Determinants of fast attack performance on match outcome in the elite women's ice hockey
The primary objective of this study was to discern the determinants affecting the ice hockey game based on the performance of the fast attack between the winning and losing teams. Data from the women's ice hockey games at the Beijing 2022 Winter Olympics (n = 28) were used. A total of 2011 fast...
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| description | The primary objective of this study was to discern the determinants affecting the ice hockey game based on the performance of the fast attack between the winning and losing teams. Data from the women's ice hockey games at the Beijing 2022 Winter Olympics (n = 28) were used. A total of 2011 fast attacks were recorded, which included winning team 1156 times and losing team 855 times. 29 variables from nine categories were involved and analysed using chi-square tests, univariate tests and binary logistic regression. As a result, that fast attack performance varies between winning and losing teams, Effective Offensive Play. Scoring Analysis of the 2005 World Championships and the 2006 Olympics, INT, DZ, OZ, one-timer, dekes, shooting zone 1, shooting zone 3, shooting zone 4, SOG, SG%, 2nd period, PK, are key variables in distinguishing the winner and loser (P |
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Data from the women's ice hockey games at the Beijing 2022 Winter Olympics (n = 28) were used. A total of 2011 fast attacks were recorded, which included winning team 1156 times and losing team 855 times. 29 variables from nine categories were involved and analysed using chi-square tests, univariate tests and binary logistic regression. As a result, that fast attack performance varies between winning and losing teams, Effective Offensive Play. Scoring Analysis of the 2005 World Championships and the 2006 Olympics, INT, DZ, OZ, one-timer, dekes, shooting zone 1, shooting zone 3, shooting zone 4, SOG, SG%, 2nd period, PK, are key variables in distinguishing the winner and loser (P<0.05). The predictive model shows that shooting zone 4 (OR = 0.824), one-timer (OR = 1.255), 2nd period (OR = 1.193), SOG (OR = 1.230), and SG% (OR = 1.170) are determining factors of game outcomes. The current information has important practical applications as it allows coaches and players to improve the tactical strategy and offensive efficiency of the game.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0306469</identifier><identifier>PMID: 38968196</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Athletes ; Athletic Performance - physiology ; Biology and Life Sciences ; China ; Computer and Information Sciences ; Effectiveness ; Female ; Games ; Hockey ; Humans ; Ice ; Ice hockey ; Medicine and Health Sciences ; Olympic games ; People and Places ; Physical Sciences ; Prediction models ; Professional hockey ; Regression analysis ; Research and Analysis Methods ; Social Sciences ; Teams</subject><ispartof>PloS one, 2024-07, Vol.19 (7), p.e0306469</ispartof><rights>Copyright: © 2024 Tian, Xu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Tian, Xu. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Tian, Xu 2024 Tian, Xu</rights><rights>2024 Tian, Xu. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c642t-fff541a1ff5cee3608a90ecc390cf75ee848267f9fe3ff383300708ff1b1281b3</cites><orcidid>0009-0009-2306-5580</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11226076/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11226076/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38968196$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tian, Naiyuan</creatorcontrib><creatorcontrib>Xu, Gang</creatorcontrib><title>Determinants of fast attack performance on match outcome in the elite women's ice hockey</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The primary objective of this study was to discern the determinants affecting the ice hockey game based on the performance of the fast attack between the winning and losing teams. Data from the women's ice hockey games at the Beijing 2022 Winter Olympics (n = 28) were used. A total of 2011 fast attacks were recorded, which included winning team 1156 times and losing team 855 times. 29 variables from nine categories were involved and analysed using chi-square tests, univariate tests and binary logistic regression. As a result, that fast attack performance varies between winning and losing teams, Effective Offensive Play. Scoring Analysis of the 2005 World Championships and the 2006 Olympics, INT, DZ, OZ, one-timer, dekes, shooting zone 1, shooting zone 3, shooting zone 4, SOG, SG%, 2nd period, PK, are key variables in distinguishing the winner and loser (P<0.05). The predictive model shows that shooting zone 4 (OR = 0.824), one-timer (OR = 1.255), 2nd period (OR = 1.193), SOG (OR = 1.230), and SG% (OR = 1.170) are determining factors of game outcomes. The current information has important practical applications as it allows coaches and players to improve the tactical strategy and offensive efficiency of the game.