ABSTRACT
Performance in high-level basketball is a very complex process to understand, mainly due to its dependency on a substantial number of dynamical interactions between technical, tactical, fitness and anthropometric characteristics of players. Basketball is a team sport where box-score statistics are often used to help identify the reasons that explain the game's outcome. However, the box scores only contain information that describes the frequency of actions performed by players of both teams in a game. Player-tracking technology is one of the most recent technological advances in basketball. In all professional and developmental basketball leagues, the data-gathering process is standardized and regulated by the operational definitions and criteria published in the Basketball Statisticians Manual. In a basketball team, point scoring often obscures other key determinants of collective success that, supposedly, can be measured using other box-score statistics. An alternative solution to refining performance metrics can be proposed by classifying players into different levels of point production.
