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2022
DOI: 10.1371/journal.pone.0264813
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Variations in the relative age effect with age and sex, and over time—Elite-level data from international soccer world cups

Abstract: 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. In soccer, January 1st 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. Thus, relatively older soccer players in their cohort can be favored in talent identification, selection, and developme… Show more

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Cited by 15 publications
(34 citation statements)
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“…Nevertheless, the difference in sample selection (i.e., the first one considering the Italian national teams and the second one considering the Italian national teams) may partially explain these results. On the other hand, data corroborated previous results underlined as RAE disappears from youth to senior level [ 20 , 24 ].…”
Section: Discussionsupporting
confidence: 90%
See 2 more Smart Citations
“…Nevertheless, the difference in sample selection (i.e., the first one considering the Italian national teams and the second one considering the Italian national teams) may partially explain these results. On the other hand, data corroborated previous results underlined as RAE disappears from youth to senior level [ 20 , 24 ].…”
Section: Discussionsupporting
confidence: 90%
“…While the RAE is well documented in male football, whereby a consistent and pervasive RAE exists, especially in the youth age groups [ 14 , 18 , 19 ], its presence remains inconclusive in females [ 17 , 21 ]. More specifically, the RAE seems mixed depending on contextual factors such as sociocultural context (i.e., depth of competition, attraction level and country-specific differences) [ 22 ], age groups [ 20 ], competition levels [ 23 ], playing positions [ 20 ], and historical moment [ 24 ]. For example, there was a significant difference in quartile distributions across elite German national teams [ 25 ] (i.e., Q1~31% vs. Q4~21%).…”
Section: Introductionmentioning
confidence: 99%
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“…A statistically significant difference was found between the groups of quarters. In another study (Pedersen et al, 2022) on male football players who participated in the under-17 World Cup between 1997-2019, the number of football players born in the first quarter of the same year was higher than the number of football players born in other quarters.…”
Section: Discussionmentioning
confidence: 89%
“…The relative age effect (RAE) refers to differences in athlete selection that are related to subtle age differences between athletes, such that differences in time of year of the athletes’ births differ within a given age year group (Helsen et al, 2012; Musch & Grondin, 2001; Pedersen, et al, 2022). For example, in Japan, April is the cutoff month for division play because schools begin in April.…”
Section: Introductionmentioning
confidence: 99%