Florida vs. Auburn prediction: Why Florida is favored to win in college football Week 3 [2026]

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

Our independent predictive model gives Florida a 55.0% chance of defeating Auburn. Our predicted final score has Florida winning 27-25. According to our model, Auburn (+2.5) has a 50.7% chance of covering the spread, while the 53.5-point over/under has an equal 50-50 chance of hitting.

Latest betting odds

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

• Spread: Florida -2.5 (-105) / Auburn +2.5 (-113)
• Moneyline: Florida -120, Auburn +110
• Total: Over/Under 53.5 (-105/-110)

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 -2.5 @ -105 via bet365
• Moneyline: Florida @ -120 via Caesars
• Total: Over 53.5 @ -105 via FanDuel

According to our college football best bets, the top play to make on this game is Florida 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 game between Auburn and Florida at Jordan-Hare Stadium is scheduled to commence at 7:00 PM ET.

• Who: Florida vs. Auburn
• Date: Saturday, September 19, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Jordan-Hare Stadium

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Conclusion

We predict Florida, with a 55.0% win probability, will likely beat Auburn 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.