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A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play

Kieran Fereday, Samuel P. Hills, Mark Russell, Jordan Smith, Dan Cunningham, David Shearer, Melitta McNarry Orcid Logo, Liam Kilduff Orcid Logo

Journal of Science and Medicine in Sport, Volume: 23, Issue: 8, Pages: 764 - 769

Swansea University Authors: Kieran Fereday, Dan Cunningham, Melitta McNarry Orcid Logo, Liam Kilduff Orcid Logo

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DOI (Published version): 10.1016/j.jsams.2020.01.002

Abstract

ObjectivesTo compare fixed epochs (FIXED) and rolling averages (ROLL) for quantifying worst-case scenario (‘peak’) running demands during professional soccer match-play, whilst assessing contextual influences.DesignDescriptive, observational.MethodsTwenty-five outfield players from an English Champi...

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Published in: Journal of Science and Medicine in Sport
ISSN: 1440-2440
Published: Elsevier BV 2020
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Relative total and high-speed (&gt;5.5 m s&#x2212;1) distances were averaged over fixed and rolling 60-s to 600-s epochs. Linear mixed models compared FIXED versus ROLL and assessed the influence of epoch length, playing position, starting status, match result, location, formation, and time-of-day.ResultsIrrespective of playing position or epoch duration, FIXED underestimated ROLL for total (&#x223C;7&#x2013;10%) and high-speed (&#x223C;12&#x2013;25%) distance. In ROLL, worst-case scenario relative total and high-speed distances reduced from 190.1 &#xB1; 20.4 m min&#x2212;1 and 59.5 &#xB1; 23.0 m min&#x2212;1 in the 60-s epoch, to 120.9 &#xB1; 13.1 m min&#x2212;1 and 14.2 &#xB1; 6.5 m min&#x2212;1 in the 600-s epoch, respectively. Worst-case scenario total distance was higher for midfielders (&#x223C;9&#x2212;16 m min&#x2212;1) and defenders (&#x223C;3&#x2013;10 m min&#x2212;1) compared with attackers. In general, starters experienced higher worst-case scenario total distance than substitutes (&#x223C;3.6&#x2013;8.5 m min&#x2212;1), but lower worst-case scenario high-speed running over 300-s (&#x223C;3 m min&#x2212;1). Greater worst-case scenario total and high-speed distances were elicited during wins (&#x223C;7.3&#x2013;11.2 m min&#x2212;1 and &#x223C;2.7&#x2013;7.9 m min&#x2212;1, respectively) and losses (&#x223C;2.7&#x2013;5.7 m min&#x2212;1 and &#x223C;1.4&#x2013;2.2 m min&#x2212;1, respectively) versus draws, whilst time-of-day and playing formation influenced worst-case scenario high-speed distances only.ConclusionsThese data indicate an underestimation of worst-case scenario running demands in FIXED versus ROLL over 60-s to 600-s epochs while highlighting situational influences. Such information facilitates training specificity by enabling sessions to be targeted at the most demanding periods of competition.</abstract><type>Journal Article</type><journal>Journal of Science and Medicine in Sport</journal><volume>23</volume><journalNumber>8</journalNumber><paginationStart>764</paginationStart><paginationEnd>769</paginationEnd><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1440-2440</issnPrint><issnElectronic/><keywords>Football; Physiology; Monitoring; Fatigue; Activity profiles; Running</keywords><publishedDay>1</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-08-01</publishedDate><doi>10.1016/j.jsams.2020.01.002</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-03-15T12:03:24.7318587</lastEdited><Created>2020-01-08T13:31:35.2658546</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences</level></path><authors><author><firstname>Kieran</firstname><surname>Fereday</surname><order>1</order></author><author><firstname>Samuel P.</firstname><surname>Hills</surname><order>2</order></author><author><firstname>Mark</firstname><surname>Russell</surname><order>3</order></author><author><firstname>Jordan</firstname><surname>Smith</surname><order>4</order></author><author><firstname>Dan</firstname><surname>Cunningham</surname><orcid/><order>5</order></author><author><firstname>David</firstname><surname>Shearer</surname><order>6</order></author><author><firstname>Melitta</firstname><surname>McNarry</surname><orcid>0000-0003-0813-7477</orcid><order>7</order></author><author><firstname>Liam</firstname><surname>Kilduff</surname><orcid>0000-0001-9449-2293</orcid><order>8</order></author></authors><documents><document><filename>53155__16241__c313522a96b340fdac153f65e7b28bd9.pdf</filename><originalFilename>kilduff2019.pdf</originalFilename><uploaded>2020-01-08T13:32:22.6695327</uploaded><type>Output</type><contentLength>1024058</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2021-01-09T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2021-03-15T12:03:24.7318587 v2 53155 2020-01-08 A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play 09b9c3e7001b21456069debb39978a3e Kieran Fereday Kieran Fereday true false 70f1448812c0e1f65a8b92423e7f2b42 Dan Cunningham Dan Cunningham true false 062f5697ff59f004bc8c713955988398 0000-0003-0813-7477 Melitta McNarry Melitta McNarry true false 972ed9a1dda7a0de20581a0f8350be98 0000-0001-9449-2293 Liam Kilduff Liam Kilduff true false 2020-01-08 ObjectivesTo compare fixed epochs (FIXED) and rolling averages (ROLL) for quantifying worst-case scenario (‘peak’) running demands during professional soccer match-play, whilst assessing contextual influences.DesignDescriptive, observational.MethodsTwenty-five outfield players from an English Championship soccer club wore 10-Hz microelectromechanical systems during 28 matches. Relative total and high-speed (>5.5 m s−1) distances were averaged over fixed and rolling 60-s to 600-s epochs. Linear mixed models compared