Texas-El Paso vs. Michigan prediction: Why Michigan is favored to win in college football Week 3 [2026]

Using innovative machine learning and statistical analysis, we have re-simulated the outcome of Texas-El Paso vs. Michigan, forming part of our college football predictions coverage.

Our independent predictive model gives Michigan a 99.4% chance of defeating Texas-El Paso. Our predicted final score has Michigan winning 42-6. According to our model, Michigan (-34.5) has a 55.2% chance of covering the spread, while the over/under total of 48.5 points has a 51.0% chance of going over.

Latest betting odds

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

• Spread: Texas-El Paso +34.5 (-104) / Michigan -34.5 (-114)
• Moneyline: Texas-El Paso , Michigan

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:

• Moneyline: Over @ -110 via DraftKings

According to our best college football bets, the top play to make on this game is Michigan -34.5.

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 Michigan and Texas-El Paso at Michigan Stadium is scheduled to start at 3:30 PM ET.

• Who: Texas-El Paso vs. Michigan
• Date: Saturday, September 19, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Michigan Stadium

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Conclusion

We predict Michigan, with a 99.4% win probability, will likely beat Texas-El Paso 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.