San Jose State vs. Nevada prediction favors Nevada to win in college football Week 8 [2026]

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

Our independent predictive model currently gives Nevada a 69.4% chance of beating San Jose State. Our predicted final score has Nevada winning 26-20. According to our model, Nevada (-5.5) has a 51.4% chance of covering the spread, while the 45.5-point over/under has a 54.8% 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: San Jose State +5.5 (+117) / Nevada -5.5 (-125)
• Moneyline: San Jose State +223, Nevada -233
• Total: Over/Under 45.5 (-111/+106)

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: San Jose State +5.5 @ 46¢ via Novig
• Moneyline: San Jose State @ 31¢ via Novig
• Total: Over 45.5 @ 53¢ via Novig

According to our best college football bets, the top play to make on this game is San Jose State +5.5 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 Nevada and San Jose State at Mackay Stadium is scheduled to start at 5:00 PM ET.

• Who: San Jose State vs. Nevada
• Date: Saturday, October 24, 2026
• Time: 5:00 PM ET/2:00 PM PT
• Venue: Mackay Stadium

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Conclusion

We predict Nevada, with a 69.4% win probability, will likely beat San Jose State 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.