Iowa vs. Minnesota prediction: Why Iowa is favored to win in college football Week 8 [2026]

Using trusted machine learning and data, we have re-simulated the outcome of Iowa vs. Minnesota, forming part of our college football predictions coverage.

Our famous predictive model currently gives Iowa a 73.5% chance of defeating Minnesota. Our predicted final score has Iowa winning 25-17. According to our model, Iowa (-4.5) has a 60.8% chance of covering the spread, while the over/under total of 42.5 points has a 50.4% chance of staying under.

Latest betting odds

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

• Spread: Iowa -4.5 (-156) / Minnesota +4.5 (+147)
• Moneyline: Iowa -270, Minnesota +264
• Total: Over/Under 42.5 (+122/-133)

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: Iowa -4.5 @ 61¢ via Novig
• Moneyline: Iowa @ 73¢ via Novig
• Total: Over 42.5 @ 45¢ via Novig

According to our best college football bets, the top play to make on this game is Over 42.5 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 action between Minnesota and Iowa at Huntington Bank Stadium is scheduled to commence at 3:30 PM ET.

• Who: Iowa vs. Minnesota
• Date: Saturday, October 24, 2026
• Time: 3:30 PM ET/12:30 PM PT
• Venue: Huntington Bank Stadium

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Conclusion

We predict Iowa, with a 73.5% 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.