Ole Miss vs. Vanderbilt prediction favors Mississippi to win in college football Week 6 [2026]

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

Our famous predictive model gives Mississippi a 74.5% chance of beating Vanderbilt. Our predicted final score has Mississippi winning 31-23. According to our model, Vanderbilt (+9.5) has a 52.9% chance of covering the spread, while the 55-point over/under has a 52.8% 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 -9.5 (-111) / Vanderbilt +9.5 (-105)
• Moneyline: Ole Miss -355, Vanderbilt +300
• Total: Over/Under 55 (-109/-114)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Vanderbilt +9.5 @ -105 via FanDuel
• Moneyline: Vanderbilt @ +300 via BetRivers
• Total: Under 55 @ -114 via BetRivers

According to our college football best bets, the top play to make on this game is Vanderbilt +9.5 at the spread.

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 Vanderbilt and Ole Miss at FirstBank Stadium is scheduled to commence at 3:30 PM ET.

• Who: Mississippi vs. Vanderbilt
• Date: Saturday, October 10, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: FirstBank Stadium

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Conclusion

We predict Mississippi, with a 74.5% win probability, will likely beat Vanderbilt 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.