Vanderbilt vs. Kentucky prediction favors Kentucky to win in college football Week 8 [2026]

Using trusted machine learning and statistical analysis, we have re-simulated the outcome of Vanderbilt vs. Kentucky, forming part of our college football predictions coverage.

Our leading predictive model gives Kentucky an 82.5% chance of defeating Vanderbilt. Our predicted final score has Kentucky winning 31-20. According to our model, Kentucky (-9.5) has a 56.0% chance of covering the spread, while the over/under total of 52.5 points has a 50.1% 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: Vanderbilt +9.5 (+117) / Kentucky -9.5 (-122)
• Moneyline: Vanderbilt +355, Kentucky -376
• Total: Over/Under 52.5 (+111/-113)

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: Kentucky -9.5 @ 55¢ via Novig
• Moneyline: Kentucky @ 79¢ via Novig
• Total: Over 52.5 @ 48¢ via Novig

According to our college football best bets, the top play to make on this game is Kentucky 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 Kentucky and Vanderbilt at Kroger Field is scheduled to begin at 7:30 PM ET.

• Who: Vanderbilt vs. Kentucky
• Date: Saturday, October 24, 2026
• Time: 7:30 PM ET/4:30 PM PT
• Venue: Kroger Field

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Conclusion

We predict Kentucky, with an 82.5% 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.