Wisconsin vs. Iowa prediction: Why Iowa is favored to win in college football Week 9 [2026]

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

Our independent predictive model gives Iowa a 58.3% chance of beating Wisconsin. Our predicted final score has Iowa winning 21-17. According to our model, Wisconsin (+4.5) has a 56.8% chance of covering the spread, while the over/under total of 39.5 points has a 53.0% 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: Wisconsin +4.5 (-150) / Iowa -4.5 (+144)
• Moneyline: Wisconsin +127, Iowa -130
• Total: Over/Under 39.5 (+150/-156)

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 @ 41¢ via Novig
• Moneyline: Iowa @ -130 via FanDuel
• Total: Over 39.5 @ 40¢ via Novig

According to our college football best bets, the top play to make on this game is Over 39.5 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 Iowa and Wisconsin at Kinnick Stadium is scheduled to start at 12:00 PM ET.

• Who: Wisconsin vs. Iowa
• Date: Saturday, October 31, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Kinnick Stadium

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Conclusion

We predict Iowa, with a 58.3% win probability, will likely beat Wisconsin 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.