Duquesne vs. New Haven prediction favors Duquesne to win in college football Week 9 [2026]

Using trusted machine learning and data, we have re-simulated the outcome of Duquesne vs. New Haven, forming part of our college football predictions coverage.

Our independent predictive model currently gives Duquesne a 65.9% chance of beating New Haven. Our predicted final score has Duquesne winning 27-23. According to our model, New Haven (+5.5) has a 51.7% chance of covering the spread, while the 49.5-point over/under has a 52.6% 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: Duquesne -5.5 (-102) / New Haven +5.5 (-106)
• Moneyline: Duquesne -190, New Haven +186
• Total: Over/Under 49.5 (-110/+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: New Haven +5.5 @ 51¢ via Novig
• Moneyline: Duquesne @ 65¢ via Novig
• Total: Over 49.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Duquesne 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 New Haven and Duquesne at Ralph F. DellaCamera Stadium is scheduled to begin at 12:00 PM ET.

• Who: Duquesne vs. New Haven
• Date: Saturday, October 31, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Ralph F. DellaCamera Stadium

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Conclusion

We predict Duquesne, with a 65.9% win probability, will likely beat New Haven 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.