Princeton vs. Bryant prediction favors Princeton to win in college football Week 3 [2026]

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

Our independent predictive model gives Princeton a 57.8% chance of defeating Bryant University. Our predicted final score has Princeton winning 24-21. According to our model, Princeton (-2.5) has a 50.2% chance of covering the spread, while the 43.5-point over/under has a 55.9% chance of going over.

Latest betting odds

We have researched the best college football odds in America for this game, which are listed here:

• Spread: Princeton -2.5 (-110) / Bryant +2.5 (-110)
• Moneyline: Princeton -150, Bryant +125
• Total: Over/Under 43.5 (-110/-110)

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 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: Princeton -2.5 @ -110 via bet365
• Moneyline: Princeton @ -150 via bet365
• Total: Over 43.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Over 43.5 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 Bryant and Princeton at Beirne Stadium is scheduled to begin at 1:00 PM ET.

• Who: Princeton vs. Bryant University
• Date: Saturday, September 19, 2026
• Time: 1:00 PM ET/10:00AM PT
• Venue: Beirne Stadium

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Conclusion

We predict Princeton, with a 57.8% 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.