#298 Grambling

Grambling, LA - SWAC
2025-2026 Schedule
Date Opponent Score
Nov 6 @ #11 Iowa StL 102 - 62
Nov 9 @ HowardW 73 - 70
Nov 13 vs Southern MissW 75 - 70
Nov 18 @ San DiegoL 78 - 68
Nov 21 @ California BaptistL 72 - 59
Nov 24 @ California RiversideL 83 - 74
Dec 2 @ TulaneL 65 - 63
Dec 8 @ Southern MissL 68 - 60
Dec 18 (N) Norfolk StW 80 - 68
Dec 19 (N) HamptonW 81 - 72
Dec 23 @ #23 Ohio StL 89 - 63
Jan 3 vs Prairie View A&MW 76 - 72
Jan 5 vs Texas SouthernW 84 - 67
Jan 10 @ Bethune CookmanL 74 - 65
Jan 12 @ Florida A&ML 91 - 84
Jan 17 vs Southern UniversityL 71 - 53
Jan 31 @ Jackson StW 69 - 66
Feb 2 @ Alcorn StW 74 - 50
Feb 4 vs Arkansas Pine BluffL 67 - 64
Feb 7 vs Alabama StW 57 - 47
Feb 9 vs Alabama A&ML 66 - 58
Feb 14 @ Texas SouthernL 82 - 79
Feb 16 @ Prairie View A&ML 68 - 63
Feb 21 @ Southern UniversityL 87 - 73
Feb 23 vs Mississippi Valley StW 83 - 62
Feb 26 vs Bethune CookmanL 76 - 71
Feb 28 vs Florida A&ML 66 - 59
Mar 3 @ Alabama A&ML 77 - 63
Mar 5 @ Alabama StW 65 - 63
Mar 9 (N) Mississippi Valley StW 77 - 52
Mar 10 (N) Jackson StL 68 - 65
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
Record12-19
vs Conference8-12
vs Top 500-2
Adj. Predicted Win %0.285 [298]
Adj. Efficiency Δ-11.2 [294]
Strength of schedule331st
Adj. Pace68.7 [139]
Avg. Margin-2.2 [226]
Consistency153rd
3-point %32.3 [265]
3-point Ratio38.2 [210]
Free Throw %72.9 [173]
OffenseDefense
Adjusted Efficiency95.9 [343]107.1 [158]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%46.4 [332]0.88 [41]
Offensive Turnover %20.2 [355]-0.38 [180]
Offensive Rebound %28 [246]0.11 [325]
Free Throw Rate37.1 [134]-0 [365]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%52.8 [243]0.87 [53]
Defensive Turnover %20.3 [19]-0.03 [361]
Defensive Rebound %67.1 [295]-0.19 [282]
Opponent Free Throw Rate39.9 [295]0.55 [4]

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