</description><subject>Athletes</subject><subject>Athletic Performance - physiology</subject><subject>Biology and Life Sciences</subject><subject>China</subject><subject>Computer and Information Sciences</subject><subject>Effectiveness</subject><subject>Female</subject><subject>Games</subject><subject>Hockey</subject><subject>Humans</subject><subject>Ice</subject><subject>Ice hockey</subject><subject>Medicine and Health Sciences</subject><subject>Olympic games</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Prediction models</subject><subject>Professional hockey</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Social Sciences</subject><subject>Teams</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk0tvEzEQx1cIREvhGyCwhMTjkODHxmufUFVekSpV4iVuluOMs0537WB7gX57HLKtEtQD8mGs8W_-Y49nquoxwVPCGvJ6HYbodTfdBA9TzDCvubxTHRPJ6IRTzO7u7Y-qBymtMZ4xwfn96ogJyQWR_Lj6_hYyxN557XNCwSKrU0Y6Z20u0QaiDbHX3gAKHvU6mxaFIZvQA3Ie5RYQdC4D-lU8_kVCrpBtMJdw9bC6Z3WX4NFoT6qv7999Ofs4Ob_4MD87PZ8YXtM8sdbOaqJJMQaAcSy0xGAMk9jYZgYgakF5Y6UFZi0TjGHcYGEtWRAqyIKdVE93upsuJDUWJSmGG05rVou6EPMdsQx6rTbR9TpeqaCd-usIcaV0zM50oKihwtKltFKKuq6taJoFAynlTMz0UtCi9WbMNix6WBrwOeruQPTwxLtWrcJPRQilvNypKLwcFWL4MUDKqnfJQNdpD2EYLy4Exttkz_5Bb3_eSK10eYHzNpTEZiuqTosMaWoqcaGmt1BlLaF3prSQdcV_EPDqIKAwGX7nlR5SUvPPn_6fvfh2yD7fY1vQXW5T6Ibsgk-HYL0DTQwpRbA3VSZYbSfguhpqOwFqnIAS9mT_h26Crlue_QERpf_G</recordid><startdate>20240705</startdate><enddate>20240705</enddate><creator>Tian, Naiyuan</creator><creator>Xu, Gang</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0009-0009-2306-5580</orcidid></search><sort><creationdate>20240705</creationdate><title>Determinants of fast attack performance on match outcome in the elite women's ice hockey</title><author>Tian, Naiyuan ; Xu, Gang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c642t-fff541a1ff5cee3608a90ecc390cf75ee848267f9fe3ff383300708ff1b1281b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Athletes</topic><topic>Athletic Performance - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tian, Naiyuan</au><au>Xu, Gang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of fast attack performance on match outcome in the elite women's ice hockey</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-07-05</date><risdate>2024</risdate><volume>19</volume><issue>7</issue><spage>e0306469</spage><pages>e0306469-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The primary objective of this study was to discern the determinants affecting the ice hockey game based on the performance of the fast attack between the winning and losing teams. Data from the women's ice hockey games at the Beijing 2022 Winter Olympics (n = 28) were used. A total of 2011 fast attacks were recorded, which included winning team 1156 times and losing team 855 times. 29 variables from nine categories were involved and analysed using chi-square tests, univariate tests and binary logistic regression. As a result, that fast attack performance varies between winning and losing teams, Effective Offensive Play. Scoring Analysis of the 2005 World Championships and the 2006 Olympics, INT, DZ, OZ, one-timer, dekes, shooting zone 1, shooting zone 3, shooting zone 4, SOG, SG%, 2nd period, PK, are key variables in distinguishing the winner and loser (P<0.05). The predictive model shows that shooting zone 4 (OR = 0.824), one-timer (OR = 1.255), 2nd period (OR = 1.193), SOG (OR = 1.230), and SG% (OR = 1.170) are determining factors of game outcomes. The current information has important practical applications as it allows coaches and players to improve the tactical strategy and offensive efficiency of the game.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38968196</pmid><doi>10.1371/journal.pone.0306469</doi><tpages>e0306469</tpages><orcidid>https://orcid.org/0009-0009-2306-5580</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Athletes Athletic Performance - physiology Biology and Life Sciences China Computer and Information Sciences Effectiveness Female Games Hockey Humans Ice Ice hockey Medicine and Health Sciences Olympic games People and Places Physical Sciences Prediction models Professional hockey Regression analysis Research and Analysis Methods Social Sciences Teams |
| title | Determinants of fast attack performance on match outcome in the elite women's ice hockey |
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