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The ball in play demands of international rugby union

Benjamin T. Pollard, Anthony N. Turner, Robin Eager, Daniel J. Cunningham, Christian J. Cook, Patrick Hogben, Liam Kilduff Orcid Logo

Journal of Science and Medicine in Sport, Volume: 21, Issue: 10, Pages: 1090 - 1094

Swansea University Author: Liam Kilduff Orcid Logo

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DOI (Published version): 10.1016/j.jsams.2018.02.015

Abstract

ObjectivesRugby union is a high intensity intermittent sport, typically analysed via set time periods or rolling average methods This study reports the demands of international rugby union via global positioning system (GPS) metrics expressed as mean ball in play (BiP), maximum BiP (max BiP), and wh...

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Published in: Journal of Science and Medicine in Sport
ISSN: 1440-2440
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa38857
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-07-13T15:44:42.0270510</datestamp><bib-version>v2</bib-version><id>38857</id><entry>2018-02-23</entry><title>The ball in play demands of international rugby union</title><swanseaauthors><author><sid>972ed9a1dda7a0de20581a0f8350be98</sid><ORCID>0000-0001-9449-2293</ORCID><firstname>Liam</firstname><surname>Kilduff</surname><name>Liam Kilduff</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-02-23</date><deptcode>STSC</deptcode><abstract>ObjectivesRugby union is a high intensity intermittent sport, typically analysed via set time periods or rolling average methods This study reports the demands of international rugby union via global positioning system (GPS) metrics expressed as mean ball in play (BiP), maximum BiP (max BiP), and whole match outputs.DesignSingle cohort cross sectional study involving 22 international players, categorised as forwards and backs.MethodsA total of 88 GPS files from eight international test matches were collected during 2016. An Opta sportscode timeline was integrated into the GPS software to split the data into BiP periods. Metres per min (m.min&#x2212;1), high metabolic load per min (HML), accelerations per min (Acc), high speed running per min (HSR), and collisions per min (Coll) were expressed relative to BiP periods and over the whole match ( &amp;#62; 60 min).ResultsWhole match metrics were significantly lower than all BiP metrics (p &amp;#60; 0.001). Mean and max BiP HML, (p &amp;#60; 0.01) and HSR (p &amp;#60; 0.05) were significantly higher for backs versus forwards, whereas Coll were significantly higher for forwards (p &amp;#60; 0.001). In plays lasting 61 s or greater, max BiP m.min&#x2212;1 were higher for backs. Max BiP m.min&#x2212;1, HML, HSR and Coll were all time dependant (p &amp;#60; 0.05) showing that both movement metrics and collision demands differ as length of play continues.ConclusionsThis study uses a novel method of accurately assessing the BiP demands of rugby union. It also reports typical and maximal demands of international rugby union that can be used by practitioners and scientists to target training of worst-case scenario&#x2019;s equivalent to international intensity. Backs covered greater distances at higher speeds and demonstrated higher HML, in general play as well as &#x2018;worst case scenarios'; conversely forwards perform a higher number of collisions.</abstract><type>Journal Article</type><journal>Journal of Science and Medicine in Sport</journal><volume>21</volume><journalNumber>10</journalNumber><paginationStart>1090</paginationStart><paginationEnd>1094</paginationEnd><publisher/><issnPrint>1440-2440</issnPrint><keywords>GPS analysis; collisions; movement patterns; worst case scenario</keywords><publishedDay>31</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-10-31</publishedDate><doi>10.1016/j.jsams.2018.02.015</doi><url/><notes/><college>COLLEGE NANME</college><department>Sport and Exercise Sciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>STSC</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-07-13T15:44:42.0270510</lastEdited><Created>2018-02-23T09:17:21.1090369</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>Benjamin T.</firstname><surname>Pollard</surname><order>1</order></author><author><firstname>Anthony N.</firstname><surname>Turner</surname><order>2</order></author><author><firstname>Robin</firstname><surname>Eager</surname><order>3</order></author><author><firstname>Daniel J.</firstname><surname>Cunningham</surname><order>4</order></author><author><firstname>Christian J.</firstname><surname>Cook</surname><order>5</order></author><author><firstname>Patrick</firstname><surname>Hogben</surname><order>6</order></author><author><firstname>Liam</firstname><surname>Kilduff</surname><orcid>0000-0001-9449-2293</orcid><order>7</order></author></authors><documents><document><filename>0038857-05032018104756.pdf</filename><originalFilename>pollard2018(2).pdf</originalFilename><uploaded>2018-03-05T10:47:56.8200000</uploaded><type>Output</type><contentLength>420526</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-03-03T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2020-07-13T15:44:42.0270510 v2 38857 2018-02-23 The ball in play demands of international rugby union 972ed9a1dda7a0de20581a0f8350be98 0000-0001-9449-2293 Liam Kilduff Liam Kilduff true false 2018-02-23 STSC ObjectivesRugby union is a high intensity intermittent sport, typically analysed via set time periods or rolling