scholarly journals Origins of Relative Age Effects in Youth Football—A Nationwide Analysis

2020 ◽  
Vol 2 ◽  
Author(s):  
Michael Romann ◽  
Eva Rüeger ◽  
Mirjam Hintermann ◽  
Raphael Kern ◽  
Oliver Faude
Keyword(s):  
Sport Participation ◽  
Waiting Lists ◽  
Age Effects ◽  
Football Players ◽  
Relative Age ◽  
Youth Football ◽  
Grassroots Level ◽  
Age Range ◽  
First Time ◽  
Age Category

Introduction: Relative age effects (RAEs) refer to the overrepresentation of players born earlier in the selection year compared to late-born players within the same age category. To date, the origins and mechanisms of RAEs are still unclear. To evaluate the development of RAEs in terms of age group and selection level, we analyzed data of all registered child and adolescent football players in Switzerland.Methods: Age category, selection level, and birthdate from all licensed 101,991 Swiss child and youth football players assigned to a specific team [9,149 girls (9.0%) and 92,842 boys (91.0%); age range: 4.6–19.6 years] were analyzed. Additionally, out of 1,128 clubs, 54 clubs provided their documented waiting lists (1,224 players). Birthdate distributions were split by age category, sex, and birth quarter (Q1 = January to March, Q4 = October to December). RAEs were calculated using odds ratios (Q1 vs. Q4) with 95% confidence intervals (95% CI).Results: We found small RAEs among U8 players (OR 1.44 [95% CI 1.31, 1.59]) and U10 (OR 1.24 [95% CI 1.16, 1.32]). The RAE was negligible in all other age categories, independent of gender. In children's football, 5,584 (71.3%) teams performed selections. In teams without selection, there were no obvious RAEs. However, teams with selections for the same age category showed small RAEs with an overrepresentation of Q1 athletes in the first team (OR = 1.29 [95% CI 1.24, 1.35]) and inverse RAEs with an underrepresentation of Q1 athletes in the last team (OR = 0.85 [95% CI 0.82, 0.89]). Only small RAEs were observed on the waiting lists for the U8 (OR = 1.48 [1.13, 1.95]).Discussion and Conclusion: RAEs have a small, but consistent effect on participation in Swiss children's football at the grassroots level. Contrary to expectations, no inverse RAEs were found on the waiting lists. Nonetheless, first time coach selections seem to be the origin of RAEs. To protect young athletes from discrimination, RAE biases should be analyzed and eliminated at all stages of sport participation, selection, and dropout situations. Modifications to the organizational structure of sport and athlete development systems are recommended to prevent RAE-related discrimination in youth sports.

scholarly journals How Relative Age Effects Associate with Football Players’ Market Values: Indicators of Losing Talent and Wasting Money

Sports ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 99
Author(s):  
Michael Romann ◽  
Marie Javet ◽  
Stephen Cobley ◽  
Dennis-Peter Born
Keyword(s):  
Age Groups ◽  
Market Value ◽  
Age Effects ◽  
Football Players ◽  
Equal Distribution ◽  
Relative Age ◽  
Market Values ◽  
Talent Selection ◽  
Younger Age ◽  
Age Category

Background: In football, annual age-group categorization leads to relative age effects (RAEs) in talent development. Given such trends, relative age may also associate with market values. This study analyzed the relationship between RAEs and market values of youth players. Methods: Age category, birthdate, and market values of 11,738 youth male football players were obtained from the “transfermarkt.de” database, which delivers a good proxy for real market values. RAEs were calculated using odds ratios (OR) with 95% confidence intervals (95%CI). Results: Significant RAEs were found across all age-groups (p < 0.05). The largest RAEs occurred in U18 players (Q1 [relatively older] v Q4 [relatively younger] OR = 3.1) ORs decreased with age category, i.e., U19 (2.7), U20 (2.6), U21 (2.4), U22 (2.2), and U23 (1.8). At U19s, Q1 players were associated with significantly higher market values than Q4 players. However, by U21, U22, and U23 RAEs were inversed, with correspondingly higher market values for Q4 players apparent. While large typical RAEs for all playing positions was observed in younger age categories (U18–U20), inversed RAEs were only evident for defenders (small-medium) and for strikers (medium-large) in U21–U23 (not goalkeepers and midfielders). Conclusions: Assuming an equal distribution of football talent exists across annual cohorts, results indicate the selection and market value of young professional players is dynamic. Findings suggest a potential biased selection, and undervaluing of Q4 players in younger age groups, as their representation and market value increased over time. By contrast, the changing representations and market values of Q1 players suggest initial overvaluing in performance and monetary terms. Therefore, this inefficient talent selection and the accompanying waste of money should be improved.

