Central Michigan vs. Ohio prediction favors Ohio to win Week 6 MACtion clash

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

Our independent predictive model gives Ohio a 58.1% chance of defeating Central Michigan. Our predicted final score has Ohio winning 25-21. According to our model, Ohio (-2.5) has a 52.9% chance of covering the spread, while the over/under total of 45.5 points has a 53.5% 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: Central Michigan +2.5 (-110) / Ohio -2.5 (-108)
• Moneyline: Central Michigan +116, Ohio -128
• Total: Over/Under 45.5 (-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 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: Ohio -2.5 @ -108 via DraftKings
• Moneyline: Ohio @ -128 via FanDuel
• Total: Over 45.5 @ -108 via FanDuel

According to our college football best bets, the top play to make on this game is 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 Ohio and Central Michigan at Frank Solich Field at Peden Stadium is scheduled to begin at 3:30 PM ET.

• Who: Central Michigan vs. Ohio
• Date: Saturday, October 10, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Frank Solich Field at Peden Stadium

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Conclusion

We predict Ohio, with a 58.1% win probability, will likely beat Central 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.