Artificial Intelligence To Select Virtuoso Football Players
22 November 2019 05:42, UTC
The company has been working in this field since 2016, and Il Sassuolo intends to use machine learning and artificial intelligence algorithms developed by Wallabies, with the aim of a scientific approach to finding promising football players and monitoring their progress on the football field. This technique is planned to be applied not only in Italy, but at a global level.
Luigi LIBROIA, managing director of Wallabies, said that the signed agreement creates such a scientific approach in the field of professional sports for the first time in world practice. Wallabies intends to use a system of algorithms to analyze a huge mass of data in a short period of time. This marks a fundamentally new approach: currently efforts are aimed at finding new players, while the Italian startup intends to focus on a comprehensive analysis of the player himself.
01-02-2019 14:10:36 | Technology
Wallabies takes a robotic approach to the selection of candidates for Series A, as its equipment allows to watch 8 thousand matches a year, marking and analyzing each specific player’s step. Wallabies analysis is based on 7 thousand variables for each player in each match and allows monitoring about 40 thousand players in 25 different sports leagues.