Handball is one of the sports that are encompassed by the term overhead, a concept that includes sports based on a movement in which the arm is brought above the head.
FC Barcelona recently held a conference entitled “Barça: Female and Diverse” to coincide with the International Women’s Day, organized at the Camp Nou facilities.
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.
We know that athletic performance is a complex phenomenon that depends on numerous constraints, but do we know how these constraints relate to and interact with each other?
Despite the growing interest in Paralympic sports, research into performance in elite wheelchair sports has seen very little development.
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”.
Those who have watched elite football across the last decade, realise that the game is more demanding than ever. This places more emphasis on training methods to prepare players for the rigors of the game.
Of all the variables provided by the systems that monitor and record our players’ activity, what is the most relevant information? This is a question that all coaches will probably face when they begin managing the large volumes of data generated in every training session.