Mercer vs. Samford prediction favors Mercer to win in college football Week 7 [2026]

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

Our leading predictive model currently gives Mercer an 86.5% chance of defeating Samford. Our predicted final score has Mercer winning 31-17. According to our model, Samford (+15.5) has a 51.1% chance of covering the spread, while the 50.5-point over/under has a 52.7% chance of staying under.

Latest betting odds

We have sourced the best college football odds in America for this game, which are listed here:

• Spread: Mercer -15.5 (-109) / Samford +15.5 (-110)
• Moneyline: Mercer -506, Samford +488
• Total: Over/Under 50.5 (+111/-120)

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: Samford +15.5 @ -110 via bet365
• Moneyline: Mercer @ 84¢ via Novig
• Total: Over 50.5 @ 48¢ via Novig

According to our college football best bets, the top play to make on this game is Mercer 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 Samford and Mercer at Pete Hanna Stadium is scheduled to commence at 7:00 PM ET.

• Who: Mercer vs. Samford
• Date: Saturday, October 17, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Pete Hanna Stadium

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Conclusion

We predict Mercer, with an 86.5% 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.