This study aimed to perform motor action and biomechanical analysis of techniques in female judo athletes separated by weight categories of 638 female bouts (103 extra lightweight <48 kg, 140 half lightweight 48>52 kg, 65 lightweight 52>57 kg, 73 half middleweight 57>63 kg, 77 middleweight 63>70 kg, 80 half heavyweight 70>78 kg and 60 heavyweight >78 kg). All bouts were analyzed following the phases of approach, gripping, defensive action, attack, also biomechanical analysis of techniques and groundwork was performed (p ≤ .05). Results indicated that lightweight athletes presented lower attempts to grip, right collar grip and left collar grip frequencies than other categories. Extra lightweight judokas presented lower right back grip and left back and sleeve grip frequencies as well as lower occurrence of techniques with arm and leg lever scored than half lightweight athletes, while half lightweight athletes demonstrated higher frequency of techniques with waist lever variable scored than lightweight ones. These findings should be considered for training prescription.
Key words
- time and motion analysis
- biomechanical analysis
- task performance and analysis
- martial arts
- motor control
- training
Notational analysis identifies action patterns, often referred to as ‘performance indicators’, in competitive situations (Myers et al., 2013). A technical-tactical analysis can help coaches and athletes develop specific training for properly applying the approach, grips, levers and throws during combat (Miarka et al., 2016a, 2016b, 2018). In fact, studies with judo athletes have shown that some of these variables present differentiated frequencies in winners and losers (Miarka et al., 2016b), in different age categories (Miarka et al., 2012, 2014) and gender (Sterkowicz-Przybycien et al., 2017). To the best of our knowledge, no studies have compared motor actions in the approach, gripping, defensive displacement, lever, counterattack and groundwork phases using the seven weight categories of female judo athletes.
During judo combat, motor actions of each combat phase are highly diversified and the relationships between these variables collectively represent an athlete’s attack system or fighting style (Miarka et al., 2017). Moreover, the taxonomy of typical judo throwing techniques (
Recently, Sterkowicz et al. (2013) reported that techniques based on a force couple were used less frequently (39.6%) than the techniques using a physical lever (60.5%), despite no differences between the occurrences of scoring techniques in both genders. Despite this important technical analysis using biomechanical classification, until now no differentiations have been made by weight category, which may help coaches understand how athletes’ anthropometry influences the levers of techniques performed during judo attacks.
If there are differences between groups, coaches can use the evidence presented herein to elaborate specific training for each weight category. In addition, strategies can be developed which stimulate skill acquisition and at the same time the athlete can use this strategy to neutralize their opponent’s strategy. Therefore, the aim of the present study was to analyze all female athletes classified for the 2012 Olympic Games divided into the seven weight categories considering the technical-tactical variables of approach, gripping, defensive actions, attack along with their biomechanical analysis and groundwork.
The present study considered elite judo athletes from each weight category who qualified for the Olympic Games in 638 competitive bouts separated according to weight divisions (103 extra lightweight <48kg, 140 half lightweight 48>52kg, 65 lightweight 52>57kg, 73 half middleweight 57>63kg, 77 middleweight 63>70kg, 80 half heavyweight 70>78kg and 60 heavyweight >78kg). All bouts were analyzed considering the motor actions and biomechanical aspects of techniques from 35 international competitions, including the following: the Olympic Games (London 2012), World Championship (Paris 2011), two editions of
The approach phase was subdivided into four categories according to the implemented movement pattern, including a right foot forward stance (
The attack phase of combat was characterized by the specific biomechanical principles, which were identified by the type of force couple applied or the length and point of application of the moment arm, as outlined by Sterkowicz et al. (2013). Throwing techniques which employed a force couple were designated as using: an arm lever, an arm/foot lever, trunk/leg lever, or a trunk/arm lever; while techniques described by the moment arm were designated as minimal length (applied at the opponent’s waist), medium length (applied at the opponent’s knee), variable length (below the opponent’s waist) or maximal length (applied at the opponent’s foot/ankle) (Sacripanti, 2012; Sterkowicz et al., 2013).
