Stanford vs. Virginia Tech prediction favors Virginia Tech to win in college football Week 11 [2026]

Using powerful machine learning and statistical analysis, we have re-simulated the outcome of Stanford vs. Virginia Tech, forming part of our college football predictions coverage.

Our independent predictive model gives Virginia Tech an 87.3% chance of beating Stanford. Our predicted final score has Virginia Tech winning 36-20. According to our model, Virginia Tech (-15.5) has a 50.7% chance of covering the spread, while the 57.5-point over/under has a 50.5% chance of staying under.

Latest betting odds

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

• Spread: Stanford +15.5 (+102) / Virginia Tech -15.5 (-106)
• Moneyline: Stanford +614, Virginia Tech -641
• Total: Over/Under 57.5 (-106/+104)

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 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: Stanford +15.5 @ 50¢ via Novig
• Moneyline: Virginia Tech @ 86¢ via Novig
• Total: Under 57.5 @ 49¢ via Novig

According to our college football best bets, the top play to make on this game is Under 57.5 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 Virginia Tech and Stanford at Lane Stadium is scheduled to commence at 7:30 PM ET.

• Who: Stanford vs. Virginia Tech
• Date: Saturday, November 14, 2026
• Time: 7:30 PM ET/4:30 PM PT
• Venue: Lane Stadium

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Conclusion

We predict Virginia Tech, with an 87.3% win probability, will likely beat Stanford 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.