scholarly journals Examining Play Counts and Measurements of Injury Incidence in Youth Football

2017 ◽  
Vol 52 (10) ◽  
pp. 955-965 ◽  
Author(s):  
Zachary Y. Kerr ◽  
Susan W. Yeargin ◽  
Aristarque Djoko ◽  
Sara L. Dalton ◽  
Melissa M. Baker ◽  
...  
Keyword(s):  
Outcome Measure ◽  
Age Groups ◽  
Injury Rate ◽  
Football Players ◽  
Injury Incidence ◽  
Injury Rates ◽  
Head Impacts ◽  
Youth Football ◽  
Rate Ratios ◽  
Age Range

Context: Whereas researchers have provided estimates for the number of head impacts sustained within a youth football season, less is known about the number of plays across which such impact exposure occurs.Objective: To estimate the number of plays in which youth football players participated during the 2013 season and to estimate injury incidence through play-based injury rates.Design: Descriptive epidemiology study.Setting: Youth football.Patients or Other Participants: Youth football players (N = 2098; age range, 5−15 years) from 105 teams in 12 recreational leagues across 6 states.Main Outcome Measure(s): We calculated the average number of athlete-plays per season and per game using independent-samples t tests to compare age groups (5–10 years old versus 11–15 years old) and squad sizes (&lt;20 versus ≥20 players); game injury rates per 1000 athlete-exposures (AEs) and per 10 000 athlete-plays; and injury rate ratios (IRRs) with 95% confidence intervals (CIs) to compare age groups.Results: On average, youth football players participated in 333.9 ± 178.5 plays per season and 43.9 ± 24.0 plays per game. Age groups (5- to 10-year-olds versus 11- to 15-year-olds) did not differ in the average number of plays per season (335.8 versus 332.3, respectively; t2086.4 = 0.45, P = .65) or per game (44.1 versus 43.7, respectively; t2092.3 = 0.38, P = .71). However, players from smaller teams participated in more plays per season (373.7 versus 308.0; t1611.4 = 8.15, P &lt; .001) and per game (47.7 versus 41.4; t1523.5 = 5.67, P &lt; .001). Older players had a greater game injury rate than younger players when injury rates were calculated per 1000 AEs (23.03 versus 17.86/1000 AEs; IRR = 1.29; 95% CI = 1.04, 1.60) or per 10 000 athlete-plays (5.30 versus 4.18/10 000 athlete-plays; IRR = 1.27; 95% CI = 1.02, 1.57).Conclusions: A larger squad size was associated with a lower average number of plays per season and per game. Increasing youth football squad sizes may help reduce head-impact exposure for individual players. The AE-based injury rates yielded effect estimates similar to those of play-based injury rates.

scholarly journals The Influence of Relative Age Effects on the Cardiorespiratory Fitness Levels of Children Age 9 to 10 and 11 to 12 Years of Age

2012 ◽  
Vol 24 (1) ◽  
pp. 72-83 ◽  
Author(s):  
Simon J. Roberts ◽  
Lynne M. Boddy ◽  
Stuart J. Fairclough ◽  
Gareth Stratton
Keyword(s):  
Cardiorespiratory Fitness ◽  
Age Groups ◽  
Age Effect ◽  
Age Effects ◽  
Fitness Testing ◽  
Public Health Perspective ◽  
Cross Sectional ◽  
Relative Age ◽  
Relative Age Effect ◽  
First Time

The aims of this study were firstly to examine whether there was an observed relative age effect in the cardiorespiratory fitness scores of 9-10 and 11-12 year old children, and secondly whether any observed effect was maintained after controlling for somatic maturity. Cardiorespiratory fitness data from 11,404 children aged 9-10 years and 3,911 children aged 11-12 years were obtained from a large cross-sectional field-based fitness testing program. A one-way ANOVA revealed a statistically significant relative age effect (p < .01) existed in the 20mSRT scores across all the age groups. Furthermore, ANCOVA analyses identified a statistically significant relative age effect was maintained after controlling for somatic maturation (p < .05). From a public health perspective these results confirm the existence of relative age effects for the first time and consequently may hold implications for relatively younger children in the accurate assessment of their cardiorespiratory fitness scores.