The defense in the standing phase was categorized by the manner in which the defending athlete changed his/her body position and orientation, right or left (
In order to guarantee ecological validity and to verify the elite status of the sample, competitive bouts were analyzed using several publically available judo video databases, including those provided by the International Judo Federation (
The reliability measures were assessed through intra-observer and inter-observer testing procedures on motor actions data provided by two experts with more than ten years of judo experience and university degrees in Physical Education. These experts analysed judo matches using FRAMI software. For inter-observer agreement, the first expert analysed 20 performances of athletes, while the second expert analysed the same 20 athletes (Miarka et al., 2011). After this procedure, the second expert performed the intra-observer agreement selecting 10 combats (20 athletes) in randomized order, before repeating the analysis an additional time. The reliability of this software was examined using Cohen’s Kappa (Miarka et al., 2017). The following Kappa values and strength of agreement classifications were used from the distribution for each variable: 0.0-0.2, poor; 0.210.40, fair; 0.41-0.60, moderate; 0.61-0.80, substantial; 0.81-10, almost perfect (Miarka et al., 2017).
Descriptive data are presented as median and mean (25th percentile; 75th percentile) values, Kruskal-Wallis followed by
The index of Kappa values of combat/pause phases and motor actions verified in the present study were classified as “Almost Perfect” or “Strong” in 100% of intra-expert comparisons and in 88% of inter-expert comparisons, with the following inter-expert and intra-expert values: 0.74 and 0.82 for the approach phase, 0.88 and 0.92 for the right foot forward position, 0.80 and 0.87 index for the left foot forward position, 10 and 10 index for the frontal foot position, 0.15 and 0.95 index for trying to grip, 0.45 and 0.96 for the gripping phase, 0.92 and 0.96 for gripping on the right back, 0.40 and 0.93 for gripping on the right back/sleeve, 10 and 10 for gripping on the left back, 0.91 and 10 for gripping on the left back/sleeve, 0.79 and 0.75 for gripping on the right collar, 0.56 and 0.78 for gripping on the right collar/sleeve, 0.21 and 0.72 for gripping on the left collar, 0.43 and 0.93 for gripping on the left collar/sleeve, 0.53 and 0.97 for gripping on the right/left collar, 0.53 and 0.97 for gripping on the right sleeve, 0.57 and 0.92 for gripping on the left sleeve, 10 and 10 for the arm/leg lever, 10 and 10 for the trunk/arm lever, 10 and 10 for the arm lever, 0.62 and 0.67 for the trunk/leg lever, 10 and 10 for the variable length moment arm, 0.63 and 0.95 for the maximal length moment arm, 0.90 and 10 for the medium length moment arm, 10 and 10 for the minimal length moment arm, 0.84 and 0.90 for the defensive phase, 0.82 and 0.82 for use of counter-attacks, 0.74 and 0.77 for use of
Figure 1 demonstrates the frequencies of combat phases by combat.
When comparing the approach frequencies (
For the total attack analysis (
No effects were observed for total frequencies of gripping (
Table 1 demonstrates a descriptive analysis of the approach of motor actions.
Approach motor actions in all female weight categories.
5 (.0;11) | 2(.0;9)a | 5(1;9) | 3(.0;11) | 2(.0;6) | 1(.0;7) | 1(.0;6) | |
.0(.0;4) | 2(.0;1)b | .0(.0;1.5) | .0(.0;4) | 1(.0;7) | 1(.0;7.8) | 1(.0;6) | |
1 (.0;5) | 1(.0;3) | 1(.0;3.5) | 1(.0;3) | 1(.0;3.8) | 1(.0;2) | .0(.0;2) |
Regarding approach phase actions, by analysing the
Motor actions analysis of attempts to dominate the opponent in all female weight categories.
