![]() The birthdate distributions were categorized into four quartiles (January-March, Q1 April-June, Q2 July-September, Q3 October-December, Q4) and compared to a uniform distribution using Chi-square analysis with Cramer’s V ( Vc ) as a measure of effect size. ![]() A total of 20,401 soccer players participating in 47 different tournaments were analyzed. ![]() The aim of the current study was to investigate the variations in RAE in male and female international youth world-cup tournaments (U17 and U20) in the period from 1997–2019 and in international senior world-cup-tournaments from 2006–2019. Thus, relatively older soccer players in their cohort can be favored in talent identification, selection, and development. ![]() In soccer, January 1 st is the common cut-off date when categorizing players in competitions according to their chronological age, which potentially disadvantages those within the cohort who were born later in the year. The relative age effect (RAE) is a statistical bias observed across sport contexts and consists of a systematic skewness in birth date distribution within an annual-age cohort. ![]()
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