Syracuse vs. Pittsburgh prediction: Why Pittsburgh is favored to win in college football Week 3 [2026]

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

Our independent predictive model currently gives Pittsburgh a 78.0% chance of beating Syracuse. Our predicted final score has Pittsburgh winning 31-20. According to our model, Syracuse (+10.5) has a 51.3% chance of covering the spread, while the over/under total of 51 points has a 53.0% 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 +10.5 (-108) / Pittsburgh -10.5 (-108)
• Moneyline: Syracuse +330, Pittsburgh -420
• Total: Over/Under 51 (-110/-110)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Syracuse +10.5 @ -108 via DraftKings
• Moneyline: Syracuse @ +330 via BetRivers
• Total: Over 51 @ -110 via Caesars

According to our college football best bets, the top play to make on this game is Over 51 total points.

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

Game info & kickoff details

Thursday's college football game between Pittsburgh and Syracuse at Acrisure Stadium is scheduled to commence at 7:30 PM ET.

• Who: Syracuse vs. Pittsburgh
• Date: Thursday, September 17, 2026
• Time: 7:30 PM ET/4:30PM PT
• Venue: Acrisure Stadium

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Conclusion

We predict Pittsburgh, with a 78.0% win probability, will likely beat Syracuse in Thursday'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.