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Taekwondo win-loss determining factors using data mining-based decision tree analysis: focusing on game analysis for
1Department of International Sport, Dankook University, Chungcheongnam-do, Korea.
Decision tree analysis of the 2022 World Taekwondo Championships reveals key factors for winning. Winning situations, tie situations, and number of kicks significantly determine taekwondo match outcomes.
Area of Science:
- Sports Science
- Data Mining
- Kinesiology
Background:
- Taekwondo (TKD) competition analysis is crucial for performance enhancement.
- Understanding determinants of winning and losing is vital for strategic development.
- The study focuses on the 2022 World Taekwondo Championships women's competition.
Purpose of the Study:
- To identify key determinants of winning and losing in taekwondo.
- To apply decision tree analysis, a data mining technique, to competition data.
- To analyze factors influencing outcomes under current taekwondo rules.
Main Methods:
- Utilized data from 272 women's taekwondo matches at the 2022 World Championships.
- Performed independent sample t-tests to compare game variables between winning and losing groups.
- Employed decision tree analysis to identify significant predictors of match outcomes.
Main Results:
- Most game content variables showed statistically significant differences between winning and losing groups (p < 0.05).
- Body attack attempts and number of kicks did not show significant differences (p > 0.05).
- Decision tree analysis identified winning situation, tie situation, and number of kicks as critical determinants.
Conclusions:
- The study provides data-driven insights into taekwondo match dynamics under current rules.
- Identified factors can inform coaching strategies for performance improvement.
- Highlights the utility of data mining techniques in sports analysis.
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