Campbell vs. Maine prediction: Why Campbell is favored to win in college football Week 8 [2026]

Using innovative machine learning and data, we have re-simulated the outcome of Campbell vs. Maine, forming part of our college football predictions coverage.

Our independent predictive model currently gives Campbell a 77.3% chance of beating Maine. Our predicted final score has Campbell winning 31-22. According to our model, Maine (+10.5) has a 51.6% chance of covering the spread, while the over/under total of 53.5 points has a 50.4% 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: Campbell -10.5 (-125) / Maine +10.5 (-105)
• Moneyline: Campbell -365, Maine +355
• Total: Over/Under 53.5 (-104/-102)

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: Maine +10.5 @ -105 via bet365
• Moneyline: Maine @ 22¢ via Novig
• Total: Over 53.5 @ 51¢ via Novig

According to our college football best bets, the top play to make on this game is Maine 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 Maine and Campbell at Morse Field At Harold Alfond Sports Stadium is scheduled to start at 1:00 PM ET.

• Who: Campbell vs. Maine
• Date: Saturday, October 24, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Morse Field At Harold Alfond Sports Stadium

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Conclusion

We predict Campbell, with a 77.3% win probability, will likely beat Maine 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.