A Closer Look at the Relative Age Effect in the National Hockey League
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Vittorio Addona
At young ages, a few extra months of development can make a big difference in size, strength, and athletic ability. A child who turns 5 years old in January will be nearly 20% older by the time a child born in December has their 5th birthday. In many sports, including hockey, children born in the early months of the calendar year get noticed by their coaches because of the superiority they demonstrate due to their age advantage. As a result, boys born early in the year are more likely to reach the professional ranks of the National Hockey League (NHL). The phenomenon just described has been labeled the relative age effect (RAE). Previous work studying the RAE in the NHL has focused on individual NHL seasons, often encompassing many of the same players across multiple seasons. We investigate the RAE using complete data on every player who has ever played in the NHL. We focus the majority of our analysis on Canadian born players and examine the RAE across hockey position and hall-of-fame status. For the first time, we provide strong evidence of when the RAE began to manifest itself in Canada. Our change point analysis indicates that the RAE began for players born since 1951. Finally, we make a case for what initiated this change in the way young hockey players develop, particularly in Canada, which produced over 90% of NHL players at that time.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- Using the Count to Measure Pitching Performance
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Articles in the same Issue
- Article
- A Game-Theoretic Approach to Personnel Decisions in American Football
- Evaluation of Individual and Team Judo Strengths Using AHP Technique and Team Competition Data
- Relationship between the Opponent Block and the Hitter in Elite Male Volleyball
- Who Deserved the 2008-2009 Belgian Football Champion Title? A Semiparametric Answer
- From One-and-Done to Seasoned Veterans: A Demographic Analysis of Individual Career Length in Major League Soccer
- A Markov Process Model of the Number of Years Spent in Major League Baseball
- That's the Second-Biggest Hitting Streak I've Ever Seen! Verifying Simulated Historical Extremes in Baseball
- Using the Count to Measure Pitching Performance
- A Closer Look at the Relative Age Effect in the National Hockey League
- Structural Analysis of Action and Time in Sports: Judo
- A Simplified Analysis of Contemporary Defensive Performance in the National Football League
