#98 Syracuse

Syracuse, NY - ACC
2025-2026 Schedule
Date Opponent Score
Nov 3 vs BinghamtonW 85 - 47
Nov 8 vs Delaware StW 83 - 43
Nov 15 (N) DrexelW 80 - 50
Nov 18 vs MonmouthW 78 - 73
Nov 24 (N) #4 HoustonL 78 - 74 (OT)
Nov 25 (N) #21 KansasL 71 - 60
Nov 26 (N) #11 Iowa StL 95 - 64
Dec 2 vs #20 TennesseeW 62 - 60
Dec 11 vs Saint Joseph'sW 71 - 63
Dec 13 vs HofstraL 70 - 69
Dec 17 vs MercyhurstW 76 - 62
Dec 20 vs NortheasternW 91 - 83
Dec 22 vs StonehillW 77 - 48
Dec 31 vs ClemsonL 64 - 61
Jan 6 @ Georgia TechW 82 - 72
Jan 10 @ PittsburghW 83 - 72
Jan 13 vs Florida StW 94 - 86
Jan 17 @ Boston CollegeL 81 - 73 (OT)
Jan 21 vs Virginia TechL 76 - 74
Jan 24 vs MiamiL 85 - 76
Jan 27 @ North Carolina StL 88 - 68
Jan 31 vs Notre DameW 86 - 72
Feb 2 @ North CarolinaL 87 - 77
Feb 7 @ #13 VirginiaL 72 - 59
Feb 11 vs CaliforniaW 107 - 100 (2 OT)
Feb 14 vs Southern MethodistW 79 - 78
Feb 16 @ #3 DukeL 101 - 64
Feb 21 vs North CarolinaL 77 - 64
Feb 28 @ Wake ForestL 88 - 83
Mar 3 @ LouisvilleL 77 - 62
Mar 7 vs PittsburghL 71 - 69 (OT)
Mar 10 (N) Southern MethodistL 86 - 69
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
Record15-17
vs Conference6-13
vs Top 502-11
Adj. Predicted Win %0.646 [98]
Adj. Efficiency Δ9.6 [89]
Strength of schedule71st
Adj. Pace67.7 [205]
Avg. Margin0.8 [159]
Consistency338th
3-point %32.9 [238]
3-point Ratio37.1 [228]
Free Throw %64.8 [360]
OffenseDefense
Adjusted Efficiency113.4 [90]103.8 [92]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%55.1 [66]0.81 [208]
Offensive Turnover %15.2 [98]-0.42 [137]
Offensive Rebound %30.5 [169]0.37 [135]
Free Throw Rate36.4 [145]0.16 [199]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%49.4 [96]0.92 [6]
Defensive Turnover %16.5 [170]-0.69 [9]
Defensive Rebound %69 [231]-0.37 [129]
Opponent Free Throw Rate33.7 [159]-0.08 [257]

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