Kentucky vs. Texas A&M prediction: Why Texas A&M is favored to win in college football Week 3 [2026]

Using powerful machine learning and data, we have re-simulated the outcome of Kentucky vs. Texas A&M, forming part of our college football predictions coverage.

Our leading predictive model currently gives Texas A&M an 88.9% chance of defeating Kentucky. Our predicted final score has Texas A&M winning 34-17. According to our model, Texas A&M (-16.5) has a 52.0% chance of covering the spread, while the over/under total of 49.5 points has a 53.6% 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: Kentucky +16.5 (+101) / Texas A&M -16.5 (-120)
• Moneyline: Kentucky +680, Texas A&M -850
• Total: Over/Under 49.5 (-110/-104)

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 available 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: Kentucky +16.5 @ +101 via Caesars
• Moneyline: Texas A&M @ -850 via DraftKings
• Total: Over 49.5 @ -110 via bet365

According to our best college football bets, the top play to make on this game is Over 49.5 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 Texas A&M and Kentucky at Kyle Field is scheduled to begin at 3:30 PM ET.

• Who: Kentucky vs. Texas A&M
• Date: Saturday, September 19, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Kyle Field

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Conclusion

We predict Texas A&M, with an 88.9% win probability, will likely beat Kentucky 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.