Purdue vs. Iowa prediction: Why Iowa is favored to win in college football Week 11 [2026]

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

Our famous predictive model gives Iowa a 91.9% chance of defeating Purdue. Our predicted final score has Iowa winning 33-14. According to our model, Iowa (-17.5) has a 54.9% chance of covering the spread, while the over/under total of 47.5 points has a 51.6% chance of going over.

Latest betting odds

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

• Spread: Purdue +17.5 (-102) / Iowa -17.5 (+100)
• Moneyline: Purdue +809, Iowa -852
• Total: Over/Under 47.5 (-106/+104)

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: Iowa -17.5 @ +100 via FanDuel
• Moneyline: Iowa @ 89¢ via Novig
• Total: Over 47.5 @ -106 via Caesars

According to our college football best bets, the top play to make on this game is Iowa -17.5 at the spread.

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 matchup between Iowa and Purdue at Kinnick Stadium is scheduled to commence at 7:30 PM ET.

• Who: Purdue vs. Iowa
• Date: Saturday, November 14, 2026
• Time: 7:30 PM ET/4:30 PM PT
• Venue: Kinnick Stadium

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Conclusion

We predict Iowa, with a 91.9% win probability, will likely beat Purdue 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.