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Table 6 Description of tactical analysis key variables as reported in the literature [26, 30, 32]

From: Assessment of Physical, Technical, and Tactical Analysis in the Australian Football League: A Systematic Review

Tactical measurement

Description

Collective behavioural variables

x-axis centroid

Mean longitudinal position of all players

y-axis centroid

Mean transverse position of all players

Length

Distance between the most forward and most backward player

Width

Distance between the two most lateral players

Surface area

Total space covered by a single team

Passing network variables

Average path length

Average number of passes that occur between all possible pairs of players

Betweenness centrality

The extent to which a team’s passing network relies on particular players

Closeness centrality

How well-connected and central a player is within the teams passing structure

Clustering coefficient

The extent to which a player passes with a particular set of players

Degree centrality

The number of players that each player within the team has a direct (i.e. 1 pass) connection to

Entropy

The unpredictability of who a particular player will pass to

Edge count

Total number of interactions between players via effective passes

Edge density

Number of connections between players via effective passes, relative to the total number of possible connections

Eigenvector centrality

Dependence of a team to rely on a small group of players that have a large number of interactions with a large number of other players

Out-degree (in-degree)

Number of different players a particular player has either passed to or received a pass from

Out-strength (in-strength)

Number of passes (made or received) made by a player

Transitivity

The number of triads in a team, in proportion to the total possible number of triads. A triad represents the concept that two players are connected via a third player