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Performance analysis in elite football: all in the game?

Performance analysis in elite football: all in the game? SCIENCE AND MEDICINE IN FOOTBALL 2018, VOL. 2, NO. 4, 253–254 https://doi.org/10.1080/24733938.2018.1532659 EDITORIAL The beauty of football is hidden in its complexity. To be able capture technical performance indicators like ball control, passing to perform on an elite level, excellent physical, technical, and and kicking (Blair et al. 2018). Lab-on-a-chip development in tactical skills are required (Impellizzeri and Marcora 2009). healthcare can find its way to the sport field and quantify internal These skills need to be expressed in the context of the game load based on skin temperature and sweat loss. Finally, tactical to beat the opponent. Traditionally, these skills are assessed performance indicators, like passing efficiency, in combination using isolated lab or field tests for the purposes of talent with spatiotemporal features, such as space control and putting identification (Huijgen et al. 2014) or evaluation of training pressure on the opponent, may lead to more advanced measures interventions (Brink et al. 2010). Whether outcomes of these in this domain (Rein and Memmert 2016). isolated tests truly reflect match performance is under con- However, it is known that large match-to-match variation stant debate. With the development and use of sensor tech- exists as a result of contextual factors http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Science and Medicine in Football Taylor & Francis

Performance analysis in elite football: all in the game?

Performance analysis in elite football: all in the game?

Science and Medicine in Football , Volume 2 (4): 2 – Oct 2, 2018

Abstract

SCIENCE AND MEDICINE IN FOOTBALL 2018, VOL. 2, NO. 4, 253–254 https://doi.org/10.1080/24733938.2018.1532659 EDITORIAL The beauty of football is hidden in its complexity. To be able capture technical performance indicators like ball control, passing to perform on an elite level, excellent physical, technical, and and kicking (Blair et al. 2018). Lab-on-a-chip development in tactical skills are required (Impellizzeri and Marcora 2009). healthcare can find its way to the sport field and quantify internal These skills need to be expressed in the context of the game load based on skin temperature and sweat loss. Finally, tactical to beat the opponent. Traditionally, these skills are assessed performance indicators, like passing efficiency, in combination using isolated lab or field tests for the purposes of talent with spatiotemporal features, such as space control and putting identification (Huijgen et al. 2014) or evaluation of training pressure on the opponent, may lead to more advanced measures interventions (Brink et al. 2010). Whether outcomes of these in this domain (Rein and Memmert 2016). isolated tests truly reflect match performance is under con- However, it is known that large match-to-match variation stant debate. With the development and use of sensor tech- exists as a result of contextual factors

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References (16)

Publisher
Taylor & Francis
Copyright
© 2018 Informa UK Limited, trading as Taylor & Francis Group
ISSN
2473-4446
eISSN
2473-3938
DOI
10.1080/24733938.2018.1532659
Publisher site
See Article on Publisher Site

Abstract

SCIENCE AND MEDICINE IN FOOTBALL 2018, VOL. 2, NO. 4, 253–254 https://doi.org/10.1080/24733938.2018.1532659 EDITORIAL The beauty of football is hidden in its complexity. To be able capture technical performance indicators like ball control, passing to perform on an elite level, excellent physical, technical, and and kicking (Blair et al. 2018). Lab-on-a-chip development in tactical skills are required (Impellizzeri and Marcora 2009). healthcare can find its way to the sport field and quantify internal These skills need to be expressed in the context of the game load based on skin temperature and sweat loss. Finally, tactical to beat the opponent. Traditionally, these skills are assessed performance indicators, like passing efficiency, in combination using isolated lab or field tests for the purposes of talent with spatiotemporal features, such as space control and putting identification (Huijgen et al. 2014) or evaluation of training pressure on the opponent, may lead to more advanced measures interventions (Brink et al. 2010). Whether outcomes of these in this domain (Rein and Memmert 2016). isolated tests truly reflect match performance is under con- However, it is known that large match-to-match variation stant debate. With the development and use of sensor tech- exists as a result of contextual factors

Journal

Science and Medicine in FootballTaylor & Francis

Published: Oct 2, 2018

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