Illinois vs. Michigan State prediction: Why Illinois is favored to win in college football Week 6 [2026]

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

Our independent predictive model gives Illinois a 58.5% chance of defeating Michigan State. Our predicted final score has Illinois winning 26-22. According to our model, Illinois (-2.5) has a 52.5% chance of covering the spread, while the over/under total of 48.5 points has a 50.4% 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: Illinois -2.5 (-113) / Michigan State +2.5 (+100)
• Moneyline: Illinois -136, Michigan State +120
• Total: Over/Under 48.5 (-105/-108)

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: Illinois -2.5 @ -113 via Caesars
• Moneyline: Illinois @ -136 via bet365
• Total: Over 48.5 @ -105 via Caesars

According to our college football best bets, the top play to make on this game is Illinois to win.

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 Michigan State and Illinois at Spartan Stadium is scheduled to commence at 3:30 PM ET.

• Who: Illinois vs. Michigan State
• Date: Saturday, October 10, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Spartan Stadium

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Conclusion

We predict Illinois, with a 58.5% win probability, will likely beat Michigan State 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.