Bucknell vs. Lehigh prediction favors Lehigh to win in college football Week 9 [2026]

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

Our famous predictive model gives Lehigh a 97.9% chance of defeating Bucknell. Our predicted final score has Lehigh winning 36-9. According to our model, Bucknell (+27.5) has a 51.2% chance of covering the spread, while the 45.5-point over/under has a 52.4% 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: Bucknell +27.5 (-113) / Lehigh -27.5 (-105)
• Moneyline: Bucknell +1718, Lehigh -1900
• Total: Over/Under 45.5 (+117/-130)

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: Bucknell +27.5 @ -113 via Caesars
• Moneyline: Lehigh @ 95¢ via Novig
• Total: Over 45.5 @ 46¢ via Novig

According to our college football best bets, the top play to make on this game is Over 45.5 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 Lehigh and Bucknell at Murray H. Goodman Stadium is scheduled to begin at 12:00 PM ET.

• Who: Bucknell vs. Lehigh
• Date: Saturday, October 31, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Murray H. Goodman Stadium

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Conclusion

We predict Lehigh, with a 97.9% 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.