Rocket Science Project ordered the forecast analysis for training of athletes

On April 17, 2017 announced Trinity system integrator the project of preparation of the program for the sports Rocket Science Project project.

Project Tasks

The project team of Rocket Science Project made to specialists of Trinity an inquiry for development of the program for training of athletes for competitions.

On the basis of the unrolled these athletes (a geolocation, pulse, sleep quality, arterial blood pressure, information on a power supply and genetic information) it is required to prepare individual programs for each athlete.

Advertizing Rocket Science Project, (2016)

Project Progress

Analysts of the contractor and the customer using the platform of predictive analytics IBM SPSS Modeler and a program environment of R, Python will carry out the analysis of training and recovery process. It is necessary:

• define determinants of sporting achievements for elite athletes;
• reveal the hidden patterns and patterns in data;
• define a deposit of different factors to competitive results, including a combination of different factors, their temporary logs, the cumulative and extinguishing each other effects of conflict trainings;
• identify upper and lower limits of training loads to define limits of training influences.

Such approach allows to reveal interrelations and that to promote growth of sports skill.

According to the statement of the customer, data processing of training process of athletes modern computer algorithms opens opportunities for the organization of work of trainers and managers of clubs, shows attractiveness of sport for fans. In track and field athletics all these technologies still did not find application.