Robert Morris vs. Duquesne prediction favors Duquesne to win in college football Week 10 [2026]

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

Our leading predictive model gives Duquesne a 77.0% chance of defeating Robert Morris. Our predicted final score has Duquesne winning 29-19. According to our model, Duquesne (-9.5) has a 50.8% chance of covering the spread, while the 45.5-point over/under has a 57.2% 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: Robert Morris +9.5 (-104) / Duquesne -9.5 (-105)
• Moneyline: Robert Morris +308, Duquesne -317
• Total: Over/Under 45.5 (-114/-107)

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: Duquesne -9.5 @ -105 via bet365
• Moneyline: Duquesne @ 76¢ via Novig
• Total: Over 45.5 @ -114 via BetRivers

According to our college football best bets, the top play to make on this game is Over 45.5 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 Robert Morris at Arthur J. Rooney Athletic Field is scheduled to start at 12:00 PM ET.

• Who: Robert Morris vs. Duquesne
• Date: Saturday, November 7, 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 a 77.0% win probability, will likely beat Robert Morris 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.