Southern Utah vs. Idaho prediction: Why Idaho is favored to win in college football Week 8 [2026]

Using innovative machine learning and statistical analysis, we have re-simulated the result of Southern Utah vs. Idaho, forming part of our college football predictions coverage.

Our leading predictive model gives Idaho a 61.5% chance of defeating Southern Utah. Our predicted final score has Idaho winning 34-29. According to our model, Idaho (-3.5) has a 50.3% chance of covering the spread, while the 63.5-point over/under has a 52.9% 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: Southern Utah +3.5 (-119) / Idaho -3.5 (+120)
• Moneyline: Southern Utah +133, Idaho -138
• Total: Over/Under 63.5 (-150/+130)

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: Idaho -3.5 @ 46¢ via Novig
• Moneyline: Idaho @ 58¢ via Novig
• Total: Under 63.5 @ 44¢ via Novig

According to our college football best bets, the top play to make on this game is Idaho -3.5 at the spread.

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 matchup between Idaho and Southern Utah at P1FCU Kibbie Dome is scheduled to commence at 5:00 PM ET.

• Who: Southern Utah vs. Idaho
• Date: Saturday, October 24, 2026
• Time: 5:00 PM ET/2:00 PM PT
• Venue: P1FCU Kibbie Dome

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Conclusion

We predict Idaho, with a 61.5% win probability, will likely beat Southern Utah 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.