AI kicks it up a notch.
WITH 8-figure contracts, recruiting is a high-stakes game.
Every week, more than 1,500 matches in 210 leagues are analyzed.
SciSports uses AI solutions from SAS to calculate the talent and value of more than 200,000 soccer players, helping clubs identify rising stars, undervalued players and opponents.
Real-time 3D game analysis catches everything.
Fourteen cameras placed around the stadium record every movement on the field – from precision of passing to jumping strength – giving SciSports a complete picture of talent.
SciSports Facts & Figures
200,000
Players analyzed in SciSkill Index
14
Cameras around the pitch for real-time analysis
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