The model#124 among Division II teams
Updated Wed Nov 4 · through week 9
Schedule and results
University of Mary · 2026 schedule and results2-7Balanced slateAverage opponent win rate 59%.
| Wk | Date | Opponent | Result | Record | Conf | Top performers |
|---|---|---|---|---|---|---|
| 1 | Aug 27 | Rocky Mountain (N) | L 10-23 | 0-1 | 0-0 | |
| 1 | Sep 5 | Minnesota State | L 7-48 | 0-2 | 0-1 | |
| 2 | Sep 12 | @Concordia St. Paul | W 13-10 | 1-2 | 1-1 | |
| 3 | Sep 19 | Sioux Falls | L 34-40 | 1-3 | 1-2 | |
| 4 | Sep 26 | @Northern State | L 14-21 | 1-4 | 1-3 | |
| 5 | Oct 3 | Jamestown | W 21-13 | 2-4 | 2-3 | |
| 6 | Oct 10 | @Minnesota St Moorhead | L 22-42 | 2-5 | 2-4 | |
| 7 | Bye week | |||||
| 8 | Oct 24 | Minnesota Duluth | L 12-27 | 2-6 | 2-5 | |
| 9 | Oct 31 | @Minot State | L 31-34 | 2-7 | 2-6 | |
| 10 | Nov 7 | @Winona State | 2 pm ET20% to win | |||
| 11 | Nov 14 | Bemidji State | 2 pm ET27% to win | |||
How to read this table
Win chances are our model for University of Mary, through 9 games. This week's game comes from the playoff simulation, later games from the rating model. They are estimates and move every week.
Ahead
The forecast
The games that decide the season
The games that decide the season
Recent form · last 10 games
University of Mary has won one of its last five.
2-8 over the last 10, and lost the last three.
Streak L3Last 5 · 1-4Last 10 · 2-8
More in this tab
Worth watching
What it is like to watch them2026 · 2-7
Game feel47even gamescombined pts / game9th highest-scoring of 14 in the Northern Sun
Heart rate2-3some dramain one-score games (5 of 9)6th most one-score games of 14 in the Northern Sun
Margin−10.4outgunnedavg scoring margin11th best margin of 14 in the Northern Sun
Measured from 9 games · ranks are among Northern Sun teams the same season
Team story
The weekly grind
University of Mary is 2-7 and plays at Winona State next.
2026 Record2-7
Game day
The experience
University of Mary is 2-7 and plays at Winona State next.
This page may include content derived from public news sources, social media, and fan communities. We relay these sources as-is — we are not reporting them. Sources may be summarized or quoted imperfectly; for anything that matters, go look at the original source directly. The original source may also be wrong. Text written by our model says so in a line beneath it, and it can get facts wrong. All analysis is editorial opinion, not professional reporting. Data sources · About this site