Inter-individual variability in elliptical and diagonal error distributions potentially relevant to optimal motor planning in football instep kicking

The distribution of motor errors can influence optimal motor planning (where to aim). In football instep kicking, it was shown that ball landing locations exhibit the right-up-left-down elliptical distribution in right-footed kickers and vice versa. However, this was reported as a result of mixed mu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Human movement science 2024-10, Vol.97, p.103272, Article 103272
Hauptverfasser: Sado, Natsuki, Yazawa, Morikazu, Tominaga, Tempei, Akutsu, Kohei
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 103272
container_title Human movement science
container_volume 97
creator Sado, Natsuki
Yazawa, Morikazu
Tominaga, Tempei
Akutsu, Kohei
description The distribution of motor errors can influence optimal motor planning (where to aim). In football instep kicking, it was shown that ball landing locations exhibit the right-up-left-down elliptical distribution in right-footed kickers and vice versa. However, this was reported as a result of mixed multiple kickers; the individual-level error distribution has been unclear. Here we show substantial inter-individual variability in error shape and error direction in the 30 kicks aimed at a target (1.7 m high, 11.0 m in front) by 27 male football players. All players exhibit right-up-left-down distributions with ellipticity (minor/major radius ratio of the 95% confidence ellipse) ranging from 0.25 to 0.77 and major axis angle ranging from 13 to 67° from the horizontal axis. The mean absolute error and the area of the 95% confidence ellipse are not significantly correlated with major axis angle (ρ ≤ 0.312) and ellipticity (|r| ≤ 0.343). By simulating shots aimed at the top-right and top-left edges of a goal with these observed ranges and normalised ellipse area, we reveal a wide range of probability of shots on goal (top-right: 2.7-fold difference, top-left: 1.5-fold difference) due to inter-individual variability in error shape and direction independent of error size. Further simulation shows that, depending on the shape-direction combination, the aiming points with the same 80% probability of shots on goal change by up to 0.3 m vertically, even for the same minimal error size. We highlight the importance for football players to consider not only accuracy/precision, but also error shape and direction to optimise motor planning.
doi_str_mv 10.1016/j.humov.2024.103272
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3096279752</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0167945724000952</els_id><sourcerecordid>3096279752</sourcerecordid><originalsourceid>FETCH-LOGICAL-c283t-8f432db1f78b4f8bb879fb37b5158b20bd4b88c855081a6c3aa2416457be3c3a3</originalsourceid><addsrcrecordid>eNp9UcuO1DAQtBCIHRa-AAnlyCWDX4mdAwe04rHSSlzgbNmOs_RsYgfbGWk-hP-lh1k4crLLXVWtchHymtE9o6x_d9j_2JZ03HPKJb4IrvgTsmNa8Vb1sn9KdshS7SA7dUVelHKglPZSyufkSgxMiY7zHfl1G2vILcQRjjBudm6ONoN1MEM9NRCbMM-wVvA4sXFsRrD3KSIIOaeMsNQMbquQYmnWVEOsYOf51OQwh6ONtampSWiwoGZJFTXrbGOEeH92n1KqDvl4LzWszQP4Bxy9JM8mO5fw6vG8Jt8_ffx286W9-_r59ubDXeu5FrXVkxR8dGxS2slJO6fVMDmhXMc67Th1o3Rae911VDPbe2Etl6zHD3FBIBLX5O3Fd83p5xZKNQsUj5FtDGkrRtCh52pQHUequFB9TqXkMJk1Y6h8Moyacx_mYP70Yc59mEsfqHrzuGBzSxj_af4WgIT3F0LAmEcI2RQPIfowQg6-mjHBfxf8BjYwoaM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3096279752</pqid></control><display><type>article</type><title>Inter-individual variability in elliptical and diagonal error distributions potentially relevant to optimal motor planning in football instep kicking</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Sado, Natsuki ; Yazawa, Morikazu ; Tominaga, Tempei ; Akutsu, Kohei</creator><creatorcontrib>Sado, Natsuki ; Yazawa, Morikazu ; Tominaga, Tempei ; Akutsu, Kohei</creatorcontrib><description>The distribution of motor errors can influence optimal motor planning (where to aim). In football instep kicking, it was shown that ball landing locations exhibit the right-up-left-down elliptical distribution in right-footed kickers and vice versa. However, this was reported as a result of mixed multiple kickers; the individual-level error distribution has been unclear. Here we show substantial inter-individual variability in error shape and error direction in the 30 kicks aimed at a target (1.7 m high, 11.0 m in front) by 27 male football players. All players exhibit right-up-left-down distributions with ellipticity (minor/major radius ratio of the 95% confidence ellipse) ranging from 0.25 to 0.77 and major axis angle ranging from 13 to 67° from