Campbell vs. Hampton prediction favors Campbell to win in college football Week 4 [2026]

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

Our leading predictive model gives Campbell an 89.4% chance of beating Hampton. Our predicted final score has Campbell winning 36-18. According to our model, Hampton (+19.5) has a 53.2% chance of covering the spread, while the 55.5-point over/under has a 52.2% chance of staying under.

Latest betting odds

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

• Spread: Campbell -19.5 (-111) / Hampton +19.5 (-111)
• Moneyline: Campbell -1200, Hampton +660
• Total: Over/Under 55.5 (+110/-137)

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: Hampton +19.5 @ -111 via DraftKings
• Moneyline: Hampton @ +660 via DraftKings
• Total: Over 55.5 @ +110 via DraftKings

According to our college football best bets, the top play to make on this game is Hampton +19.5 at the spread.

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 Hampton and Campbell at Armstrong Stadium is scheduled to start at 6:00 PM ET.

• Who: Campbell vs. Hampton
• Date: Saturday, September 26, 2026
• Time: 6:00 PM ET/3:00PM PT
• Venue: Armstrong Stadium

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Conclusion

We predict Campbell, with an 89.4% win probability, will likely beat Hampton 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.