Relevance. Ski mountaineering sprint is a new Winter Olympic discipline that requires a systematic approach to performance analysis. The lack of standardized methods makes it difficult to objectively assess athletes’ training and compare results between different competitions. Objective. Development of a comprehensive ontologically oriented methodology for analyzing athletes’ performances in the Olympic sports discipline "ski mountaineering sprint"with a system of indicators for multidimensional assessment. Methods. Expansion of the BBC Sport Ontology for ski mountaineering; development of an algorithm for analyzing data on distance sections; creation of a system of basic, dynamic and tactical indicators; implementation of the algorithm in MATLAB with visualization of results. Results. An extended ontology with 17 additional classes and 32 properties, including altitude parameters, was created. A system of 15 indicators, including dynamic, tactical and altitude-velocity metrics, was developed. An analysis algorithm enabling comparison of results between rounds was implemented. Using the data from the Chamonix World Cup in 2026 as an example, the effectiveness of the methodology is shown. Conclusion. The proposed methodology allows a comprehensive analysis of athlete performances at different levels of detail. It can be used for tactical planning, assessing athlete progress and comparing results across different competitions.
Timme et al. (Sun,) studied this question.