Gripping | EL | HL | L | HM | M | HH | H |
---|---|---|---|---|---|---|---|
Gripping attempts | 9 (5;14) | 1(6;16.8) | 6(2.5;1)a | 11(5;16) | 1(6;13) | 8(3;13) | 7(3;12)b |
Right back | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Right back sleeve | .0(.0;.0)b | .0(.0;2) | .0(.0;.1) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;.1) |
Left back | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Left back sleeve | .0(.0;1)c | .0(.0;1.1) | .0(.0;2) | .0(.0;2) | .0(.0;1) | .0(.0;1) | .0(.0;1) |
Right collar | .0(.0;3) | .0(.0;4) | .0(.0;1.5)e | .0(.0;3) | .0(.0;5) | .0(.0;4) | .0(.0;4) |
Right collar sleeve | .0(.0;2) | 1(.0;4) | .0(.0;1)d | 1(.0;3) | 1(.0;4) | 1(.0;4) | 1(.0;2) |
Left collar | 1(.0;3) | 2(.0;6.8) | 1(.0;4)e | 2(.0;5) | 2(1;6) | 2(.0;5) | 2(.0;5) |
Left collar sleeve | 2(.0;6) | 1(.0;4) | 3(1;6) | 2(.0;6) | 1(.0;5) | .5 (.0;4) | 1(.0;4) |
Collar collar | .0(.0;1) | .0(.0;1) | .0(.0;2.5) | 1(.0;2) | .5 (.0;2) | .0(.0;2) | .0(.0;2) |
Right sleeve | .0(.0;1) | .0(.0;1)f | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) |
Left sleeve | .0(.0;1) | .0(.0;2)f | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) |
Sleeve sleeve | 2(.0;6) | 2(.0;4) | 1(.0;4) | 1(.0;3) | 1(.0;4) | 1(.0;3) | .0(.0;2) |
Biomechanical analysis of attempts and scored attacks in all female weight categories.
Attacks analysis | |||||||
Arm lever | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Arm and leg lever | 2(.0;4) | 2(1;5) | 2(1;6.5) | 2(.0;5) | 2(.0;6) | 3(1;6) | 1(.0;4) |
Arm and leg lever with score | .1(.0;0.5)b | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Minimum lever | .0(.0;.0) | .0(.0;1) | .0(.0;.0) | .0(.0;010) | .0(.0;1) | .0(.0;1) | .0(.0;.0) |
Trunk leg lever | 1(.0;3) | 1(.0;3) | 1(.0;2) | 1(.0;3) | 1(.0;3.8) | 1(.0;4) | .0(.0;2) |
Trunk leg lever with score | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Waist lever variable | 1(.0;3) | 1(.0;3) | .0(.0;2) | 1(.0;3) | 1(.0;3) | 1(.0;3) | 1(.0;3) |
Waist lever variable with score | .0(.0;.0) | .1(.0;0.5)c | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Maleolo lever | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;2)d | .0(.0;1) | .0(.0;1) | .0(.0;1) |
Maleolo lever with score | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
For gripping attempt frequencies, a significant difference was observed between categories (
Statistical analysis demonstrated significant differences between right and left collar grip frequencies (
Defensive and groundwork actions in all female weight categories.
Defense | EL | HL | L | HM | M | HH | H |
---|---|---|---|---|---|---|---|
Counterattack | .0(.0;1) | .0(.0;0.8) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;.0) |
Right | 1(.0;2) | 1.5 (.0;3) | 1(.0;3) | 1(.0;3) | 2(1;4) | 1(.0;3) | 1(.0;3) |
Left | 1(.0;3) | 2(1;4)a | 1(.0;3) | 1(.0;3) | 2(1;4) | 2(.0;3) | 1(.0;2) |
.0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | |
.0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | |
.0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | |
Passive position | 5(3;1.0) | 6(3;1.0)b | 4(2;8) | 6(3;1.0) | 4.5 (2;8.8) | 5(2;8.8) | 3(2;8) |
For technical biomechanical analysis, differences between categories were observed when comparing the techniques with the arm and leg lever scored (
Significant differences were observed when comparing the frequency of techniques with the maleolo lever attempted (
Significant differences were observed when comparing the frequency of left
Figure 1
Box-plot of combat phases frequencies Note: Plots by median (25º;75º percentiles). EL = Extra Lightweight; HL = Half Lightweight; L = Lightweight; HM = Half Middleweight; M = Middleweight; HH = Half Heavyweight; H = Heavyweight. # = significant difference when compared with the half-lightweight category; & = significant difference when compared with the heavyweight category, p ≤ .05

Studies with technical-tactical analysis enable practical application because the results can be used by coaches to prepare specific training aiming towards a specific category in which the athlete competes (Bartlett, 2001). In this sense, some studies have specifically investigated technical-tactical actions in judo athletes (Miarka et al., 2011, 2012, 2014, 2016a, 2016b). However, studies performed so far have not analyzed separately the actions in the seven female weight categories. The main results of the present study indicated that the half lightweight category showed higher approach attempts and
The technical-tactical analysis in judo allows to structure specific training that simulates competitive demands (Marcon et al., 2010), thus the results shown herein can be used by coaches to prepare the athletes to compete at the international level, focusing on the specific actions of their weight category.
