UC Davis vs. Idaho prediction: Why Idaho is favored to win in college football Week 11 [2026]

Using powerful machine learning and data, we have re-simulated the result of UC Davis vs. Idaho, forming part of our college football predictions coverage.

Our independent predictive model currently gives Idaho a 75.4% chance of beating UC Davis. Our predicted final score has Idaho winning 35-26. According to our model, Idaho (-7.5) has a 52.1% chance of covering the spread, while the over/under total of 63.5 points has a 54.0% chance of staying under.

Latest betting odds

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

• Spread: UC Davis +7.5 (-110) / Idaho -7.5 (-110)
• Moneyline: UC Davis +270, Idaho -277
• Total: Over/Under 63.5 (-109/-112)

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 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: Idaho -7.5 @ -110 via BetRivers
• Moneyline: Idaho @ 74¢ via Novig
• Total: Under 63.5 @ -112 via BetRivers

According to our best college football bets, the top play to make on this game is Idaho 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 Idaho and UC Davis at P1FCU Kibbie Dome is scheduled to begin at 4:00 PM ET.

• Who: UC Davis vs. Idaho
• Date: Saturday, November 14, 2026
• Time: 4:00 PM ET/1:00 PM PT
• Venue: P1FCU Kibbie Dome

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Conclusion

We predict Idaho, with a 75.4% win probability, will likely beat UC Davis 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.