Marathon Performance Depends on Pacing Oscillations between Non Symmetric Extreme Values.

Jean-Renaud Pycke,Véronique Billat

doi:10.3390/ijerph19042463

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.

Highlights

Marathon Performance DependsFor centuries, the limits of physiology and athletic records have fascinated scientists.In 2019, the sub-two-hour marathon barrier was broken with a time of 1:59:40.2
The results show that according to our hypothesis, we are testing the hypothesis that the ideal race, with the world’s best marathon runners, can have several degrees of optimization
We aim to show that an asymmetric distribution is optimal for marathon running, to delve deeper into the pace distribution, and to find the exact outline of the optimal pacing signature by analysing the official best world marathon performances by Dennis

Summary

Introduction

Marathon Performance DependsFor centuries, the limits of physiology and athletic records have fascinated scientists.In 2019, the sub-two-hour marathon barrier was broken with a time of 1:59:40.2. The limits of physiology and athletic records have fascinated scientists. In 1925, Nobel laureate Archibald Vivian (AV) Hill published “The Physiological Basis of Athletic Records” [1]. One century later, advances in wearable sensor technology have enabled real-time measurement of physiological data during exercise [2]. Future directions in training are going to be about encouraging marathon runners. The results show that according to our hypothesis, we are testing the hypothesis that the ideal race, with the world’s best marathon runners, can have several degrees of optimization. This can be observed in Kipchoge’s last five marathons, since

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