UCLA vs. Oregon prediction favors Oregon to win in college football Week 6 [2026]

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

Our independent predictive model gives Oregon an 80.8% chance of beating UCLA. Our predicted final score has Oregon winning 34-23. According to our model, Oregon (-10.5) has a 51.8% chance of covering the spread, while the 58.5-point over/under has a 51.3% 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: UCLA +10.5 (-115) / Oregon -10.5 (-105)
• Moneyline: UCLA +330, Oregon -375
• Total: Over/Under 58.5 (-103/-115)

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: Oregon -10.5 @ -105 via FanDuel
• Moneyline: Oregon @ -375 via FanDuel
• Total: Over 58.5 @ -103 via bet365

According to our college football best bets, the top play to make on this game is Oregon 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 Oregon and UCLA at Autzen Stadium is scheduled to commence at 3:30 PM ET.

• Who: UCLA vs. Oregon
• Date: Saturday, October 10, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Autzen Stadium

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Conclusion

We predict Oregon, with an 80.8% win probability, will likely beat UCLA 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.