MVFC North Dakota

Record6-4through 10 games
Nextvs Illinois StateSat Nov 7 · 2 pm ET

LeadersPassing Jerry Kaminski 2,188 · Rushing Charles Langama 555 · Receiving Deng Deng 690 All player stats

The model#9 among FCS teams

Updated Wed Nov 4 · through week 9

Follow North Dakota:athletics siteInstagramstudent paper

Schedule and results

North Dakota · 2026 schedule and results6-4Balanced slateAverage opponent win rate 50% · 0 opponents played so far are in the AP top 25 now.
WkDateOpponentResultRecordConfTop performers
1Aug 27Long Island UniversityW 42-21North Dakota won 42-21 vs Long Island University. Chance to win started at 99%, low 99%, high better than 99%.1-00-0Pass Kaminski 232 · Rush Langama 51 · Rec Goodloe 118
1Sep 5St. Thomas (MN)W 62-26North Dakota won 62-26 vs St. Thomas (MN). Chance to win started at 98%, low 98%, high better than 99%.2-00-0Pass Kaminski 233 · Rush Langama 120 · Rec Deng 82
2Sep 12@Portland StateW 47-23North Dakota won 47-23 at Portland State. Chance to win started at 93%, low 92%, high better than 99%.3-00-0Pass Kaminski 336 · Rush Langama 83 · Rec Tai 140
3Sep 19@NebraskaL 7-34 126North Dakota lost 7-34 at Nebraska. Chance to win started at 3%, low under 1%, high 3%.3-10-0Pass Kaminski 106 · Rush Lawson 34 · Rec Deng 59
4Sep 26@Indiana StateW 42-35North Dakota won 42-35 at Indiana State. Chance to win started at 84%, low 80%, high better than 99%.4-11-0Pass Kaminski 381 · Rush Kaminski 86 · Rec Deng 101
5Oct 3Murray StateW 55-28North Dakota won 55-28 vs Murray State. Chance to win started at 99%, low 73%, high better than 99%.5-12-0Pass Kaminski 186 · Rush Langama 106 · Rec Deng 79
6Oct 10@Northern IowaL 17-24North Dakota lost 17-24 at Northern Iowa. Chance to win started at 74%, low under 1%, high 88%.5-22-1Pass Kaminski 152 · Rush Lawson 57 · Rec Deng 80
7Oct 17South Dakota StateW 21-10North Dakota won 21-10 vs South Dakota State. Chance to win started at 22%, low 17%, high better than 99%.6-23-1Pass Kaminski 116 · Rush Lawson 99 · Rec Deng 40
8Oct 24@South DakotaL 23-26North Dakota lost 23-26 at South Dakota. Chance to win started at 31%, low under 1%, high 62%.6-33-2Pass Kaminski 251 · Rush Lawson 46 · Rec Deng 88
9Oct 31@Youngstown StateL 28-31North Dakota lost 28-31 at Youngstown State. Chance to win started at 29%, low 4%, high 91%.6-43-3Pass Kaminski 195 · Rush Lawson 99 · Rec Deng 84
10Nov 7Illinois State2 pm ET57% to win
11Bye week
12Nov 21Southern Illinois2 pm ET85% to win
How to read this table

Win chances are our model for North Dakota, through 10 games. This week's game comes from the playoff simulation, later games from the rating model. They are estimates and move every week.

The small line beside each score is the team's win chance through the game, drawn on one scale for every game. The small number is total plays.

Advanced box score (EPA, success rate, big plays)▼
DateOppResultYdsTOTOPEPA/playSuccess%Big plays (IsoPPP)Note
Oct 31@Youngstown StateL 28-31———+0.22350.0%1.08One-score loss
Oct 24@South DakotaL 23-26———−0.00437.3%0.91One-score loss
Oct 17South Dakota StateW 21-10———+0.06141.9%1.03
Oct 10@Northern IowaL 17-24———−0.39541.0%0.86Season-low EPA/play
Oct 3Murray StateW 55-28———+0.11051.4%0.87
Sep 26@Indiana StateW 42-35———+0.27643.5%1.31One-score win
Sep 19@NebraskaL 7-34205024:15−0.02931.6%1.68Most explosive
Sep 12@Portland StateW 47-23———+0.52458.6%1.37Season-high EPA/play
Sep 5St. Thomas (MN)W 62-26———+0.37061.6%1.10Best success rate
Aug 27Long Island UniversityW 42-21———+0.28448.7%1.11
Season average (10 games)2050.0+0.14246.6%1.13

Ahead

The forecast

The games that decide the season

The games that decide the season

Sat Nov 7Next: Illinois Statevs Illinois State · at home

Recent form · last 10 games

North Dakota has won two of its last five.

6-4 over the last 10, and lost the last two.

Streak L2Last 5 · 2-3Last 10 · 6-4

Range of outcomes · North Dakota · 2026

North Dakota’s base case is 7-5, mid-table finish. The floor is 7-5; the ceiling is 8-4.

What each outcome looks like
Floor7-5Competitive, but outside the at-large field.
Base7-5Mid-table finish. Conference title a stretch.
Ceiling8-4Conference title race. Playoff bid in play.

Floor, base and ceiling come from the season-path projection's regular season. Every scenario starts from the 6-4 record so far.

More in this tab

Worth watchingGames average 60 combined points, even games

What it is like to watch them2026 · 6-4

Game feel60even gamescombined pts / game4th highest-scoring of 9 in the MVFC
Heart rate1-3white-knucklein one-score games (4 of 10)2nd most one-score games of 9 in the MVFC
Margin+8.6competitiveavg scoring margin5th best margin of 9 in the MVFC
Big plays1.13some popexplosiveness (IsoPPP)7th most explosive of 9 in the MVFC
Home crowd11,290avg attendance2nd biggest crowds of 9 in the MVFC

Measured from 10 games · ranks are among MVFC teams the same season

Team storyThe story of this team right now, in one line.
The weekly grind

North Dakota is 6-4 and hosts Illinois State next.

2026 Record6-4
Read the full program story ↓
Game dayWhat a Saturday in this stadium actually feels like.
The experience

North Dakota is 6-4 and hosts Illinois State next.

RosterWho's gone, who's back, who replaces them.

Roster reload: North Dakota

2026 snapshot, Nov 4
Returning ProductionNAContinuity signal unavailable
Portal Additions2Primary repair: EDGE
Portal Losses3Primary pressure: CB
Draft Loss0No NFL Draft departures recorded
Recruiting ReloadNARecruiting class signal unavailable
DLin 0out 1 - Emmanuel Olagbaju3.70Downgrade
CBin 0out 1 - Antonio Bluiett3.60Downgrade
RBin 0out 1 - Sawyer Seidl3.50Even
EDGEin 1 - Kylyn Macklin3.20out 0Upgrade
WRin 1 - Cameron Weir1.00out 0Even
Possession ReceiverReturn threatmoves the chains on third down a house-call threat every time he fields it
Transferred in
FollowThe team's own sites, its reporters and its podcasts.

Follow North Dakota

Each link was checked against two outside sites.

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