Troy vs. Missouri prediction: Why Missouri is favored to win in college football Week 3 [2026]

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

Our independent predictive model currently gives Missouri a 97.7% chance of defeating Troy. Our predicted final score has Missouri winning 39-12. According to our model, Troy (+27.5) has a 51.6% chance of covering the spread, while the over/under total of 50.5 points has a 52.3% chance of going over.

Latest betting odds

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

• Spread: Troy +27.5 (-114) / Missouri -27.5 (-105)
• Moneyline: Troy +1800, Missouri -4500
• Total: Over/Under 50.5 (-106/-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 +27.5 @ -114 via Caesars
• Moneyline: Missouri @ -4500 via DraftKings
• Total: Over 50.5 @ -106 via FanDuel

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 matchup between Missouri and Troy at Memorial Stadium/Faurot Field is scheduled to start at 7:00 PM ET.

• Who: Troy vs. Missouri
• Date: Saturday, September 19, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Memorial Stadium/Faurot Field

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Conclusion

We predict Missouri, with a 97.7% 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.