Davidson vs. San Diego prediction favors San Diego to win in college football Week 5 [2026]

Using innovative machine learning and statistical analysis, we have re-simulated the outcome of Davidson vs. San Diego, forming part of our college football predictions coverage.

Our leading predictive model currently gives San Diego an 87.0% chance of defeating Davidson. Our predicted final score has San Diego winning 39-23. According to our model, San Diego (-15.5) has a 51.1% chance of covering the spread, while the 63.5-point over/under has a 51.7% 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: Davidson +15.5 (-120) / San Diego -15.5 (-110)
• Moneyline: Davidson +475, San Diego -690
• Total: Over/Under 63.5 (-120/-110)

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: San Diego -15.5 @ -110 via bet365
• Moneyline: San Diego @ -690 via DraftKings
• Total: Under 63.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is San Diego 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 game between San Diego and Davidson at Torero Stadium is scheduled to begin at 4:00 PM ET.

• Who: Davidson vs. San Diego
• Date: Saturday, October 3, 2026
• Time: 4:00 PM ET/1:00PM PT
• Venue: Torero Stadium

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Conclusion

We predict San Diego, with an 87.0% win probability, will likely beat Davidson 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.