Özet:

Purpose: It is important to set the correct pace throughout the competition in the race-walking. It is seen as an important performance component for trainers to develop a strategic plan for race-walking competitions. The aim of this study is to create models according to the average speed change attitude of the athletes divided into different performance groups according to the results of the major race-walking competitions. Material & Method: The study findings from the results of the competitions, the 2 km intermediate transition times in the competitions were recorded for each athlete. By using these times, the averages of the lap transition speeds of the athletes were calculated both cumulatively and separately for each 2 km. Findigs: Based on the findings, velocity variation models were created in three different performance groups. When the models are designing, the groups are podium athletes (Model A), the athletes (Model B) with better results than the Olympic entry standard, and the athletes (Model C) with below performance than the Olympic entry standard. It was seen that the highest speed value reached by the athletes within the scope of Model C in 2 km laps was accepted as 100% (3.51 m/s between 2-4 km), and an advantageous result could be achieved at the rate of 3.8% when the speed percentage distributions of Model A were applied to this group. If the competition speed percentage distributions of Model B are applied, this rate rises to 7.8%. The podium athletes (Model A) reached their maximum speed (3.8 m/s) in the 16-18 km phase of the competition, while the lowest speed was between 0-2 km with 3.64 m/s. It is a striking finding that the group with the lowest starting speed among the three models was in Model A, the podium athletes’ group. Results: As a result, three different competition strategy models based on the speed variables of the athletes in different performance groups were introduced with the current research. To targeted competition results, coaches can use these models to create their own performance strategies or adapt these models according to their priorities.

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