San Diego vs. Drake prediction favors Drake to win in college football Week 10 [2026]

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

Our independent predictive model gives Drake a 50.7% chance of beating San Diego. Our predicted final score has Drake winning 32-30. According to our model, Drake (-1.5) has a 50.3% chance of covering the spread, while the 60.5-point over/under has a 56.3% chance of going over.

Latest betting odds

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

• Spread: San Diego +1.5 (-118) / Drake -1.5 (-105)
• Moneyline: San Diego -104, Drake +102
• Total: Over/Under 60.5 (-170/+133)

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: Drake -1.5 @ -105 via bet365
• Moneyline: Drake @ 50¢ via Novig
• Total: Under 60.5 @ 43¢ via Novig

According to our college football best bets, the top play to make on this game is Drake 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 action between Drake and San Diego at Drake Stadium is scheduled to start at 1:00 PM ET.

• Who: San Diego vs. Drake
• Date: Saturday, November 7, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Drake Stadium

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Conclusion

We predict Drake, with a 50.7% 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.