Portland State vs. Oregon prediction favors Oregon to win in college football Week 3 [2026]

Using trusted machine learning and data analysis, we have re-simulated the result of Portland State vs. Oregon, forming part of our college football predictions coverage.

Our famous predictive model gives Oregon a 99.9% chance of defeating Portland State. Our predicted final score has Oregon winning 61-4. According to our model, Portland State (+57.5) has a 51.4% chance of covering the spread, while the 68.5-point over/under has a 55.0% 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: Portland State +57.5 (-105) / Oregon -57.5 (-108)
• Moneyline: Portland State , Oregon

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:

• Moneyline: Under @ -106 via FanDuel

According to our best college football bets, the top play to make on this game is under 68.5 points.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Friday's college football game between Oregon and Portland State at Autzen Stadium is scheduled to begin at 10:30 PM ET.

• Who: Portland State vs. Oregon
• Date: Friday, September 18, 2026
• Time: 10:30 PM ET/7:30PM PT
• Venue: Autzen Stadium

College football Week 3 promos

Make the most of Dimers' Portland State vs. Oregon predictions by exploring the Underdog Fantasy offfer below

Conclusion

We predict Oregon, with a 99.9% win probability, will likely beat Portland State in Friday'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.