Ole Miss vs. Florida prediction favors Florida to win in college football Week 4 [2026]

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

Our famous predictive model gives Florida a 63.9% chance of defeating Mississippi. Our predicted final score has Florida winning 31-27. According to our model, Florida (-4) has a 50.7% chance of covering the spread, while the over/under total of 59 points has a 50.4% chance of staying under.

Latest betting odds

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

• Spread: Ole Miss +4 (-114) / Florida -4 (-109)
• Moneyline: Ole Miss +160, Florida -175
• Total: Over/Under 59 (-112/-105)

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: Florida -4 @ -109 via BetRivers
• Moneyline: Florida @ -175 via DraftKings
• Total: Under 59 @ -105 via Caesars

According to our best college football 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 matchup between Florida and Ole Miss at Ben Hill Griffin Stadium is scheduled to commence at 3:30 PM ET.

• Who: Mississippi vs. Florida
• Date: Saturday, September 26, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Ben Hill Griffin Stadium

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Conclusion

We predict Florida, with a 63.9% win probability, will likely beat Mississippi 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.