the horizontal axis. The mean absolute error and the area of the 95% confidence ellipse are not significantly correlated with major axis angle (ρ ≤ 0.312) and ellipticity (|r| ≤ 0.343). By simulating shots aimed at the top-right and top-left edges of a goal with these observed ranges and normalised ellipse area, we reveal a wide range of probability of shots on goal (top-right: 2.7-fold difference, top-left: 1.5-fold difference) due to inter-individual variability in error shape and direction independent of error size. Further simulation shows that, depending on the shape-direction combination, the aiming points with the same 80% probability of shots on goal change by up to 0.3 m vertically, even for the same minimal error size. We highlight the importance for football players to consider not only accuracy/precision, but also error shape and direction to optimise motor planning.</description><identifier>ISSN: 0167-9457</identifier><identifier>ISSN: 1872-7646</identifier><identifier>EISSN: 1872-7646</identifier><identifier>DOI: 10.1016/j.humov.2024.103272</identifier><identifier>PMID: 39173522</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>95% confidence ellipse ; Accuracy ; Bivariate normal distribution ; Precision ; Soccer</subject><ispartof>Human movement science, 2024-10, Vol.97, p.103272, Article 103272</ispartof><rights>2024 Elsevier B.V.</rights><rights>Copyright © 2024 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c283t-8f432db1f78b4f8bb879fb37b5158b20bd4b88c855081a6c3aa2416457be3c3a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0167945724000952$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39173522$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sado, Natsuki</creatorcontrib><creatorcontrib>Yazawa, Morikazu</creatorcontrib><creatorcontrib>Tominaga, Tempei</creatorcontrib><creatorcontrib>Akutsu, Kohei</creatorcontrib><title>Inter-individual variability in elliptical and diagonal error distributions potentially relevant to optimal motor planning in football instep kicking</title><title>Human movement science</title><addtitle>Hum Mov Sci</addtitle><description>The distribution of motor errors can influence optimal motor planning (where to aim). In football instep kicking, it was shown that ball landing locations exhibit the right-up-left-down elliptical distribution in right-footed kickers and vice versa. However, this was reported as a result of mixed multiple kickers; the individual-level error distribution has been unclear. Here we show substantial inter-individual variability in error shape and error direction in the 30 kicks aimed at a target (1.7 m high, 11.0 m in front) by 27 male football players. All players exhibit right-up-left-down distributions with ellipticity (minor/major radius ratio of the 95% confidence ellipse) ranging from 0.25 to 0.77 and major axis angle ranging from 13 to 67° from the horizontal axis. The mean absolute error and the area of the 95% confidence ellipse are not significantly correlated with major axis angle (ρ ≤ 0.312) and ellipticity (|r| ≤ 0.343). By simulating shots aimed at the top-right and top-left edges of a goal with these observed ranges and normalised ellipse area, we reveal a wide range of probability of shots on goal (top-right: 2.7-fold difference, top-left: 1.5-fold difference) due to inter-individual variability in error shape and direction independent of error size. Further simulation shows that, depending on the shape-direction combination, the aiming points with the same 80% probability of shots on goal change by up to 0.3 m vertically, even for the same minimal error size. We highlight the importance for football players to consider not only accuracy/precision, but also error shape and direction to optimise motor planning.</description><subject>95% confidence ellipse</subject><subject>Accuracy</subject><subject>Bivariate normal distribution</subject><subject>Precision</subject><subject>Soccer</subject><issn>0167-9457</issn><issn>1872-7646</issn><issn>1872-7646</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9UcuO1DAQtBCIHRa-AAnlyCWDX4mdAwe04rHSSlzgbNmOs_RsYgfbGWk-hP-lh1k4crLLXVWtchHymtE9o6x_d9j_2JZ03HPKJb4IrvgTsmNa8Vb1sn9KdshS7SA7dUVelHKglPZSyufkSgxMiY7zHfl1G2vILcQRjjBudm6ONoN1MEM9NRCbMM-wVvA4sXFsRrD3KSIIOaeMsNQMbquQYmnWVEOsYOf51OQwh6ONtampSWiwoGZJFTXrbGOEeH92n1KqDvl4LzWszQP4Bxy9JM8mO5fw6vG8Jt8_ffx286W9-_r59ubDXeu5FrXVkxR8dGxS2slJO6fVMDmhXMc67Th1o3Rae911VDPbe2Etl6zHD3FBIBLX5O3Fd83p5xZKNQsUj5FtDGkrRtCh52pQHUequFB9TqXkMJk1Y6h8Moyacx_mYP70Yc59mEsfqHrzuGBzSxj_af4WgIT3F0LAmEcI2RQPIfowQg6-mjHBfxf8BjYwoaM</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Sado, Natsuki</creator><creator>Yazawa, Morikazu</creator><creator>Tominaga, Tempei</creator><creator>Akutsu, Kohei</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20241001</creationdate><title>Inter-individual