New Mexico vs. San Jose State prediction favors New Mexico to win in college football Week 9 [2026]

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

Our famous predictive model gives New Mexico an 85.8% chance of beating San Jose State. Our predicted final score has New Mexico winning 29-14. According to our model, New Mexico (-14.5) has a 50.7% chance of covering the spread, while the 42.5-point over/under has a 54.2% 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: New Mexico -14.5 (-106) / San Jose State +14.5 (+104)
• Moneyline: New Mexico -590, San Jose State +567
• Total: Over/Under 42.5 (-107/-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: San Jose State +14.5 @ 49¢ via Novig
• Moneyline: New Mexico @ 86¢ via Novig
• Total: Over 42.5 @ -107 via Caesars

According to our college football best bets, the top play to make on this game is Over 42.5 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 San Jose State and New Mexico at CEFCU Stadium is scheduled to commence at 4:00 PM ET.

• Who: New Mexico vs. San Jose State
• Date: Saturday, October 31, 2026
• Time: 4:00 PM ET/1:00 PM PT
• Venue: CEFCU Stadium

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Conclusion

We predict New Mexico, with an 85.8% 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.