Nevada vs. UCLA prediction favors UCLA to win in college football Week 9 [2026]

Using innovative machine learning and data analysis, we have re-simulated the outcome of Nevada vs. UCLA, forming part of our college football predictions coverage.

Our famous predictive model currently gives UCLA a 94.7% chance of defeating Nevada. Our predicted final score has UCLA winning 33-11. According to our model, Nevada (+23.5) has a 52.4% chance of covering the spread, while the 48.5-point over/under has a 62.2% 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: Nevada +23.5 (-113) / UCLA -23.5 (+111)
• Moneyline: Nevada +1329, UCLA -1438
• Total: Over/Under 48.5 (+190/-194)

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: UCLA -23.5 @ 48¢ via Novig
• Moneyline: UCLA @ 93¢ via Novig
• Total: Over 48.5 @ 35¢ via Novig

According to our college football best bets, the top play to make on this game is Over 48.5 total points.

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 UCLA and Nevada at Rose Bowl is scheduled to commence at 4:15 PM ET.

• Who: Nevada vs. UCLA
• Date: Saturday, October 31, 2026
• Time: 4:15 PM ET/1:15 PM PT
• Venue: Rose Bowl

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Conclusion

We predict UCLA, with a 94.7% win probability, will likely beat Nevada 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.