San Diego State vs. UCLA prediction favors UCLA to win in college football Week 2 [2026]

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

Our famous predictive model currently gives UCLA an 81.7% chance of beating San Diego State. Our predicted final score has UCLA winning 33-21. According to our model, UCLA (-12) has a 50.4% chance of covering the spread, while the 55.5-point over/under has a 53.6% 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: San Diego State +12 (-110) / UCLA -12 (-109)
• Moneyline: San Diego State +400, UCLA -455
• Total: Over/Under 55.5 (-105/-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 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 -12 @ -109 via Caesars
• Moneyline: UCLA @ -455 via DraftKings
• Total: Under 55.5 @ -115 via bet365

According to our best college football bets, the top play to make on this game is Under 55.5 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 game between UCLA and San Diego State at Rose Bowl is scheduled to start at 7:15 PM ET.

• Who: San Diego State vs. UCLA
• Date: Saturday, September 12, 2026
• Time: 7:15 PM ET/4:15PM PT
• Venue: Rose Bowl

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Conclusion

We predict UCLA, with an 81.7% win probability, will likely beat San Diego State 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.