Duquesne vs. Washington State prediction: Why Washington State is favored to win in college football Week 3 [2026]

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

Our leading predictive model gives Washington State a 99.3% chance of beating Duquesne. Our predicted final score has Washington State winning 46-7. According to our model, Duquesne (+38.5) has a 50.5% chance of covering the spread, while the over/under total of 52.5 points has a 52.7% 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 +38.5 (-105) / Washington State -38.5 (-108)
• Moneyline: Duquesne , Washington State

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: Over @ -114 via BetRivers

According to our college football best bets, the top play to make on this game is over 52.5 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 game between Washington State and Duquesne at Gesa Field at Martin Stadium is scheduled to start at 3:30 PM ET.

• Who: Duquesne vs. Washington State
• Date: Saturday, September 19, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Gesa Field at Martin Stadium

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Conclusion

We predict Washington State, with a 99.3% win probability, will likely beat Duquesne 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.