Bucknell vs. Holy Cross prediction favors Holy Cross to win in college football Week 8 [2026]

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

Our famous predictive model gives Holy Cross an 83.3% chance of defeating Bucknell. Our predicted final score has Holy Cross winning 29-18. According to our model, Holy Cross (-10) has a 53.7% chance of covering the spread, while the over/under total of 46.5 points has a 53.5% 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: Bucknell +10 (-113) / Holy Cross -10 (-108)
• Moneyline: Bucknell +350, Holy Cross -365
• Total: Over/Under 46.5 (-106/+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 available 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: Holy Cross -10 @ -108 via DraftKings
• Moneyline: Holy Cross @ 78¢ via Novig
• Total: Over 46.5 @ 51¢ via Novig

According to our college football best bets, the top play to make on this game is Holy Cross 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 Holy Cross and Bucknell at Fitton Field is scheduled to begin at 1:00 PM ET.

• Who: Bucknell vs. Holy Cross
• Date: Saturday, October 24, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Fitton Field

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Conclusion

We predict Holy Cross, with an 83.3% win probability, will likely beat Bucknell in Saturday's college football matchup.

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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.