Utah Tech vs. UC Davis prediction favors UC Davis to win in college football Week 10 [2026]

Using innovative machine learning and data, we have re-simulated the outcome of Utah Tech vs. UC Davis, forming part of our college football predictions coverage.

Our independent predictive model gives UC Davis a 90.1% chance of beating Utah Tech. Our predicted final score has UC Davis winning 38-20. According to our model, UC Davis (-16.5) has a 54.7% chance of covering the spread, while the over/under total of 58.5 points has a 51.1% 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: Utah Tech +16.5 (-114) / UC Davis -16.5 (-105)
• Moneyline: Utah Tech +614, UC Davis -700
• Total: Over/Under 58.5 (-109/-110)

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: UC Davis -16.5 @ -105 via bet365
• Moneyline: UC Davis @ 87¢ via Novig
• Total: Under 58.5 @ -110 via DraftKings

According to our best college football bets, the top play to make on this game is UC Davis -16.5 at the spread.

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 UC Davis and Utah Tech at UC Davis Health Stadium is scheduled to begin at 7:00 PM ET.

• Who: Utah Tech vs. UC Davis
• Date: Saturday, November 7, 2026
• Time: 7:00 PM ET/4:00 PM PT
• Venue: UC Davis Health Stadium

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Conclusion

We predict UC Davis, with a 90.1% win probability, will likely beat Utah Tech 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.