The collaborative efforts of AWS and the NFL have culminated in machine-learning models that furnish data in three pivotal areas of gameplay. Firstly, AI has been trained to identify blockers and pass rushers in passing plays. Secondly, the tool has been equipped with the ability to quantify “pressure” during a game. Lastly, a process has been developed to detect individual blocker-rusher matchups. This AI-tracking technology empowers professionals in the football league with invaluable player statistics that can aid scouts and coaches in selecting new players. For instance, understanding which player effectively blocked or resisted a rusher can inform decisions about their suitability for an offensive lineup.
