In 2020, we introduced two new gpexe web app tools designed to profile players. Precisely, to test them without testing them. Parallel to the Acceleration-Speed Profile, we have implemented a Metabolic Power Profile following the same “in-situ” concept, therefore starting from the training and matches data.
GPS systems are massively spread in outdoor team sports and permit to obtain large number of KPI to monitor and interpret physiological implications in sports. Considering legacy from physiology and experience from other sports, it seems to be interesting to investigate potential benefit of intensity distribution over time durations. This article aims to present methodology to create metabolic profile of team, players, or single session based on several years of experimentation with professional soccer players and proposed some applications.
External training intensity has been used since quite some time to monitor exercise training, rehabilitation programs and/or fitness level. Depending on the investigated sport, many approaches have been developed to quantify training intensities, based on speed, heart rate, lactate, power, or oxygen consumption. Thanks to the technological improvements that occurred over the last decades, such variables can nowadays be monitored during a match and/or a training session by means of portable devices such as GPS, inertial sensor or LPS systems. These improvements, combined with upgrades of game regulations allowing their use during official competitions, permit to collect massive cluster of data, thus helping scientists and coaches to gain a deeper understanding of the players’ athletic condition. Nevertheless, the great flexibility of these portable devices, coupled with the vast number of the available approaches often impose on sports scientists a set of difficult choices. The first of which is the selection of a convenient metrics, obviously including the measurement device and the settings of the metrics themselves (speed, heart rate, power), as well as their relevance, validity and reliability. The second important point is the identification of a clear-cut aim of the investigation (training volume, injury risk, fitness level, etc.). Finally, the third crucial point is the selection of the analytical tools, with the aim of making the collected data useful in view of the expected goal.
“How to obtain an individual metabolic power profile (MPP) by considering a specific time period of normal training?”
The full article is available for all the gpexe users in the “Documents” section of the gpexe academy.
Published on SportPerfSci
Johan Cassirame,¹ ² ³ Maxime Coulerot, ⁴ Christophe Manouvrier, ⁴ Cristian Osgnach, ⁵ Pietro Enrico di Prampero ⁶
¹University of Bourgogne Franche-Comte, Laboratory C3S (Culture Sport Health Society; EA 4660), Department Sport and Performance, UFR STAPS, 31 Chemin de l’Epitaphe, 25000 Besan ̧con,France
²EA 7507, Laboratoire Performance, Santé, Métrologie, Soci ́et ́e, Reims, France
³Mtraining, R& D Division, 25480 Ecole Valentin, France
⁴University of Picardie, Allée Paschal Grousset 80025 Amiens, France
⁵Exelio srl, Sport Science Department, Udine, Italy
⁶University of Udine, Department of Medical and Biological Sciences, Udine, Italy