Baylor vs. BYU prediction favors Brigham Young to win in college football Week 11 [2026]

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

Our leading predictive model currently gives Brigham Young a 74.3% chance of beating Baylor. Our predicted final score has Brigham Young winning 29-21. According to our model, the bookies have got it right, and Baylor and Brigham Young each have a 50% chance of covering the spread, while the 50.5-point over/under has a 51.2% 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: Baylor +8.5 (-102) / BYU -8.5 (+100)
• Moneyline: Baylor +285, BYU -292
• Total: Over/Under 50.5 (+104/-106)

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: Brigham Young -8.5 @ 50¢ via Novig
• Moneyline: Brigham Young @ 75¢ via Novig
• Total: Over 50.5 @ 49¢ via Novig

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 action between BYU and Baylor at LaVell Edwards Stadium is scheduled to begin at 7:00 PM ET.

• Who: Baylor vs. Brigham Young
• Date: Saturday, November 14, 2026
• Time: 7:00 PM ET/4:00 PM PT
• Venue: LaVell Edwards Stadium

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Conclusion

We predict Brigham Young, with a 74.3% win probability, will likely beat Baylor 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.