Georgia Tech vs. Pittsburgh prediction: Why Pittsburgh is favored to win in college football Week 9 [2026]

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

Our independent predictive model gives Pittsburgh a 76.7% chance of beating Georgia Tech. Our predicted final score has Pittsburgh winning 31-22. According to our model, Pittsburgh (-7.5) has a 53.5% chance of covering the spread, while the over/under total of 51.5 points has a 56.9% 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: Georgia Tech +7.5 (-107) / Pittsburgh -7.5 (-110)
• Moneyline: Georgia Tech +280, Pittsburgh -292
• Total: Over/Under 51.5 (-144/+133)

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: Pittsburgh -7.5 @ -110 via FanDuel
• Moneyline: Pittsburgh @ 75¢ via Novig
• Total: Under 51.5 @ 43¢ via Novig

According to our college football best bets, the top play to make on this game is Pittsburgh to win.

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 matchup between Pittsburgh and Georgia Tech at Acrisure Stadium is scheduled to start at 7:30 PM ET.

• Who: Georgia Tech vs. Pittsburgh
• Date: Saturday, October 31, 2026
• Time: 7:30 PM ET/4:30 PM PT
• Venue: Acrisure Stadium

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Conclusion

We predict Pittsburgh, with a 76.7% win probability, will likely beat Georgia Tech 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.