{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T04:34:13Z","timestamp":1789706053597,"version":"4.0.1"},"reference-count":46,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T00:00:00Z","timestamp":1736294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Physiol."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>This study aimed to assess the development of speed, endurance and power in young football players and to create percentile charts and tables for standardized assessment.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Cross-sectional data were collected from 495 male players aged 12\u201316\u00a0years at RKS Rak\u00f3w Cz\u0119stochowa Academy in 2018\u20132022. Players participated in a systematic training in which running time 5\u00a0m, 10\u00a0m, 30\u00a0m, lower limb power (standing long jump), and Maximum Aerobic Speed (MAS) were measured using the 30\u201315 Intermittent Fitness Test. All tests were performed under constant environmental conditions by qualified personnel. Statistical analysis included ANOVA and percentile distribution for P3, P10, P25, P50, P75, P90, P97.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Results indicated that the most significant improvements occurred between the ages of 13 and 14, with increased speed over all distances and a significant increase in power. Percentile tables were developed, highlighting improvements in speed 5\u00a0m: 0.087\u20130.126\u00a0s; 10\u00a0m 0.162\u20130.215\u00a0s; 30\u00a0m: 0.438\u20130.719\u00a0s and power in the long jump test: 31\u201348\u00a0cm. Improvements in MAS ranged from 0.3 to 0.6\u00a0m\/s across the percentiles.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>The results highlight the need for individual training programs tailored to the biological maturity of players. The developed percentile charts and tables offer a valuable tool for coaches and sports scientists to monitor progress, optimize training loads, and minimize the risk of injury, providing a frame of reference for assessing the physical development of young soccer players. Future research should focus on extending these charts and tables to other age groups and genders to refine training methodologies further.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fphys.2024.1502694","type":"journal-article","created":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T06:23:24Z","timestamp":1736317404000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Normative and limit values of speed, endurance and power tests results of young football players"],"prefix":"10.3389","volume":"15","author":[{"given":"Micha\u0142","family":"Nowak","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marta","family":"Szymanek-Pilarczyk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Artur","family":"Stolarczyk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u0141ukasz","family":"Oleksy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaros\u0142aw","family":"Muracki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacek","family":"W\u0105sik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,1,8]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1080\/1359813022000048798","article-title":"A theoretical and empirical analysis of a \u2018state of the Art\u2019 talent identification model","volume":"13","author":"Abbott","year":"2002","journal-title":"High. 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