One of the first decisions a club’s coaching staff must take is the design of pre-season training.
The objective of the pre-season is to seek the best individual and collective physical fitness of the team before beginning the competition.
Small-sided games (SSG) are very common training tasks for any team.
With such an ambitious goal, the Barça Innovation Hub has presented its research at this year’s world-renowned MIT Sloan Sports Analytics international conference.
The development of elite sports has meant that players are constantly exposed to higher training loads, busier competition schedules and shorter rest periods.
The hamstring muscle is very important in sports such as football. Not only because this muscle is key to sprinting, but also because hamstring muscle injuries are the most frequent kind of injuries.
Players’ conditional response during competition, for example, distance covered at a run, has traditionally been described using the average value covered during a half or full game.
Monitoring training load is one of the fundamental tools for optimising the performance of both elite athletes in general and football players in particular.
The ability to sprint is essential in the majority of team sports, including rugby, soccer, and basketball. But this ability is not developed in stable and controlled conditions: players are constantly subjected to variable demands, whether receiving, carrying, passing, hitting, or throwing the ball.
One of today’s most attention-grabbing topics among sports researchers, coaches and managers have to do with the study of maximal demand scenarios, also known as “worst case scenarios”.