Bryant vs. Brown prediction favors Brown to win in college football Week 6 [2026]

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

Our famous predictive model currently gives Brown a 63.0% chance of beating Bryant University. Our predicted final score has Brown winning 24-19. According to our model, Brown (-4.5) has a 50.2% chance of covering the spread, while the over/under total of 42.5 points has a 53.8% 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: Bryant +4.5 (-113) / Brown -4.5 (-109)
• Moneyline: Bryant +151, Brown -180
• Total: Over/Under 42.5 (-115/+101)

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 available 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: Brown -4.5 @ -109 via Caesars
• Moneyline: Brown @ -180 via bet365
• Total: Over 42.5 @ -115 via bet365

According to our best college football bets, the top play to make on this game is Over 42.5 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 Brown and Bryant at Brown Stadium is scheduled to start at 12:00 PM ET.

• Who: Bryant University vs. Brown
• Date: Saturday, October 10, 2026
• Time: 12:00 PM ET/9:00AM PT
• Venue: Brown Stadium

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Conclusion

We predict Brown, with a 63.0% win probability, will likely beat Bryant University 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.