California vs. Syracuse prediction favors Syracuse to win in college football Week 2 [2026]

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

Our independent predictive model currently gives Syracuse a 62.6% chance of beating California. Our predicted final score has Syracuse winning 30-26. According to our model, California (+3.5) has a 50.5% chance of covering the spread, while the 56.5-point over/under has a 50.8% chance of going over.

Latest betting odds

We have researched the best college football odds in America for this game, which are listed here:

• Spread: California +3.5 (-105) / Syracuse -3.5 (-108)
• Moneyline: California +160, Syracuse -178
• Total: Over/Under 56.5 (-114/-104)

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: California +3.5 @ -105 via DraftKings
• Moneyline: California @ +160 via DraftKings
• Total: Under 56.5 @ -104 via Caesars

According to our college football best bets, the top play to make on this game is California +3.5 at the spread.

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

Game info & kickoff details

Saturday's college football action between Syracuse and California at JMA Wireless Dome is scheduled to start at 3:30 PM ET.

• Who: California vs. Syracuse
• Date: Saturday, September 12, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: JMA Wireless Dome

College football Week 2 promos

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Conclusion

We predict Syracuse, with a 62.6% win probability, will likely beat California 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.