TY - JOUR
T1 - Match play demands of 11 versus 11 professional football using Global Positioning System tracking
T2 - Variations across common playing formations
AU - Tierney, Peter J.
AU - Young, Andrew
AU - Clarke, Neil D.
AU - Duncan, Michael J.
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/10/1
Y1 - 2016/10/1
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
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U2 - 10.1016/j.humov.2016.05.007
DO - 10.1016/j.humov.2016.05.007
M3 - Article
C2 - 27269201
SN - 0167-9457
VL - 49
SP - 1
EP - 8
JO - Human Movement Science
JF - Human Movement Science
ER -