Murray State vs. North Dakota prediction favors North Dakota to win in college football Week 5 [2026]

Using innovative machine learning and data analysis, we have re-simulated the outcome of Murray State vs. North Dakota, forming part of our college football predictions coverage.

Our leading predictive model gives North Dakota a 98.0% chance of defeating Murray State. Our predicted final score has North Dakota winning 47-11. According to our model, Murray State (+37.5) has a 54.2% chance of covering the spread, while the over/under total of 60.5 points has a 53.5% chance of staying under.

Latest betting odds

We have researched the best college football odds in America for this game, which are listed here:

• Spread: Murray State +37.5 (-115) / North Dakota -37.5 (-125)
• Moneyline: Murray State , North Dakota

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our predictions against the best current odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Moneyline: Over @ +115 via Bet365

According to our college football best bets, the top play to make on this game is Murray State +37.5.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Saturday's college football action between North Dakota and Murray State at Alerus Center is scheduled to start at 2:00 PM ET.

• Who: Murray State vs. North Dakota
• Date: Saturday, October 3, 2026
• Time: 2:00 PM ET/11:00AM PT
• Venue: Alerus Center

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Conclusion

We predict North Dakota, with a 98.0% win probability, will likely beat Murray State in Saturday's college football matchup.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary College Football prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.