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This study aims to compare the static and dynamic balance in adolescents' handball and soccer players. 32 male student national athletes: soccer (N= 17), handball (N= 15) between 15-18 years of age and at least 3 training years were included to the study. Assessment of static and dynamic balance was measured with Prokin 5.0 Technobody. There were no significant differences found between handball and soccer players on static and dynamic balance tests. We think that there are similar movements used often by both group, like faking and changing direction. On the other hand, there was found significant difference between right and left leg of soccer players perimeter scores for unipedal (Forward-Backward) dynamic balance slalom tests, when were compared within each group { t (15)= -3,158, p < 0,01 }. Unipedal (F-B) dynamic balance slalom tests score of right leg was better than left leg for soccer players, but, there were no significant differences for handball players (p>0,05). All of the soccer players are dominantly using their right leg. In addition, this result might relate training methods and years, experience, muscle force asmmetry. On the other hand, handball players's dominant legs are also right, but their usually jumping legs are left.

This study aims to search the effects of plyometric education trainings which was applied for 10-week on static-dynamic balance and some psychomotor characteristics of students who were been handball team of school. The female students-players (N=16) who are in age 14,57±0,92 years. All student have got 3,66±0,63 years sport experience. Plyometric education trainings were performed twice a week for 10-week in the trainings of school handball team. Parameters such as body weight, height, vertical jump, standing long jump, 30m speed, agility, flexibility, and static-dynamic balance were measured and anaerobic power was calculated by Lewis formula. The SPSS 15.0 program was preferred for the statistics. Descriptive statistics were used for the analysis of psychomotor characteristics and paired sample t test was used for the differences between the pre-test and post-test of plyometric education training of the players. The significance level was set at 0.05. The differences were observed between the pre-test and post-test of plyometric education training of flexibility t(51)= -4,518 ; p= 0,00 , standing long jump t(12)= -8,129 ; p= 0,00 , anaerobic power t(01)= -3,018 ; p= 0,05 and left leg ellipse area at unipedal static balance t(39)= 2,399 ; p= 0,04 were found to be statistically significant (p≤0.05).

The aim of this study is to investigate the relationships between ball throwing velocity (BTV), and physical features and anaerobic power (AP) for talent identification in team handball players. Players (n: 54) at 21,91 ± 4,94 age, training experience 11,19 ± 4,46 years participated voluntarily to study. These players consist of 54 Turkish national team female players. Spearman Correlation analysis was used for statistical evaluation and significance level was accepted as p<0.05. All statistical analyses were applied in SPSS 17.0. AP was calculated with Lewis formula. Significant relationships were determined between body height (r= 0.393; p=,003), body weight (r= 0.397; p=,003), hand length (r= 0.391; p=,003), arm span (r= 0.462; p=,000) and BTV during the 3-step running throw (p<0.05). There were no significant relationships between BTV and training experience, body mass index, vertical jump height, AP (p>0.05). In conclusion, it was determined that body height, body weight, hand length and arm span influence BTV positively. It is suggested to coaches and physical education teachers that children who have great body height, hand size, and arm span should be considered during talent identification applies for team handball in school.

Purpose:The purpose of this study was to compare left and right leg balance parameters in young female handball players. Methods: 13 athletes (age: 15.07±0.19 years; height: 162.23±5.70 cm; body weight: 57.38±4.39 kg; BMI: 21.92±0.23 kg/m²; training age: 4.23±1.36 years) volunteered for the study. Normality test of the data was done using Shapiro-Wilk test, and variation homogeneity was tested using Levene's Test of Homogeneity of Variance. When the data showed non-parametric characteristics, Mann Whitney U-Test was used; when it was parametric, Independent Sample Test was used. SPSS 17 Software was used for statistical analysis, and the significance was determined as p≤0.05. Results:The results showed that when the mean speed of the left and right leg forward-backward velocity of the athletes was analysed, a significant difference was found in favour of the right leg (p≤0.05). Furthermore, a significant difference was found in favour of the right leg between means of the left and right leg perimeter of the athletes (p≤0.05). However, there found no difference between means of the left and right leg lateral velocity and ellipsis area of the athletes (p≥0.05). Conclusion:These results may show that due to the training ages of the athletes (4 years), branches of the athletes did not affect the results and their improvement were still in progress. It could also be due to the dominant leg of all the athletes being their right leg and/or due to the differences in their leg strength. The most important limitation of this study could be the fact that leg strength values were not included in the study. Generally, in handball, when the dominant arm of the athlete is their right, the leg at the opposite side is the one used for jumping. Nevertheless, in individual leg balance tests done with both legs, it is expected there be no difference between the values. For these differences not to cause any sport injuries and not to negatively affect the technical move performances, it is advised that coaches have lower extremity strength and balance exercises symmetrically done.