Lafayette vs. Bucknell prediction favors Lafayette to win in college football Week 7 [2026]

Using trusted machine learning and statistical analysis, we have re-simulated the result of Lafayette vs. Bucknell, forming part of our college football predictions coverage.

Our independent predictive model gives Lafayette a 57.4% chance of beating Bucknell. Our predicted final score has Lafayette winning 26-24. According to our model, Bucknell (+3.5) has a 53.6% chance of covering the spread, while the 51.5-point over/under has a 52.0% 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: Lafayette -3.5 (-104) / Bucknell +3.5 (-102)
• Moneyline: Lafayette -170, Bucknell +163
• Total: Over/Under 51.5 (-108/-102)

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 +3.5 @ 50¢ via Novig
• Moneyline: Bucknell @ 38¢ via Novig
• Total: Over 51.5 @ 52¢ via Novig

According to our best college football bets, the top play to make on this game is Bucknell 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 game between Bucknell and Lafayette at Christy Mathewson-Memorial Stadium is scheduled to commence at 3:00 PM ET.

• Who: Lafayette vs. Bucknell
• Date: Saturday, October 17, 2026
• Time: 3:00 PM ET/12:00PM PT
• Venue: Christy Mathewson-Memorial Stadium

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Conclusion

We predict Lafayette, with a 57.4% 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.