The approach and gripping actions are essential for efficient application of throws, as an athlete who does not take the initiative in the handgrip tends to have difficulties dominating their opponent (Miarka et al., 2016). Coaches consider that taking the initiative is a factor which puts the athlete at an advantage (Calmet et al., 2010), therefore specific sessions are designed to approach and grip with speed and in position to grip the opponent’s kimono. Del Vecchio et al. (2014) state that specific information about the approach and gripping is very important for coaches to incorporate into training to adjust and enhance the movements which result in specific tactical acquisition.
Miarka et al. (2016b) observed that winners in competitions of the international Judo Federation and the Olympic Games had a lower approach time and higher gripping frequency. Our results indicated that differentiated attention should be directed to the half lightweight category, since athletes in this category tended to make left defensive movements and presented a lower frequency of right defensive actions, so that specific tactics can be elaborated for athletes in this category to anticipate the movements of their opponents. Since the lightweight and heavyweight athletes have a lower handgrip frequency, it is recommended that higher attention be paid to movements that may eliminate the gripping advantage of the opponents for this group of athletes.
In order to dominate an opponent it is necessary to be incisive in the approach and gripping, and choose a gripping variation which gives an advantage, since the athlete generally tends to apply the gripping pattern which enables a biomechanical advantage to apply the athlete’s favorite throwing techniques (Sterkowicz-Przybycien et al., 2017). The approach and gripping phases are critical to high level performance, as Calmet et al. (2010) observed that experienced athletes performed those phases with high speed and less movements when compared to beginners and intermediates.
Biomechanical aspects seem to determine the type and preferred gripping, since athletes in lighter categories (possibly smaller in stature) least apply back gripping. Special attention should be directed to lightweight athletes who present higher prevalence of left collar sleeve grips. Specific training can bring benefits to athletes as long as they can perform the preferred actions, as Miarka et al. (2016b) noted experienced athletes dominated more tasks and were able to perform complex movement patterns in less time compared to beginners. In addition, strategies should be created to block the opponent’s initial attempt, because international high-level athletes assume opposition when they do not get an advantage at first contact with the opponent’s kimono (Calmet et al., 2010). Another aspect to be highlighted is the lower gripping variation in all categories. In a previous study, Sterkowicz-Przybycien et al. (2017) found that female athletes tended to present a single gripping pattern, and while those data can be partially confirmed in the present study, this fact may be important in this combat phase and deserves more consideration by coaches.
Our results partially corroborate the work presented by Miarka et al. (2012), in which the highest frequency of attacks presented by female athletes included
Miarka et al. (2016b) observed that Olympic female champions presented higher volume of groundwork actions. The study’s results are limited to observational technical-tactical and biomechanical analysis of combat; however, we acknowledge that this technique does not enable measuring biomechanical performance, which should be considered for training prescription. The present results encourage coaches to use performance analysis, helping female athletes in their weight categories. For instance, our findings indicated that lightweights presented lower attempts to grip, while middle female athletes demonstrated a higher frequency of techniques with the waist lever variable scored than the lightweight category. Such information as well as other particulars may assist athletes in improving their skills, helping them become stronger, and fight better. Knowledge about female judo is scarce, and therefore athletes depend on coaches to observe them during practice and championships to provide valuable feedback. The more coaches analyze, the more they can verify the strengths and challenges that need to be addressed.
Based on our objectives, applied methods and obtained results, we conclude that weight categories have different performance characteristics which should be considered for training prescription. In summary, it was noted that the half lightweight category showed higher approach attempts, higher pause time in groundwork combat and lower left
Figure 1

Approach motor actions in all female weight categories.
