Syracuse vs. UNC prediction favors North Carolina to win in college football Week 8 [2026]

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

Our leading predictive model gives North Carolina a 78.6% chance of defeating Syracuse. Our predicted final score has North Carolina winning 29-19. According to our model, North Carolina (-9.5) has a 52.2% chance of covering the spread, while the over/under total of 47 points has a 56.7% 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: Syracuse +9.5 (-102) / UNC -9.5 (-102)
• Moneyline: Syracuse +292, UNC -300
• Total: Over/Under 47 (-112/-112)

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: North Carolina -9.5 @ 50¢ via Novig
• Moneyline: North Carolina @ 75¢ via Novig
• Total: Over 47 @ -112 via BetRivers

According to our college football best bets, the top play to make on this game is Over 47 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 action between UNC and Syracuse at Kenan Stadium is scheduled to commence at 7:30 PM ET.

• Who: Syracuse vs. North Carolina
• Date: Saturday, October 24, 2026
• Time: 7:30 PM ET/4:30 PM PT
• Venue: Kenan Stadium

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Conclusion

We predict North Carolina, with a 78.6% 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.