FIXED versus ROLL and assessed the influence of epoch length, playing position, starting status, match result, location, formation, and time-of-day.ResultsIrrespective of playing position or epoch duration, FIXED underestimated ROLL for total (∼7–10%) and high-speed (∼12–25%) distance. In ROLL, worst-case scenario relative total and high-speed distances reduced from 190.1 ± 20.4 m min−1 and 59.5 ± 23.0 m min−1 in the 60-s epoch, to 120.9 ± 13.1 m min−1 and 14.2 ± 6.5 m min−1 in the 600-s epoch, respectively. Worst-case scenario total distance was higher for midfielders (∼9−16 m min−1) and defenders (∼3–10 m min−1) compared with attackers. In general, starters experienced higher worst-case scenario total distance than substitutes (∼3.6–8.5 m min−1), but lower worst-case scenario high-speed running over 300-s (∼3 m min−1). Greater worst-case scenario total and high-speed distances were elicited during wins (∼7.3–11.2 m min−1 and ∼2.7–7.9 m min−1, respectively) and losses (∼2.7–5.7 m min−1 and ∼1.4–2.2 m min−1, respectively) versus draws, whilst time-of-day and playing formation influenced worst-case scenario high-speed distances only.ConclusionsThese data indicate an underestimation of worst-case scenario running demands in FIXED versus ROLL over 60-s to 600-s epochs while highlighting situational influences. Such information facilitates training specificity by enabling sessions to be targeted at the most demanding periods of competition. Journal Article Journal of Science and Medicine in Sport 23 8 764 769 Elsevier BV 1440-2440 Football; Physiology; Monitoring; Fatigue; Activity profiles; Running 1 8 2020 2020-08-01 10.1016/j.jsams.2020.01.002 COLLEGE NANME COLLEGE CODE Swansea University 2021-03-15T12:03:24.7318587 2020-01-08T13:31:35.2658546 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Kieran Fereday 1 Samuel P. Hills 2 Mark Russell 3 Jordan Smith 4 Dan Cunningham 5 David Shearer 6 Melitta McNarry 0000-0003-0813-7477 7 Liam Kilduff 0000-0001-9449-2293 8 53155__16241__c313522a96b340fdac153f65e7b28bd9.pdf kilduff2019.pdf 2020-01-08T13:32:22.6695327 Output 1024058 application/pdf Accepted Manuscript true 2021-01-09T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play
spellingShingle A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play
Kieran Fereday
Dan Cunningham
Melitta McNarry
Liam Kilduff
title_short A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play
title_full A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play
title_fullStr A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play
title_full_unstemmed A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play
title_sort A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play
author_id_str_mv 09b9c3e7001b21456069debb39978a3e
70f1448812c0e1f65a8b92423e7f2b42
062f5697ff59f004bc8c713955988398
972ed9a1dda7a0de20581a0f8350be98
author_id_fullname_str_mv 09b9c3e7001b21456069debb39978a3e_***_Kieran Fereday
70f1448812c0e1f65a8b92423e7f2b42_***_Dan Cunningham
062f5697ff59f004bc8c713955988398_***_Melitta McNarry
972ed9a1dda7a0de20581a0f8350be98_***_Liam Kilduff
author Kieran Fereday
Dan Cunningham
Melitta McNarry
Liam Kilduff
author2 Kieran Fereday
Samuel P. Hills
Mark Russell
Jordan Smith
Dan Cunningham
David Shearer
Melitta McNarry
Liam Kilduff
format Journal article
container_title Journal of Science and Medicine in Sport
container_volume 23
container_issue 8
container_start_page 764
publishDate 2020
institution Swansea University
issn 1440-2440
doi_str_mv 10.1016/j.jsams.2020.01.002
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences
document_store_str 1
active_str 0
description ObjectivesTo compare fixed epochs (FIXED) and rolling averages (ROLL) for quantifying worst-case scenario (‘peak’) running demands during professional soccer match-play, whilst assessing contextual influences.DesignDescriptive, observational.MethodsTwenty-five outfield players from an English Championship soccer club wore 10-Hz microelectromechanical systems during 28 matches. Relative total and high-speed (>5.5 m s−1) distances were averaged over fixed and rolling 60-s to 600-s epochs. Linear mixed models compared FIXED versus ROLL and assessed the influence of epoch length, playing position, starting status, match result, location, formation, and time-of-day.ResultsIrrespective of playing position or epoch duration, FIXED underestimated ROLL for total (∼7–10%) and high-speed (∼12–25%) distance. In ROLL, worst-case scenario relative total and high-speed distances reduced from 190.1 ± 20.4 m min−1 and 59.5 ± 23.0 m min−1 in the 60-s epoch, to 120.9 ± 13.1 m min−1 and 14.2 ± 6.5 m min−1 in the 600-s epoch, respectively. Worst-case scenario total distance was higher for midfielders (∼9−16 m min−1) and defenders (∼3–10 m min−1) compared with attackers. In general, starters experienced higher worst-case scenario total distance than substitutes (∼3.6–8.5 m min−1), but lower worst-case scenario high-speed running over 300-s (∼3 m min−1). Greater worst-case scenario total and high-speed distances were elicited during wins (∼7.3–11.2 m min−1 and ∼2.7–7.9 m min−1, respectively) and losses (∼2.7–5.7 m min−1 and ∼1.4–2.2 m min−1, respectively) versus draws, whilst time-of-day and playing formation influenced worst-case scenario high-speed distances only.ConclusionsThese data indicate an underestimation of worst-case scenario running demands in FIXED versus ROLL over 60-s to 600-s epochs while highlighting situational influences. Such information facilitates training specificity by enabling sessions to be targeted at the most demanding periods of competition.
published_date 2020-08-01T05:05:52Z
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score 11.371473

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