A. Rusu, D. Stoica, Edward Burns, Benjamin Hample, Kevin McGarry, Robert Russell
{"title":"Dynamic Visualizations for Soccer Statistical Analysis","authors":"A. Rusu, D. Stoica, Edward Burns, Benjamin Hample, Kevin McGarry, Robert Russell","doi":"10.1109/IV.2010.39","DOIUrl":null,"url":null,"abstract":"The analysis of large sums of soccer statistics can be extremely difficult if the data is not presented graphically. As a result, we developed an application, titled Soccer Scoop, which provides two separate visualizations that can aid a soccer team manager. With our application, a team manager can compare two players on different teams, analyze a particular player before signing them to a contract, measure the performance of a particular player at different positions, generate practice exercises, and determine if a particular player plays better on the road or at home. The visualizations used in our application apply information visualization techniques, such as glyphs, modified star plots, details on demand, color, and gestalt principles.","PeriodicalId":328464,"journal":{"name":"2010 14th International Conference Information Visualisation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 14th International Conference Information Visualisation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV.2010.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
The analysis of large sums of soccer statistics can be extremely difficult if the data is not presented graphically. As a result, we developed an application, titled Soccer Scoop, which provides two separate visualizations that can aid a soccer team manager. With our application, a team manager can compare two players on different teams, analyze a particular player before signing them to a contract, measure the performance of a particular player at different positions, generate practice exercises, and determine if a particular player plays better on the road or at home. The visualizations used in our application apply information visualization techniques, such as glyphs, modified star plots, details on demand, color, and gestalt principles.