#32 North Carolina

Chapel Hill, NC - ACC
2025-2026 Schedule
Date Opponent Score
Nov 3 vs Central ArkansasW 94 - 54
Nov 7 vs #21 KansasW 87 - 74
Nov 11 vs RadfordW 89 - 74
Nov 14 vs North Carolina CentralW 97 - 53
Nov 18 vs NavyW 73 - 61
Nov 25 (N) St. BonaventureW 85 - 70
Nov 27 (N) #9 Michigan StL 74 - 58
Dec 2 @ KentuckyW 67 - 64
Dec 7 vs GeorgetownW 81 - 61
Dec 13 vs USC UpstateW 80 - 62
Dec 16 vs East Tennessee StW 77 - 58
Dec 20 (N) #23 Ohio StW 71 - 70
Dec 22 vs East CarolinaW 99 - 51
Dec 30 vs Florida StW 79 - 66
Jan 3 @ Southern MethodistL 97 - 83
Jan 10 vs Wake ForestW 87 - 84
Jan 14 @ StanfordL 95 - 90
Jan 17 @ CaliforniaL 84 - 78
Jan 21 vs Notre DameW 91 - 69
Jan 24 @ #13 VirginiaW 85 - 80
Jan 31 @ Georgia TechW 91 - 75
Feb 2 vs SyracuseW 87 - 77
Feb 7 vs #3 DukeW 71 - 68
Feb 10 @ MiamiL 75 - 66
Feb 14 vs PittsburghW 79 - 65
Feb 17 @ North Carolina StL 82 - 58
Feb 21 @ SyracuseW 77 - 64
Feb 23 vs LouisvilleW 77 - 74
Feb 28 vs Virginia TechW 89 - 82
Mar 3 vs ClemsonW 67 - 63
Mar 7 @ #3 DukeL 76 - 61
Mar 12 (N) ClemsonL 80 - 79
Mar 19 (N) Virginia CommonwealthL 82 - 78 (OT)
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
Record24-9
vs Conference12-7
vs Top 507-6
Adj. Predicted Win %0.823 [32]
Adj. Efficiency Δ21.1 [31]
Strength of schedule41st
Adj. Pace68.7 [143]
Avg. Margin8.1 [39]
Consistency277th
3-point %34.2 [162]
3-point Ratio42.2 [132]
Free Throw %68.2 [322]
OffenseDefense
Adjusted Efficiency119.4 [41]98.3 [30]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%56.7 [38]0.82 [172]
Offensive Turnover %13.5 [21]-0.31 [241]
Offensive Rebound %31.2 [141]0.26 [239]
Free Throw Rate39.9 [74]0.4 [39]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%46.8 [27]0.91 [8]
Defensive Turnover %14.6 [291]-0.26 [304]
Defensive Rebound %74.8 [20]0 [364]
Opponent Free Throw Rate22.5 [3]0.14 [207]

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