#311 Eastern Illinois

Charleston, IL - Ohio Valley
2025-2026 Schedule
Date Opponent Score
Nov 4 @ ValparaisoL 66 - 63
Nov 7 vs NichollsW 65 - 57
Nov 11 @ Notre DameL 78 - 58
Nov 14 @ KentuckyL 99 - 53
Nov 25 @ Central ArkansasL 81 - 60
Nov 28 @ #7 PurdueL 109 - 62
Dec 6 vs LindenwoodL 82 - 74
Dec 10 vs Eastern KentuckyL 68 - 59
Dec 14 @ #8 Iowa StL 78 - 53
Dec 18 vs SIU EdwardsvilleW 76 - 72 (OT)
Jan 1 @ Southeast Missouri StL 68 - 59
Jan 3 @ Tennessee MartinL 65 - 61
Jan 8 vs Tennessee TechW 71 - 61
Jan 10 vs Tennessee StW 74 - 70
Jan 13 vs Western IllinoisW 57 - 55
Jan 15 @ Little RockL 74 - 63
Jan 22 @ Southern IndianaW 59 - 51 (OT)
Jan 24 @ Morehead StL 73 - 68
Jan 29 vs Tennessee MartinL 76 - 68
Jan 31 vs Southeast Missouri StL 77 - 59
Feb 5 @ Tennessee StL 77 - 68
Feb 7 @ Tennessee TechW 60 - 54
Feb 10 @ Western IllinoisL 79 - 70
Feb 14 vs Little RockW 78 - 72
Feb 19 vs Morehead StL 73 - 70
Feb 21 vs Southern IndianaL 70 - 68
Feb 26 @ LindenwoodW 71 - 67
Feb 28 @ SIU EdwardsvilleL 77 - 50
Mar 4 (N) SIU EdwardsvilleW 77 - 71 (OT)
Mar 5 (N) Tennessee MartinL 66 - 63
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
Record10-20
vs Conference9-13
vs Top 500-3
Adj. Predicted Win %0.249 [311 nationally, 9th in Ohio Valley]
Adj. Efficiency Delta-14.4 [315]
Strength of schedule269th
Adj. Pace66.1 [287]
Avg. Margin-7.6 [319]
Consistency224th
3-point %31.7 [291]
3-point Ratio30.2 [351]
Free Throw %74.4 [107]
OffenseDefense
Adjusted Efficiency96.9 [339]111.3 [248]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%45.8 [347]0.52 [364]
Offensive Turnover %17 [239]-0.47 [107]
Offensive Rebound %28 [244]0.7 [2]
Free Throw Rate31.8 [264]-0.09 [261]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%53.7 [269]0.92 [5]
Defensive Turnover %18.9 [49]-0.32 [257]
Defensive Rebound %66.6 [312]-0.48 [57]
Opponent Free Throw Rate36.6 [231]-0.47 [17]

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