Data from: Determining spatio-temporal metrics that distinguish play outcomes in field hockey

Summary

Tactical behaviour in field sports can be examined using spatio-temporal metrics, that is, descriptions of player behaviour derived from data of player positions over time. Methods typically used by sports performance analysts cannot appropriately analyse the many spatio-temporal metrics and their interactions. The interactions between theses descriptions of player behaviour could potentially describe tactical differences in performance. The aim of this thesis was to determine which spatio-temporal metrics distinguish play outcomes in field hockey. The current work uses methods inspired by genetic analysts to estimate the influence of combinations of spatio-temporal metrics on the outcome of field hockey plays. The key finding of this thesis is that play outcomes in field hockey are distinguished by proximity to the goal and passing execution. Other contributions to knowledge are a suite of metrics combinations that distinguish play outcomes in field hockey, empirical support for some tactical preconceptions, and a novel application of genetic analytics-inspired methods to tactical sports performance analysis.

Keywords: Backward Dropping Algorithm, Genomic Selection, Tactics, Team sports
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Contributors:
Academic units: Faculty of Health and Wellbeing (HWB) > Research Centres > Centre for Sports Engineering Research (CSER)
Funders:
Funder NameGrant NumberFunder ID
Engineering and Physical Sciences Research CouncilEP/K504543/1http://dx.doi.org/10.13039/501100000266
English Institute of SportUNSPECIFIED
Copyright Holders: English Institute of Sport
Publisher of the data: SHU Research Data Archive (SHURDA)
Publication date: 7 June 2017
Data last accessed: 7 June 2017
Embargo expiry date: 1 April 2019
DOI: http://doi.org/10.17032/shu-170005
SHURDA URI: http://shurda.shu.ac.uk/id/eprint/13

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