App State vs. Marshall prediction: Why Marshall is favored to win in college football Week 11 [2026]

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

Our famous predictive model gives Marshall a 52.9% chance of defeating Appalachian State. Our predicted final score has Marshall winning 28-26. According to our model, Marshall (+0.5) has a 56.1% chance of covering the spread, while the over/under total of 54.5 points has a 50.5% 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: App State -0.5 (-110) / Marshall +0.5 (-113)
• Moneyline: App State +106, Marshall -108
• Total: Over/Under 54.5 (-104/+102)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our 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: Marshall +0.5 @ -113 via BetRivers
• Moneyline: Marshall @ 52¢ via Novig
• Total: Under 54.5 @ 50¢ via Novig

According to our best college football bets, the top play to make on this game is Marshall +0.5 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 matchup between Marshall and App State at Joan C. Edwards Stadium is scheduled to start at 6:00 PM ET.

• Who: Appalachian State vs. Marshall
• Date: Saturday, November 14, 2026
• Time: 6:00 PM ET/3:00 PM PT
• Venue: Joan C. Edwards Stadium

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Conclusion

We predict Marshall, with a 52.9% win probability, will likely beat Appalachian State 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.