Michigan vs. Minnesota prediction: Why Michigan is favored to win in college football Week 5 [2026]

Using innovative machine learning and data, we have re-simulated the result of Michigan vs. Minnesota, forming part of our college football predictions coverage.

Our famous predictive model gives Michigan a 69.2% chance of defeating Minnesota. Our predicted final score has Michigan winning 25-18. According to our model, Michigan (-6.5) has a 50.3% chance of covering the spread, while the over/under total of 41.5 points has a 56.7% chance of going over.

Latest betting odds

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

• Spread: Michigan -6.5 (-105) / Minnesota +6.5 (-110)
• Moneyline: Michigan -225, Minnesota +202
• Total: Over/Under 41.5 (-105/-108)

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

• Spread: Michigan -6.5 @ -105 via bet365
• Moneyline: Michigan @ -225 via bet365
• Total: Over 41.5 @ -105 via bet365

According to our best college football bets, the top play to make on this game is Over 41.5 total points.

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 game between Minnesota and Michigan at Huntington Bank Stadium is scheduled to start at 12:00 PM ET.

• Who: Michigan vs. Minnesota
• Date: Saturday, October 3, 2026
• Time: 12:00 PM ET/9:00AM PT
• Venue: Huntington Bank Stadium

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Conclusion

We predict Michigan, with a 69.2% win probability, will likely beat Minnesota 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.