#23 Ohio St

Columbus, OH - Big Ten
2025-2026 Schedule
Date Opponent Score
Nov 3 vs IU IndianapolisW 118 - 102
Nov 7 vs Purdue Fort WayneW 94 - 68
Nov 11 vs App StW 75 - 53
Nov 16 vs Notre DameW 64 - 63
Nov 20 vs Western MichiganW 91 - 58
Nov 25 vs Mount St. Mary'sW 113 - 60
Nov 28 @ PittsburghL 67 - 66
Dec 6 @ NorthwesternW 86 - 82
Dec 9 vs #8 IllinoisL 88 - 80
Dec 13 (N) West VirginiaW 89 - 88 (2 OT)
Dec 20 (N) North CarolinaL 71 - 70
Dec 23 vs GramblingW 89 - 63
Jan 2 @ RutgersW 80 - 73
Jan 5 vs #15 NebraskaL 72 - 69
Jan 8 @ OregonW 72 - 62
Jan 11 @ WashingtonL 81 - 74
Jan 17 vs UCLAW 86 - 74
Jan 20 vs MinnesotaW 82 - 74 (OT)
Jan 23 @ #2 MichiganL 74 - 62
Jan 26 vs Penn StW 84 - 78
Jan 31 @ #25 WisconsinL 92 - 82
Feb 5 @ MarylandW 82 - 62
Feb 8 vs #2 MichiganL 82 - 61
Feb 11 vs Southern CaliforniaW 89 - 82
Feb 14 (N) #13 VirginiaL 70 - 66
Feb 17 vs #25 WisconsinW 86 - 69
Feb 22 @ #9 Michigan StL 66 - 60
Feb 25 @ IowaL 74 - 57
Mar 1 vs #5 PurdueW 82 - 74
Mar 4 @ Penn StW 94 - 62
Mar 7 vs IndianaW 91 - 78
Mar 12 (N) IowaW 72 - 69
Mar 13 (N) #2 MichiganL 71 - 67
Mar 19 (N) Texas ChristianL 66 - 64
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
Record21-13
vs Conference13-9
vs Top 504-11
Adj. Predicted Win %0.854 [23]
Adj. Efficiency Δ23.7 [26]
Strength of schedule44th
Adj. Pace65.9 [295]
Avg. Margin6.7 [53]
Consistency269th
3-point %35.7 [76]
3-point Ratio40.3 [168]
Free Throw %77.7 [21]
OffenseDefense
Adjusted Efficiency124.3 [19]100.6 [53]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%59.4 [10]0.84 [134]
Offensive Turnover %14.3 [50]0.13 [336]
Offensive Rebound %33.1 [88]0.52 [36]
Free Throw Rate44.7 [11]0.43 [29]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%48.1 [47]0.71 [330]
Defensive Turnover %16.6 [154]-0.45 [148]
Defensive Rebound %73.7 [49]-0.32 [186]
Opponent Free Throw Rate31.7 [108]0.09 [252]

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