#9 Michigan St

East Lansing, MI - Big Ten
2025-2026 Schedule
Date Opponent Score
Nov 3 vs ColgateW 80 - 69
Nov 8 vs #19 ArkansasW 69 - 66
Nov 13 vs San José StW 79 - 60
Nov 18 (N) KentuckyW 83 - 66
Nov 21 vs Detroit MercyW 84 - 56
Nov 25 (N) East CarolinaW 89 - 56
Nov 27 (N) North CarolinaW 74 - 58
Dec 2 vs IowaW 71 - 52
Dec 6 vs #3 DukeL 66 - 60
Dec 13 @ Penn StW 76 - 72
Dec 16 vs ToledoW 92 - 69
Dec 20 (N) OaklandW 79 - 70
Dec 29 vs CornellW 114 - 97
Jan 2 @ #14 NebraskaL 58 - 56
Jan 5 vs Southern CaliforniaW 80 - 51
Jan 8 vs NorthwesternW 76 - 66
Jan 13 vs IndianaW 81 - 60
Jan 17 @ WashingtonW 80 - 63
Jan 20 @ OregonW 68 - 52
Jan 24 vs MarylandW 91 - 48
Jan 27 @ RutgersW 88 - 79 (OT)
Jan 30 vs #2 MichiganL 83 - 71
Feb 4 @ MinnesotaL 76 - 73
Feb 7 vs #8 IllinoisW 85 - 82 (OT)
Feb 13 @ #25 WisconsinL 92 - 71
Feb 17 vs UCLAW 82 - 59
Feb 22 vs #23 Ohio StW 66 - 60
Feb 26 @ #7 PurdueW 76 - 74
Mar 1 @ IndianaW 77 - 64
Mar 5 vs RutgersW 91 - 87
Mar 8 @ #2 MichiganL 90 - 80
Mar 13 (N) UCLAL 88 - 84
Mar 19 (N) North Dakota StW 92 - 67
Mar 21 (N) LouisvilleW 77 - 69
Mar 27 (N) #5 ConnecticutL 67 - 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
Record27-8
vs Conference15-6
vs Top 509-7
Adj. Predicted Win %0.919 [9]
Adj. Efficiency Δ28.4 [12]
Strength of schedule14th
Adj. Pace67.2 [236]
Avg. Margin10.5 [20]
Consistency187th
3-point %36.3 [46]
3-point Ratio36.5 [239]
Free Throw %76.4 [41]
OffenseDefense
Adjusted Efficiency122.2 [31]93.8 [14]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%56.7 [37]0.83 [146]
Offensive Turnover %16.3 [181]-0.17 [316]
Offensive Rebound %40 [7]0.16 [303]
Free Throw Rate40.2 [67]0.12 [232]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%46.8 [29]0.84 [134]
Defensive Turnover %15.6 [228]-0.57 [53]
Defensive Rebound %80.1 [1]-0.18 [290]
Opponent Free Throw Rate28.3 [37]0.28 [100]

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