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

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

Our independent predictive model gives Brigham Young a 74.2% chance of beating Baylor. Our predicted final score has Brigham Young winning 29-21. According to our model, the oddsmakers have got it right, and Baylor and Brigham Young each have a 50% chance of covering the spread, while the 49.5-point over/under has a 52.6% 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 (-102)
• Moneyline: Baylor +285, BYU -292
• Total: Over/Under 49.5 (-106/+102)

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: Brigham Young -8.5 @ 50¢ via Novig
• Moneyline: Baylor @ 26¢ via Novig
• Total: Over 49.5 @ 51¢ via Novig

According to our best college football bets, the top play to make on this game is Over 49.5 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 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 74.2% 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.