Competition-Based Success Factors During the Talent Pathway of Elite Male Swimmers

Marginal differences in race results between top swimmers have evoked the interest in competition-based success factors of long-term athlete development. To identify novel factors for the multi-dimensional model of talent development, the aim of the study was to investigate annual variation in compe...

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Bibliographic Details
Main Authors: Dennis-Peter Born (Author), Ishbel Lomax (Author), Stephan Horvath (Author), Elena Meisser (Author), Philipp Seidenschwarz (Author), David Burkhardt (Author), Michael Romann (Author)
Format: Book
Published: Frontiers Media S.A., 2020-11-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Dennis-Peter Born  |e author 
700 1 0 |a Dennis-Peter Born  |e author 
700 1 0 |a Ishbel Lomax  |e author 
700 1 0 |a Stephan Horvath  |e author 
700 1 0 |a Elena Meisser  |e author 
700 1 0 |a Elena Meisser  |e author 
700 1 0 |a Philipp Seidenschwarz  |e author 
700 1 0 |a Philipp Seidenschwarz  |e author 
700 1 0 |a David Burkhardt  |e author 
700 1 0 |a Michael Romann  |e author 
245 0 0 |a Competition-Based Success Factors During the Talent Pathway of Elite Male Swimmers 
260 |b Frontiers Media S.A.,   |c 2020-11-01T00:00:00Z. 
500 |a 2624-9367 
500 |a 10.3389/fspor.2020.589938 
520 |a Marginal differences in race results between top swimmers have evoked the interest in competition-based success factors of long-term athlete development. To identify novel factors for the multi-dimensional model of talent development, the aim of the study was to investigate annual variation in competition performance (ACV), number of races per year, and age. Therefore, 45,398 race results of all male participants (n = 353) competing in individual events, i.e., butterfly, backstroke, breaststroke, freestyle, and individual medley, at the 2018 European Long-Course Swimming Championships (2018EC) were analyzed retrospectively for all 10 years prior to the championships with Pearson's correlation coefficient and multiple linear regression analysis. Higher ranked swimmers at the 2018EC showed significant medium correlations with a greater number of races per year and small but significant correlations with higher ACV in 10 and nine consecutive years, respectively, prior to the championships. Additionally, better swimmers were older than their lower ranked peers (r = −0.21, p < 0.001). Regression model explained a significant proportion of 2018EC ranking for 50 m (47%), 100 m (45%), 200 m (31%), and 400 m races (29%) but not for 800 and 1,500 m races with number of races having the largest effect followed by age and ACV. In conclusion, higher performance variation with results off the personal best in some races did not impair success at the season's main event and young competitors at international championships may benefit from success chances that increase with age. The higher number of races swum per year throughout the career of higher ranked swimmers may have provided learning opportunities and specific adaptations. Future studies should quantify these success factors in a multi-dimensional talent development model. 
546 |a EN 
690 |a age 
690 |a key performance indicators 
690 |a long-term athlete development 
690 |a number of races 
690 |a performance variation 
690 |a Sports 
690 |a GV557-1198.995 
655 7 |a article  |2 local 
786 0 |n Frontiers in Sports and Active Living, Vol 2 (2020) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fspor.2020.589938/full 
787 0 |n https://doaj.org/toc/2624-9367 
856 4 1 |u https://doaj.org/article/8c4744b8ff8c42a4b0ccacbe8f9705cf  |z Connect to this object online.