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http://dx.doi.org/10.14400/JDC.2021.19.5.461

A Study of Influencing Factors on World Handball Win-Loss using the Decision Tree Analysis  

Kim, Hyunchul (Seoul Sports Council)
Publication Information
Journal of Digital Convergence / v.19, no.5, 2021 , pp. 461-468 More about this Journal
Abstract
The purpose of this study is to collect official records of the 2019 Men's and Women's Handball World Championships to identify important shooting variables that determine the team's record of winning or losing. After collecting 192 games of men's and women's national teams from 24 countries and verifying the difference in competition records according to the winning and losing groups, the decision tree method, one of the data mining techniques, is analyzed. According to the analysis, the 9m shooting success rate and Near shooting success rate were the most important factors for both men and women. Men win 83.3% if the 9m shooting success rate is 32.5% or higher and the Near shooting success rate is 67.5%, and women win 75% if the 9m shooting success rate is 75% or more and the Near shooting success rate is 51%. Also, the women's yellow cards are considered important variables that determine victory or defeat. In conclusion, both men and women were able to identify the factors of winning and losing decision shooting, but follow-up studies are needed considering the relativity of various record variables and performance in future handball.
Keywords
Data mining; Performance analysis; Handball shooting; Data analysis;
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