Bryant vs. Monmouth prediction: Why Monmouth is favored to win in college football Week 9 [2026]

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

Our independent predictive model gives Monmouth an 84.3% chance of defeating Bryant University. Our predicted final score has Monmouth winning 34-20. According to our model, Bryant University (+14.5) has a 51.6% chance of covering the spread, while the 54.5-point over/under 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: Bryant +14.5 (-117) / Monmouth -14.5 (+111)
• Moneyline: Bryant +441, Monmouth -456
• Total: Over/Under 54.5 (-110/+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: Monmouth -14.5 @ 48¢ via Novig
• Moneyline: Monmouth @ 82¢ via Novig
• Total: Over 54.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Monmouth to win.

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 Monmouth and Bryant at Kessler Stadium is scheduled to commence at 1:00 PM ET.

• Who: Bryant University vs. Monmouth
• Date: Saturday, October 31, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Kessler Stadium

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Conclusion

We predict Monmouth, with an 84.3% 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.