įunding: The authors received no specific funding for this work.Ĭompeting interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: David Pyne has received honorariums from Human Kinetic (USA) and UpToDate, Wolters Kluwer (USA). This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: The data underlying the results presented in the study are available from. Received: NovemAccepted: ApPublished: May 5, 2022Ĭopyright: © 2022 Lord et al. PLoS ONE 17(5):Įditor: Cristina Cortis, University of Cassino e Lazio Meridionale, ITALY The process outlined can be applied to any team invasion sport to understand, develop and communicate successful strategies under different match situations.Ĭitation: Lord F, Pyne DB, Welvaert M, Mara JK (2022) Capture, analyse, visualise: An exemplar of performance analysis in practice in field hockey.
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The Shiny application, an interactive web-platform, links the information from simple game profiles with detailed game variables to understand each teams’ holistic game plan, how they are different, and how to exploit these differences. Ball movement profiles were developed to identify the predictability (entropy) and direction (progression rates) of ball movements, and consequent distribution of possession in different attacking zones. Game styles were developed using k-means cluster analysis to reduce detailed in-game events into practical profiles to identify the attack types, game actions and tempo of a team’s strategy.
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Computerised notational analysis systems were developed to capture in-game events and ball tracking data of 74 matches from the Women’s Pro League 2019.
The aim of this study was to outline a performance analysis process in field hockey that captures, analyses and visualises strategy in layers of detail culminating in the creation of an RStudio Shiny application. The goal of performance analysis is to capture the multitude of factors that affect sports strategy, and present them in an informative, interpretable, and accessible format.
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