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

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

Our famous predictive model gives Illinois a 79.5% chance of defeating Purdue. Our predicted final score has Illinois winning 36-25. According to our model, Illinois (-9.5) has a 53.9% chance of covering the spread, while the over/under total of 62.5 points has a 52.8% 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: Purdue +9.5 (-104) / Illinois -9.5 (-110)
• Moneyline: Purdue +348, Illinois -360
• Total: Over/Under 62.5 (+100/-115)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Illinois -9.5 @ -110 via bet365
• Moneyline: Illinois @ -360 via Caesars
• Total: Under 62.5 @ -115 via bet365

According to our best college football bets, the top play to make on this game is Illinois -9.5 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 game between Illinois and Purdue at Gies Memorial Stadium is scheduled to begin at 4:15 PM ET.

• Who: Purdue vs. Illinois
• Date: Saturday, October 3, 2026
• Time: 4:15 PM ET/1:15PM PT
• Venue: Gies Memorial Stadium

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Conclusion

We predict Illinois, with a 79.5% 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.