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Prediction and Analysis of Tokyo Olympic Games Swimming Results: Impact of the COVID-19 Pandemic on Swimmers’ Performance

Author

Listed:
  • Sabrina Demarie

    (Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Roma, Italy)

  • Emanuele Chirico

    (Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Roma, Italy)

  • Christel Galvani

    (Applied Exercise Physiology Laboratory, Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milano, Italy)

Abstract

Due to the COVID-19 pandemic in the 2019–2020 season, swimming competitions and training have been limited leading to a setback in performances. The study analyzed if, during the subsequent season, swimmers’ have been able to regain the lost performance. Swimming time trends were analyzed comparing Tokyo with Rio Olympics and with mathematically predicted results. The gap between the gold medalist and the last finalist, and the differences between men and women have also been considered. Swimming competition results of females and males, in 100 m and 200 m Freestyle and Backstroke, were collected from the Olympics’ official website. Results showed that at Tokyo Olympics almost all swimmers’ times improved as compared to Rio’s. Analysis of performance trends highlighted that performance progression does not proceed in a linear fashion and that is best predicted by more recent results. Women’s progression was higher than men’s and the gap between the first and last finalist constantly decreased, except for the Tokyo Olympics. In conclusion, the unprecedented Tokyo Olympic Games and qualification year seems not to have disrupted all Olympic swimmers’ performance, suggesting that stakeholders support and athlete’s coping ability might safeguard the subsistence of performance.

Suggested Citation

  • Sabrina Demarie & Emanuele Chirico & Christel Galvani, 2022. "Prediction and Analysis of Tokyo Olympic Games Swimming Results: Impact of the COVID-19 Pandemic on Swimmers’ Performance," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2110-:d:748491
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    References listed on IDEAS

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    1. Monoem Haddad & Zied Abbes & Iñigo Mujika & Karim Chamari, 2021. "Impact of COVID-19 on Swimming Training: Practical Recommendations during Home Confinement/Isolation," IJERPH, MDPI, vol. 18(9), pages 1-12, April.
    2. Weia Reinboud, 2004. "Linear models can't keep up with sport gender gap," Nature, Nature, vol. 432(7014), pages 147-147, November.
    3. Emese Csulak & Árpád Petrov & Tímea Kováts & Márton Tokodi & Bálint Lakatos & Attila Kovács & Levente Staub & Ferenc Imre Suhai & Erzsébet Liliána Szabó & Zsófia Dohy & Hajnalka Vágó & Dávid Becker & , 2021. "The Impact of COVID-19 on the Preparation for the Tokyo Olympics: A Comprehensive Performance Assessment of Top Swimmers," IJERPH, MDPI, vol. 18(18), pages 1-12, September.
    4. Sabrina Demarie & Christel Galvani & Veronique Louise Billat, 2020. "Horse-Riding Competitions Pre and Post COVID-19: Effect of Anxiety, sRPE and HR on Performance in Eventing," IJERPH, MDPI, vol. 17(22), pages 1-10, November.
    5. Fischer, Kai & Haucap, Justus, 2020. "Does crowd support drive the home advantage in professional soccer? Evidence from German ghost games during the COVID-19 pandemic," DICE Discussion Papers 344, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. Beat Knechtle & Athanasios A. Dalamitros & Tiago M. Barbosa & Caio Victor Sousa & Thomas Rosemann & Pantelis Theo Nikolaidis, 2020. "Sex Differences in Swimming Disciplines—Can Women Outperform Men in Swimming?," IJERPH, MDPI, vol. 17(10), pages 1-17, May.
    7. Maciej Hołub & Arkadiusz Stanula & Jakub Baron & Wojciech Głyk & Thomas Rosemann & Beat Knechtle, 2021. "Predicting Breaststroke and Butterfly Stroke Results in Swimming Based on Olympics History," IJERPH, MDPI, vol. 18(12), pages 1-12, June.
    8. Kai Fischer & Justus Haucap, 2021. "Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic," Journal of Sports Economics, , vol. 22(8), pages 982-1008, December.
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    2. Giulia My & Santo Marsigliante & Antonino Bianco & Daniele Zangla & Carlos Marques da Silva & Antonella Muscella, 2022. "Biological, Psychological, and Physical Performance Variations in Football Players during the COVID-19 Lockdown: A Prospective Cohort Study," IJERPH, MDPI, vol. 19(5), pages 1-18, February.

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