Louisiana Tech vs. LSU prediction favors LSU to win in college football Week 2 [2026]

Using trusted machine learning and data, we have re-simulated the outcome of Louisiana Tech vs. LSU, forming part of our college football predictions coverage.

Our leading predictive model currently gives LSU a 99.0% chance of beating Louisiana Tech. Our predicted final score has LSU winning 44-10. According to our model, Louisiana Tech (+35.5) has a 55.5% chance of covering the spread, while the 55.5-point over/under has a 52.5% 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: Louisiana Tech +35.5 (-115) / LSU -35.5 (-105)
• Moneyline: Louisiana Tech +3500, LSU -20000
• Total: Over/Under 55.5 (-109/-110)

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:

• Spread: Louisiana Tech +35.5 @ -115 via bet365
• Moneyline: LSU @ -20000 via DraftKings
• Total: Under 55.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Louisiana Tech +35.5 at the spread.

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 LSU and Louisiana Tech at Tiger Stadium is scheduled to start at 7:30 PM ET.

• Who: Louisiana Tech vs. LSU
• Date: Saturday, September 12, 2026
• Time: 7:30 PM ET/4:30PM PT
• Venue: Tiger Stadium

College football Week 2 promos

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Conclusion

We predict LSU, with a 99.0% 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.