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AI-Powered Basketball Player-Tracking Technology

AutoSTATS collects comprehensive tracking data from any basketball game through any television broadcast, 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.

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The First Broadcast-Based Player-Tracking Solution

With AutoSTATS, AI-enhanced body recognition technology uses broadcast video to fluidly identify player position and granular movement across the entirety of the court without the need for in-venue technology.

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AutoSTATS Player-Tracking Technology (01:27)

AutoSTATS and the NBA

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.

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AI, Computer Vision and the Future of Player-Tracking Data

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.

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Sujoy Ganguly at MIT Sloan Sports Analytics Conference (04:19)

Deep College Basketball Tracking Data for the First Time Ever

Hardware requirements have traditionally limited player-tracking capabilities. By analysing broadcast 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.

Get Deeper Player-Tracking Insights

Learn more about AI-powered player-tracking technology.

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