Iowa vs. Michigan prediction: Why Michigan is favored to win in college football Week 4 [2026]

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

Our famous predictive model gives Michigan a 68.9% chance of beating Iowa. Our predicted final score has Michigan winning 23-17. According to our model, Michigan (-5.5) has a 52.9% chance of covering the spread, while the over/under total of 38.5 points has a 57.1% 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: Iowa +5.5 (-110) / Michigan -5.5 (-107)
• Moneyline: Iowa +180, Michigan -210
• Total: Over/Under 38.5 (-108/-110)

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:

• Spread: Michigan -5.5 @ -107 via Caesars
• Moneyline: Michigan @ -210 via FanDuel
• Total: Over 38.5 @ -108 via DraftKings

According to our college football best bets, the top play to make on this game is Over 38.5 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 Michigan and Iowa at Michigan Stadium is scheduled to begin at 3:30 PM ET.

• Who: Iowa vs. Michigan
• Date: Saturday, September 26, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Michigan Stadium

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Conclusion

We predict Michigan, with a 68.9% win probability, will likely beat Iowa 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.