Oklahoma vs. Georgia prediction favors Georgia to win in college football Week 4 [2026]

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

Our leading predictive model currently gives Georgia an 87.4% chance of beating Oklahoma. Our predicted final score has Georgia winning 30-15. According to our model, Georgia (-13.5) has a 55.6% chance of covering the spread, while the 44.5-point over/under has a 54.1% 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: Oklahoma +13.5 (-105) / Georgia -13.5 (-110)
• Moneyline: Oklahoma +450, Georgia -550
• Total: Over/Under 44.5 (-102/-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 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: Georgia -13.5 @ -110 via bet365
• Moneyline: Georgia @ -550 via DraftKings
• Total: Over 44.5 @ -102 via FanDuel

According to our best college football bets, the top play to make on this game is Over 44.5 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 game between Georgia and Oklahoma at Sanford Stadium is scheduled to commence at 3:30 PM ET.

• Who: Oklahoma vs. Georgia
• Date: Saturday, September 26, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Sanford Stadium

College football Week 4 promos

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Conclusion

We predict Georgia, with an 87.4% win probability, will likely beat Oklahoma 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.