10
Loading video...
By Reice Shipley
Contributing Sports Writer
0
Share
Newsweek is a Trust Project member
See more of our trusted coverage when you search.Prefer Newsweek on Googleto see more of our trusted coverage when you search.
The Texas A&M Aggies struggles in conference play continued on Saturday, losing their fifth game of the season against the South Carolina Gamecocks.
Unfortunately, their struggles this season have finally caught up to them on the recruiting trail.
Back in May, Texas A&M landed one of the most highly sought after recruits in the entire 2027 high school class in Mark Matthews, the No. 3 ranked high school recruit in the 247 Sports 2027 High School recruiting rankings.
Read More on NCAA
However, following the Aggies most recent loss, it seems that Matthews is less sold on starting his collegiate career in College Station.

...
More news: Colorado State Player Restrained During Heated Sideline Incident With Coach
Just one day after the loss to South Carolina, Tom Loy of 247 Sports reported in a post on X that Matthews has decommitted from Texas A&M. According to Loy, the Miami Hurricanes are a team that has been "trending behind the scenes" as a potential landing spot for Matthews.
More news: Michigan HC Kyle Whittingham Doesn’t Hold Back After Ugly Michigan State Loss
It's unclear just how big of a role Texas A&M's loss to South Carolina players in Matthews decision. But at the very least, it's hard to imagine that the lack of results for the Aggies this season hasn't at least factored into this move from Matthews in some way.
If things continue to go downhill for the Aggies down the stretch of the 2026 college football season, it certainly seems plausible that other commits could follow suit with Matthews and look for a more promising situation.
With that in mind, Texas A&M head coach Mike Elko will look to get his team back on track in Week 11 when they return home for another tough test against the No. 13 ranked Tennessee Volunteers.
View 0 Comments
Submit Correction
View Editorial & AI Guidelines