The essence of team sport lies in its name – it’s about working as a unit to achieve success. Although there is some element of individual achievement in team sports (as proven by the existence of celebrity basketball and football players) the majority of a successful team’s performance is built on collaboration and coordination between its members. Developing the ability to collaborate effectively in teams will serve students well in their future careers and personal lives.
Participating in team sports also teaches children the importance of listening to others and respecting their opinions. It also teaches them to be less self-centered and more willing to compromise, as they learn to work with other children from different backgrounds. Children who play team sports are often exposed to adults who possess different levels of authority, such as coaches and league officials. Learning how to deal with these types of adults is a valuable life lesson, as they will encounter similar situations in their adult lives.
There are many different methods of analysing movement data from a team sports match, including descriptive statistics, time series, similarity search, high dimensional data and video image processing/analysis. However, a new approach, promising large synergy effects and real insights, is context-aware analysis. This involves the integration of a collective movement model to understand dynamic team behavior in a more holistic way. This type of analysis will enable a more complete and deeper understanding of the complexity of team movements than is currently possible with purely spatial analyses such as computational geometry or trajectories alone.
