Using FIFA Soccer video game data for soccer analytics
نویسندگان
چکیده
Soccer has become the most popular sport in the world over the last century, but very little is known about its structure. One of the main reasons for that is the lack of a large-scale dataset. Despite the sport being constantly discussed and recorded worldwide, in every season there are several events that neither specialists nor fans can characterize or predict accurately. In this paper, we propose the use of a new dataset, the FIFA Soccer video game dataset, to better understand soccer. We describe the available data, justify its use and discuss possible applications. Finally, we show the potential of the dataset by analyzing two recent widely discussed topics, the contrast between the Brazilian and German National teams in 2014 and FC Barcelona’s distinguished style in the 2012/13 season.
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