vs Top 5010-7
Adj. Predicted Win %0.933 [6]
Adj. Efficiency Δ35.5 [7]
Strength of schedule15th
Adj. Pace70.6 [53]
Avg. Margin15.6 [6]
Consistency312th
3-point %31.2 [314]
3-point Ratio37.4 [222]
Free Throw %71.2 [232]
OffenseDefense
Adjusted Efficiency126.6 [9]91.1 [6]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%58 [17]0.82 [186]
Offensive Turnover %16 [165]-0.56 [42]
Offensive Rebound %45.3 [2]0.39 [115]
Free Throw Rate41.8 [37]-0.38 [46]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%43.6 [6]0.87 [64]
Defensive Turnover %16.6 [158]-0.27 [297]
Defensive Rebound %76.4 [7]-0.49 [55]
Opponent Free Throw Rate34.9 [193]0.45 [21]

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