The Los Angeles Rams have built a reputation as one of the NFL's most forward-thinking franchises, particularly when it comes to unearthing talent. Their consistent success in finding impact players in the draft's later rounds or undervalued free agents is no accident—it's a product of innovative scouting.

While some of their methods are public knowledge, others are closely guarded secrets. A fascinating new frontier, however, involves leveraging on-field GPS data to gain a deeper understanding of a prospect's true athleticism and in-game performance.

Moving beyond traditional combine metrics like the 40-yard dash, the Rams are reportedly focusing on how players move in live game situations. According to reports, they utilize GPS tracking, computer vision, and AI to analyze critical factors such as how a player navigates through contact, changes direction, and positions themselves on the field. This data-driven approach provides a more complete picture of functional athleticism than timed drills alone.

This methodology isn't entirely new for the organization. As far back as 2017, the Rams used GPS data from the Senior Bowl to evaluate Cooper Kupp's elite route-running efficiency, prioritizing that over his straight-line speed. That analysis proved prophetic, helping them select a future Super Bowl MVP. They applied similar data principles to identify contributors like safety Jordan Fuller and receiver Van Jefferson in subsequent drafts.

While this kind of tracking technology has been available for years, only a handful of teams are reportedly using it to its full potential for scouting. By embracing these advanced analytics, the Rams continue to stay ahead of the curve, turning data into a competitive advantage as they build their roster for the relentless pace of the modern NFL.