Southern University vs. Houston prediction favors Houston to win in college football Week 2 [2026]

Using powerful machine learning and statistical analysis, we have re-simulated the result of Southern University vs. Houston, forming part of our college football predictions coverage.

Our independent predictive model currently gives Houston a 99.9% chance of beating Southern University. Our predicted final score has Houston winning 55-4. According to our model, Southern University (+53) has a 58.9% chance of covering the spread, while the over/under total of 61.5 points has a 53.6% 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: Southern University +53 (-110) / Houston -53 (-110)
• Moneyline: Southern University , Houston

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 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:

• Moneyline: Under @ -110 via ESPN BET

According to our college football best bets, the top play to make on this game is Southern University +53.

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 action between Houston and Southern University at TDECU Stadium is scheduled to start at 7:00 PM ET.

• Who: Southern University vs. Houston
• Date: Saturday, September 12, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: TDECU Stadium

College football Week 2 promos

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Conclusion

We predict Houston, with a 99.9% win probability, will likely beat Southern University 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.