Vanderbilt vs. Georgia prediction favors Georgia to win in college football Week 5 [2026]

Using trusted machine learning and data, we have re-simulated the result of Vanderbilt vs. Georgia, forming part of our college football predictions coverage.

Our famous predictive model currently gives Georgia a 97.4% chance of beating Vanderbilt. Our predicted final score has Georgia winning 38-12. According to our model, Georgia (-25.5) has a 52.7% chance of covering the spread, while the over/under total of 50.5 points has a 52.4% 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 +25.5 (-110) / Georgia -25.5 (-106)
• Moneyline: Vanderbilt +1600, Georgia -3200
• Total: Over/Under 50.5 (-114/-105)

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: Georgia -25.5 @ -106 via Caesars
• Moneyline: Georgia @ -3200 via DraftKings
• Total: Over 50.5 @ -114 via BetRivers

According to our college football best bets, the top play to make on this game is Georgia -25.5 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 matchup between Georgia and Vanderbilt at Sanford Stadium is scheduled to begin at 12:45 PM ET.

• Who: Vanderbilt vs. Georgia
• Date: Saturday, October 3, 2026
• Time: 12:45 PM ET/9:45AM PT
• Venue: Sanford Stadium

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Conclusion

We predict Georgia, with a 97.4% 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.