Ohio vs. Kent State prediction favors Ohio to win Week 5 MACtion clash

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

Our famous predictive model gives Ohio a 62.1% chance of beating Kent State. Our predicted final score has Ohio winning 27-23. According to our model, Ohio (-3.5) has a 50.9% chance of covering the spread, while the 50.5-point over/under has a 51.6% 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 -3.5 (-104) / Kent State +3.5 (-110)
• Moneyline: Ohio -170, Kent State +145
• Total: Over/Under 50.5 (-108/-105)

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: Ohio -3.5 @ -104 via Caesars
• Moneyline: Ohio @ -170 via bet365
• Total: Over 50.5 @ -108 via Caesars

According to our college football best bets, the top play to make on this game is Ohio -3.5 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 Kent State and Ohio at Dix Stadium is scheduled to start at 3:30 PM ET.

• Who: Ohio vs. Kent State
• Date: Saturday, October 3, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Dix Stadium

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Make the most of Dimers' Ohio vs. Kent State predictions by exploring the Bet365 Sportsbook offer below:

Conclusion

We predict Ohio, with a 62.1% win probability, will likely beat Kent State 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.