Alabama vs. Tennessee prediction: Why Alabama is favored to win in college football Week 7 [2026]

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

Our famous predictive model currently gives Alabama a 73.7% chance of beating Tennessee. Our predicted final score has Alabama winning 29-22. According to our model, Tennessee (+7.5) has a 50.4% chance of covering the spread, while the 50.5-point over/under has a 53.0% 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: Alabama -7.5 (-110) / Tennessee +7.5 (-108)
• Moneyline: Alabama -315, Tennessee +270
• Total: Over/Under 50.5 (-110/-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 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: Tennessee +7.5 @ -108 via DraftKings
• Moneyline: Tennessee @ +270 via DraftKings
• Total: Over 50.5 @ -110 via FanDuel

According to our college football best bets, the top play to make on this game is Over 50.5 total points.

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 Tennessee and Alabama at Neyland Stadium is scheduled to commence at 3:30 PM ET.

• Who: Alabama vs. Tennessee
• Date: Saturday, October 17, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Neyland Stadium

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Conclusion

We predict Alabama, with a 73.7% win probability, will likely beat Tennessee 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.