Sport at the elite level has always adopted new technologies to capture data from players during play to better understand their performance and their team’s result.
Closely aligned with this is the practice of data analytics, and developments here tend to fall into two areas.
One is the refinement of existing (or the creation of new) technologies that measure an athlete’s activities. The other is the advent of data analysis tools that allow some meaning to be drawn from the collection of this data.
Because there is the potential for such a large amount of data to be collected during play, the focus on sports analytics is increasingly associated with what is referred to as big data.