Wagner vs. Duquesne prediction favors Duquesne to win in college football Week 8 [2026]

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

Our famous predictive model gives Duquesne an 81.6% chance of defeating Wagner. Our predicted final score has Duquesne winning 29-16. According to our model, Wagner (+13.5) has a 52.0% chance of covering the spread, while the 46.5-point over/under has a 50.5% 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: Wagner +13.5 (-109) / Duquesne -13.5 (-105)
• Moneyline: Wagner +426, Duquesne -456
• Total: Over/Under 46.5 (+127/-133)

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: Wagner +13.5 @ -109 via Caesars
• Moneyline: Duquesne @ 82¢ via Novig
• Total: Over 46.5 @ 44¢ via Novig

According to our college football best bets, the top play to make on this game is Over 46.5 total points.

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 Duquesne and Wagner at Arthur J. Rooney Athletic Field is scheduled to start at 12:00 PM ET.

• Who: Wagner vs. Duquesne
• Date: Saturday, October 24, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Arthur J. Rooney Athletic Field

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Conclusion

We predict Duquesne, with an 81.6% 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.