Pennsylvania vs. Brown prediction favors Brown to win in college football Week 9 [2026]

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

Our independent predictive model currently gives Brown a 61.5% chance of beating Pennsylvania. Our predicted final score has Brown winning 23-19. According to our model, Brown (-3) has a 52.4% chance of covering the spread, while the 39.5-point over/under has a 58.0% 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: Pennsylvania +3 (-108) / Brown -3 (-115)
• Moneyline: Pennsylvania +135, Brown -144
• Total: Over/Under 39.5 (-115/-104)

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: Brown -3 @ -115 via DraftKings
• Moneyline: Brown @ 59¢ via Novig
• Total: Over 39.5 @ -115 via bet365

According to our college football best bets, the top play to make on this game is Over 39.5 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 matchup between Brown and Pennsylvania at Brown Stadium is scheduled to commence at 12:00 PM ET.

• Who: Pennsylvania vs. Brown
• Date: Saturday, October 31, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Brown Stadium

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Conclusion

We predict Brown, with a 61.5% win probability, will likely beat Pennsylvania 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.