European-Soccer-Dataset-by-Role
OpenML dataset with id 43762
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102587/European-Soccer-Dataset-by-Role.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 31 (numeric: 27, symbolic: 0 and in total binary: 0 )
Number of instances: 25,979
Number of instances with missing values: 2,770
Number of missing values: 35,756
A modified version of the European Soccer Database by Hugo Mathien (https://www.kaggle.com/hugomathien). New players' performance indicators have been created from the original dataset. Data features:
+ 25,000 matches 11 European Countries with their lead championship Seasons from 2008 to 2016 25 role-based Performance Indicators: players and teams' attributes (sourced from EA Sports' FIFA video game series, including the weekly updates) have been subtracted by location (home - away) and averaged by match and role (X, Y coordinates of the team line up).
Acknowledgements
This dataset has been created in the academic research context and can be used without additional permissions or fees. The newly created indicators have been used to test the performance of several predictive models.
For more information about how the data have been treated and modeled, as well as if you like to use these data in a publication, presentation, or other research product, please consult/use the following citation:
Carpita, M., Ciavolino, E., Pasca, P. (2019). Exploring and modelling team performances of the Kaggle European Soccer database. Statistical Modelling, 19(1), 74-101.
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