PURPOSE This study developed a video-based taekwondo match-analysis program and validated its usefulness as a match-analysis tool; women’s match videos from international competitions held after the revision of competition rules in June 2022 were used for this. METHODS Analysis was conducted on 78 women’s matches from international competitions that were held after the June 2022 revision of the rules, including the Chuncheon Asian Taekwondo Championships and the Rome Grand Prix. The analysis was performed using IBM SPSS Statistics 26 and jamovi 1.1.9.0 to examine the independence and conditional efficiency of linked techniques, perform cross-tabulation analyses, and conduct hierarchical log-linear analyses. The odds ratios of key techniques with reference to match outcomes were calculated using Microsoft Excel. The match analysis program was developed in a Python 3.x environment. RESULTS The video-based taekwondo match-analysis program was shown to be an effective tool for match analysis, integrating technique tagging, frame-synchronized analysis, collection of athlete position coordinates, and scoring and statistical functions that reflected both pre- and post-rule revisions. In addition, weight class, attack type, and key technique execution were identified as significant factors that explained match outcomes. Among the key techniques, punches was a relatively higher execution frequency and odds ratio in winning matches. CONCLUSIONS The video-based taekwondo match-analysis program that was developed in this study demonstrates practical usefulness as an empirical performance tool of analysis capable of integratively collecting and analyzing technical execution, competition rules, spatial information, and scoring data.
