Utah Tech vs. Portland State prediction: Why Portland State is favored to win in college football Week 6 [2026]

Using powerful machine learning and data analysis, we have re-simulated the outcome of Utah Tech vs. Portland State, forming part of our college football predictions coverage.

Our famous predictive model currently gives Portland State a 73.6% chance of defeating Utah Tech. Our predicted final score has Portland State winning 35-26. According to our model, Portland State (-6.5) has a 59.5% chance of covering the spread, while the 61.5-point over/under has a 50.9% 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: Utah Tech +6.5 (-115) / Portland State -6.5 (-115)
• Moneyline: Utah Tech +232, Portland State -245
• Total: Over/Under 61.5 (-112/-110)

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: Portland State -6.5 @ -115 via bet365
• Moneyline: Portland State @ -245 via bet365
• Total: Under 61.5 @ -110 via DraftKings

According to our college football best bets, the top play to make on this game is Portland State -6.5 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 Portland State and Utah Tech at Hillsboro Stadium is scheduled to begin at 4:00 PM ET.

• Who: Utah Tech vs. Portland State
• Date: Saturday, October 10, 2026
• Time: 4:00 PM ET/1:00PM PT
• Venue: Hillsboro Stadium

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Conclusion

We predict Portland State, with a 73.6% win probability, will likely beat Utah Tech in Saturday's college football matchup.

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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.