Data Analyses of European Soccer

Insight - Sports Science

View Publication Info
 
 
Field Value
 
Title Data Analyses of European Soccer
 
Creator Wang, Yiou
 
Subject Soccer; Data Analytics; Python; Statistics
 
Description Using European soccer data sets, which contain data related to common European soccer leagues, players basic information, and teams’ goals, etc., this paper analyzes the characteristics of European soccer and players, explores data visualization regarding European soccer, and makes predictions of results of matches. Based on Python 3 and some of the packages inside, such as numpy, the author improves the data set to make it clear and user-friendly. Visualizations of data and basic statistics, including Poisson Distribution, are then utilized to determine the results. Finally, this paper analyzes the attacking and defending abilities of different leagues and teams in Europe, ascertains distributions of players’ attributes, and predicts match results by using Poisson distribution and Skellam Distribution. Generally, this paper analyzes data from leagues to matches to players. All these analyses are meaningful for the public to understand the characteristics of European soccer and the world behind the numbers.
 
Publisher PiscoMed Publishing Pte Ltd
 
Contributor
 
Date 2020-08-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://insight.piscomed.com/index.php/ISS/article/view/339
10.18282/iss.v2i1.339
 
Source Insight - Sports Science; Vol 2, No 1 (Published)
2661-409X
10.18282/iss.v2i1
 
Language eng
 
Relation http://insight.piscomed.com/index.php/ISS/article/view/339/243
 
Rights Copyright (c) 2020 Yiou Wang
http://creativecommons.org/licenses/by-nc/4.0
 

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