Purdue vs. UCLA prediction favors UCLA to win in college football Week 3 [2026]

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

Our leading predictive model gives UCLA an 87.2% chance of defeating Purdue. Our predicted final score has UCLA winning 33-19. According to our model, Purdue (+14.5) has a 51.5% chance of covering the spread, while the over/under total of 52.5 points has a 50.7% 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: Purdue +14.5 (-115) / UCLA -14.5 (+100)
• Moneyline: Purdue +500, UCLA -650
• Total: Over/Under 52.5 (-105/-107)

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 available 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 -14.5 @ +100 via FanDuel
• Moneyline: UCLA @ -650 via bet365
• Total: Over 52.5 @ -105 via FanDuel

According to our college football best bets, the top play to make on this game is UCLA 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 action between UCLA and Purdue at Rose Bowl is scheduled to commence at 11:00 PM ET.

• Who: Purdue vs. UCLA
• Date: Saturday, September 19, 2026
• Time: 11:00 PM ET/8:00PM PT
• Venue: Rose Bowl

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Conclusion

We predict UCLA, with an 87.2% win probability, will likely beat Purdue 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.