#331 Alcorn St

Lorman, MS - SWAC
2025-2026 Schedule
Date Opponent Score
Nov 4 @ Florida StL 108 - 76
Nov 6 @ South AlabamaL 76 - 70
Nov 8 @ MinnesotaL 95 - 50
Nov 11 @ MarylandL 84 - 64
Nov 13 @ HowardL 72 - 64
Nov 18 @ LSUL 107 - 81
Nov 23 @ OklahomaL 72 - 53
Nov 28 (N) Indiana StW 81 - 74
Nov 29 @ Louisiana TechL 83 - 58
Dec 3 @ #11 Iowa StL 132 - 68
Dec 19 @ BaylorL 113 - 56
Dec 29 @ MississippiL 79 - 43
Jan 3 @ Jackson StL 89 - 86
Jan 10 @ Alabama A&MW 64 - 62
Jan 12 @ Alabama StL 81 - 66
Jan 17 vs Texas SouthernL 72 - 71
Jan 19 vs Prairie View A&MW 76 - 75
Jan 24 @ Florida A&ML 66 - 58
Jan 26 @ Bethune CookmanL 82 - 73
Jan 31 vs Southern UniversityW 78 - 73
Feb 2 vs GramblingL 74 - 50
Feb 7 @ Arkansas Pine BluffL 84 - 77
Feb 9 @ Mississippi Valley StW 74 - 66
Feb 14 vs Bethune CookmanW 57 - 55
Feb 16 vs Florida A&ML 86 - 78
Feb 21 vs Jackson StW 83 - 65
Feb 26 @ Texas SouthernL 92 - 87 (OT)
Feb 28 @ Prairie View A&ML 72 - 51
Mar 3 vs Mississippi Valley StW 67 - 64
Mar 5 vs Arkansas Pine BluffL 83 - 48
Mar 9 (N) Alabama StW 77 - 65
Mar 10 (N) Prairie View A&ML 65 - 56
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
Record9-23
vs Conference8-12
vs Top 500-3
Adj. Predicted Win %0.192 [331]
Adj. Efficiency Δ-22.5 [348]
Strength of schedule273rd
Adj. Pace67.7 [208]
Avg. Margin-13.3 [354]
Consistency339th
3-point %33.3 [211]
3-point Ratio33.8 [300]
Free Throw %70.8 [245]
OffenseDefense
Adjusted Efficiency94.8 [349]117.3 [328]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%46.3 [336]0.8 [226]
Offensive Turnover %17.2 [255]-0.43 [127]
Offensive Rebound %24 [340]0.41 [95]
Free Throw Rate31.8 [265]0.34 [65]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%56.2 [336]0.82 [174]
Defensive Turnover %17 [128]-0.33 [255]
Defensive Rebound %62.9 [360]-0.49 [56]
Opponent Free Throw Rate36.1 [224]0.1 [242]

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