Georgia State vs. UCF prediction favors UCF to win in college football Week 3 [2026]

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

Our independent predictive model currently gives UCF a 90.3% chance of beating Georgia State. Our predicted final score has UCF winning 33-16. According to our model, Georgia State (+17.5) has a 52.0% chance of covering the spread, while the 50.5-point over/under has a 50.6% 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: Georgia State +17.5 (-113) / UCF -17.5 (-105)
• Moneyline: Georgia State +720, UCF -1000
• Total: Over/Under 50.5 (-105/-115)

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: Georgia State +17.5 @ -113 via Caesars
• Moneyline: UCF @ -1000 via bet365
• Total: Over 50.5 @ -105 via FanDuel

According to our college football best bets, the top play to make on this game is Over 50.5 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 matchup between UCF and Georgia State at Acrisure Bounce House is scheduled to start at 7:00 PM ET.

• Who: Georgia State vs. UCF
• Date: Saturday, September 19, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Acrisure Bounce House

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Conclusion

We predict UCF, with a 90.3% win probability, will likely beat Georgia State 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.