Korea Professional Football Federation Holds 1st Data Analysis Course for 'K League Academy' in 2025
Korea Professional Football Federation Holds 1st Data Analysis Course for 'K League Academy' in 2025
Blog Article
The Korea Professional Football Federation held the first "K League Academy" data analysis process in Seoul Square for two days from the 4th.
The data analysis process is designed to recognize the importance of data needed for K-League power analysis and player evaluation, and to increase the use of data. The curriculum attracted a lot of attention and expectations by inviting J-League officials and former Manchester United Asian scouts, and about 70 people, including working-level officials from the federation, team player support and power enhancement departments, and scouts, attended.
In the first session of the first day of training, Ryotaro Hiyama, head of Transfer Room, a transfer market analysis company, gave a lecture on "global trends in the transfer market." In the second session that followed, Mizuki Moriwaki, technical director of Kawasaki Frontale, explained the Kawasaki club's player transfer under the theme of "J-League club's player transfer strategy."
Later, in the third session, Oita Trinita Technical Director Yoshioka Muneshige introduced the definition and implementation plan of club vision. At the last hour of the first day, the federation's team and the team's player support team concluded the schedule by discussing pending issues between working-level officials.
In the first session of the second day of the training, Professor Ko Sang-ki of University of Seoul was a lecturer and gave a lecture on "the practical use of soccer, events and trekking data viewed by data." In the second session that followed, former Manchester United Asia general manager Kei Tamura completed the training course explaining the purpose and procedure of scouting. 메이저놀이터
The federation has been implementing the "K League Academy" project since 2013 to provide customized education programs for K League members, including data analysis processes.