Arkansas vs. Texas A&M prediction: Why Texas A&M is favored to win in college football Week 5 [2026]

Using powerful machine learning and statistical analysis, we have re-simulated the result of Arkansas vs. Texas A&M, forming part of our college football predictions coverage.

Our famous predictive model currently gives Texas A&M an 83.2% chance of beating Arkansas. Our predicted final score has Texas A&M winning 32-19. According to our model, Arkansas (+13.5) has a 51.8% chance of covering the spread, while the over/under total of 50.5 points has a 51.3% 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: Arkansas +13.5 (-108) / Texas A&M -13.5 (-110)
• Moneyline: Arkansas +440, Texas A&M -575
• Total: Over/Under 50.5 (-110/-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: Arkansas +13.5 @ -108 via BetRivers
• Moneyline: Arkansas @ +440 via DraftKings
• Total: Over 50.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Arkansas +13.5 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 game between Texas A&M and Arkansas at Kyle Field is scheduled to commence at 7:00 PM ET.

• Who: Arkansas vs. Texas A&M
• Date: Saturday, October 3, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Kyle Field

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Conclusion

We predict Texas A&M, with an 83.2% win probability, will likely beat Arkansas 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.