All the traditional parameters are available: speed zone, accelerations, HR. 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
including all the most traditional KPIs used to describe the players’ movement on the pitch.
These speed- and acceleration-based parameters are useful to assess the workload volume and intensity.
Time Course Analysis
our instantaneous data, used to calculate all the metrics, are available to be both displayed on the web app and exported via CSV file.
instantaneous measures of the quality of the raw data detected by the device. e.g. for the GPS device: Sat HDOP, Sat SNR, Sat Number.
covering the performance analysis’ area related to energy expenditure.
From this perspective, it is easier to understand the aerobic and anaerobic contribution to performance, up to describing the work/recovery balance through the metabolic power events (MPE).
the HR signal is directly received from the GPS unit and displayed together with the other parameters in the gpexe web app; this allows the simultaneous analysis of internal and external workload over the same time period.
covering the performance analysis’ area related to neuromuscular load.
In overcoming the limits of acceleration alone, this analysis starts by profiling each player’s maximum acceleration capabilities (via in-situ ASP), thus detecting all the relevant activities performed through intense concentric (bursts) and eccentric (brakes) efforts.
these three sensors (accelerometer, gyroscope and magnetometer) allow to recognise the events which are not related to locomotion (jumps, dives, impacts) as well as the instantaneous body orientation of the player.
THEORISE YOUR MAXIMUM
DETECT REAL ACC & DEC
IDENTIFY HIGH MECH LOAD
- 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
BALANCE WORK & RECOVERY
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
writing scientific papers to be published in the main scientific journals
collecting data to produce useful statistics for performance analysis
sharing our know-how with webinars, seminars and congresses
producing contents for all the gpexe community and premium material reserved to gpexe users