| Literature DB >> 34943315 |
Benito Pérez-González1, Jairo León-Quismondo2, José Bonal2, Pablo Burillo2, Álvaro Fernández-Luna2.
Abstract
In 2019, numerous championships of youth categories soccer national teams were held. In the present study, we analyzed the existence of the Relative Age Effect (RAE) in four major male championships that, due to their importance and participating teams, most likely brought together the great bulk of the players who will dominate professional soccer in the next decade. Participants were professional and amateur youth male soccer players who participated in the last international championships: UEFA European Under-21 Championship (2017-2019); UEFA European Under-19 Championship (2019); South American Youth Football Championship (also known as Conmebol U-20) (2019); and FIFA U-20 World Cup (2019), with 823 players (20.25 ± 0.84 years). In the four championships analyzed, the existence of RAE was found for all players (p < 0.001). Analyzing the players when considering their position on the pitch and their championship, RAE was found, statistically significant, in 10 of the 16 classifications. New generations of elite soccer players arrive with a clear bias in the selection of talent; an unfair bias, based on unequal opportunities in early categories, which should be reviewed by sports authorities.Entities:
Keywords: Relative Age Effect; birthdate; selection bias; youth development; youth soccer
Year: 2021 PMID: 34943315 PMCID: PMC8700599 DOI: 10.3390/children8121117
Source DB: PubMed Journal: Children (Basel) ISSN: 2227-9067
Birthdate distributions of international youth championships (2017–2019) according to their quartile or semester of birth.
| Category | Measure | Q1 | Q2 | Q3 | Q4 | Se1 | Se2 |
|---|---|---|---|---|---|---|---|
| Euro U-21 |
| 87 | 80 | 52 | 44 | 167 | 96 |
| % | 33.1 | 30.4 | 19.8 | 16.7 | 63.5 | 36.5 | |
| Euro U-19 |
| 67 | 41 | 32 | 19 | 108 | 51 |
| % | 42.1 | 25.8 | 20.2 | 11.9 | 67.9 | 32.1 | |
| Conmebol U-20 |
| 101 | 56 | 52 | 23 | 157 | 75 |
| % | 43.5 | 24.1 | 22.5 | 9.9 | 67.6 | 32.4 | |
| World Cup U-20 |
| 62 | 45 | 39 | 22 | 107 | 61 |
| % | 36.9 | 26.8 | 23.2 | 13.1 | 63.7 | 36.3 | |
| All players |
| 317 | 222 | 175 | 108 | 539 | 28.3 |
| % | 38.6 | 27.0 | 21.3 | 13.1 | 65.6 | 34.4 |
Note: n = number; Q = quartile; Se = Semester.
Figure 1Quartile of birth of players by championship.
RAE data analysis by position and tournament.
| Position | Measure | Euro U-21 | Euro U-19 | Conmebol U-20 | World Cup U-20 |
|---|---|---|---|---|---|
| Overall | WB | 23 ± 15 | 20 ± 14 | 20 ± 14 | 22 ± 14 |
| tB | 0.43 ± 0.28 | 0.38 ± 0.27 | 0.38 ± 0.27 | 0.41 ± 0.27 | |
| b0 | 2.015 | 1.751 | 2.143 | 1.669 | |
| b1 | −0.849 | −1.436 | −1.461 | −1.090 | |
| ID | 2.34 | 4.20 | 4.31 | 2.97 | |
| R2 | 0.76 | 0.59 | 0.48 | 0.72 | |
| <0.001 | <0.001 | <0.001 | <0.001 | ||
| Goalkeeper | WB | 16 ± 12 | 27 ± 13 | 23 ± 15 | 21 ± 15 |
| tB | 0.30 ± 0.24 | 0.52 ± 0.26 | 0.44 ± 0.30 | 0.39 ± 0.29 | |
| b0 | 0.707 | −1.274 | −0.167 | −0.174 | |
| b1 | −2.741 | 0.188 | −0.748 | −1.347 | |
| ID | 15.50 | 0.83 | 2.11 | 3.85 | |
| R2 | 0.76 | 0.99 | 0.95 | 0.85 | |
| <0.001 | 0.829 | 0.236 | 0.068 | ||
| Defender | WB | 24 ± 14 | 19 ± 14 | 19 ± 13 | 22 ± 13 |
| tB | 0.45 ± 0.26 | 0.37 ± 0.27 | 0.36 ± 0.25 | 0.41 ± 0.25 | |
| b0 | 0.725 | 0.671 | 1.134 | 0.621 | |
| b1 | −0.592 | −1.694 | −1.724 | −1.087 | |
| ID | 1.81 | 5.44 | 5.61 | 2.97 | |
| R2 | 0.94 | 0.70 | −0.65 | 0.85 | |
| 0.127 | <0.001 | <0.001 | 0.019 | ||
| Midfielder | WB | 23 ± 15 | 21 ± 14 | 20 ± 13 | 24 ± 15 |
| tB | 0.44 ± 0.28 | 0.39 ± 0.27 | 0.38 ± 0.24 | 0.44 ± 0.28 | |
| b0 | 0.973 | 0.732 | 0.915 | 0.290 | |
| b1 | −0.699 | −1.365 | −1.434 | −0.698 | |
| ID | 2.01 | 3.92 | 4.20 | 2.01 | |
| R2 | 0.91 | 0.79 | 0.73 | 0.94 | |
| 0.047 | 0.004 | <0.001 | 0.159 | ||
| Forward | WB | 25 ± 16 | 18 ± 14 | 20 ± 16 | 20 ± 14 |
| tB | 0.47 ± 0.30 | 0.34 ± 0.27 | 0.38 ± 0.31 | 0.38 ± 0.27 | |
| b0 | 0.065 | 0.450 | 0.751 | 0.263 | |
| b1 | −0.342 | −2.022 | −1.551 | −1.501 | |
| ID | 1.41 | 7.55 | 4.72 | 4.49 | |
| R2 | 0.98 | 0.65 | 0.73 | 0.78 | |
| 0.500 | 0.002 | 0.002 | 0.015 |
Figure 2Poisson regression fit line regarding the frequency of week of birth (WB).