Utah Tech vs. Cal Poly prediction: Why Cal Poly is favored to win in college football Week 8 [2026]

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

Our independent predictive model gives Cal Poly an 89.1% chance of beating Utah Tech. Our predicted final score has Cal Poly winning 36-18. According to our model, Cal Poly (-17.5) has a 51.4% chance of covering the spread, while the 54.5-point over/under has a 52.3% chance of going over.

Latest betting odds

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

• Spread: Utah Tech +17.5 (-110) / Cal Poly -17.5 (-110)
• Moneyline: Utah Tech +567, Cal Poly -590
• Total: Over/Under 54.5 (-113/-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 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: Cal Poly -17.5 @ -110 via bet365
• Moneyline: Cal Poly @ 86¢ via Novig
• Total: Over 54.5 @ -113 via DraftKings

According to our college football best bets, the top play to make on this game is Cal Poly to win.

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 Cal Poly and Utah Tech at Mustang Memorial Field is scheduled to start at 5:00 PM ET.

• Who: Utah Tech vs. Cal Poly
• Date: Saturday, October 24, 2026
• Time: 5:00 PM ET/2:00 PM PT
• Venue: Mustang Memorial Field

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Conclusion

We predict Cal Poly, with an 89.1% win probability, will likely beat Utah Tech 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.