VMI vs. Tennessee Tech prediction: Why Tennessee Tech is favored to win in college football Week 10 [2026]

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

Our independent predictive model gives Tennessee Tech a 99.3% chance of beating VMI. Our predicted final score has Tennessee Tech winning 43-6. According to our model, VMI (+38.5) has a 54.0% chance of covering the spread, while the over/under total of 49.5 points has a 50.7% 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: VMI +38.5 (-110) / Tennessee Tech -38.5 (-112)
• Moneyline: VMI +1700, Tennessee Tech -10000
• Total: Over/Under 49.5 (-105/-115)

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: VMI +38.5 @ -110 via DraftKings
• Moneyline: Tennessee Tech @ -10000 via bet365
• Total: Over 49.5 @ -105 via bet365

According to our college football best bets, the top play to make on this game is VMI +38.5 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 Tennessee Tech and VMI at Tucker Stadium is scheduled to start at 2:30 PM ET.

• Who: VMI vs. Tennessee Tech
• Date: Saturday, November 7, 2026
• Time: 2:30 PM ET/11:30 AM PT
• Venue: Tucker Stadium

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Conclusion

We predict Tennessee Tech, with a 99.3% win probability, will likely beat VMI 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.