“Spanish football is still not even on the starting ramp with ‘Big Data'”

His first experience as an analyst was at UCD Bur lades in the Third Division. And after completing various training courses focused on this area, he completed a Master’s Degree in Sports ‘Big Data’ from the UCAM (San Antonio de Murcia Catholic University) and Optic Sports. In the 2020/21 season, he made the leap to the elite as a data analyst and coach for the Sports Department of the Cadiz CF first team. He later became part of the Ebor Sports Society. Today he is responsible for Data Analysis of the Gipuzkoan team.

At the same time, he also acts as academic director in the Master’s Degree in ‘Big Data’ applied to Scouting, promoted by Sports Data Campus and the UCAM in collaboration with the Seville FC Innovation Center. He even participates in numerous events with the intention of showing the importance of the use of ‘Big Data’ in nba중계. Precisely, this month of February he has given several talks in Pamplona. The last one was last week at the University of Navarra, together with the ex-soccer player and sports director of SD Embark, César Palacios.

How did the Ember opportunity come about?

It was at the beginning of the season. It is a club that was relegated last season and now has the challenge of returning to the First Division. César Palacios (sports director) and Archaize Alhambra (technical secretary) wanted to bet on data analytics, I found it very interesting and decided to embark on that adventure. I identify my role as helping different areas that are important for the work group I’m in.2. How much data can be generated during a football match?

Around eight million. A platform called Media Coach is used, which Lilia provides to the clubs when the match ends. It collects a multitude of variables that are measured during the game. Here I emphasize that it is important to have the figure of an analyst who knows how to translate that data and transform it so that the team obtains the best competitive advantage.

What do you do with that data?

The process I’m trying to apply is ultimately to translate the data in a way that makes sense to that team. Being at Eibar is not the same as being at Villarreal or Valencia . Therefore, each club must have its own data model adjusted to its type of game, also with its general parts.

What data do you consider most important?

It depends a lot on each club. For example, you can see where the rival team attacks the most, the areas where they usually shoot, or analyze the status of the squad and the rival team. But these changes depending on the model of the team and the moment it is going through during the season.