An Assessment of Football Through the Lens of Data Science

Poojan Thakkar and Manan Shah ()
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Poojan Thakkar: Indus University
Manan Shah: Pandit Deendayal Petroleum University

Annals of Data Science, 2021, vol. 8, issue 4, No 9, 823-836

Abstract: Abstract The rise of Data Science and related fields of Big Data, Machine Learning, and Deep Learning has transformed the industrial landscape. The areas of sports and sports analytics are no exception. While to the layman, its influence may not be evident, but they have changed the way various sports are played up to different degrees. Hence, in recent times, sports institutions and clubs have given increased importance to such research that will ultimately help them have a competitive edge over rivals. The effects of these institutions incorporating these researches into their ways of competing have had impacts on and off the playing field. These effects aren’t only in terms of physiological enhancements of the athletes, but also socio-political and economic impacts as well. Out of the various sports implementing these techniques, we will focus on the effects mentioned above of Data Science on Football (“Soccer” in the USA). The following is a detailed review of the concepts as mentioned earlier.

Keywords: Data science; Sports; Football; Assessment (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s40745-021-00323-2

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