Louisiana Tech vs. Baylor prediction favors Baylor to win in college football Week 3 [2026]

Using innovative machine learning and data analysis, we have re-simulated the result of Louisiana Tech vs. Baylor, forming part of our college football predictions coverage.

Our leading predictive model currently gives Baylor a 92.8% chance of beating Louisiana Tech. Our predicted final score has Baylor winning 35-15. According to our model, Baylor (-19.5) has a 51.5% chance of covering the spread, while the over/under total of 50.5 points has a 52.1% 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: Louisiana Tech +19.5 (-105) / Baylor -19.5 (-109)
• Moneyline: Louisiana Tech +860, Baylor -1250
• Total: Over/Under 50.5 (-107/-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 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:

• Spread: Baylor -19.5 @ -109 via Caesars
• Moneyline: Baylor @ -1250 via BetRivers
• Total: Over 50.5 @ -107 via Caesars

According to our college football best bets, the top play to make on this game is Over 50.5 total points.

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 Baylor and Louisiana Tech at McLane Stadium is scheduled to begin at 4:00 PM ET.

• Who: Louisiana Tech vs. Baylor
• Date: Saturday, September 19, 2026
• Time: 4:00 PM ET/1:00PM PT
• Venue: McLane Stadium

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Conclusion

We predict Baylor, with a 92.8% win probability, will likely beat Louisiana Tech 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.