UTSA vs. Tulane prediction: Why UTSA is favored to win in college football Week 8 [2026]

Using powerful machine learning and data, we have re-simulated the result of UTSA vs. Tulane, forming part of our college football predictions coverage.

Our independent predictive model currently gives UTSA a 54.6% chance of beating Tulane. Our predicted final score has UTSA winning 26-25. According to our model, Tulane (+3.5) has a 56.3% chance of covering the spread, while the over/under total of 50.5 points has a 55.3% 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: UTSA -3.5 (+117) / Tulane +3.5 (-122)
• Moneyline: UTSA -138, Tulane +135
• Total: Over/Under 50.5 (-125/+120)

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: Tulane +3.5 @ 55¢ via Novig
• Moneyline: Tulane @ 43¢ via Novig
• Total: Over 50.5 @ 56¢ via Novig

According to our college football best bets, the top play to make on this game is Tulane 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 game between Tulane and UTSA at Yulman Stadium is scheduled to start at 8:00 PM ET.

• Who: UTSA vs. Tulane
• Date: Saturday, October 24, 2026
• Time: 8:00 PM ET/5:00 PM PT
• Venue: Yulman Stadium

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Conclusion

We predict UTSA, with a 54.6% win probability, will likely beat Tulane 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.