Dayton vs. Stetson prediction favors Dayton to win in college football Week 9 [2026]

Using trusted machine learning and data analysis, we have re-simulated the outcome of Dayton vs. Stetson, forming part of our college football predictions coverage.

Our famous predictive model currently gives Dayton a 91.2% chance of defeating Stetson. Our predicted final score has Dayton winning 37-19. According to our model, Stetson (+18.5) has a 51.7% chance of covering the spread, while the over/under total of 57.5 points has a 50.3% chance of staying under.

Latest betting odds

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

• Spread: Dayton -18.5 (-113) / Stetson +18.5 (-110)
• Moneyline: Dayton -809, Stetson +770
• Total: Over/Under 57.5 (+106/-125)

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 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: Stetson +18.5 @ -110 via DraftKings
• Moneyline: Dayton @ 89¢ via Novig
• Total: Over 57.5 @ 48¢ via Novig

According to our best college football bets, the top play to make on this game is Dayton 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 matchup between Stetson and Dayton at Spec Martin Memorial Stadium is scheduled to begin at 1:00 PM ET.

• Who: Dayton vs. Stetson
• Date: Saturday, October 31, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Spec Martin Memorial Stadium

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Conclusion

We predict Dayton, with a 91.2% win probability, will likely beat Stetson 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.