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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\u2019 careers to understand the role of early career stages and the impact of specific tournaments on players\u2019 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\u2019 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\u2019 careers, offering valuable insights into the dynamics of success in tennis.<\/jats:p>","DOI":"10.1140\/epjds\/s13688-024-00472-3","type":"journal-article","created":{"date-parts":[[2024,4,19]],"date-time":"2024-04-19T07:01:59Z","timestamp":1713510119000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Early career wins and tournament prestige characterize tennis players\u2019 trajectories"],"prefix":"10.1140","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1550-2559","authenticated-orcid":false,"given":"Chiara","family":"Zappal\u00e0","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6198-7393","authenticated-orcid":false,"given":"Sandro","family":"Sousa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2986-4908","authenticated-orcid":false,"given":"Tiago","family":"Cunha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9368-5800","authenticated-orcid":false,"given":"Alessandro","family":"Pluchino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8290-8183","authenticated-orcid":false,"given":"Andrea","family":"Rapisarda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7558-1028","authenticated-orcid":false,"given":"Roberta","family":"Sinatra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,19]]},"reference":[{"issue":"6312","key":"472_CR1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaf5239","volume":"354","author":"R Sinatra","year":"2016","unstructured":"Sinatra R, Wang D, Deville P, Song C, Barab\u00e1si AL (2016) Quantifying the evolution of individual scientific impact. 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