P. Buono, Miguel Ceriani, M. Costabile, Paola Valdivia
{"title":"足球进球领先阶段的视觉分析","authors":"P. Buono, Miguel Ceriani, M. Costabile, Paola Valdivia","doi":"10.1145/3464385.3464740","DOIUrl":null,"url":null,"abstract":"This work focuses on the use of a specific type of visualization to analyze soccer matches and highlight individual players’ goal contributions. An analytic approach in team sports is nowadays considered crucial by both practitioners and other interested parties such as fans or betters. In soccer, the analysis of sequences of passes and shoots can help the analysts understanding some aspects of the performance of players and teams. We show how, through a compact representation of n-ary temporal relationship, users can get a comprehensive view of the evolution of the passes leading to a goal in several matches. The dataset considered in this work contains data from the first 26 weeks of the season 2019-2020 of the Italian major soccer league.","PeriodicalId":221731,"journal":{"name":"CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Visual Analysis of Goal-Leading Phases in Soccer\",\"authors\":\"P. Buono, Miguel Ceriani, M. Costabile, Paola Valdivia\",\"doi\":\"10.1145/3464385.3464740\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work focuses on the use of a specific type of visualization to analyze soccer matches and highlight individual players’ goal contributions. An analytic approach in team sports is nowadays considered crucial by both practitioners and other interested parties such as fans or betters. In soccer, the analysis of sequences of passes and shoots can help the analysts understanding some aspects of the performance of players and teams. We show how, through a compact representation of n-ary temporal relationship, users can get a comprehensive view of the evolution of the passes leading to a goal in several matches. The dataset considered in this work contains data from the first 26 weeks of the season 2019-2020 of the Italian major soccer league.\",\"PeriodicalId\":221731,\"journal\":{\"name\":\"CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3464385.3464740\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3464385.3464740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work focuses on the use of a specific type of visualization to analyze soccer matches and highlight individual players’ goal contributions. An analytic approach in team sports is nowadays considered crucial by both practitioners and other interested parties such as fans or betters. In soccer, the analysis of sequences of passes and shoots can help the analysts understanding some aspects of the performance of players and teams. We show how, through a compact representation of n-ary temporal relationship, users can get a comprehensive view of the evolution of the passes leading to a goal in several matches. The dataset considered in this work contains data from the first 26 weeks of the season 2019-2020 of the Italian major soccer league.