East Texas A&M vs. Tulsa prediction: Why Tulsa is favored to win in college football Week 3 [2026]

Using trusted machine learning and statistical analysis, we have re-simulated the outcome of East Texas A&M vs. Tulsa, forming part of our college football predictions coverage.

Our famous predictive model currently gives Tulsa a 99.5% chance of beating East Texas A&M. Our predicted final score has Tulsa winning 48-7. According to our model, East Texas A&M (+42.5) has a 56.3% chance of covering the spread, while the 56.5-point over/under has a 51.3% chance of staying under.

Latest betting odds

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

• Spread: East Texas A&M +42.5 (-110) / Tulsa -42.5 (-110)
• Moneyline: East Texas A&M , Tulsa

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 @ -106 via FanDuel

According to our college football best bets, the top play to make on this game is East Texas A&M +42.5.

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 Tulsa and East Texas A&M at Skelly Field at H.A. Chapman Stadium is scheduled to start at 8:00 PM ET.

• Who: East Texas A&M vs. Tulsa
• Date: Saturday, September 19, 2026
• Time: 8:00 PM ET/5:00PM PT
• Venue: Skelly Field at H.A. Chapman Stadium

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Conclusion

We predict Tulsa, with a 99.5% win probability, will likely beat East Texas A&M 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.