Introduction: The aim of the study was to examine relationships between power of the lower limb and agility, speed, and change of direction (COD) deficit in professional female soccer players. Material and methods: Thirty-three elite Polish Extraliga league soccer players (aged 22 ±5 years; body height 166 ± 4 cm; body weight 58 ± 8 kg) performed the following fitness tests: lower limb muscle power (Leg Press, Half Squat, Counter Movement Jump), straight linear speed (SLS 20 m), and COD speed ( Zig-Zag test, COD deficit). Using the median value as a reference, the players were subdivided into two groups (n=17; n=16) according to their LP, HS 60% 1RM, CMJ (High values below median = stronger group and Low = weaker group ). Results: The COD deficit was calculated as the difference between the 20m speed and the Zig-Zag test. The stronger group was better than the weaker group in SLS 20m (p<0.05; ES=1.23; 0.83; 0.93), but in the Zig-Zag agility test, the difference in the results was not statistically significant (p>0.05; ES=0.48; 0.34; 0.34) and this affected the COD deficit, which was higher (p<0.05; ES=0.9; 0.73; 0.72). The most important finding was that the stronger group had a higher COD deficit and its improvement (reduction) occurs only if the results of the agility test are improved (through agility training) [Ydeficit All groups=0.10+0.87*20m - 0.83* Zig-Zag]. Increasing power (HS, LP) lead to the improvement in SLS p<0.05, not to COD abilities. Conclusion: This can be useful for coaches during agility training and to improve COD deficit in soccer players and women in general.
Background: The main objective of this research was to determine a model of the Speed Abilities Development Index (SADI) in selected teams of the top league, the first and the second league in Poland. The indirect aim was to determine the most significant predictors that have the greatest effect on development of this model. Material and methods: The study examined a group of randomly selected 20 athletes (age 24 ± 3years) from four Polish premium league soccer teams, four teams of the first league and four teams of the second league, what amounted to 60 randomly selected players. The following independent variables related to starting and absolute running were considered: 5 m, 20 m, 30 m, 520 m, 530 m, 2030 m. Results: In the group of top league players the model determined the following predictors of speed as most significant: the sprint time of 5 to 30 m segment run, the sprint time recorded between 20 to 30 m and the mean result of the RAST. In the group of players from the first and second leagues, the predictors included: the time of 20 to 30 m run, mean result of the RAST and the sprint time of the 5 m run. Conclusions: A good soccer player should be prepared for both short (5 to 20 m) and longer (30 to 50 m) runs at the highest speed possible.
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