The NFL uses AWS machine learning and data analytics services boost the accuracy, speed, and insights for Next Gen Stats and Player Health and Safety.

'Prime Vision with Next Gen Stats' Next Gen Stats powered by AWS provide a wealth of insights through the real time data-capture of location, speed, and acceleration for every player on the field. Sensors throughout the stadium track tags concealed within each player's shoulder pads.

With the 2020 football season kicking off, Amazon Web Services (AWS) is continuing its work with the National Football League (NFL) on several ongoing game-changing initiatives.

Through a partnership with Amazon Web Services called Next Gen Stats, the NFL is hoping that intelligent algorithms, with the help of high-tech data collection tools, will be able to extract meaningful data from games and decipher patterns in player performances.

Since 2002, the NFL has changed over 50 rules to improve player safety. They include prohibiting players from lowering their heads to make contact with their helmets, stopping defenders from needlessly tackling and landing on quarterbacks and reducing big collisions on kickoff returns.

NFL on Prime Video is the branding used for broadcasts of National Football League (NFL) games on the subscription video on-demand over-the-top streaming and rental service Amazon Prime Video and on sister service Twitch as part of Prime Video Sports.

The tracking system captures player data such as location, speed, distance traveled and acceleration at a rate of 10 times per second, and charts individual movements within inches.

Next Gen Stats and AWS team up to quantify pressure What started with new stats like completion probability and expected rushing yards evolved into a library of advanced stats that span defensive coverages, fourth-down decisions and even the return game. The 2023 offseason was no different.

Performance Analytics for Sports on AWS. Use performance analytics to monitor athlete health and safety, win on the field and during scouting and recruiting, and impact how a sport is officiated. Leverage your data to create new innovations and drive efficiencies around athlete performance, health, and safety.

NFL API Documentation. All of our API endpoints can be accessed via an HTTP GET request using your API key.

Over time, the application of AI technology in the NFL has evolved significantly, thanks to advances in machine learning, computer vision, and big data analytics. Today, teams use AI for a wide range of purposes, including player safety, injury prevention, game strategy, and fan engagement.

However, AI is being used to mitigate the risk of player injuries. Teams are now using wearable technology to track player movement and collect data on their physical exertion during games and practices. This data is then analyzed by AI algorithms to identify patterns that could lead to injury.