Aerial view of soccer players kicking ball on field

AI kicks it up a notch.

WITH 8-figure contracts, recruiting is a high-stakes game.

Team of soccer players lined up wearing jerseys

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.

Robot jumping in air and kicking soccer ball

SciSports Facts & Figures

1

Online platform with data from 244 leagues across the globe

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.

Silhouette of a sports fan cheering in a crowd

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

AI is in the game to stay.

The game of soccer is quickly evolving. Directors, managers, analysts and scouts can no longer rely on just what they see or gut feelings. SciSports provides the data intelligence to understand soccer better. And with the ability to deploy deep learning models in memory onto cameras, and then do the inferencing in real time, cutting-edge science will rapidly change the future of sports analytics.

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