Fordham vs. Bucknell prediction favors Fordham to win in college football Week 10 [2026]

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

Our independent predictive model gives Fordham a 56.1% chance of defeating Bucknell. Our predicted final score has Fordham winning 24-21. According to our model, Fordham (+1.5) has a 60.1% chance of covering the spread, while the 44.5-point over/under has a 55.5% 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: Fordham +1.5 (-144) / Bucknell -1.5 (+127)
• Moneyline: Fordham -125, Bucknell +122
• Total: Over/Under 44.5 (-112/-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 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: Fordham +1.5 @ 59¢ via Novig
• Moneyline: Fordham @ 56¢ via Novig
• Total: Over 44.5 @ -112 via DraftKings

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 action between Bucknell and Fordham at Christy Mathewson-Memorial Stadium is scheduled to start at 1:00 PM ET.

• Who: Fordham vs. Bucknell
• Date: Saturday, November 7, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Christy Mathewson-Memorial Stadium

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Conclusion

We predict Fordham, with a 56.1% win probability, will likely beat Bucknell 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.