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

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

Our leading predictive model gives Michigan an 86.6% chance of defeating Rutgers. Our predicted final score has Michigan winning 32-16. According to our model, Michigan (-13.5) has a 55.5% chance of covering the spread, while the 47.5-point over/under has a 52.0% 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: Michigan -13.5 (-138) / Rutgers +13.5 (+130)
• Moneyline: Michigan -641, Rutgers +614
• Total: Over/Under 47.5 (+106/-115)

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: Rutgers +13.5 @ 44¢ via Novig
• Moneyline: Michigan @ 86¢ via Novig
• Total: Over 47.5 @ 48¢ via Novig

According to our college football best bets, the top play to make on this game is Over 47.5 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 Rutgers and Michigan at SHI Stadium is scheduled to start at 12:30 PM ET.

• Who: Michigan vs. Rutgers
• Date: Saturday, October 31, 2026
• Time: 12:30 PM ET/9:30 AM PT
• Venue: SHI Stadium

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Conclusion

We predict Michigan, with an 86.6% win probability, will likely beat Rutgers 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.