Alabama vs. Vanderbilt prediction favors Alabama to win in college football Week 11 [2026]

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

Our independent predictive model gives Alabama an 83.3% chance of defeating Vanderbilt. Our predicted final score has Alabama winning 30-18. According to our model, Vanderbilt (+14.5) has a 55.9% chance of covering the spread, while the over/under total of 48.5 points has a 51.4% chance of going over.

Latest betting odds

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

• Spread: Alabama -14.5 (+108) / Vanderbilt +14.5 (-110)
• Moneyline: Alabama -614, Vanderbilt +590
• Total: Over/Under 48.5 (+102/-106)

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: Vanderbilt +14.5 @ -110 via FanDuel
• Moneyline: Vanderbilt @ 15¢ via Novig
• Total: Over 48.5 @ 50¢ via Novig

According to our college football best bets, the top play to make on this game is Vanderbilt +14.5 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 action between Vanderbilt and Alabama at FirstBank Stadium is scheduled to begin at 12:45 PM ET.

• Who: Alabama vs. Vanderbilt
• Date: Saturday, November 14, 2026
• Time: 12:45 PM ET/9:45 AM PT
• Venue: FirstBank Stadium

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Conclusion

We predict Alabama, with an 83.3% 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.