Clemson vs. Syracuse prediction favors Clemson to win in college football Week 10 [2026]

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

Our famous predictive model currently gives Clemson a 59.1% chance of beating Syracuse. Our predicted final score has Clemson winning 27-23. According to our model, Syracuse (+3.5) has a 53.3% chance of covering the spread, while the over/under total of 48.5 points has a 56.1% 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: Clemson -3.5 (+138) / Syracuse +3.5 (-144)
• Moneyline: Clemson -122, Syracuse +120
• Total: Over/Under 48.5 (-120/+117)

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: Clemson -3.5 @ 42¢ via Novig
• Moneyline: Clemson @ 55¢ via Novig
• Total: Over 48.5 @ 55¢ via Novig

According to our best college football bets, the top play to make on this game is Clemson -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 Clemson at JMA Wireless Dome is scheduled to commence at 12:00 PM ET.

• Who: Clemson vs. Syracuse
• Date: Saturday, November 7, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: JMA Wireless Dome

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Conclusion

We predict Clemson, with a 59.1% win probability, will likely beat Syracuse 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.