{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T07:18:12Z","timestamp":1771658292545,"version":"3.50.1"},"reference-count":33,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The aim of this study was to characterise all the goal scoring patterns during open play (elaborate attacks versus counterattacks) related to zone pitch division and the number of players involved in the 2018 FIFA World Cup in Russia. An Iterative Dichotomiser 3 (ID3) decision tree algorithm was used to classify all the goal scoring patterns (94 goals in 64 matches). The results did not show statistical differences between the type of scoring goal during the 2018 FIFA World Cup (p &gt; 0.05; ES = Moderate). According to the result of the patterns of how the goals were achieved, an ID3 algorithm decision tree with seven classification decision nodes was calculated. Consequently, this study may aid national team coaches for the next World Cup to establish notational analyses and spatial-temporal relations to understand how scoring patterns during open play are related to zone pitch division and the number of players involved.<\/jats:p>","DOI":"10.3390\/s21165601","type":"journal-article","created":{"date-parts":[[2021,8,22]],"date-time":"2021-08-22T22:59:27Z","timestamp":1629673167000},"page":"5601","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Characterisation of Goal Scoring Patterns during Open Play Related to Zone Pitch Division and Number of Players Involved in the 2018 FIFA World Cup"],"prefix":"10.3390","volume":"21","author":[{"given":"Joaquin","family":"Cerda","sequence":"first","affiliation":[{"name":"Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0017-0184","authenticated-orcid":false,"given":"Javier","family":"Sanchez-Sanchez","sequence":"additional","affiliation":[{"name":"Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain"}]},{"given":"David","family":"Viejo-Romero","sequence":"additional","affiliation":[{"name":"Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2737-5887","authenticated-orcid":false,"given":"Luis","family":"Jimenez-Linares","sequence":"additional","affiliation":[{"name":"Department of Information Technologies and Systems, School of Computer Science, University of Castilla-La Mancha, 45071 Toledo, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0794-4042","authenticated-orcid":false,"given":"Jesus Vicente","family":"Gimenez","sequence":"additional","affiliation":[{"name":"Universidad Internacional de Valencia (VIU), 46002 Valencia, Spain"},{"name":"Faculty of Health Sciences, Universidad Isabel I, 09003 Burgos, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1741-5566","authenticated-orcid":false,"given":"Jorge","family":"Garcia-Unanue","sequence":"additional","affiliation":[{"name":"IGOID Research Group, Department of Physical Activity and Sport Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2029-1277","authenticated-orcid":false,"given":"Jose Luis","family":"Felipe","sequence":"additional","affiliation":[{"name":"Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,19]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"What\u2019sa Qatar? 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