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Weekly Post 517

Best players of the last semester: eight areas

Thanks to the collaboration with Impect, the CIES Football Observatory has developed performance indices on a 100 basis in eight areas of play. This Weekly Post presents the 50 outfield footballers with the highest values in each domain for the last six-month domestic league games, with each player appearing only in the ranking for the area in which they scored highest.

Weekly Post 516

Player asset evolution: Chelsea ahead of PSG

The 516th CIES Football Observatory Weekly Post highlights the clubs whose estimated transfer value of players owned has changed the most, positively or negatively, over the past year.

Weekly Post 515

Youngest teams: 69 leagues worldwide

The 515th CIES Football Observatory Weekly Post ranks teams from 69 leagues around the world according to the average age of line-ups fielded in the current domestic league season. Not including B-teams, the lowest value overall was recorded for Latvian side FK Metta (20.96 years), while the highest was measured for Saudi Arabia’s Khaleej FC (31.62 years).

Weekly Post 514

CIES “Ballon d’Or”: Lamine Yamal !

With the real Ballon d’Or to be awarded today, the CIES Football Observatory has had fun ranking the 100 best players in the world over the past year using a purely statistical method. The latter takes into account the performances of outfield footballers during the last year in six game areas (data from Impect), as well their employment, matches’ sporting level and results.

Weekly Post 513

Costliest squads: Chelsea at the top

Issue number 513 of the CIES Football Observatory’s Weekly Post presents the 100 clubs worldwide having committed the most money in transfer fees (including add-ons regardless of actual payment) to recruit their current first team squad players. Chelsea tops the list with a total investment of €1,314 million, of which €134 million for the most expensive signing (Moisés Caicedo, 10%).

Weekly Post 512

Most likely champions: 29 leagues

The 512th Weekly Post of the CIES Football Observatory presents the results of a statistical model forecasting the probability of winning the title for clubs in 29 leagues. The model combines sporting variables (Impect data on passes in the opponent’s half), economic variables (transfer fees invested to recruit players fielded) and demographic variables (players’ last year minutes and their matches’ sporting level).

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