Match play demands of 11 versus 11 professional football using Global Positioning System tracking: Variations across common playing formations

P. J. Tierney; A. Young; Neil D. Clarke; Michael J. Duncan

doi:10.1016/j.humov.2016.05.007

Match play demands of 11 versus 11 professional football using Global Positioning System tracking: Variations across common playing formations

P. J. Tierney, A. Young, Neil D. Clarke, Michael J. Duncan

HLS School of Life Sciences

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Abstract

This study aimed to examine Global Positioning System (GPS) determined movement patterns across the 5 most common playing formations (4-4-2; 4-3-3; 3-5-2; 3-4-3; 4-2-3-1) employed in 11 versus 11 football match play in England. Elite male footballers (n = 46) were monitored over the course of a season; total distance (TD), high speed running (HSR), high metabolic load distance (HMLD), high speed accelerations (Acc) and decelerations (Dec) data was collected for analysis. It was found that 3-5-2 formation elicited higher TD (10528 ± 565 m, p = 0.05), HSR (642 ± 215 m, p = 0.001), and HMLD (2025 ± 304 m, p = 0.001) than all other formations and above average Acc and Dec (34 ± 7, p = 0.036 and 57 ± 10, p = 0.006), with 4-2-3-1 eliciting the highest Acc and Dec (38 ± 8 and 61 ± 12). Positional data showed that CM in 4-3-3 covered >11% TD than in 4-4-2 (p = 0.012). FW in 3-5-2 covered >45% HSR than in 4-2-3-1 (p = 0.004). CM in 4-3-3 covered >14% HMLD than in 4-4-2 (p = 0.367). FW in 4-3-3 performed >49% accelerations than in 4-2-3-1 (p = 0.293). WD in 3-5-2 performed >20% more decelerations than in 4-4-2 (p = 0.161). This study is important for coaches understanding, that positional physical characteristics are influenced by the demands of playing in different formations during match play.

Original language	English
Pages (from-to)	1-8
Number of pages	8
Journal	Human Movement Science
Volume	49
Early online date	3 Jun 2016
DOIs	https://doi.org/10.1016/j.humov.2016.05.007
Publication status	Published - Oct 2016

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Human Movement Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Human Movement Science, VOL49,(2016) DOI: 10.1016/j.humov.2016.05.007

© 2016, Elsevier. Licensed under the Creative CommonsAttribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

GPS
Formation
Match-play
Position
Training load

Access to Document

10.1016/j.humov.2016.05.007

Post-PrintAccepted author manuscript, 854 KBLicence: CC BY-NC-ND

Cite this

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title = "Match play demands of 11 versus 11 professional football using Global Positioning System tracking: Variations across common playing formations",

abstract = "This study aimed to examine Global Positioning System (GPS) determined movement patterns across the 5 most common playing formations (4-4-2; 4-3-3; 3-5-2; 3-4-3; 4-2-3-1) employed in 11 versus 11 football match play in England. Elite male footballers (n = 46) were monitored over the course of a season; total distance (TD), high speed running (HSR), high metabolic load distance (HMLD), high speed accelerations (Acc) and decelerations (Dec) data was collected for analysis. It was found that 3-5-2 formation elicited higher TD (10528 ± 565 m, p = 0.05), HSR (642 ± 215 m, p = 0.001), and HMLD (2025 ± 304 m, p = 0.001) than all other formations and above average Acc and Dec (34 ± 7, p = 0.036 and 57 ± 10, p = 0.006), with 4-2-3-1 eliciting the highest Acc and Dec (38 ± 8 and 61 ± 12). Positional data showed that CM in 4-3-3 covered >11% TD than in 4-4-2 (p = 0.012). FW in 3-5-2 covered >45% HSR than in 4-2-3-1 (p = 0.004). CM in 4-3-3 covered >14% HMLD than in 4-4-2 (p = 0.367). FW in 4-3-3 performed >49% accelerations than in 4-2-3-1 (p = 0.293). WD in 3-5-2 performed >20% more decelerations than in 4-4-2 (p = 0.161). This study is important for coaches understanding, that positional physical characteristics are influenced by the demands of playing in different formations during match play.",

keywords = "GPS, Formation, Match-play, Position, Training load",

author = "Tierney, {P. J.} and A. Young and Clarke, {Neil D.} and Duncan, {Michael J.}",

note = "NOTICE: this is the author{\textquoteright}s version of a work that was accepted for publication in Human Movement Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Human Movement Science, VOL49,(2016) DOI: 10.1016/j.humov.2016.05.007 {\textcopyright} 2016, Elsevier. Licensed under the Creative CommonsAttribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/",

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doi = "10.1016/j.humov.2016.05.007",

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TY - JOUR

T1 - Match play demands of 11 versus 11 professional football using Global Positioning System tracking: Variations across common playing formations

AU - Tierney, P. J.

