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Cuadernos de Psicología del Deporte

On-line version ISSN 1989-5879Print version ISSN 1578-8423

Abstract

GONZALEZ-PRADO, Cristina; IGLESIAS, Xavier  and  ANGUERA, M. Teresa. Regularities detection in high level of taekwondo. CPD [online]. 2015, vol.15, n.1, pp.99-110. ISSN 1989-5879.  https://dx.doi.org/10.4321/S1578-84232015000100010.

The aim of this study was to analyze the actions of male taekwondo combat at high levels in the 8 official weight classes (Mini flyweight: <54kg, Flyweight: 54-58kg, Bantamweight: 58-62kg, Featherweight: 62-67kg, Lightweight: 67-72kg, Super lightweight: 72-78kg, Middleweight: 78-84, Heavyweight: >84kg) in competition. An observation instrument was designed ad hoc, binded to a new recording instrument (Drewtina 23), which analyzed the actions taken out in combat. The study criteria were: the kind of offensive and defensive actions, technical actions and combat assaults. The observation was carried out at the finals of 6 championships and world cups from 2000 to 2008, for a total of 48 combats, involving 71 fighters. For the descrptive and inferential statistical analysis, PASW Statistics for Windows was used, and for the lag sequential analysis, SDIS-GSEQ was used. The results show that the offensive actions are more frequent than defensive ones, since counter-attack is the most utilized technique. The Middleweight class is characterized by the highest number of offensive actions, while the Superlightweight class is characterized by the highest number of defensive ones. The mean of actions for assault and combat is higher during the third time. More than 95% of the times, the fights are resolved at the end of the third time. The lag sequential analysis show that offensive actions act in favor of effective actions, while defensive actions act as inhibitors. The advantage in the scoreboard acts as inhibitor of the offensive actions and excitator of defensive actions in all weight classes.

Keywords : Tactical actions; technical actions; combat assalts; observational methodology; lag sequential analysis.

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