variability in elliptical and diagonal error distributions potentially relevant to optimal motor planning in football instep kicking</title><author>Sado, Natsuki ; Yazawa, Morikazu ; Tominaga, Tempei ; Akutsu, Kohei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c283t-8f432db1f78b4f8bb879fb37b5158b20bd4b88c855081a6c3aa2416457be3c3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>95% confidence ellipse</topic><topic>Accuracy</topic><topic>Bivariate normal distribution</topic><topic>Precision</topic><topic>Soccer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sado, Natsuki</creatorcontrib><creatorcontrib>Yazawa, Morikazu</creatorcontrib><creatorcontrib>Tominaga, Tempei</creatorcontrib><creatorcontrib>Akutsu, Kohei</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Human movement science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sado, Natsuki</au><au>Yazawa, Morikazu</au><au>Tominaga, Tempei</au><au>Akutsu, Kohei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inter-individual variability in elliptical and diagonal error distributions potentially relevant to optimal motor planning in football instep kicking</atitle><jtitle>Human movement science</jtitle><addtitle>Hum Mov Sci</addtitle><date>2024-10-01</date><risdate>2024</risdate><volume>97</volume><spage>103272</spage><pages>103272-</pages><artnum>103272</artnum><issn>0167-9457</issn><issn>1872-7646</issn><eissn>1872-7646</eissn><abstract>The distribution of motor errors can influence optimal motor planning (where to aim). In football instep kicking, it was shown that ball landing locations exhibit the right-up-left-down elliptical distribution in right-footed kickers and vice versa. However, this was reported as a result of mixed multiple kickers; the individual-level error distribution has been unclear. Here we show substantial inter-individual variability in error shape and error direction in the 30 kicks aimed at a target (1.7 m high, 11.0 m in front) by 27 male football players. All players exhibit right-up-left-down distributions with ellipticity (minor/major radius ratio of the 95% confidence ellipse) ranging from 0.25 to 0.77 and major axis angle ranging from 13 to 67° from the horizontal axis. The mean absolute error and the area of the 95% confidence ellipse are not significantly correlated with major axis angle (ρ ≤ 0.312) and ellipticity (|r| ≤ 0.343). By simulating shots aimed at the top-right and top-left edges of a goal with these observed ranges and normalised ellipse area, we reveal a wide range of probability of shots on goal (top-right: 2.7-fold difference, top-left: 1.5-fold difference) due to inter-individual variability in error shape and direction independent of error size. Further simulation shows that, depending on the shape-direction combination, the aiming points with the same 80% probability of shots on goal change by up to 0.3 m vertically, even for the same minimal error size. We highlight the importance for football players to consider not only accuracy/precision, but also error shape and direction to optimise motor planning.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>39173522</pmid><doi>10.1016/j.humov.2024.103272</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0167-9457
ispartof Human movement science, 2024-10, Vol.97, p.103272, Article 103272
issn 0167-9457
1872-7646
1872-7646
language eng
recordid cdi_proquest_miscellaneous_3096279752
source Elsevier ScienceDirect Journals Complete
subjects 95% confidence ellipse
Accuracy
Bivariate normal distribution
Precision
Soccer
title Inter-individual variability in elliptical and diagonal error distributions potentially relevant to optimal motor planning in football instep kicking
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T12%3A47%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Inter-individual%20variability%20in%20elliptical%20and%20diagonal%20error%20distributions%20potentially%20relevant%20to%20optimal%20motor%20planning%20in%20football%20instep%20kicking&rft.jtitle=Human%20movement%20science&rft.au=Sado,%20Natsuki&rft.date=2024-10-01&rft.volume=97&rft.spage=103272&rft.pages=103272-&rft.artnum=103272&rft.issn=0167-9457&rft.eissn=1872-7646&rft_id=info:doi/10.1016/j.humov.2024.103272&rft_dat=%3Cproquest_cross%3E3096279752%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3096279752&rft_id=info:pmid/39173522&rft_els_id=S0167945724000952&rfr_iscdi=true