Wyoming vs. UNLV prediction favors UNLV to win in college football Week 10 [2026]

Using powerful machine learning and statistical analysis, we have re-simulated the outcome of Wyoming vs. UNLV, forming part of our college football predictions coverage.

Our independent predictive model gives UNLV a 64.0% chance of defeating Wyoming. Our predicted final score has UNLV winning 26-22. According to our model, Wyoming (+8.5) has a 62.6% chance of covering the spread, while the 47.5-point over/under has a 56.3% 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: Wyoming +8.5 (-194) / UNLV -8.5 (+174)
• Moneyline: Wyoming +170, UNLV -174
• Total: Over/Under 47.5 (-117/-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: UNLV -8.5 @ 36¢ via Novig
• Moneyline: UNLV @ 64¢ via Novig
• Total: Over 47.5 @ -117 via BetRivers

According to our college football best bets, the top play to make on this game is Over 47.5 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 UNLV and Wyoming at Allegiant Stadium is scheduled to start at 10:30 PM ET.

• Who: Wyoming vs. UNLV
• Date: Saturday, November 7, 2026
• Time: 10:30 PM ET/7:30 PM PT
• Venue: Allegiant Stadium

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Conclusion

We predict UNLV, with a 64.0% win probability, will likely beat Wyoming 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.