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Big data in football: analytics becomes relevant and enters the pitch

The Chilean soccer team won last week against Peru and today seeks to obtain a new victory against Venezuela, as part of the qualifiers for the Qatar 2022 World Cup. With several dates ahead, the doubts are focused on the search for the new players who will succeed the so-called “golden generation”, a task for the technical director Reynaldo Rued and the national clubs, who are looking for ways to optimize the performance of their squads, where big data in football has much to contribute.

The movie Money ball, starring Brad Pitt, talked about it:

Based on the true story of Billy Beanie, general manager of the Oakland Athletics, he told how he used advanced statistics to sign players. “If we win with this team and with this budget, we will have changed the game forever,” said Brad Pitt, who was the one who personified Beanie in this film. Thanks to a system based on the detailed analysis of the statistics of his players, he obtained a record of victories in the baseball league.

Data and analytics are concepts traditionally linked to industrial processes or business intelligence. However, in recent years they have synergized with statistics, which are common in football, but in a more trivial way and not in the way that they are beginning to do.

 With tactical analysis, as well as the progress and sophistication of data analysis,

The advances allow processing useful information for a team to be more competitive, reaching figures such as “how many passes did a player make on a date or in a championship”. The pioneers in using data in an advanced way are the English clubs. In 2012, Arlene Wegner, former manager of the Arsenal club, became one of the first renowned professionals to start using statistical terms after hiring Staten, an American 해외축구중계 analysis company, which provided a data-driven approach to signing. According to The New York Times, the London team has software that makes it possible to establish not only how many mistakes a player makes, but also how serious they are.

In the same Premier League, the Liverpool club incorporated data analysis,

 after the arrival of Coach Jorgen Clop in 2015, allowing it to improve its figures and once again become a competitive name in international tournaments, winning the Champions League and the World Cup in 2019 of Clubs.

In Europe, success stories are replicated, with predictive models on the performance and injury prevention of its soccer players. Some use smart watches to measure heart rate, while the accelerometer allows to know how the athlete moves, generating heat maps. In addition, with the help of GPS, you can determine distances traveled and speed.

“Today, data is true diamonds in the rough. By analyzing them, teams can profile each of their members and know, for example, who is at their peak performance or how close they are to the point of fatigue. . In addition, you can learn how to improve some techniques and obtain strategic information from the rival team”,

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