Strategy Analysis in Soccer

In comparison to other types of behavior, adversarial behavior is heavily structured as the location of a player (or agent) is dependent both on their teammates and adversaries, in addition to the tactics or strategies of the team.

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“Win at Home and Draw Away”: Automatic Formation Analysis Highlighting the Differences in Home and Away Team Behaviors

In terms of analyzing soccer matches, two of the most important factors to consider are: 1) the formation the team played (e.g., 4-4-2, 4-2-3-1), and 2) the manner in which they executed it (e.g., conservative – sitting deep, or aggressive – pressing high). Despite the existence of ball and player tracking data, no current methods exist which can automatically detect and visualize formations. [More...]

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Assessing Team Strategy Using Spatiotemporal Data

The Moneyball revolution coincided with a shift in the way professional sporting organizations handle and utilize data in terms of decision making processes. Due to the demand for better sports analytics and the improvement in sensor technology, there has been a plethora of ball and player tracking information generated within professional sports for analytical purposes. However, due to the continuous nature of the data and the lack of associated high-level labels to describe it – this rich set of information has had very limited use especially in the analysis of a team’s tactics and strategy. [More...]

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