AI kicks it up a notch.
WITH 8-figure contracts, recruiting is a high-stakes game.
Every week, more than 2,000 matches in 244 leagues are analyzed.
SciSports, partnering with SAS, uses AI solutions to calculate the talent and value of more than 90,000 soccer players, helping clubs identify rising stars, undervalued players and opponents.
Real-time 3D game analysis catches everything.
BallJames, a system developed by SciSports in cooperation with SAS, uses multiple high-resolution cameras and advanced deep learning and computer vision technologies, to generate accurate on-the-pitch data. Giving clubs, coaches, managers and fans a more complete picture of the game.
SciSports Facts & Figures
90,000
Active players analyzed in SciSkill index every week
14
Cameras around the pitch track all player movement in real-time and in 3D
How do you use AI to find the world's next soccer star?
SciSports tracks on-field movements using machine learning algorithms that learn with experience. Values are assigned to each position and change over time based on their success rate. A goal, for example, has a high value, but a contributing action can become more valuable as the platform masters the game. AI makes it possible to discover new connections and spot rising stars.
Our ambition is to bring real-time data analytics to billions of soccer fans all over the world. By partnering with SAS, we can make that happen.
–Giels Brouwer, Founder and CEO of SciSports