Relative age effects in American professional football

2019 ◽  
Vol 15 (3) ◽  
pp. 185-202 ◽  
Author(s):  
Jack F. Heneghan ◽  
Michael C. Herron
Keyword(s):  
Football Player ◽  
Age Effect ◽  
Age Effects ◽  
American Football ◽  
Football Players ◽  
Physiological Factors ◽  
Relative Age ◽  
Relative Age Effect ◽  
Athletic Success

Abstract We test for the existence of relative age effects in professional American football. In a sample of 18,898 football players born on or after 1940, there is an excess of January and February births – consistent with a relative age effect associated with calendar year – as well as a slight increase in September births – consistent with the fact that some football players we analyze attended high school in states with fall school cutoff dates. We consider the possibility that relative age effects may affect skilled football positions more than positions relying heavily on player weight, and we find suggestive evidence of this. Lastly, and contrary to what has recently been shown in professional hockey, we find no evidence that misguided preferences for relatively older players lead to selection-based inefficiencies in football player drafting. Our results have implications for evaluating potential football players and speak broadly to the role of physiological factors beyond player control on athletic success.

scholarly journals Relative age, maturation, anthropometry and physical performance characteristics of players within an Elite Youth Football Academy

2019 ◽  
Vol 14 (6) ◽  
pp. 714-725 ◽  
Author(s):  
Rickesh Patel ◽  
Alan Nevill ◽  
Ross Cloak ◽  
Tina Smith ◽  
Matthew Wyon
Keyword(s):  
Physical Performance ◽  
Age Groups ◽  
Multilevel Modelling ◽  
Age Effects ◽  
Countermovement Jump ◽  
Relative Age ◽  
Youth Football ◽  
Physical Performances ◽  
Novel Approaches ◽  
Level 1

A professional English football club with Category 1 academy status was investigated to determine the magnitude of relative age effects (RAE) within the club and explore between-quartile differences for somatic maturity, anthropometry and physical performances. Birth dates of 426 players from Under 9 to First Team were categorised into four birth quartiles (Q) and examined for relative age effects. Additionally, data on 382 players (Under 11 to First Team) were obtained for somatic maturity, anthropometry, countermovement jump, sprint (10 and 30 m), agility T-test and Yo-Yo Intermittent Recovery Level 1 or 2 performance to determine between-quartile differences. Odds ratios revealed Q1 players were 6.0 times more likely to be represented than Q4 players. Multilevel modelling demonstrated between birth quartile similarities for each variable across all age groups, though there was a tendency for Q4 players to outperform Q1 players between Under 11 and Under 18 groups. Strong relative age effects exist within this club as well as a tendency to select players demonstrating advanced growth and/or maturity, with some indication that higher categorised academies in England may be at risk of amplified selection biases. Talent identification strategies in elite youth football should actively seek to adopt novel approaches to reduce selection biases and avoid wasted potential.

Does tackling form affect head acceleration in youth football players?

2020 ◽  
Vol 234 (3) ◽  
pp. 257-267 ◽  
Author(s):  
Ryan A Gellner ◽  
Eamon T Campolettano ◽  
Steven Rowson
Keyword(s):  
Football Players ◽  
Head Acceleration ◽  
Head Impacts ◽  
Youth Football ◽  
High Magnitude ◽  
Close Range ◽  
Agreement Coefficient ◽  
Reduce Risk ◽  
Effectiveness Of Training ◽  
Age Range

To reduce head impact exposure, a number of youth football organizations have begun teaching tackling technique. This study sought to develop and utilize a set of tackling form grading criteria for both tacklers and ball carriers as well as to relate tackling form to head acceleration outcome. It was hypothesized that players exhibiting better form would experience lower head accelerations in individual tackles. Three teams consisting of 67 players (20, 29, and 18 players per team; age 12.7 ± 0.95, age range 11–14 years, body mass 55.1 ± 16.2 kg) were instrumented with helmet-mounted accelerometer arrays for one season. Videos of close-range tackling drills were used to develop tackling form criteria. Two raters used these criteria to each score 105 impacts. Six of the seven categories were found to have good inter-rater reliability metrics (total percent agreement ≥ 79%, agreement coefficient ≥ 0.65). Bending at both the hips and knees, leading with the shoulder or arm, and initiating contact were found to reduce risk of high-magnitude (>40 g) head impacts in tacklers. Keeping the eyes up and avoiding dropping the head reduced the risk of high-magnitude head impacts in ball carriers. This study shows the potential effectiveness of training both tacklers and ball carriers in proper technique for collisions in youth football to minimize head impacts.

