your decisions,

strictly science-driven

Our innovative approach is the result of the teaming up with the pioneers of the metabolic power approach, a relationship which has strengthened over time. The gpexe R&D team, led by Prof. Pietro Enrico di Prampero and Cristian Osgnach, keeps implementing our analysis models, making gpexe the most advanced system available.

All the traditional parameters are available: speed zoneaccelerationsHR. Moreover, you can take advantage of the energy approach, which consists in calculating the metabolic power from the running energy cost (estimated) and the speed (measured), assuming that accelerated/decelerated running on flat terrain is biomechanically equivalent to uphill/downhill running at a constant speed.

the power of our metrics

make your decisions in the easiest and most effective way

collected data


Total Distance, Average Speed, Max Speed, Speed Zones, Acceleration Zones, Max Accelerations, Max Deceleration, Deceleration Zones, Walk Time/ Distance, Run Time/ Distance.

Muscle Power

Active Muscle Load, Average Active Muscle Power,
Eccentric Index.


Running direction, Jumps, Impacts, Dives

Metabolic Power

Total Energy, Equivalent Distance, Equivalent Distance Index, Average VO2, Average Power, Max Power, Anaerobic Energy, Anaerobic Index, Walk Time Energy, Run Time Energy, Power Zones.

Heart Rate

Average Heart Rate, Heart Rate Zones, Max Heart Rate, Edwards TL.

GPS quality

Sat HDOP, Sat SNR, Sat Number.

High intensity /recovery

Power Events, Power Events Average Time, Power Events Average Power, Recovery Average Time,
Recovery Average Power.

Time Course Analysis

Speed, Distance, Speed Events, Acceleration, Acceleration Events, Deceleration Events, Heart Rate,  Heart Rate Reserve %, Raw Speed, Metabolic Power, Metabolic Power Events, VO2, Mechanical Power, Muscle Power, Course, Heading, Direction, Jumps, Impacts, Dives, Sat HDOP, Sat SNR, Sat Satellites.


mechanical analysis


  • in-situ Acceleration-Speed Profile to determine for each athlete the individual maximum mechanical potential,
  • bursts and brakes performed near the ASP to detect all relevant activities close to the maximum mechanical potential,
  • a more complete scenario of real acceleration and deceleration activities performed on the field to overcome the limits of classic acceleration and deceleration.

metabolic power events


Our Metabolic Power Event (MPE) metric takes the anaerobic effort into account and provides you with a clear idea of the high-energy demand volume. It considers all the activities requiring energy from anaerobic sources, i.e. accelerations, sprints and changes of direction.

MPEs are much more informative than accelerations alone and gives a clear picture of the balance between work and recovery, as well as the decreasing of intensity.


Research & education

The gpexe academy includes all the research and education activities related to the technological and scientific aspects of the gpexe system, with a main focus on the performance analysis model. The gpexe academy is directed by Prof. Pietro Enrico di Prampero and it involves the team, the partners – like Universities – and the gpexe users.

In the web app, our users can find a gpexe academy premium section containing multimedia contents such as papers, slides from our presentations, video recorded during our webinars and congresses.

Whether you are a gpexe user or not, if you are interested in our scientific articles, please join our community.

Prof. Pietro di Prampero
Graduated in Medicine and Surgery, with a specialisation in Sports Medicine, Emeritus Professor of Physiology at University of Udine, he was educated in the Rodolfo Margaria’s School in Milan, breeding ground for men of science at the time. He is one of the world’s leading experts on muscular work energy and human locomotion on the Earth, on the Moon, on Mars, or in space, which he has been dealing with for over fifty years.

research & develop

developing and validate our tracking system and the performance analysis model

scientific papers

writing scientific papers to be published in the main scientific journals

data archive

collecting data to produce useful statistics for performance analysis

share know-how

sharing our know-how with webinars, seminars and congresses

public contents

producing contents for all the gpexe community and premium material reserved to gpexe users