{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:24:08Z","timestamp":1787016248635,"version":"build-2736575974"},"reference-count":40,"publisher":"Human Kinetics","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,7,1]]},"abstract":"<jats:p>\n                    <jats:italic>\n                      <jats:bold>Purpose<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    This study aimed to quantify the game-speed demand of elite soccer players using time windows from 5\u00a0seconds to 10\u00a0minutes and to examine the effect of match location and playing position on game-speed outputs.\n                    <jats:italic>\n                      <jats:bold>Methods<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Twenty-four Serie A (Italy) male professional soccer players (27.5 [4.1]\u00a0y old) participated in this study across an entire season. The players\u2019 activity profiles during matches were analyzed using a semiautomatic video tracking system (Stats Perform), which provided 2-dimensional coordinates of the players, and from these data, total distance (TD)\u00a0covered, high-speed running distance\u00a0(HSRD), and sprint distance (SD) were calculated. The most intense periods of match play were calculated using a moving-average method within 15 time windows (ie,\u00a05\u201310\u201315\u201330\u201360\u201390\u00a0s and from 2 to 10\u00a0min) and analyzed using a linear mixed model.\n                    <jats:italic>\n                      <jats:bold>Results<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    A slightly higher SD (estimate values\u2009=\u20093.98,\n                    <jats:italic>P<\/jats:italic>\n                    \u2009=\u2009.0192) was performed when playing a home match. Midfielders run the highest values for TD (\n                    <jats:italic>P<\/jats:italic>\n                    \u2009=\u2009.0001), center backs produced the lowest HSRD (\n                    <jats:italic>P<\/jats:italic>\n                    \u2009=\u2009.0011), and no significant differences between roles were found in terms of SD.\n                    <jats:italic>\n                      <jats:bold>Conclusions<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    A univariate approach based on velocity can aid in designing training for the most intense periods of a match, considering positional differences for TD and HSRD. On the other hand, the consistency in SD across different roles suggests a team behavior during the most intense periods of the game such as attacking and defensive transition phases.\n                  <\/jats:p>","DOI":"10.1123\/ijspp.2024-0441","type":"journal-article","created":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T02:52:37Z","timestamp":1747882357000},"page":"986-992","source":"Crossref","is-referenced-by-count":5,"title":["Analysis of the Most Intense Periods During Elite Soccer Matches: Effect of Game Location and Playing Position"],"prefix":"10.1123","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5629-1490","authenticated-orcid":true,"given":"Antonio","family":"Gualtieri","sequence":"first","affiliation":[{"name":"Sport Science and R&D Department, Juventus FC, Turin, Italy"},{"name":"School of Health and Sports Science, University of Suffolk, Ipswich, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria","family":"Angonese","sequence":"additional","affiliation":[{"name":"SportAnalytics, Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Massimo","family":"Maddiotto","sequence":"additional","affiliation":[{"name":"SportAnalytics, Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9729-0862","authenticated-orcid":true,"given":"Ermanno","family":"Rampinini","sequence":"additional","affiliation":[{"name":"Human Performance Laboratory, MAPEI Sport Research Center, Olgiate Olona, Italy"},{"name":"School of Sport, Exercise and Rehabilitation, Human Performance Research Centre, Faculty of Health, University of Technology Sydney, Moore Park, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3941-4747","authenticated-orcid":true,"given":"Duccio","family":"Ferrari Bravo","sequence":"additional","affiliation":[{"name":"Sport Science and R&D Department, Juventus FC, Turin, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5373-2211","authenticated-orcid":true,"given":"Marco","family":"Beato","sequence":"additional","affiliation":[{"name":"School of Health and Sports Science, University of Suffolk, Ipswich, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"issue":"2","key":"r1","series-title":"Int J Sports Physiol Perform","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1123\/IJSPP.2018-0935","article-title":"Internal and external training load: 15\u00a0years on","volume":"14","author":"Impellizzeri FM","year":"2019","unstructured":"Impellizzeri FM, Marcora SM, Coutts AJ. 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