UTSA vs. Texas prediction: Why Texas is favored to win in college football Week 3 [2026]

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

Our independent predictive model gives Texas a 98.4% chance of defeating UTSA. Our predicted final score has Texas winning 44-13. According to our model, Texas (-30.5) has a 50.6% chance of covering the spread, while the 58.5-point over/under has a 51.2% chance of staying under.

Latest betting odds

We have sourced the best college football odds in America for this game, which are listed here:

• Spread: UTSA +30.5 (-110) / Texas -30.5 (-102)
• Moneyline: UTSA +2200, Texas -5000
• Total: Over/Under 58.5 (-105/-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: Texas -30.5 @ -102 via FanDuel
• Moneyline: Texas @ -5000 via bet365
• Total: Under 58.5 @ -110 via DraftKings

According to our best college football bets, the top play to make on this game is Texas 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 Texas and UTSA at DKR-Texas Memorial Stadium is scheduled to commence at 8:00 PM ET.

• Who: UTSA vs. Texas
• Date: Saturday, September 19, 2026
• Time: 8:00 PM ET/5:00PM PT
• Venue: DKR-Texas Memorial Stadium

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Conclusion

We predict Texas, with a 98.4% win probability, will likely beat UTSA 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.