However, Loxston offers a crucial qualifier: “When utilising football data, you have to remember that context is king. Sports-analytics software allows all these coded events to be linked to match footage, so that coaches and players can better understand the data. New metrics such as the pressure a player was under from an opponent or whether a player made him or herself available to receive the ball are bringing greater depth to this data set and enabling more comprehensive analysis. But event data is now evolving to capture more discreet actions, including the thousands of “off-the-ball” events. In its most basic form, this data set captures the “on-the-ball” actions of players – for example, a pass or a shot. However, it is now also being used for tactical analysis to identify space and distances between players. Traditionally, this data was used to collect physical metrics such as distance covered at various velocities. This data is collected either through non-invasive optical-camera tracking systems or through LPS (local positioning system) or GPS (global positioning system) devices worn by each player or match official. Tracking data allows the X and Y coordinates of each player or match official to be captured at a rate of up to 25 times a second. This intelligence consists of technical data that provides insight for coaches, managers, medical practitioners, technical directors, CEOs and owners to make more informed footballing decisions.įIFA’s Performance & Game Analyst, Chris Loxston, explains how that data is gathered: “At present football analytics depends on two main data sources: tracking data and event data.” Tracking DataĪs technology has advanced, we have been able to capture the movement of players and match officials with ever-increasing precision. This group of highly specialised staff are in place for a single reason: football intelligence.
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