ArticleInternational journal of environmental research and public health2022
Marathon Performance Depends on Pacing Oscillations between Non Symmetric Extreme Values.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Pacing Profiles in Half-Marathon and Marathon Running Based on Performance Level, Sex, and Age: A Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- The physiology and psychology of negative splits: insights into optimal marathon pacing strategies.Frontiers in physiology · 2025Review
- Polarised crowd in motion: insights into statistical and dynamical behavior.Scientific reports · 2024Article
- Multidimensional Analysis of Physiological Entropy during Self-Paced Marathon Running.Sports (Basel, Switzerland) · 2024Article
- Brain, Metabolic, and RPE Responses during a Free-Pace Marathon: A Preliminary Study.International journal of environmental research and public health · 2024Article
- A Pilot Study Using Entropy for Optimizing Self-Pacing during a Marathon.Entropy (Basel, Switzerland) · 2023Article
- Heart Rate Does Not Reflect the %VOInternational journal of environmental research and public health · 2022Article
- Oxygen Uptake Measurements and Rate of Perceived Exertion during a Marathon.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A marathon was recently run in less than 2 h by a man who ran the three fastest marathons ever recorded in a span of three years-Eliud Kipchoge-in the Tokyo Olympic games. Here, we demonstrate that the best marathons were run according to a pace distribution that is statistically not constant and with negative asymmetry. The concept of mirror race enables us to show that the sign of asymmetry is not due to sampling fluctuations. We show that marathon performance depends on pacing oscillations between extreme values, and that even the best marathons ever run differ and can be improved upon. The utilization of extreme values and oscillations allows for recovery and optimization of the complementary aerobic and anaerobic metabolisms. Our findings suggest new ways to approach the pacing for optimizing endurance performance.
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Registered trials
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