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Skiing

CHALLENGE 4

Algorithmic Course Setting in Alpine SkiPrioritize Your Health

Title:
Use Machine Learning to optimize your ski run.

Challenge Description
Visualize the athlete data to create an understanding of the athletes' skills and profile. Find the optimal run time and time gates before the athlete even needs to put on their skis.

Post: Welcome

Giant Slalom: Analysis of Course Setting, Steepness and Performance of Different Age Groups


 



The current study showed no differences in course setting between young and older groups. However, differences were found in the mean speed and turn phase parameters, more precisely in the completion and gliding phases. Results of this analysis form a basis to critically discuss the course setting, because they directly influence relevant performance parameters like speed and turning angles in the different age categories. Additionally, steepness influences the tactical strategy of young and older athletes in GS, which is important within the context of skills development.


The tactics used within a turn were different between young and older athletes which gives coaches new areas to work on with their athletes. Moreover, the finding that the older athletes spent more time in the gliding phase could be crucial for understanding technique and performance development in young athletes.





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