Derrick Brown, a former Auburn All-American, has made his mark in the NFL, landing in the 'NFL Top 100' for the first time. This achievement is a testament to his hard work and dedication, as he set an NFL record for tackles in 2023 and ranked second among interior linemen in 2025. However, his journey has not been without challenges. In 2024, a knee injury sidelined him for most of the season, highlighting the physical demands of the sport. Despite this setback, Brown's return in 2025 was a triumph, as he recorded 73 tackles and made a career-high five sacks, contributing to the Panthers' playoff run. This resurgence has earned him a well-deserved spot in the 'NFL Top 100'.
What makes Brown's achievement even more remarkable is his connection to the state of Alabama. As an Alabama high school or college graduate, he joins the ranks of other talented athletes from the state, such as Carolina quarterback Bryce Young, who also made the 'NFL Top 100' in 2026. This trend of Alabama athletes excelling in the NFL is a testament to the state's rich athletic heritage and the quality of its educational institutions.
The 'NFL Top 100' poll is a highly anticipated event, revealing the league's top players through a countdown on the social-media platform X. The countdown, which began last week, will continue until August 21, with the top 10 players being revealed in a special countdown from August 24 to September 4. This process adds an element of excitement and anticipation to the NFL season, as fans eagerly await the recognition of their favorite players.
Inabinett's coverage of players with Alabama football roots in the NFL is a testament to his longevity and expertise in the field. With over 40 years of experience, Inabinett has witnessed the rise of many talented athletes, including Brown, and his insights provide a valuable perspective on the NFL landscape. As the NFL continues to evolve, Inabinett's coverage will remain a trusted source for fans and analysts alike, offering a unique blend of historical context and contemporary analysis.
