{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,6]],"date-time":"2026-11-06T17:10:24Z","timestamp":1793985024055,"version":"4.8.0"},"reference-count":33,"publisher":"Human Kinetics","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,1]]},"abstract":"<jats:p><jats:italic><jats:bold>Purpose<\/jats:bold>:<\/jats:italic> Acceleration\u2013speed (AS) profiling provides a novel way to quantify soccer players\u2019 maximum running ability without requiring dedicated sprint tests. This study explored how normalizing player effort with AS profiles could reveal unique patterns of changes in effort compared with nonnormalized absolute values during distinct goal differential conditions throughout matches and across positions. <jats:italic><jats:bold>Methods<\/jats:bold>:<\/jats:italic> AS profiles were developed from global navigation satellite system sensor data from 3\u00a0years of match play from a women\u2019s national soccer team. Acceleration and power data were then grouped into low, moderate, high, and very high speed domains using either nonnormalized maximum values or normalized values based on individualized AS profiles. Separate linear mixed model analyses were carried out for normalized and nonnormalized data. <jats:italic><jats:bold>Results<\/jats:bold>:<\/jats:italic> The analysis revealed that when examining changes in acceleration effort based on goal differential, both normalized and nonnormalized values showed a general increase in effort when either in a draw, or winning in the first half, and a general trend in sustained effort when losing in the first half or losing\/drawn throughout the match. Furthermore, differences were mostly displayed at high to very high running-speed domains for normalized and moderate- to low-speed zones for nonnormalized metrics. <jats:italic><jats:bold>Conclusions<\/jats:bold>:<\/jats:italic> These findings highlight the value of using individual AS\u00a0and power profiles to normalize effort to facilitate investigation of player- and position-specific differences and reveal important positional behaviors displayed when in draw, losing, or winning states from first to second halves.<\/jats:p>","DOI":"10.1123\/ijspp.2025-0017","type":"journal-article","created":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T14:51:41Z","timestamp":1750949501000},"page":"1079-1090","source":"Crossref","is-referenced-by-count":4,"title":["Normalizing Acceleration and Power in Elite Soccer With Acceleration\u2013Speed Profiles: A Case Study of Game Segment, Position, and Goal Differential"],"prefix":"10.1123","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6944-0467","authenticated-orcid":true,"given":"Patrick","family":"Cormier","sequence":"first","affiliation":[{"name":"Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada"},{"name":"Medical and Physical Performance Department, Canada Soccer, Ottawa, ON, Canada"},{"name":"Physical Performance Department, Vancouver Rise FC, Vancouver, BC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming-Chang","family":"Tsai","sequence":"additional","affiliation":[{"name":"Canadian Sport Institute Pacific, Victoria, BC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Klimstra","sequence":"additional","affiliation":[{"name":"Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada"},{"name":"Canadian Sport Institute Pacific, Victoria, BC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"key":"r1","series-title":"J Biomech","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2021.110524","article-title":"Individual acceleration-speed profile in-situ: a proof of concept in professional football players","volume":"123","author":"Morin JB","year":"2021","unstructured":"Morin JB, Le Mat Y, Osgnach C, et\u00a0al. 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