Ohio vs. Sacramento State prediction favors Ohio to win in college football Week 7 [2026]

Using powerful machine learning and statistical analysis, we have re-simulated the result of Ohio vs. Sacramento State, forming part of our college football predictions coverage.

Our famous predictive model gives Ohio an 88.1% chance of defeating Sacramento State. Our predicted final score has Ohio winning 32-15. According to our model, Ohio (-13.5) has a 57.3% chance of covering the spread, while the over/under total of 49.5 points has a 55.6% chance of staying under.

Latest betting odds

We have sourced the best college football odds in America for this game, which are listed here:

• Spread: Ohio -13.5 (-144) / Sacramento State +13.5 (+135)
• Moneyline: Ohio -641, Sacramento State +614
• Total: Over/Under 49.5 (+135/-147)

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: Sacramento State +13.5 @ 43¢ via Novig
• Moneyline: Ohio @ 86¢ via Novig
• Total: Over 49.5 @ 43¢ via Novig

According to our college football best bets, the top play to make on this game is Over 49.5 total points.

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 matchup between Sacramento State and Ohio at Hornet Stadium is scheduled to start at 10:00 PM ET.

• Who: Ohio vs. Sacramento State
• Date: Saturday, October 17, 2026
• Time: 10:00 PM ET/7:00PM PT
• Venue: Hornet Stadium

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Conclusion

We predict Ohio, with an 88.1% win probability, will likely beat Sacramento 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.