average methods This study reports the demands of international rugby union via global positioning system (GPS) metrics expressed as mean ball in play (BiP), maximum BiP (max BiP), and whole match outputs.DesignSingle cohort cross sectional study involving 22 international players, categorised as forwards and backs.MethodsA total of 88 GPS files from eight international test matches were collected during 2016. An Opta sportscode timeline was integrated into the GPS software to split the data into BiP periods. Metres per min (m.min−1), high metabolic load per min (HML), accelerations per min (Acc), high speed running per min (HSR), and collisions per min (Coll) were expressed relative to BiP periods and over the whole match ( &#62; 60 min).ResultsWhole match metrics were significantly lower than all BiP metrics (p &#60; 0.001). Mean and max BiP HML, (p &#60; 0.01) and HSR (p &#60; 0.05) were significantly higher for backs versus forwards, whereas Coll were significantly higher for forwards (p &#60; 0.001). In plays lasting 61 s or greater, max BiP m.min−1 were higher for backs. Max BiP m.min−1, HML, HSR and Coll were all time dependant (p &#60; 0.05) showing that both movement metrics and collision demands differ as length of play continues.ConclusionsThis study uses a novel method of accurately assessing the BiP demands of rugby union. It also reports typical and maximal demands of international rugby union that can be used by practitioners and scientists to target training of worst-case scenario’s equivalent to international intensity. Backs covered greater distances at higher speeds and demonstrated higher HML, in general play as well as ‘worst case scenarios'; conversely forwards perform a higher number of collisions. Journal Article Journal of Science and Medicine in Sport 21 10 1090 1094 1440-2440 GPS analysis; collisions; movement patterns; worst case scenario 31 10 2018 2018-10-31 10.1016/j.jsams.2018.02.015 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2020-07-13T15:44:42.0270510 2018-02-23T09:17:21.1090369 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Benjamin T. Pollard 1 Anthony N. Turner 2 Robin Eager 3 Daniel J. Cunningham 4 Christian J. Cook 5 Patrick Hogben 6 Liam Kilduff 0000-0001-9449-2293 7 0038857-05032018104756.pdf pollard2018(2).pdf 2018-03-05T10:47:56.8200000 Output 420526 application/pdf Accepted Manuscript true 2019-03-03T00:00:00.0000000 true eng
title The ball in play demands of international rugby union
spellingShingle The ball in play demands of international rugby union
Liam Kilduff
title_short The ball in play demands of international rugby union
title_full The ball in play demands of international rugby union
title_fullStr The ball in play demands of international rugby union
title_full_unstemmed The ball in play demands of international rugby union
title_sort The ball in play demands of international rugby union
author_id_str_mv 972ed9a1dda7a0de20581a0f8350be98
author_id_fullname_str_mv 972ed9a1dda7a0de20581a0f8350be98_***_Liam Kilduff
author Liam Kilduff
author2 Benjamin T. Pollard
Anthony N. Turner
Robin Eager
Daniel J. Cunningham
Christian J. Cook
Patrick Hogben
Liam Kilduff
format Journal article
container_title Journal of Science and Medicine in Sport
container_volume 21
container_issue 10
container_start_page 1090
publishDate 2018
institution Swansea University
issn 1440-2440
doi_str_mv 10.1016/j.jsams.2018.02.015
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 ObjectivesRugby union is a high intensity intermittent sport, typically analysed via set time periods or rolling average methods This study reports the demands of international rugby union via global positioning system (GPS) metrics expressed as mean ball in play (BiP), maximum BiP (max BiP), and whole match outputs.DesignSingle cohort cross sectional study involving 22 international players, categorised as forwards and backs.MethodsA total of 88 GPS files from eight international test matches were collected during 2016. An Opta sportscode timeline was integrated into the GPS software to split the data into BiP periods. Metres per min (m.min−1), high metabolic load per min (HML), accelerations per min (Acc), high speed running per min (HSR), and collisions per min (Coll) were expressed relative to BiP periods and over the whole match ( &#62; 60 min).ResultsWhole match metrics were significantly lower than all BiP metrics (p &#60; 0.001). Mean and max BiP HML, (p &#60; 0.01) and HSR (p &#60; 0.05) were significantly higher for backs versus forwards, whereas Coll were significantly higher for forwards (p &#60; 0.001). In plays lasting 61 s or greater, max BiP m.min−1 were higher for backs. Max BiP m.min−1, HML, HSR and Coll were all time dependant (p &#60; 0.05) showing that both movement metrics and collision demands differ as length of play continues.ConclusionsThis study uses a novel method of accurately assessing the BiP demands of rugby union. It also reports typical and maximal demands of international rugby union that can be used by practitioners and scientists to target training of worst-case scenario’s equivalent to international intensity. Backs covered greater distances at higher speeds and demonstrated higher HML, in general play as well as ‘worst case scenarios'; conversely forwards perform a higher number of collisions.
published_date 2018-10-31T03:49:17Z
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score 11.036706

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