The world of football has seen the inclusion of technologies like VAR that help referees make the right decisions. However, on the part of managers and coaches, big data has become one of their best new allies.
New technologies shine in the Premier League
For many years English football has emerged as one of the most important and innovative sports competitions in the world, so implementing new technologies is part of its daily life. Among them we can find big data as one of Those new technologies that are applied to footballBecause it allows us to properly use all the statistical data and measurements that can be obtained on the field of play, with the aim of improving the performance of clubs and players.
At the start of the year, the news that the City Group, the owner of Manchester City, had hired a team of astrophysicists to join Pep Guardiola’s working group and the other strategists in the conglomerate, attracted great attention. Among the main functions of these football scientists is the detailed analysis of game procedures and all the data obtained using big data tools, with the possibility of testing the tactical concepts of coaches through simulations and becoming a key player in decision-making.
Key strategists in decision making and big data
Despite the fact that this season is in its final moments and that Pep Guardiola’s club is the leader of this and all of the competitions he is involved in, decision-making based on big data has already given prominence this season. CitySense Until next year. This is because Manchester City is already in between Favorites for sports betting To win the 2021-22 edition of the English Premier League, by -138 until May 10, and his closest competitor for next year in particular is Chelsea, their 2021 UEFA Champions League final rivals, with ratings of +450.
It should be noted that Manchester City is not the only team in the Premier League that has used big data in research to improve its performance on the field. The curious fact is that coach Juergen Klopp arrived in Liverpool in 2015 because the team’s director of analysis, Ian Graham, directed the English management towards the German strategist after analyzing the results Klopp had obtained in previous seasons. With all the accomplishments accomplished by a group Reds Obtained later, the decision based on statistical analysis and big data was more than justified.
Big data and predictions in Mexican football
Recruitment within Mexican football already includes advanced tools like big data to reach new numbers, as he did America with the arrival of Uruguay Federico Vinas From analyzing the sports stats of this player.
The club’s performance has improved significantly this season, and this has appeared in the main matches such as the draw between America and Cruz Azul, which we relied on in the draw or win options for the heavenly team, or in Pumas - America, where our choice was tilted towards the group of cats, but the Eagles came out in victory to occupy Second place in the general ranking.
Finally, it is worth talking about Rayados de Monterrey, who was our favorite in their match against San Luis in Round 13 and fulfilled our expectations. In this case, those led by Basque Aguirre features a dedicated Sports Intelligence section, which monitors players ‘performance at every training session using Big Data, with the clear goal of improving footballers’ performance on the field.
# Stories of greatness
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📹 | https://t.co/UkNCP72ELr# Sumusamerica pic.twitter.com/0JFinD9tz9ClubAmerica 14th September 2020
Football has more and more tools to help coaches and club managers make better decisions. In this way, big data is pioneered in analyzing players and even in predicting their performance match-to-game.
