Hawaii vs. Wyoming prediction: Why Hawaii is favored to win in college football Week 4 [2026]

Using trusted machine learning and data, we have re-simulated the outcome of Hawaii vs. Wyoming, forming part of our college football predictions coverage.

Our leading predictive model currently gives Hawaii a 51.4% chance of beating Wyoming. Our predicted final score has Hawaii winning 23-22. According to our model, Wyoming (+2.5) has a 53.7% chance of covering the spread, while the over/under total of 43.5 points has a 54.9% 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: Hawaii -2.5 (-105) / Wyoming +2.5 (-110)
• Moneyline: Hawaii -125, Wyoming +109
• Total: Over/Under 43.5 (-115/-105)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Wyoming +2.5 @ -110 via FanDuel
• Moneyline: Wyoming @ +109 via Caesars
• Total: Over 43.5 @ -115 via bet365

According to our college football best bets, the top play to make on this game is Over 43.5 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 matchup between Wyoming and Hawaii at Jonah Field at War Memorial Stadium is scheduled to start at 3:00 PM ET.

• Who: Hawaii vs. Wyoming
• Date: Saturday, September 26, 2026
• Time: 3:00 PM ET/12:00PM PT
• Venue: Jonah Field at War Memorial Stadium

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Conclusion

We predict Hawaii, with a 51.4% 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.