Syracuse vs. Virginia prediction favors Virginia to win in college football Week 6 [2026]

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

Our leading predictive model currently gives Virginia an 85.0% chance of defeating Syracuse. Our predicted final score has Virginia winning 32-17. According to our model, Virginia (-13.5) has a 53.9% chance of covering the spread, while the 49-point over/under has a 53.8% 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: Syracuse +13.5 (+100) / Virginia -13.5 (-115)
• Moneyline: Syracuse +475, Virginia -550
• Total: Over/Under 49 (-107/-113)

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: Virginia -13.5 @ -115 via DraftKings
• Moneyline: Virginia @ -550 via DraftKings
• Total: Over 49 @ -107 via Caesars

According to our best college football bets, the top play to make on this game is Over 49 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 Virginia and Syracuse at Scott Stadium is scheduled to start at 7:30 PM ET.

• Who: Syracuse vs. Virginia
• Date: Saturday, October 10, 2026
• Time: 7:30 PM ET/4:30PM PT
• Venue: Scott Stadium

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Conclusion

We predict Virginia, with an 85.0% 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.