Ohio vs. Akron prediction: Why Ohio is favored to win Week 10 MACtion clash

Using powerful machine learning and data, we have re-simulated the outcome of Ohio vs. Akron, forming part of our college football predictions coverage.

Our famous predictive model gives Ohio an 83.2% chance of beating Akron. Our predicted final score has Ohio winning 32-19. According to our model, Ohio (-11.5) has a 53.2% chance of covering the spread, while the over/under total of 50.5 points has a 53.6% 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: Ohio -11.5 (-133) / Akron +11.5 (+122)
• Moneyline: Ohio -525, Akron +506
• Total: Over/Under 50.5 (-114/-106)

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 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: Akron +11.5 @ 45¢ via Novig
• Moneyline: Akron @ 16¢ via Novig
• Total: Over 50.5 @ -114 via FanDuel

According to our college football best bets, the top play to make on this game is Akron +11.5 at the spread.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Tuesday's college football game between Akron and Ohio at InfoCision Stadium-Summa Field is scheduled to commence at 7:00 PM ET.

• Who: Ohio vs. Akron
• Date: Tuesday, November 3, 2026
• Time: 7:00 PM ET/4:00 PM PT
• Venue: InfoCision Stadium-Summa Field

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Conclusion

We predict Ohio, with an 83.2% win probability, will likely beat Akron in Tuesday'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.