San Diego vs. Dayton prediction favors Dayton to win in college football Week 8 [2026]

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

Our leading predictive model gives Dayton a 67.2% chance of beating San Diego. Our predicted final score has Dayton winning 30-24. According to our model, San Diego (+6.5) has a 51.7% chance of covering the spread, while the over/under total of 56.5 points has a 52.6% 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: San Diego +6.5 (-115) / Dayton -6.5 (+104)
• Moneyline: San Diego +190, Dayton -194
• Total: Over/Under 56.5 (+106/-127)

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: Dayton -6.5 @ 49¢ via Novig
• Moneyline: Dayton @ 66¢ via Novig
• Total: Over 56.5 @ 48¢ via Novig

According to our college football best 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 Dayton and San Diego at Welcome Stadium is scheduled to begin at 12:00 PM ET.

• Who: San Diego vs. Dayton
• Date: Saturday, October 24, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Welcome Stadium

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Conclusion

We predict Dayton, with a 67.2% win probability, will likely beat San Diego 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.