5 (.0;11) | 2(.0;9)a | 5(1;9) | 3(.0;11) | 2(.0;6) | 1(.0;7) | 1(.0;6) | |
.0(.0;4) | 2(.0;1)b | .0(.0;1.5) | .0(.0;4) | 1(.0;7) | 1(.0;7.8) | 1(.0;6) | |
1 (.0;5) | 1(.0;3) | 1(.0;3.5) | 1(.0;3) | 1(.0;3.8) | 1(.0;2) | .0(.0;2) |
Motor actions analysis of attempts to dominate the opponent in all female weight categories.
Gripping | EL | HL | L | HM | M | HH | H |
---|---|---|---|---|---|---|---|
Gripping attempts | 9 (5;14) | 1(6;16.8) | 6(2.5;1)a | 11(5;16) | 1(6;13) | 8(3;13) | 7(3;12)b |
Right back | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Right back sleeve | .0(.0;.0)b | .0(.0;2) | .0(.0;.1) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;.1) |
Left back | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Left back sleeve | .0(.0;1)c | .0(.0;1.1) | .0(.0;2) | .0(.0;2) | .0(.0;1) | .0(.0;1) | .0(.0;1) |
Right collar | .0(.0;3) | .0(.0;4) | .0(.0;1.5)e | .0(.0;3) | .0(.0;5) | .0(.0;4) | .0(.0;4) |
Right collar sleeve | .0(.0;2) | 1(.0;4) | .0(.0;1)d | 1(.0;3) | 1(.0;4) | 1(.0;4) | 1(.0;2) |
Left collar | 1(.0;3) | 2(.0;6.8) | 1(.0;4)e | 2(.0;5) | 2(1;6) | 2(.0;5) | 2(.0;5) |
Left collar sleeve | 2(.0;6) | 1(.0;4) | 3(1;6) | 2(.0;6) | 1(.0;5) | .5 (.0;4) | 1(.0;4) |
Collar collar | .0(.0;1) | .0(.0;1) | .0(.0;2.5) | 1(.0;2) | .5 (.0;2) | .0(.0;2) | .0(.0;2) |
Right sleeve | .0(.0;1) | .0(.0;1)f | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) |
Left sleeve | .0(.0;1) | .0(.0;2)f | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) |
Sleeve sleeve | 2(.0;6) | 2(.0;4) | 1(.0;4) | 1(.0;3) | 1(.0;4) | 1(.0;3) | .0(.0;2) |
Defensive and groundwork actions in all female weight categories.
Defense | EL | HL | L | HM | M | HH | H |
---|---|---|---|---|---|---|---|
Counterattack | .0(.0;1) | .0(.0;0.8) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;.0) |
Right | 1(.0;2) | 1.5 (.0;3) | 1(.0;3) | 1(.0;3) | 2(1;4) | 1(.0;3) | 1(.0;3) |
Left | 1(.0;3) | 2(1;4)a | 1(.0;3) | 1(.0;3) | 2(1;4) | 2(.0;3) | 1(.0;2) |
.0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | |
.0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | |
.0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | |
Passive position | 5(3;1.0) | 6(3;1.0)b | 4(2;8) | 6(3;1.0) | 4.5 (2;8.8) | 5(2;8.8) | 3(2;8) |
Biomechanical analysis of attempts and scored attacks in all female weight categories.
Attacks analysis | |||||||
Arm lever | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Arm and leg lever | 2(.0;4) | 2(1;5) | 2(1;6.5) | 2(.0;5) | 2(.0;6) | 3(1;6) | 1(.0;4) |
Arm and leg lever with score | .1(.0;0.5)b | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Minimum lever | .0(.0;.0) | .0(.0;1) | .0(.0;.0) | .0(.0;010) | .0(.0;1) | .0(.0;1) | .0(.0;.0) |
Trunk leg lever | 1(.0;3) | 1(.0;3) | 1(.0;2) | 1(.0;3) | 1(.0;3.8) | 1(.0;4) | .0(.0;2) |
Trunk leg lever with score | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Waist lever variable | 1(.0;3) | 1(.0;3) | .0(.0;2) | 1(.0;3) | 1(.0;3) | 1(.0;3) | 1(.0;3) |
Waist lever variable with score | .0(.0;.0) | .1(.0;0.5)c | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
Maleolo lever | .0(.0;1) | .0(.0;1) | .0(.0;1) | .0(.0;2)d | .0(.0;1) | .0(.0;1) | .0(.0;1) |
Maleolo lever with score | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) | .0(.0;.0) |
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