Abstract
All judo techniques fall into one of three categories, and each category is further subdivided. The three categories are: throwing techniques (nage waza), grappling techniques (katame waza), and striking techniques (atemi waza). The action of the hips is important in any tachi waza (standing techniques), but they are further classified as either te waza (hand techniques), koshi waza (hip techniques) or ashi waza (foot or leg techniques) depending on which part of the body plays the central role in executing the technique. The former involves taking a back-on-the-mat position, but sutemi waza (side sacrifice techniques) – side-on-the-mat position. In competition practice athletes use throws from all classification groups. In 2003 the most often applied techniques were from the arm technique group. The second was the shoulder technique, the third – the leg technique, the fourth – the hip technique, and the fifth – the risk group. In 2005 the techniques in the frequency remained the same. The differences were only in the leg and shoulder technique groups. The leg technique was ranked the second, but the shoulder technique – the third. The competition model changes in the studied time period between two world championships have been stated in all weight categories. The most significant changes were recorded in the medium and heavy weight categories. The percentage of throws decreased a lot in the shoulder technique (7%) and hip technique (6%) group, changes were the biggest in the heavy weight category. The applied hip technique increased (17%), but the arm technique decreased (16%).
Original language | English |
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Pages (from-to) | 92-100 |
Number of pages | 9 |
Journal | LASE Journal of Sport Science |
Volume | 3 |
Issue number | 1 |
Publication status | Published - 14 Jun 2012 |
Keywords*
- classification of techniques
- technical scope
- technique
- judo standing techniques
Field of Science*
- 3.3 Health sciences
Publication Type*
- 1.2. Scientific article included in INT1 or INT2 category journal of ERIH database