Since the propagation of COVID, speculations on the consequences of the virus on the professional football economy have been widespread. For the first time, this report studies the real impact of the pandemic on the footballers’ transfer market. The analysis covers three areas: the volume of investments, the typology of transfers (permanent, temporary, free, paid, etc.) and the price of players.
Monthly Report 57
The manner in which people live and practice football throughout the world is a good indicator of country-specific features. This Monthly Report compares 87 top divisions worldwide from the point of view of the number of yellow and red cards given by referees during matches played between the 2015/16 (or 2016) and 2019/20 (or 2020) seasons.
Monthly Report 56
This Monthly Report analyses the characteristics of the coaches at the head of 1,646 teams from 110 leagues in 79 countries worldwide. The study covers three aspects: the age, the length of stay in the club managed and the origin (national/expatriate). The Report also presents the rankings of the most represented origins among expatriate coaches.
Monthly Report 55
The 55th Monthly Report of the CIES Football Observatory analyses the contribution of national associations worldwide from the point of view of the production of professional players. Independently of the modalities of calculation, Brazil emerges as the principle worldwide power. France and Spain complete the podium.
Monthly Report 54
The 54th Monthly Report analyses the career paths of players present in March 2020 in the five major European leagues. The study focuses on the last club where the footballers played before making their debut in the big-5. It identifies clubs and countries that act as a stepping-stone for players to access the world’s wealthiest and most competitive championships.
Monthly Report 53
Since 2010, the CIES Football Observatory has been at the forefront of pioneering work in developing a scientific method to estimate the transfer values of footballers based on sums previously paid for players with similar characteristics. This report goes through the variables included in the statistical model developed, reveals the predictive power of the latter and presents several applications of the approach put into place.