Louisiana Tech vs. Troy prediction: Why Louisiana Tech is favored to win in college football Week 10 [2026]

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

Our independent predictive model currently gives Louisiana Tech a 66.8% chance of defeating Troy. Our predicted final score has Louisiana Tech winning 27-21. According to our model, Troy (+6.5) has a 51.4% chance of covering the spread, while the 47.5-point over/under has a 52.7% 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 -6.5 (+100) / Troy +6.5 (-104)
• Moneyline: Louisiana Tech -208, Troy +203
• Total: Over/Under 47.5 (-107/-108)

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: Troy +6.5 @ 51¢ via Novig
• Moneyline: Troy @ 33¢ via Novig
• Total: Over 47.5 @ -107 via BetRivers

According to our college football best bets, the top play to make on this game is Over 47.5 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 action between Troy and Louisiana Tech at Veterans Memorial Stadium is scheduled to commence at 4:00 PM ET.

• Who: Louisiana Tech vs. Troy
• Date: Saturday, November 7, 2026
• Time: 4:00 PM ET/1:00 PM PT
• Venue: Veterans Memorial Stadium

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Conclusion

We predict Louisiana Tech, with a 66.8% win probability, will likely beat Troy 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.