Sensors in soccer

Real-time analysis of soccer players' performance and the course of play using cost-effective sensors and machine learning to detect speeds, actions and events for trainers and players.

Sensors in soccer

At a glance

© Next11 Technologies

In sport and in soccer especially, interest in analysis and analysis techniques is constantly growing. In the professional leagues, games and players' performance are analyzed in a variety of different ways. And new rules now permit digital assistance in the coaching zone. In conjunction with real-time positioning systems, wearable technology for the players can already supply a variety of data automatically during the course of play. Given that such systems are relatively expensive and time-consuming to install, however, only the top clubs use them.

As part of the Eurostars project iBall-R2 (funded by the Federal Ministry of Education and Research BMBF), Fraunhofer IIS and its partners - NEXT11 Technologies ApS, Select Sports A/s and MING Labs GmbH - developed a cost-effective system that enables coaches and players in amateur clubs to analyze their training and game performance and to work on improving specific aspects of their game. They developed a small, lightweight sensor module and in close collaboration with the manufacturer, Select Sports A/s, integrated it into a professional soccer ball in such a way that the sensor did not impair the ball's flight characteristics. The players are given a wearable device, which, like the ball module, can measure acceleration, turns and magnetic fields and transmit the data to a central device, such as a tablet, via Bluetooth. Using an app, the coach and/or players can subsequently view the results of the analysis.

© BMBF
© Eurostars
© Eurostars

Technical advantages

  • Affordable for all
    • Cost-effective system for analyzing sport during training and the game itself
    • Low, if any, installation costs
  • Recording and analysis of movements, speeds and actions to track players' fitness
  • Recognition and analysis of match events, notably shots, passes and ball possession
  • Can be connected to positioning systems

Components

  • Tag ID
  • time stamp
  • battery status
  • states and actions

© Select
  • Bluetooth communication according to the latest standards
  • Interface for wireless charging
  • Sensors for measuring accelerations, rotation rates, magnetic fields and air pressure
  • Software for preprocessing the measured data

© MING Labs

 

  • System administration and configuration
  • Processing software that uses machine learning methods
  • Analysis software for players' fitness, match events ans course of play; analyzes individual players and the whole team