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Monday, September 23, 2024

AI contributes to player selection for Spanish professional soccer team

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scout advisor

Scout Advisor is built from IBM’s AI and data platform called watsonx. Photo: IBM

As artificial intelligence makes its way into sport, Sevilla are jumping at the opportunity with their scouting advisors. The program will analyze large amounts of data already existing in Sevilla’s database, including evaluations of potential recruits. The information includes qualitative data such as a player’s height and weight, speed, number of goals, and match duration. The scouting advisor can evaluate his over 200,000 reports on players already in Sevilla’s database.

Scout Advisor then looks for trends in existing scouting reports. The accuracy and effectiveness of player identification can be increased, allowing teams to know whether information about a player has proven to be relevant. IBM and Seville agree that this approach is less time-consuming and considers more factors than an eye test.

After all, human observation and manual data entry/analysis are time consuming. IBM and Sevilla believe that Scout Advisor opens up new factors that people don’t or can’t consider. Many multi-million dollar contracts rely heavily on uncertainty, as teams can’t tell just by looking at what a young player will do in five or 10 years.

competitive advantage

Fortunately, Sevilla are known for their ability to scout new players. They have already achieved success in their field. By the time young star players break through the league, bigger teams usually come in to acquire them. Sevilla FC now believes that it has a greater advantage when it comes to scouting thanks to the capabilities of AI.





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