scholarly journals The Relative Age Effect On The Selection In The Slovakia National Football Teams

2015 ◽  
Vol 55 (2) ◽  
pp. 122-131 ◽  
Author(s):  
Martin Mikulič ◽  
Pavol Gregora ◽  
Ľuboš Benkovský ◽  
Pavol Peráček
Keyword(s):  
Statistical Significance ◽  
Significance Test ◽  
Age Effect ◽  
Football Players ◽  
National Team ◽  
Relative Age ◽  
Relative Age Effect ◽  
Significant Difference ◽  
Age Category ◽  
Selection Of

SummaryThe focus of this research was to determine the relative age effect (RAE) on selection in the Slovakia national football teams. A factor that may have a significant impact on the quality of players chosen for the national teams or may result in a poor selection of players for the elite teams. Anthropometric and cognitive acceleration of players born in the first months of the calendar year concerning the overall context of the competition for placement in the national teams may be considered as a significant advantage. The aim of this research was to examine, determine and verify the presence of relative age effect in the selection of football players for the Slovakia national teams starting with the under 16 age category (U-16) through to the A - senior national football team. We presumed that the elite teams under this review and study consisted predominantly of players born in the first quarter of the calendar year, while also presuming that relative age effect receded with the increasing age category. Our survey sample U16 consisted of 79 players, U17 consisted of 47 players, U18 consisted of 58 players, U19 consisted of 71 players, U21 consisted of 52 players and A - senior national team consisted of 302 Slovakia national football players. The information obtained from the Slovak Football Association has been processed by the application of statistical methods and statistical significance test (T-test). Our research confirmed the presence of relative age effect in the U-16, U-17 and U-18 teams under our investigation (p≤0.01). In the U19 and U21 age categories, statistical significance has not been confirmed. As for the senior national team, statistically significant difference has been found in relation to players born in the last quarter of the year as opposed to players born in the first three months of the year (p≤0.01). Our results have shown that with the increasing age, the relative age effect fades and vanishes in full in the category of senior elite players. In the U-19 and U-21 age categories, statistical significance has not been confirmed. Based on this research results it may be recommended to use the advantage of relative age effect for the selection of players of the particular age category in the particular competition (such as e.g. the European Championship qualification, the European Championship final tournament qualification, or the World Cup qualification in the U-16, U-17, U-18 age categories).

scholarly journals Performance Effects with Injury Prevention Exercise Programmes in Male Youth Football Players: A Randomised Trial Comparing Two Interventions

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Hanna Lindblom ◽  
Markus Waldén ◽  
Martin Hägglund
Keyword(s):  
Injury Prevention ◽  
Randomised Trial ◽  
Football Players ◽  
Male Athletes ◽  
Male Youth ◽  
Link Type ◽  
Youth Football ◽  
Performance Effects ◽  
Improved Performance ◽  
Exercise Programmes

Abstract Background Increased performance from injury prevention exercise programmes (IPEPs) may affect injury risks positively and support the implementation of IPEPs. The primary aim was to study the performance effects of injury prevention exercises from two different IPEPs, the Knee Control IPEP and the further developed Knee Control+ IPEP, in youth male football players, and the secondary aim was to compare potential differences in performance effects between the IPEPs. Methods Four male youth football teams were tested for agility, hop and sprint performance at the start of the second half of the competitive season and after the end of the 8-week season. Per randomisation, two teams used Knee Control and two teams Knee Control+. Results In total, 47 players executed a median of 13 IPEP sessions (range 11–21 sessions). No improvements in performance were seen in the group as a whole. The intervention groups showed small declines in sprint and agility performance. There was a significant between-group difference in change for the 505 agility test, with improved performance in the Knee Control and worse performance in the Knee Control+ group, ΔKC vs KC+ = − 0.012 (95% CI − 0.19 to −0.04), d = 0.98. Conclusions No clinically meaningful performance effects were seen from the Knee Control or Knee Control+ IPEP in youth male athletes and no meaningful differences were seen between Knee Control and Knee Control+ regarding effects on performance tests. Trial registration ClinicalTrials.gov identifier: NCT03251404. Registered on 16 August 2017.

Sign in / Sign up

Export Citation Format

Share Document