The sector. Benefits of sport data analytics the main benefit of sport data analytics is not only the analysis and synthesis of data, but also the ability to predict key events that may occur in the world of sport. This helps to make decisions in a much more efficient way to be more competitive in any field of this sector. Inesem business school higher course in e-sport marketing more information injury predictions as we have mentioned before, one of the key functionalities of sport data analytics is applied to the field of health in sport. By measuring parameters such as general
mechanical load, neuromuscular indicators or bmi, it is possible to identify signals that may be prior to a possible injury. Thanks to this application, sport e commerce photo editing data analytics enables athletes to better dose their efforts . This helps prevent injuries that keep them off the field of play. Player ratings sports data analytics is applied in the most important playing fields in the world, regardless of the sport, with the aim of evaluating the performance of the players throughout the season. The nba or the spanish league, for example, have tools to monitor player performance. They make use, for example, of special cameras and devices in their boots to locate their route through the field and
along with other data. This favors creating a real map of the performance of these players without falling into the exaggerations that sometimes occur when their performance is associated with their name or personal brand. Thanks to sport data analytics, clubs can make better decisions in the transfer market. It is easier to statistically determine the profiles that fit their teams, and the real market value of the player will be better estimated . Team strategy sport data analytics therefore allows monitoring the strategies carried out by a