Duke vs. Georgia Tech prediction favors Duke to win in college football Week 6 [2026]

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

Our independent predictive model gives Duke a 69.1% chance of defeating Georgia Tech. Our predicted final score has Duke winning 26-20. According to our model, Georgia Tech (+6.5) has a 50.5% chance of covering the spread, while the over/under total of 45 points has a 56.6% 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: Duke -6.5 (-104) / Georgia Tech +6.5 (-111)
• Moneyline: Duke -220, Georgia Tech +196
• Total: Over/Under 45 (-113/-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: Duke -6.5 @ -104 via FanDuel
• Moneyline: Duke @ -220 via FanDuel
• Total: Over 45 @ -113 via BetRivers

According to our best college football bets, the top play to make on this game is Over 45 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 Georgia Tech and Duke at Bobby Dodd Stadium at Hyundai Field is scheduled to commence at 3:30 PM ET.

• Who: Duke vs. Georgia Tech
• Date: Saturday, October 10, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Bobby Dodd Stadium at Hyundai Field

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Conclusion

We predict Duke, with a 69.1% 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.