Oregon vs. Illinois prediction: Why Oregon is favored to win in college football Week 8 [2026]

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

Our leading predictive model currently gives Oregon a 74.6% chance of beating Illinois. Our predicted final score has Oregon winning 29-21. According to our model, Illinois (+10) has a 54.3% chance of covering the spread, while the over/under total of 52.5 points has a 54.5% chance of staying under.

Latest betting odds

We have sourced the best college football odds in America for this game, which are listed here:

• Spread: Oregon -10 (-108) / Illinois +10 (-110)
• Moneyline: Oregon -344, Illinois +335
• Total: Over/Under 52.5 (+141/-144)

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:

• Spread: Illinois +10 @ -110 via Caesars
• Moneyline: Illinois @ 23¢ via Novig
• Total: Over 52.5 @ 41¢ via Novig

According to our best college football bets, the top play to make on this game is Over 52.5 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 game between Illinois and Oregon at Gies Memorial Stadium is scheduled to begin at 3:00 PM ET.

• Who: Oregon vs. Illinois
• Date: Saturday, October 24, 2026
• Time: 3:00 PM ET/12:00 PM PT
• Venue: Gies Memorial Stadium

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Conclusion

We predict Oregon, with a 74.6% win probability, will likely beat Illinois 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.