Homogeneous Distribution of Passing between Players of a Team Predicts Attempts to Shoot at Goal in Association Football: A Case Study with 10 Matches

GAMA, J., DIAS, G., PASSOS, P., COUCEIRO, M. and DAVIDS, Keith (2020). Homogeneous Distribution of Passing between Players of a Team Predicts Attempts to Shoot at Goal in Association Football: A Case Study with 10 Matches. Nonlinear Dynamics, Psychology, and Life Sciences, 24 (3), 353-365.

[img] PDF (Publisher doesn't allow deposits)
Davids_HomogeneousDistributionPassing(AM).pdf - Accepted Version
Restricted to Repository staff only
All rights reserved.

Download (770kB)
Official URL: http://www.societyforchaostheory.org/ndpls/askFILE...
Related URLs:

    Abstract

    This paper presents a case study which aims to establish a relationship between the homogeneity of passing distribution between players of a team and goal attempts in the team sport of association football. We observed data from 10 competitive football matches, involving 10 different professional football teams of different performance levels, competing in the Portuguese League during the 2010/2011 season. Performance data were analysed using the Match Analysis Software Amisco. Shannon's entropy measure was used to quantify the homogeneity of passing distribution within each team. Results suggested the existence of a pattern between an increase in the homogeneity of passing distributions and the attempts to scoring goals in the sample of competitive matches studied. A homogeneous distribution of passes can moderately predict (approximately 45% of accuracy) when a goal attempt will occur within the following minute of an entropy assessment.

    Item Type: Article
    Uncontrolled Keywords: networks; interactions; entropy; performance; Athletic Performance; Entropy; Goals; Group Processes; Humans; Male; Portugal; Seasons; Soccer; Software; Humans; Goals; Group Processes; Seasons; Entropy; Soccer; Software; Portugal; Male; Athletic Performance; Experimental Psychology
    Page Range: 353-365
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 10 Aug 2020 11:53
    Last Modified: 19 Aug 2020 10:42
    URI: http://shura.shu.ac.uk/id/eprint/26912

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics