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

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

Our famous predictive model currently gives Texas A&M an 84.3% chance of defeating Arkansas. Our predicted final score has Texas A&M winning 31-18. According to our model, Arkansas (+13.5) has a 51.8% chance of covering the spread, while the 50.5-point over/under has a 51.3% 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: Arkansas +13.5 (+100) / Texas A&M -13.5 (-117)
• Moneyline: Arkansas +480, Texas A&M -625
• Total: Over/Under 50.5 (-106/-110)

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 @ +100 via bet365
• Moneyline: Arkansas @ +480 via FanDuel
• Total: Over 50.5 @ -106 via FanDuel

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 matchup between Texas A&M and Arkansas at Kyle Field is scheduled to begin 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 84.3% 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.