AutoStats collects comprehensive tracking data from any basketball game through remote video sources, vastly expanding the data available to be collected for performance analysis and truly scalable scouting efforts. It’s already transforming the draft process for one NBA team.
With AutoStats, AI-enhanced body recognition technology uses remote video sources to fluidly identify player position and granular movement across the entirety of the court without the need for in-venue technology.
Looking to gather more objective data to make the most informed player decisions, the Orlando Magic turned to Stats Perform for a revolutionary solution. See how the Magic are leveraging AI for scouting and player recruitment.
Computer vision has unlocked a new level of extractable detail from video. Listen to Stats Perform Director Of Computer Vision Sujoy Ganguly as he discusses its impact on player-tracking technologies at the MIT Sloan Sports Analytics Conference.
Hardware requirements have traditionally limited player-tracking capabilities. By analysing remote video, AutoStats can unlock new insights and important team performance data that typically isn’t available outside of the NBA.
Our historical tracking archive for the ACC, Big 12, Big East, Big 10, Pac-12, and SEC unlocks a massive dataset for teams when evaluating NCAA talent.
Learn more about AI-powered player-tracking technology.
