Cross-country skiing sport elite: competitive progress modeling
ˑ:
PhD, Professor A. G. Batalov1
O.O. Bakulina2
1Russian State University of Physical Education, Sport, Youth and Tourism (SCOLIPE), Moscow
2Gubkin Russian State University of Oil and Gas (National Research University), Moscow
Abstract
Objective of the study was to forecast individual competitive/ technical progress of the national elite cross-country skiers in the top-ranking international events.
Methods and structure of the study. We analyzed the long-term progress statistics of the national elite cross-country skiers to profile the competitive speed in the men’s 10km/ 15km/ 50km and women’s 5km/ 10km/ 30km cross-country skiing classic and freestyle events, with the comparative and regression analyses – to offer regression equations; forecast the competitive technical performances in the upcoming Olympic season and potential competitive accomplishments in the individual races and mass-start events of the Beijing Olympics.
Results and conclusion. The average competitive technical progress of the men's group was estimated at 0.4% and 0.3% and women’s group at 0.39% and 0.6% per year in the freestyle and classic events, respectively. We used the progress statistics to develop the competitive technical progress forecasts for the current macro-cycle and individual competitive performance forecasts for the individual and mass-start events of the 2020 Olympics in Beijing.
Keywords: elite cross-country skiers, long-term competitive/ technical progress, regression analysis, progress forecast in cross-country skiing
References
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