Football, Kama.Sport software created by 3 Brescian boys has made you discover Kvaratskhelia- Corriere.it

Football, Kama.Sport software created by 3 Brescian boys has made you discover Kvaratskhelia- Corriere.it

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from Lorenzo Nicolao

The Kama.Sport platform identifies future talents through technical-tactical analysis. An instrument used not only by Spalletti, but also by Italian, Mazzarri and De Zerbi

Between sport and technology there is an increasingly close link, especially from the point of view of the collection of data and statistics, but the contribution of new tools to sporting performance is still largely to be tested. However, if software hides behind the successes of Luciano Spalletti’s Napoli, but also of other leading coaches such as Ancelotti, Benitez, Vincenzo Italiano, Walter Mazzarri and Roberto De Zerbi, in a very small part there is a software, certainly the theme deserves much more. Attention.

Kama.Sport, startup which has just raised a capital increase of over one million euros, applies data science to the world of football in the technical-tactical analysis of a match, in the definition of the game strategy and above all in the identification of new talents to promote to the inside their scouting campaigns. Maybe it was the team of 22 people who make up the innovative company founded in 2019 by three young Brescians under 30 (Carlo Bertelli, Davide Ragazzi and Nicola Bosio) to fish, among many footballers, the neo-Neapolitans Kim Min-Jae and Khvicha Kvaratskhelia
? These foreign talents up to now have had a very significant impact on Napoli’s performances this season and could be largely the result of the work done by a project like Kama.Sport. In less than a year we have multiplied our value by more than seven times, from 2.5 to 21 million euros, establishing ourselves as a revelation in the sport-tech sector – said the founders -. We immediately believed in it, because sport is increasingly linked to knowledge of this type, data science, algorithms and Artificial Intelligence.

Tech support

From Spalletti’s Naples (with the platform introduced even from the time of Carlo Ancelotti, thanks to the suggestion of his son Davide), to Sassuolo di Dionisi, until the Cagliari of Mazzarriat Brescia’s Filippo Inzaghi, there are many football realities that have made and still rely on the technological tool created by this startup. The Kama.Sport team made up of computer scientists, developers, engineers, mathematicians, statisticians and even designers, a composite team that puts its knowledge into the field to document and classify every aspect of a football match, especially actions and performance of individual players. A kind of Trivago or Skyscanner for football, which evaluates the players of at least 70 different leagues. These indicators help the staff of the football teams to set up the training work, from athletic to tactical preparation, which can be customized according to the time of year, recent performances and individual matches to be played in the rest of the season. Basically, Artificial Intelligence is used to understand how to beat the opponent explain the three guys who with this project have been included among the best Italian talents under 30 by the prestigious Forbes magazine.

Word of mouth

The coaches ask the clubs to be able to use our program and we take care to provide all the support they require, according to the working method they want to use. We are happy that, even after a few exemptions, these teams have continued to use our software. If the future is to expand also to the media and the world of betting, always through the considerable amount of data collected day by day, from Kama.Sport make it known for, that as promoters of digital, in marketing things work as they once were. The reason for so much success among the coaches? Word of mouth. If a club is doing well and the team improves in play and performance, also bringing home important results, then it is easy for other technicians to ask their respective clubs to contact us. There is no other guarantee to certify our work.

November 12, 2022 (change November 12, 2022 | 21:32)

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