Arizona vs. BYU prediction favors Brigham Young to win in college football Week 2 [2026]

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

Our independent predictive model gives Brigham Young a 71.6% chance of beating Arizona. Our predicted final score has Brigham Young winning 28-21. According to our model, Arizona (+7.5) has a 52.6% chance of covering the spread, while the over/under total of 48.5 points has a 53.2% 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: Arizona +7.5 (-114) / BYU -7.5 (+100)
• Moneyline: Arizona +250, BYU -245
• Total: Over/Under 48.5 (-106/-110)

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: Arizona +7.5 @ -114 via BetRivers
• Moneyline: Brigham Young @ -245 via bet365
• Total: Over 48.5 @ -106 via FanDuel

According to our best college football bets, the top play to make on this game is Over 48.5 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 Arizona at LaVell Edwards Stadium is scheduled to commence at 3:30 PM ET.

• Who: Arizona vs. Brigham Young
• Date: Saturday, September 12, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: LaVell Edwards Stadium

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Conclusion

We predict Brigham Young, with a 71.6% win probability, will likely beat Arizona 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.