West Virginia vs. Texas Tech prediction: Why Texas Tech is favored to win in college football Week 10 [2026]

Using powerful machine learning and data, we have re-simulated the result of West Virginia vs. Texas Tech, forming part of our college football predictions coverage.

Our leading predictive model currently gives Texas Tech an 87.9% chance of beating West Virginia. Our predicted final score has Texas Tech winning 40-23. According to our model, Texas Tech (-15.5) has a 52.6% chance of covering the spread, while the over/under total of 63.5 points has a 50.6% 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: West Virginia +15.5 (+100) / Texas Tech -15.5 (-102)
• Moneyline: West Virginia +567, Texas Tech -590
• Total: Over/Under 63.5 (-133/+122)

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: Texas Tech -15.5 @ 50¢ via Novig
• Moneyline: Texas Tech @ 86¢ via Novig
• Total: Under 63.5 @ 45¢ via Novig

According to our college football best bets, the top play to make on this game is Under 63.5 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 Texas Tech and West Virginia at Galaxy Stadium is scheduled to start at 9:30 PM ET.

• Who: West Virginia vs. Texas Tech
• Date: Saturday, November 7, 2026
• Time: 9:30 PM ET/6:30 PM PT
• Venue: Galaxy Stadium

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Conclusion

We predict Texas Tech, with an 87.9% win probability, will likely beat West Virginia 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.