Valparaiso vs. Dayton prediction favors Dayton to win in college football Week 10 [2026]

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

Our famous predictive model gives Dayton a 78.8% chance of defeating Valparaiso. Our predicted final score has Dayton winning 29-19. According to our model, Dayton (-8.5) has a 51.6% chance of covering the spread, while the 47.5-point over/under has a 54.2% 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: Valparaiso +8.5 (-113) / Dayton -8.5 (-110)
• Moneyline: Valparaiso +325, Dayton -326
• Total: Over/Under 47.5 (-104/-109)

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: Dayton -8.5 @ -110 via DraftKings
• Moneyline: Dayton @ 76¢ via Novig
• Total: Over 47.5 @ -104 via DraftKings

According to our college football best bets, the top play to make on this game is Over 47.5 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 game between Dayton and Valparaiso at Welcome Stadium is scheduled to commence at 12:00 PM ET.

• Who: Valparaiso vs. Dayton
• Date: Saturday, November 7, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Welcome Stadium

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Conclusion

We predict Dayton, with a 78.8% win probability, will likely beat Valparaiso 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.