AU - Young, A.

AU - Clarke, Neil D.

AU - Duncan, Michael J.

N1 - NOTICE: this is the author’s version of a work that was accepted for publication in Human Movement Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Human Movement Science, VOL49,(2016) DOI: 10.1016/j.humov.2016.05.007 © 2016, Elsevier. Licensed under the Creative CommonsAttribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2016/10

Y1 - 2016/10

N2 - This study aimed to examine Global Positioning System (GPS) determined movement patterns across the 5 most common playing formations (4-4-2; 4-3-3; 3-5-2; 3-4-3; 4-2-3-1) employed in 11 versus 11 football match play in England. Elite male footballers (n = 46) were monitored over the course of a season; total distance (TD), high speed running (HSR), high metabolic load distance (HMLD), high speed accelerations (Acc) and decelerations (Dec) data was collected for analysis. It was found that 3-5-2 formation elicited higher TD (10528 ± 565 m, p = 0.05), HSR (642 ± 215 m, p = 0.001), and HMLD (2025 ± 304 m, p = 0.001) than all other formations and above average Acc and Dec (34 ± 7, p = 0.036 and 57 ± 10, p = 0.006), with 4-2-3-1 eliciting the highest Acc and Dec (38 ± 8 and 61 ± 12). Positional data showed that CM in 4-3-3 covered >11% TD than in 4-4-2 (p = 0.012). FW in 3-5-2 covered >45% HSR than in 4-2-3-1 (p = 0.004). CM in 4-3-3 covered >14% HMLD than in 4-4-2 (p = 0.367). FW in 4-3-3 performed >49% accelerations than in 4-2-3-1 (p = 0.293). WD in 3-5-2 performed >20% more decelerations than in 4-4-2 (p = 0.161). This study is important for coaches understanding, that positional physical characteristics are influenced by the demands of playing in different formations during match play.

AB - This study aimed to examine Global Positioning System (GPS) determined movement patterns across the 5 most common playing formations (4-4-2; 4-3-3; 3-5-2; 3-4-3; 4-2-3-1) employed in 11 versus 11 football match play in England. Elite male footballers (n = 46) were monitored over the course of a season; total distance (TD), high speed running (HSR), high metabolic load distance (HMLD), high speed accelerations (Acc) and decelerations (Dec) data was collected for analysis. It was found that 3-5-2 formation elicited higher TD (10528 ± 565 m, p = 0.05), HSR (642 ± 215 m, p = 0.001), and HMLD (2025 ± 304 m, p = 0.001) than all other formations and above average Acc and Dec (34 ± 7, p = 0.036 and 57 ± 10, p = 0.006), with 4-2-3-1 eliciting the highest Acc and Dec (38 ± 8 and 61 ± 12). Positional data showed that CM in 4-3-3 covered >11% TD than in 4-4-2 (p = 0.012). FW in 3-5-2 covered >45% HSR than in 4-2-3-1 (p = 0.004). CM in 4-3-3 covered >14% HMLD than in 4-4-2 (p = 0.367). FW in 4-3-3 performed >49% accelerations than in 4-2-3-1 (p = 0.293). WD in 3-5-2 performed >20% more decelerations than in 4-4-2 (p = 0.161). This study is important for coaches understanding, that positional physical characteristics are influenced by the demands of playing in different formations during match play.

KW - GPS

KW - Formation

KW - Match-play

KW - Position

KW - Training load

U2 - 10.1016/j.humov.2016.05.007

DO - 10.1016/j.humov.2016.05.007

M3 - Article

SN - 0167-9457

SN - 1872-7646

VL - 49

SP - 1

EP - 8

JO - Human Movement Science

JF - Human Movement Science

ER -