#14 Nebraska

Lincoln, NE - Big Ten
2025-2026 Schedule
Date Opponent Score
Nov 3 vs West GeorgiaW 86 - 53
Nov 8 vs Florida InternationalW 96 - 66
Nov 11 vs Maryland Eastern ShoreW 69 - 50
Nov 15 (N) OklahomaW 105 - 99
Nov 20 (N) New MexicoW 84 - 72
Nov 21 (N) Kansas StW 86 - 85
Nov 25 vs WinthropW 80 - 73
Nov 29 vs USC UpstateW 72 - 63
Dec 7 vs CreightonW 71 - 50
Dec 10 vs #25 WisconsinW 90 - 60
Dec 13 @ #8 IllinoisW 83 - 80
Dec 21 vs North DakotaW 78 - 55
Dec 30 vs New HampshireW 86 - 55
Jan 2 vs #9 Michigan StW 58 - 56
Jan 5 @ #23 Ohio StW 72 - 69
Jan 10 @ IndianaW 83 - 77
Jan 13 vs OregonW 90 - 55
Jan 17 @ NorthwesternW 77 - 58
Jan 21 vs WashingtonW 76 - 66
Jan 24 @ MinnesotaW 76 - 57
Jan 27 @ #2 MichiganL 75 - 72
Feb 1 vs #8 IllinoisL 78 - 69
Feb 7 @ RutgersW 80 - 68
Feb 10 vs #7 PurdueL 80 - 77 (OT)
Feb 14 vs NorthwesternW 68 - 49
Feb 17 @ IowaL 57 - 52
Feb 21 vs Penn StW 87 - 64
Feb 25 vs MarylandW 74 - 61
Feb 28 @ Southern CaliforniaW 82 - 67
Mar 3 @ UCLAL 72 - 52
Mar 8 vs IowaW 84 - 75 (OT)
Mar 13 (N) #7 PurdueL 74 - 58
Mar 19 (N) TroyW 76 - 47
Mar 21 (N) #15 VanderbiltW 74 - 72
Mar 26 (N) IowaL 77 - 71
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
Record28-7
vs Conference15-7
vs Top 508-7
Adj. Predicted Win %0.893 [14]
Adj. Efficiency Δ26.2 [20]
Strength of schedule48th
Adj. Pace67 [244]
Avg. Margin10.8 [19]
Consistency217th
3-point %35.5 [91]
3-point Ratio51.2 [9]
Free Throw %75.5 [65]
OffenseDefense
Adjusted Efficiency119.7 [40]93.5 [12]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%56.8 [34]0.75 [292]
Offensive Turnover %14.5 [66]-0.55 [52]
Offensive Rebound %28.5 [226]0.34 [175]
Free Throw Rate26.5 [350]-0.05 [314]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%46.7 [26]0.87 [61]
Defensive Turnover %20.4 [15]-0.6 [36]
Defensive Rebound %75.6 [14]-0.32 [188]
Opponent Free Throw Rate23.9 [8]0.35 [54]

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