Samford vs. Furman prediction favors Furman to win in college football Week 8 [2026]

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

Our leading predictive model currently gives Furman a 79.5% chance of beating Samford. Our predicted final score has Furman winning 27-16. According to our model, Furman (-9.5) has a 53.6% chance of covering the spread, while the 42.5-point over/under has a 55.6% 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: Samford +9.5 (-110) / Furman -9.5 (-110)
• Moneyline: Samford +285, Furman -308
• Total: Over/Under 42.5 (-110/-120)

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: Furman -9.5 @ -110 via bet365
• Moneyline: Furman @ 76¢ via Novig
• Total: Over 42.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Furman 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 action between Furman and Samford at Paladin Stadium is scheduled to begin at 2:00 PM ET.

• Who: Samford vs. Furman
• Date: Saturday, October 24, 2026
• Time: 2:00 PM ET/11:00 AM PT
• Venue: Paladin Stadium

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Conclusion

We predict Furman, with a 79.5% win probability, will likely beat Samford 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.