Oklahoma vs. Michigan prediction: Why Oklahoma is favored to win in college football Week 2 [2026]

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

Our independent predictive model gives Oklahoma a 61.3% chance of defeating Michigan. Our predicted final score has Oklahoma winning 24-20. According to our model, Michigan (+5.5) has a 55.5% chance of covering the spread, while the over/under total of 43.5 points has a 53.8% 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: Oklahoma -5.5 (-112) / Michigan +5.5 (-108)
• Moneyline: Oklahoma -200, Michigan +176
• Total: Over/Under 43.5 (-108/-109)

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: Michigan +5.5 @ -108 via Caesars
• Moneyline: Michigan @ +176 via Caesars
• Total: Over 43.5 @ -108 via DraftKings

According to our college football best bets, the top play to make on this game is Michigan +5.5 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 action between Michigan and Oklahoma at Michigan Stadium is scheduled to begin at 12:00 PM ET.

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

College football Week 2 promos

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Conclusion

We predict Oklahoma, with a 61.3% 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.