South Alabama vs. Marshall prediction: Why South Alabama is favored to win in college football Week 8 [2026]

Using powerful machine learning and data, we have re-simulated the outcome of South Alabama vs. Marshall, forming part of our college football predictions coverage.

Our independent predictive model gives South Alabama a 56.0% chance of defeating Marshall. Our predicted final score has South Alabama winning 32-31. According to our model, South Alabama (-2.5) has a 50.2% chance of covering the spread, while the over/under total of 60.5 points has a 58.4% 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: South Alabama -2.5 (-120) / Marshall +2.5 (+117)
• Moneyline: South Alabama -147, Marshall +144
• Total: Over/Under 60.5 (-167/+160)

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 +2.5 @ 46¢ via Novig
• Moneyline: Marshall @ 41¢ via Novig
• Total: Under 60.5 @ 39¢ via Novig

According to our best college football bets, the top play to make on this game is Marshall +2.5 at the spread.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Tuesday's college football game between Marshall and South Alabama at Joan C. Edwards Stadium is scheduled to commence at 7:30 PM ET.

• Who: South Alabama vs. Marshall
• Date: Tuesday, October 20, 2026
• Time: 7:30 PM ET/4:30 PM PT
• Venue: Joan C. Edwards Stadium

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Conclusion

We predict South Alabama, with a 56.0% win probability, will likely beat Marshall in Tuesday'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.