#245 North Dakota

Grand Forks, ND - Summit League
2025-2026 Schedule
Date Opponent Score
Nov 3 @ #10 AlabamaL 91 - 62
Nov 6 vs California RiversideL 74 - 70
Nov 9 vs Cal St NorthridgeL 93 - 85
Nov 15 @ California RiversideW 76 - 74
Nov 19 @ CreightonL 75 - 60
Nov 22 (N) Coastal CarolinaL 75 - 58
Nov 23 @ Western IllinoisW 78 - 69
Nov 28 @ Hawai'iL 92 - 55
Dec 3 @ IdahoL 90 - 58
Dec 6 vs MontanaL 79 - 75
Dec 13 vs Western IllinoisL 69 - 66 (OT)
Dec 18 vs WinthropW 90 - 88
Dec 21 @ #14 NebraskaL 78 - 55
Jan 1 vs Oral RobertsW 72 - 61
Jan 3 vs South Dakota StW 90 - 87 (OT)
Jan 8 @ OmahaL 90 - 79
Jan 10 @ Kansas CityW 81 - 79
Jan 15 vs St. Thomas MinnesotaL 91 - 80
Jan 17 vs South DakotaW 96 - 80
Jan 22 @ Oral RobertsW 79 - 62
Jan 24 @ DenverW 93 - 86
Jan 29 @ St. Thomas MinnesotaW 81 - 80
Feb 5 vs OmahaW 76 - 73
Feb 7 vs DenverL 98 - 79
Feb 11 @ South DakotaW 72 - 71
Feb 14 vs North Dakota StL 83 - 66
Feb 19 vs Kansas CityW 85 - 70
Feb 21 @ South Dakota StL 91 - 83
Feb 28 @ North Dakota StL 96 - 63
Mar 6 (N) DenverW 83 - 67
Mar 7 (N) St. Thomas MinnesotaW 67 - 66
Mar 8 (N) North Dakota StL 70 - 62
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 Conference12-7
vs Top 500-2
Adj. Predicted Win %0.371 [245]
Adj. Efficiency Δ-6.8 [244]
Strength of schedule211th
Adj. Pace68.9 [129]
Avg. Margin-5.4 [286]
Consistency198th
3-point %32.7 [244]
3-point Ratio40.8 [152]
Free Throw %69.5 [282]
OffenseDefense
Adjusted Efficiency103.6 [259]110.4 [232]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%48.3 [294]0.81 [213]
Offensive Turnover %15.1 [95]-0.57 [37]
Offensive Rebound %27.6 [259]0.52 [39]
Free Throw Rate46 [6]-0.13 [221]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%55.2 [319]0.72 [317]
Defensive Turnover %18.6 [54]-0.3 [280]
Defensive Rebound %66.5 [318]-0.3 [207]
Opponent Free Throw Rate43.9 [343]0.19 [157]

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