Indiana vs. Michigan prediction: Why Indiana is favored to win in college football Week 8 [2026]

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

Our leading predictive model currently gives Indiana a 70.6% chance of defeating Michigan. Our predicted final score has Indiana winning 25-18. According to our model, Michigan (+9.5) has a 56.2% chance of covering the spread, while the over/under total of 44.5 points has a 51.6% 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: Indiana -9.5 (+117) / Michigan +9.5 (-122)
• Moneyline: Indiana -270, Michigan +257
• Total: Over/Under 44.5 (+117/-122)

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 +9.5 @ 55¢ via Novig
• Moneyline: Michigan @ 28¢ via Novig
• Total: Over 44.5 @ 46¢ via Novig

According to our college football best bets, the top play to make on this game is Over 44.5 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 action between Michigan and Indiana at Michigan Stadium is scheduled to commence at 12:00 PM ET.

• Who: Indiana vs. Michigan
• Date: Saturday, October 24, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Michigan Stadium

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Conclusion

We predict Indiana, with a 70.6% win probability, will likely beat Michigan 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.