The-Big-Five-European-soccer-leagues-data

OpenML dataset with id 43535

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Full work available at URL: https://api.openml.org/data/v1/download/22102360/The-Big-Five-European-soccer-leagues-data.arff

Upload date: 23 March 2022

Dataset Characteristics

Number of features: 15 (numeric: 9, symbolic: 0 and in total binary: 0 )
Number of instances: 44,269
Number of instances with missing values: 0
Number of missing values: 0

Description

Context

5 countries (Tha major five soccer leagues). 44269 games. 25 seasons. 226 teams.

Content All game scores of the big five European soccer leagues (England, Germany, Spain, Italy and France) for the 1995/96 to 2019/20 seasons. Acknowledgements The construction of the dataset was made possible thanks to football.db What's football.db?

 A free open public domain football database  scheme for use in any (programming) language e.g. uses datasets in (structured) text
 using the football.txt format.
 More football.db Project Site

Inspiration This data set could help:

        +   Analyse the evolution of football in the 5 major leagues over the last 25 years.
        +   Prepare all kinds of dashboards on the games, seasons, teamsetc.
        +   Analyze the differences between countries in terms of league level.
        +   Identify patterns, schemes in the dataetc.

Have fun!

This page was built for dataset: The-Big-Five-European-soccer-leagues-data