TY - JOUR
T1 - Capture, analyse, visualise
T2 - An exemplar of performance analysis in practice in field hockey
AU - Lord, Felicity
AU - Pyne, David B
AU - Welvaert, Marijke
AU - Mara, Jocelyn K
N1 - Funding Information:
The authors received no specific funding for this work.
Publisher Copyright:
Copyright: © 2022 Lord et al. 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.
PY - 2022/5/5
Y1 - 2022/5/5
N2 - 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. 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. 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. 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. 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. 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. The process outlined can be applied to any team invasion sport to understand, develop and communicate successful strategies under different match situations.
AB - 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. 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. 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. 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. 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. 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. The process outlined can be applied to any team invasion sport to understand, develop and communicate successful strategies under different match situations.
KW - Achievement
KW - Athletic Performance
KW - Competitive Behavior
KW - Female
KW - Hockey
KW - Humans
KW - Movement
UR - http://www.scopus.com/inward/record.url?scp=85129406606&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0268171
DO - 10.1371/journal.pone.0268171
M3 - Article
C2 - 35511919
SN - 1932-6203
VL - 17
SP - 1
EP - 21
JO - PLoS One
JF - PLoS One
IS - 5 May
M1 - e0268171
ER -