#80 LSU

Baton Rouge, LA - SEC
2025-2026 Schedule
Date Opponent Score
Nov 5 vs Tarleton StW 96 - 60
Nov 10 vs New OrleansW 93 - 58
Nov 13 vs Florida InternationalW 98 - 81
Nov 18 vs Alcorn StW 107 - 81
Nov 21 vs OmahaW 99 - 73
Nov 28 (N) DrakeW 71 - 62
Nov 29 (N) DePaulW 96 - 63
Dec 3 @ Boston CollegeW 78 - 69 (OT)
Dec 7 (N) #16 Texas TechL 82 - 58
Dec 13 (N) Southern MethodistW 89 - 77
Dec 19 vs Southeastern LouisianaW 78 - 65
Dec 22 vs Prairie View A&MW 104 - 90
Dec 29 vs Southern MissW 90 - 62
Jan 3 @ Texas A&ML 75 - 72
Jan 6 vs South CarolinaL 78 - 68
Jan 10 @ #15 VanderbiltL 84 - 73
Jan 14 vs KentuckyL 75 - 74
Jan 17 vs MissouriW 78 - 70
Jan 20 @ #6 FloridaL 79 - 61
Jan 24 @ #19 ArkansasL 85 - 81
Jan 28 vs Mississippi StL 80 - 66
Jan 31 @ South CarolinaW 92 - 87 (OT)
Feb 7 vs GeorgiaL 83 - 71
Feb 10 vs #19 ArkansasL 91 - 62
Feb 14 @ #20 TennesseeL 73 - 63
Feb 17 @ TexasL 88 - 85
Feb 21 vs #10 AlabamaL 90 - 83
Feb 25 @ MississippiW 106 - 99 (2 OT)
Feb 28 vs OklahomaL 83 - 67
Mar 3 @ AuburnL 88 - 74
Mar 7 vs Texas A&ML 94 - 91 (3 OT)
Mar 11 (N) KentuckyL 87 - 82
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
Record15-17
vs Conference3-16
vs Top 501-12
Adj. Predicted Win %0.692 [80]
Adj. Efficiency Δ12.3 [70]
Strength of schedule59th
Adj. Pace67.5 [216]
Avg. Margin2.9 [106]
Consistency325th
3-point %33.1 [226]
3-point Ratio34.6 [282]
Free Throw %76.4 [42]
OffenseDefense
Adjusted Efficiency118.3 [51]106 [134]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%54 [92]0.77 [270]
Offensive Turnover %15.7 [130]-0.08 [352]
Offensive Rebound %34.1 [66]0.52 [35]
Free Throw Rate41.6 [38]0.48 [12]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%50.1 [125]0.83 [145]
Defensive Turnover %14.2 [316]-0.19 [335]
Defensive Rebound %70.4 [164]-0.4 [115]
Opponent Free Throw Rate35.2 [199]0.34 [60]

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