Early career wins and tournament prestige characterize tennis players’ trajectories
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Success in sports is a complex phenomenon that has only garnered limited research attention. In particular, we lack a deep scientific understanding of success in sports like tennis and the factors that contribute to it. Here, we study the unfolding of tennis players’ careers to understand the role of early career stages and the impact of specific tournaments on players’ trajectories. We employ a comprehensive approach combining network science and analysis of the Association of Tennis Professionals (ATP) tournament data and introduce a novel method to quantify tournament prestige based on the eigenvector centrality of the co-attendance network of tournaments. Focusing on the interplay between participation in central tournaments and players’ performance, we find that the level of the tournament where players achieve their first win is associated with becoming a top player. This work sheds light on the critical role of the initial stages in the progression of players’ careers, offering valuable insights into the dynamics of success in tennis.
Originalsprog | Engelsk |
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Artikelnummer | 32 |
Tidsskrift | EPJ Data Science |
Vol/bind | 13 |
Udgave nummer | 1 |
Antal sider | 17 |
ISSN | 2193-1127 |
DOI | |
Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:
Open access funding provided by Corvinus University of Budapest. CZ acknowledges the support of 101086712-LearnData-HORIZON-WIDERA-2022-TALENTS-01 financed by EUROPEAN RESEARCH EXECUTIVE AGENCY (REA) ( https://cordis.europa.eu/project/id/101086712 ), the Erasmus Mobility Network, and the Danish Data Science Academy (DDSA) for funding her visits to the research group of RS. AP and AR acknowledge partial financial support of PRIN 2017WZFTZP Stochastic forecasting in complex systems. RS and SS acknowledge support from Villum Fonden through the Villum Young Investigator program (project number: 00037394).
Publisher Copyright:
© The Author(s) 2024.
ID: 391117016