Illinois vs. UCLA prediction favors UCLA to win in college football Week 11 [2026]

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

Our leading predictive model gives UCLA a 79.5% chance of beating Illinois. Our predicted final score has UCLA winning 30-19. According to our model, UCLA (-10.5) has a 51.2% chance of covering the spread, while the over/under total of 47.5 points has a 55.2% 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: Illinois +10.5 (-108) / UCLA -10.5 (+106)
• Moneyline: Illinois +376, UCLA -375
• Total: Over/Under 47.5 (-113/-109)

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: UCLA -10.5 @ 48¢ via Novig
• Moneyline: UCLA @ -375 via BetRivers
• Total: Over 47.5 @ -113 via BetRivers

According to our college football best bets, the top play to make on this game is UCLA -10.5 at the spread.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Friday's college football action between UCLA and Illinois at Rose Bowl is scheduled to begin at 9:00 PM ET.

• Who: Illinois vs. UCLA
• Date: Friday, November 13, 2026
• Time: 9:00 PM ET/6:00 PM PT
• Venue: Rose Bowl

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Conclusion

We predict UCLA, with a 79.5% win probability, will likely beat Illinois in Friday'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.