#296 Le Moyne

Syracuse, NY - Northeast
2025-2026 Schedule
Date Opponent Score
Nov 6 @ XavierL 74 - 69
Nov 9 @ Bowling GreenL 83 - 60
Nov 13 @ MassachusettsL 94 - 80
Nov 17 vs NiagaraW 74 - 68
Nov 22 vs FairfieldL 97 - 83
Nov 28 @ LafayetteW 76 - 63
Nov 29 (N) MonmouthW 83 - 79
Nov 30 (N) Ball StL 96 - 85
Dec 6 @ BinghamtonW 78 - 63
Dec 16 @ TexasL 95 - 53
Dec 20 @ St. BonaventureL 92 - 81
Dec 28 @ Boston CollegeL 72 - 64
Jan 2 @ Saint FrancisW 84 - 58
Jan 4 @ MercyhurstL 74 - 60
Jan 8 vs New HavenW 73 - 47
Jan 10 vs Central ConnecticutL 69 - 59
Jan 17 @ Chicago StW 72 - 57
Jan 19 vs Long Island UniversityW 83 - 77
Jan 23 vs WagnerW 69 - 67
Jan 26 @ Fairleigh DickinsonW 87 - 74
Jan 29 @ Long Island UniversityL 83 - 61
Jan 31 vs StonehillL 65 - 54
Feb 5 @ WagnerL 79 - 78
Feb 7 vs Saint FrancisW 86 - 84
Feb 12 vs MercyhurstW 58 - 57
Feb 14 vs Chicago StW 81 - 63
Feb 19 @ Central ConnecticutL 78 - 77
Feb 21 @ StonehillL 77 - 68
Feb 26 vs Fairleigh DickinsonW 76 - 59
Feb 28 @ New HavenL 66 - 59
Mar 4 vs StonehillL 81 - 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
Record14-17
vs Conference10-9
vs Top 500-1
Adj. Predicted Win %0.294 [296]
Adj. Efficiency Δ-11.7 [297]
Strength of schedule356th
Adj. Pace71.5 [27]
Avg. Margin-1.6 [218]
Consistency229th
3-point %34.3 [152]
3-point Ratio41 [145]
Free Throw %71.8 [214]
OffenseDefense
Adjusted Efficiency101.5 [294]113.2 [284]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%51.3 [188]0.88 [44]
Offensive Turnover %19.9 [351]-0.26 [275]
Offensive Rebound %23.6 [346]0.06 [345]
Free Throw Rate40.9 [59]0.46 [17]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%52 [199]0.78 [260]
Defensive Turnover %13.6 [335]-0.25 [308]
Defensive Rebound %69.7 [194]-0.7 [1]
Opponent Free Throw Rate33.7 [158]0.24 [128]

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