{"title":"APPLICATION OF STATISTICAL INDICATORS IN FOOTBALL","authors":"M. Csipkés, György Czimbalinecz","doi":"10.47535/1991auoes31(1)027","DOIUrl":null,"url":null,"abstract":"In our article, we describe the different statistical indicators using secondary research. In our article, we show you in which areas of football the data can be used for analysis. We present in detail the data that can be used for player monitoring and sports betting. With the help of the primary research, we created an online questionnaire in which we asked footballers, professionals and fans about the topic. The results obtained are illustrated with figures and tables.\n\nIt is clear from the research that professionals, footballers and supporters share the same view, as the economic situation caused by the epidemic means that club teams have to rely much more on data-driven player monitoring. It’s a good idea to invest in players instead of buying overvalued football players. As described in our article, it is not possible to predict the outcome of a match with traditional statistical indicators (goal shots, corners, possession of the ball, etc.). This is because these statistics do not return an accurate picture of a match. These numbers are not suitable for drawing conclusions for a match. In our opinion, these numbers show the quantity and not the quality of the shot on goal.","PeriodicalId":53245,"journal":{"name":"Annals of the University of Oradea Economic Science","volume":"53 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of the University of Oradea Economic Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47535/1991auoes31(1)027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In our article, we describe the different statistical indicators using secondary research. In our article, we show you in which areas of football the data can be used for analysis. We present in detail the data that can be used for player monitoring and sports betting. With the help of the primary research, we created an online questionnaire in which we asked footballers, professionals and fans about the topic. The results obtained are illustrated with figures and tables.
It is clear from the research that professionals, footballers and supporters share the same view, as the economic situation caused by the epidemic means that club teams have to rely much more on data-driven player monitoring. It’s a good idea to invest in players instead of buying overvalued football players. As described in our article, it is not possible to predict the outcome of a match with traditional statistical indicators (goal shots, corners, possession of the ball, etc.). This is because these statistics do not return an accurate picture of a match. These numbers are not suitable for drawing conclusions for a match. In our opinion, these numbers show the quantity and not the quality of the shot on goal.