Wagner vs. James Madison prediction favors James Madison to win in college football Week 2 [2026]

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

Our famous predictive model gives James Madison a 99.8% chance of beating Wagner. Our predicted final score has James Madison winning 50-5. According to our model, Wagner (+46.5) has a 54.2% chance of covering the spread, while the 56.5-point over/under has a 51.3% 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: Wagner +46.5 (-110) / James Madison -46.5 (-108)
• Moneyline: Wagner , James Madison

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 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:

• Moneyline: Under @ -106 via DraftKings

According to our college football best bets, the top play to make on this game is Wagner +46.5.

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 James Madison and Wagner at Bridgeforth Stadium/Zane Showker Field is scheduled to commence at 12:00 PM ET.

• Who: Wagner vs. James Madison
• Date: Saturday, September 12, 2026
• Time: 12:00 PM ET/9:00AM PT
• Venue: Bridgeforth Stadium/Zane Showker Field

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Conclusion

We predict James Madison, with a 99.8% win probability, will likely beat Wagner 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.