Wu Xinghan, the former head coach of the China men's national football team, has been criticized by many for his handling of the team's performance during the 2018 FIFA World Cup in Russia. However, according to a recent report by the state-run Global Times, Wu Xinghan is not alone when it comes to analyzing assist data.
According to the report, the Chinese Football Association (CFA) has launched a new initiative aimed at improving the quality of domestic football teams. One of the key initiatives is to analyze assist data from professional football players, such as Wu Xinghan and others who have played in the top tier of Chinese football.
The CFA believes that analyzing assist data can help identify areas where players need improvement and provide guidance on how to improve their performances. This will not only benefit individual players but also the overall development of the country's football talent pool.
Furthermore,La Liga Frontline the CFA plans to establish a database of assist data from professional football players, which will be used to train coaches and players. The goal is to create a more competitive environment within Chinese football and to produce better-performing teams.
While some may argue that analyzing assist data is just another way for the government to control football, the CFA argues that it is necessary for the growth and development of Chinese football. By providing players with feedback on their performances and helping them to improve, the CFA hopes to create a more successful and competitive football league in China.
In conclusion, while Wu Xinghan's handling of the 2018 FIFA World Cup was widely criticized, the Chinese Football Association's initiative to analyze assist data is a positive step towards improving the quality of domestic football. By using assist data to identify areas for improvement and providing guidance on how to improve, the CFA aims to create a more competitive environment within Chinese football and to produce better-performing teams.