Which Aggies should you watch during NFL Week 1?
NFL Week 1 features Myles Garrett and Mike Evans in Australia, KC Concepcion’s debut and several other notable Aggies.
Texas A&M football players will be featured in several NFL matchups during Week 1 of the season. Myles Garrett, the Los Angeles Rams' defensive end, is set to make his debut in the team's first regular-season game in Australia after recording 23 sacks last season. Myles' performance will be closely watched, especially considering his knee swelling issue that was recently addressed.
In another high-profile debut, former Texas A&M receiver KC Concepcion will take the field for the Cleveland Browns against the Jacksonville Jaguars. The No. 24 overall pick entered Week 1 as one of the Browns' starting receivers, having briefly dealt with a shoulder issue that he returned from during practice.
Former Texas A&M linebacker De'Von Achane is expected to have a significant impact with the Miami Dolphins, who are making him the focal point of their new offense. Achane's 1,350 rushing yards and 12 touchdowns last season make him a formidable opponent for the Raiders.
Von Miller, a Texas A&M alumnus and NFL career sacks leader, will make his debut with the Dallas Cowboys against the New York Giants. Miller recorded nine sacks last season and remains a key defensive player for the Cowboys.
Green Bay Packers linebacker Edgerrin Cooper will also face his NFL debut, with Green Bay experimenting with using him both at linebacker and on the edge. His pass-rush opportunities against the Minnesota Vikings will be closely monitored.
Rookie defensive end Cashius Howell and tight end Nate Boerkircher, both selected by the Cincinnati Bengals and Jacksonville Jaguars respectively, will also be making their NFL debuts. Howell will likely be part of the Bengals' defensive rotation, while Boerkircher is expected to contribute primarily as a blocker in multiple-tight-end formations.
Written by urgent.news from Yahoo Sports's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.