Competition Analysis of 100 m freestyle at the 2024 Olympic Games, Paris
H. Andonov
, B. Angelov
Abstract: Objective: Swimming is a sport with a stable kinematic structure and there is an established practice to observe and analyze the so called integral technical parameters: average speed, stroke rate (SR), cycle rate (CR), stroke length (SL), stroke count (SC) etc. Assessing these parameters could give us some insights of the tactical and physiological approaches for the 100m freestyle. Materials and methods: The performances of eight male swimmers competing in the final of the 100 m freestyle event at the 2024 Paris Olympic Games were obtained. Information was retrieved from the official publicly available web-site of the Paris Olympic Games and analyzed to determine specific indicators. Results: Descriptive statistics and partial correlation analysis were conducted. From the results, without surprise, we can highlight the strong correlation between the final time and the free-swimming time (0.771; p<0.005), as well as with the average speed (0.987; p<0.001). Discussion: The purpose of the present study is to track the values of the different components of the swimming distance, deriving their weight to the final result. In this way, we can highlight the most significant factors for success in the competition, as well as some tactical approaches. Conclusion: Successful athletes in the 100 m freestyle have better second part of the distance than their competitors, they swim final 25 m with higher velocity. Optimal ratio between cycle rate and stroke length is key for keeping higher average velocity. Athletes in the Olympic final have excellent performance in each segment of the swim, not just at one.
Series on Biomechanics, Vol.38, No.3 (2024), 42-47
DOI:10.7546/SB.05.03.2024
Keywords: Biomechanics; race data; starts; swimming
References: (click to open/close) | [1] Zhelyazkov Ts., D. Dasheva, 2001. Training and adaptation in sport. Xerox. English. [2] Mason, Bruce, Fowlie, Jim., 1997. Competition Analysis for High Performance Swimming.. [3] Smith, D.J., Norris, S.R., Hogg, J.M., 2002. Performance evaluation of swimmers: Scientific tools. Sports Med., 32, 539–554. [4] Morais, J.E., Marinho, D.A., Arellano, R., Barbosa, T.M., 2019. Start and turn performances of elite sprinters at the 2016 European Championships in swimming. Sports Biomech., 18, 100–114. [5] Miller, J., Hay, J., Wilson, B., 1984. Starting techniques of elite swimmers. Journal of Sports Sciences, 2, 213–223. [6] Pai, Y., Hay, J., Wilson, B., 1984. Stroking techniques of elite swimmers. Journal of Sports Sciences, 2, 225–239. [7] Chow, J., Hay, J., Wilson, B., Imel, C., 1984. Turning techniques of elite swimmers. Journal of Sports Sciences, 2, 241–255. [8] Veiga, S., Roig, A., Gomez-Ruano, M.A., 2016. Do faster swimmers spend longer underwater than slower swimmers at World Championships? Eur. J. Sport Sci. 2016, 16, 919–926. [9] Morais, J.E., Marinho, D.A., Arellano, R., Barbosa, T.M., 2019. Start and turn performances of elite sprinters at the 2016 European Championships in swimming. Sports Biomech. 18, 100–114. [10] Veiga, S., Cala, A., Frutos, P.G., Navarro, E., 2014. Comparison of starts and turns of national and regional level swimmers by individualized-distance measurements. Sports Biomech., 13, 285–295. [11] Arellano, R., Brown, P., Cappaert, J., Nelson, R.C., 1994. Analysis of 50-m, 100-m, and 200-m freestyle swimmers at the 1992 Olympic Games. J. Appl. Biomech., 10, 189–199. [12] Daly, D.J., Malone, L.A., Smith, D.J., Vanlandewijck, Y., Steadward, R.D., 2001.The contribution of starting, turning, and finishing to total race performance in male Paralympic swimmers. In Adapted Physical Activity Quarterly; Human Kinetics: Champaign, IL, USA, 2001 18, 316–333. [13] Cossor, J., & Mason, B., 2002. What can be learnt from start performances at the Sydney 2000 Olympic Games. Swimming in Australia, 18, 37–40. [14] Veiga S, Cala A, Mallo J, Navarro E., 2013. A new procedure for race analysis in swimming based on individual distance measurements. J Sports Sci. 31, 2, 159-65. doi: 10.1080/02640414.2012.723130. Epub 2012 Sep 18. PMID: 22989356. [15] Tor, E, Pease, D.L., Ball, K.A.,Hopkins, W.G., 2014. Monitoring the effect of race-analysis parameters on performance in elite swimmers. Int. J. Sports Physiol. Perform., 9, 633–636. [16] Thompson, K.G.; Haljand, R.; MacLaren, D.P. An analysis of selected kinematic variables in national and elite male and female 100-m and 200-m breaststroke swimmers. J. Sports Sci. 2000, 18, 421–431. [17] Yosifov, R. M. Kachaunov, Kr. Minkowski, 2021. Race distance segments of the medalists in the 100 meters’ butterfly of the european swimming championship. Yearbook of National Sports Academy "Vasil Levski", Volume 1, Sofia, NSA PRESS, 2022, 147-156. [18] Gonjo, T.; Olstad, B.H., 2021. Race Analysis in Competitive Swimming: A Narrative Review. Int. J. Environ. Res. Public Health, 18, 69. https://doi.org/10.3390/ijerph18010069 [19] Veiga, S, Roig, A., 2017. Effect of the starting and turning performances on the subsequent swimming parameters of elite swimmers. Sports Biomech., 16, 34–44. [20] Platonov, Vladimir, 2013. Sports training periodization. General theory and its practical applications. Кiev: Оlimpiyskaya literatura. [21] Wakayoshi K., D'Acquisto L., Cappaert J., Troup J., 1995. Relationship between Oxygen Uptake, Stroke Rate and Swimming Velocity in Competitive Swimming. Int. J. Sports Med. 16, 01, 19–23. doi:10.1055/s-2007-972957. [22] Sánchez L., Arellano R., Cuenca-Fernández F., 2021. Analysis and Influence of the Underwater Phase of Breaststroke on Short-Course 50 and 100m Performance. Int. J. Perform. Analysis Sport 21, 307–323. doi:10.1080/24748668.2021.1885838 [23] Olstad BH, Wathne H, Gonjo T., 2020. Key Factors Related to Short Course 100 m Breaststroke Performance. Int J Environ Res Public Health. 2020 Aug 27. 17,17, 6257. doi: 10.3390/ijerph17176257. PMID: 32867383; PMCID: PMC7503867. [24] Hopkins, W.G., 2024. A Scale of Magnitudes for Effect Statistics. Available online: http://www.sportsci.org/resource/stats/effectmag.html (accessed on 20 June 2024). [25] Arellano, Raul & Brown, Peter & Cappaert, Jane & Nelson, Richard., 1993. Analysis of 50-, 100-, and 200-m Freestyle Swimmers at the 1992 Olympic Games. J Appl Biomech. 10. 10.1123/jab.10.2.189.
|
|
| Date published: 2024-11-15
(Price of one pdf file: 39.00 BGN/20.00 EUR)