Albany NY vs. Bryant prediction favors Albany NY to win in college football Week 10 [2026]

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

Our famous predictive model currently gives Albany NY a 76.2% chance of beating Bryant University. Our predicted final score has Albany NY winning 28-18. According to our model, Albany NY (-8.5) has a 53.2% chance of covering the spread, while the over/under total of 44.5 points has a 55.8% 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: Albany NY -8.5 (-130) / Bryant +8.5 (+115)
• Moneyline: Albany NY -326, Bryant +317
• Total: Over/Under 44.5 (-110/-105)

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 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: Bryant University +8.5 @ 46¢ via Novig
• Moneyline: Bryant University @ 24¢ via Novig
• Total: Over 44.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Over 44.5 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 Albany NY at Beirne Stadium is scheduled to commence at 1:00 PM ET.

• Who: Albany NY vs. Bryant University
• Date: Saturday, November 7, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Beirne Stadium

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Conclusion

We predict Albany NY, with a 76.2% 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.