Army vs. Louisiana Tech prediction favors Louisiana Tech to win in college football Week 5 [2026]

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

Our independent predictive model gives Louisiana Tech a 51.0% chance of defeating Army. Our predicted final score has Louisiana Tech winning 24-23. According to our model, the 45.5-point over/under has a 55.1% 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: Army -0 (-110) / Louisiana Tech 0 (-110)
• Moneyline: Army -105, Louisiana Tech -109
• Total: Over/Under 45.5 (-114/-109)

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: Louisiana Tech 0 @ -110 via Caesars
• Moneyline: Army @ -105 via DraftKings
• Total: Over 45.5 @ -114 via BetRivers

According to our college football best bets, the top play to make on this game is Over 45.5 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 Louisiana Tech and Army at Joe Aillet Stadium is scheduled to commence at 7:30 PM ET.

• Who: Army vs. Louisiana Tech
• Date: Saturday, October 3, 2026
• Time: 7:30 PM ET/4:30PM PT
• Venue: Joe Aillet Stadium

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Conclusion

We predict Louisiana Tech, with a 51.0% win probability, will likely beat Army 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.