AI Is Changing Soccer Analysis — How We Watch The Game Could Be Next
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Players from Wisła Kraków, a Polish second-division club, celebrate an unlikely Polish Cup win in … More 2024. The team credit in-depth data analysis for the against-the-odds triumph. (Photo by Foto Olimpik/NurPhoto via Getty Images) NurPhoto via Getty Images A few years ago, the highly-respected head coach at one of Europe’s top soccer clubs had a problem he couldn’t fix with words alone. The coach, then in charge of one of the finalists in this season’s men’s Champions League, was meticulous about how his defenders should scan for danger. He wanted their heads, shoulders and hips perfectly positioned to anticipate attacking threats. One central defender wasn’t getting it. He was struggling to grasp his coach’s instructions. The solution the coach turned to wasn’t extra drills. It was data. In one-on-one sessions, he used AI-powered 3D technology to show the defender precisely how his posture was off. In real time, to the naked eye, it was barely noticeable. But the coach insisted fixing it could gain valuable milliseconds to cut out danger. The player improved. Shortly after, he was a key member of the first-team squad. The technology came from ReSpo.Vision, a “deep tech” startup based in Warsaw, Poland. The company believes AI tracking and visualisation can transform not only how teams and broadcasters analyze matches — but also how viewers understand and experience the sport. A New Layer of Insight ReSpo’s technology uses computer vision and deep learning to extract 3D tracking data from single-camera video feeds, like TV broadcasts. The system detects more than 50 body points per player with centimeter-level accuracy, without the need for wearable technology or expensive camera setups. Paweł Ośtęrreicher, a self-described “sports nerd,” founded ReSpo in 2021. A former management consultant, he had previously used computer vision to optimize industrial assembly lines. “The first…
Filed under: News - @ June 10, 2025 10:29 am