Oklahoma vs. Florida prediction favors Florida to win in college football Week 10 [2026]

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

Our independent predictive model gives Florida a 65.8% chance of defeating Oklahoma. Our predicted final score has Florida winning 26-21. According to our model, Florida (-4.5) has a 50.8% chance of covering the spread, while the over/under total of 48.5 points has a 52.9% chance of staying under.

Latest betting odds

We have researched the best college football odds in America for this game, which are listed here:

• Spread: Oklahoma +4.5 (-108) / Florida -4.5 (+106)
• Moneyline: Oklahoma +174, Florida -178
• Total: Over/Under 48.5 (+125/-127)

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: Florida -4.5 @ 48¢ via Novig
• Moneyline: Florida @ 64¢ via Novig
• Total: Over 48.5 @ 45¢ via Novig

According to our college football best bets, the top play to make on this game is Over 48.5 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 Florida and Oklahoma at Ben Hill Griffin Stadium is scheduled to commence at 7:45 PM ET.

• Who: Oklahoma vs. Florida
• Date: Saturday, November 7, 2026
• Time: 7:45 PM ET/4:45 PM PT
• Venue: Ben Hill Griffin Stadium

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Conclusion

We predict Florida, with a 65.8% 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.