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Contribution analysis of scoring in the soccer game: Using decision tree
Journal of the Korean Data & Information Science Society 2019;30:1385-97
Published online November 30, 2019;  https://doi.org/10.7465/jkdi.2019.30.6.1385
© 2019 Korean Data and Information Science Society.

Dae Kee Min1

1Department of Statistics and Information, Duksung Women’s University
Correspondence to: Professor, Department of Statistics and Information, Duksung Women’s University, Seoul 132714, Korea. E-mail : dkmin@duksung.ac.kr

This study was supported by the 2018 Duksung Women’s University grant.
Received July 19, 2019; Revised September 15, 2019; Accepted September 29, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In soccer games, scoring is a very important factor in determining the team’s winning and ranking. Depending on the situation of the game, the contribution of each score to the winning game in soccer can vary. Even if each player scores a different number of goals in a particular game, the tactics of the game can vary depending on the situation, and the psychological aspect can dominate the game. In this study, we used the K - league games played between 2013 and 2017 to study the contribution of the goal of winning the game.
Keywords : Conditional probability, contribution, correlation, decision tree.