Akron vs. Miami Ohio prediction: Why Miami Ohio is favored to win Week 7 MACtion clash

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

Our independent predictive model currently gives Miami Ohio a 78.3% chance of defeating Akron. Our predicted final score has Miami Ohio winning 29-19. According to our model, Miami Ohio (-9.5) has a 51.3% chance of covering the spread, while the over/under total of 46.5 points has a 55.2% 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: Akron +9.5 (-102) / Miami Ohio -9.5 (-102)
• Moneyline: Akron +317, Miami Ohio -326
• Total: Over/Under 46.5 (-117/+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: Miami Ohio -9.5 @ 50¢ via Novig
• Moneyline: Miami Ohio @ 76¢ via Novig
• Total: Over 46.5 @ 54¢ via Novig

According to our college football best bets, the top play to make on this game is Miami Ohio 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 action between Miami Ohio and Akron at Fred C. Yager Stadium is scheduled to start at 3:30 PM ET.

• Who: Akron vs. Miami Ohio
• Date: Saturday, October 17, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Fred C. Yager Stadium

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Conclusion

We predict Miami Ohio, with a 78.3% win probability, will likely beat Akron 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.