#212 James Madison

Harrisonburg, VA - Sun Belt
2025-2026 Schedule
Date Opponent Score
Nov 3 @ AkronL 85 - 71
Nov 9 vs Coppin StW 84 - 70
Nov 12 @ LongwoodL 82 - 72
Nov 15 @ Long Island UniversityL 88 - 79
Nov 18 vs TowsonW 81 - 75
Nov 24 @ Florida InternationalW 80 - 72
Nov 25 (N) OmahaW 88 - 77
Nov 29 @ George MasonL 82 - 66
Dec 3 vs North Carolina CentralW 67 - 62
Dec 6 vs Norfolk StW 68 - 67
Dec 17 @ Old DominionL 77 - 68
Dec 20 @ Georgia SouthernL 96 - 92 (OT)
Dec 29 @ #19 ArkansasL 103 - 74
Jan 3 @ Arkansas StW 78 - 74
Jan 7 vs MarshallL 66 - 64
Jan 10 vs Old DominionW 70 - 69
Jan 15 @ App StL 80 - 65
Jan 17 @ MarshallL 77 - 72
Jan 22 vs South AlabamaL 90 - 83
Jan 24 vs Texas StW 82 - 57
Jan 29 @ TroyW 73 - 64
Jan 31 @ Southern MissL 73 - 65
Feb 4 vs LouisianaL 64 - 61
Feb 7 vs ToledoW 73 - 71
Feb 12 vs Georgia StW 81 - 79 (OT)
Feb 14 vs App StW 69 - 58
Feb 18 @ Coastal CarolinaW 67 - 65
Feb 21 @ Georgia StW 80 - 65
Feb 25 vs Georgia SouthernW 82 - 66
Feb 27 vs Coastal CarolinaL 69 - 68
Mar 4 (N) LouisianaW 87 - 72
Mar 5 (N) Southern MissL 86 - 80
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
Record17-15
vs Conference10-10
vs Top 500-1
Adj. Predicted Win %0.433 [212]
Adj. Efficiency Δ-2.8 [209]
Strength of schedule263rd
Adj. Pace67.2 [232]
Avg. Margin0.3 [170]
Consistency34th
3-point %35.4 [93]
3-point Ratio42.4 [128]
Free Throw %70.3 [262]
OffenseDefense
Adjusted Efficiency109.4 [158]112.2 [263]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%53.6 [101]0.75 [300]
Offensive Turnover %17.2 [253]-0.08 [350]
Offensive Rebound %30.5 [173]0.21 [277]
Free Throw Rate34.1 [203]-0.04 [324]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%50.3 [135]0.74 [306]
Defensive Turnover %12.4 [359]-0.28 [293]
Defensive Rebound %72 [101]-0.33 [178]
Opponent Free Throw Rate43.8 [342]0.15 [201]

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