#99 Illinois Chicago

Chicago, IL - Missouri Valley
2025-2026 Schedule
Date Opponent Score
Nov 3 vs Detroit MercyW 91 - 71
Nov 7 @ Oregon StateL 76 - 73
Nov 15 @ Chicago StW 67 - 63
Nov 20 (N) High PointL 90 - 80
Nov 22 (N) Southern IndianaW 84 - 73
Nov 26 @ Robert MorrisL 88 - 74
Dec 3 vs Arkansas Pine BluffL 63 - 62
Dec 7 @ YaleL 80 - 66
Dec 13 @ BelmontL 87 - 84
Dec 17 vs Northern IowaL 60 - 54
Dec 21 @ CharlotteL 88 - 76 (OT)
Jan 1 vs Murray StL 81 - 77
Jan 4 @ ValparaisoL 66 - 59
Jan 7 vs Southern IllinoisW 70 - 57
Jan 10 @ Illinois StW 63 - 59 (OT)
Jan 13 @ Northern IowaW 69 - 61
Jan 17 vs DrakeW 74 - 67
Jan 20 vs EvansvilleW 76 - 49
Jan 24 @ BradleyW 85 - 70
Jan 27 vs Indiana StW 76 - 74
Jan 31 @ Southern IllinoisW 68 - 66
Feb 3 @ Murray StL 81 - 74
Feb 6 vs BelmontL 68 - 62
Feb 12 @ DrakeW 80 - 70
Feb 15 vs Illinois StW 83 - 56
Feb 18 @ EvansvilleW 84 - 46
Feb 21 vs ValparaisoL 71 - 67
Feb 24 vs BradleyW 93 - 86 (2 OT)
Mar 1 @ Indiana StL 79 - 63
Mar 6 (N) Murray StW 92 - 79
Mar 7 (N) DrakeW 72 - 51
Mar 8 (N) Northern IowaL 84 - 69
Mar 18 @ CaliforniaL 91 - 73
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
Record17-16
vs Conference14-9
vs Top 500-2
Adj. Predicted Win %0.644 [99]
Adj. Efficiency Δ7.5 [98]
Strength of schedule107th
Adj. Pace66.9 [253]
Avg. Margin2.7 [113]
Consistency190th
3-point %31.6 [304]
3-point Ratio33 [320]
Free Throw %72.5 [186]
OffenseDefense
Adjusted Efficiency111.9 [107]104.4 [105]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%51.9 [165]0.8 [237]
Offensive Turnover %17 [240]-0.4 [163]
Offensive Rebound %36.1 [29]0.04 [351]
Free Throw Rate37.6 [124]-0.13 [228]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%50.2 [127]0.81 [191]
Defensive Turnover %20.4 [16]-0.1 [354]
Defensive Rebound %66.2 [323]-0.58 [20]
Opponent Free Throw Rate34.1 [170]0.35 [59]

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