here. investigated team formations in 70 matches from the English FA Premier League when playing against a 4-4-2 defensive formation [9]. Subsequently, several approaches for tactical data analysis were implemented. Writing – original draft, Nevertheless, from a theoretical point of view, the geometry of 3-5-2 formation suggests a more elongated attacking shape compared to the wider 4-2-3-1 formation. Yet, none of the studies investigated the impact different formations have on team tactical behavior, although this is often the major decision criterion to favor one formation over another [12]. Thereby, the variations in team formation were also manifest with respect to external loads experience by the players. Subsequently, data with a low completeness score were omitted. https://doi.org/10.1371/journal.pone.0210191, Editor: Alessandro Moura Zagatto, Sao Paulo State University - UNESP, BRAZIL, Received: July 12, 2018; Accepted: November 26, 2018; Published: January 30, 2019. Discover a faster, simpler path to publishing in a high-quality journal. For more information about PLOS Subject Areas, click No, Is the Subject Area "Global positioning system" applicable to this article? Formal analysis, A Wilcoxon rank sum test showed that the median ranks of the pressure efficiency index for the 3-5-2 formation, Mdn = 4.56, was significantly higher than for the 4-2-3-1 formation, Mdn = 2.3, W = 685, p = 0.019. In addition, three standard video cameras (two SD, one HD) were placed around the pitch to collect video material for qualitative analysis (compare Fig 1).
Complete Football Game!! The Hawks (12-0) will now prepare for their challenge against Pilot Point (Pilot Point, TX). Using a trial-based experimental approach could help in shedding further light on the interactive nature of soccer game play. a foul was committed, or the ball left the pitch), or the defending team gained possession.

Unfortunately, few studies have specifically studied the effects of different tactical formations on game performance so far. Practice task designs which manipulate team formations therefore significantly influence the emergent behavioral dynamics and need to be considered when planning and monitoring performance. Funding acquisition, By testing theory-based hypotheses in an experimental setting reflecting the genuine 11 vs. 11 game of soccer, current theories in performance analysis in sport can be examined empirically. The order of attacking-defending-formations was counter-balanced across session to prevent any sequence effects. Results showed that covered distances in 4-4-2 were shorter compared to 4-2-3-1, whereas high speed running distances for 4-2-3-1 and 3-5-2 were longer compared to 4-4-2. This indicates similar space coverage by both formations. The presented field experiment in an 11 vs. 11 soccer game set-up is the first to examine the impact of different formations (e.g. Funding: This research was supported by a grant from the German Research Council (DFG, Deutsche Forschungsgemeinschaft, http://www.dfg.de/) to the first author, ME 2678/3-3.
The results showed that the reference team performed more passes and more touches per play when playing against a 4-4-2 compared to the other formations.

All statistical tests were carried out with the statistical software R [43]. Up until now, few studies have investigated the influence of team formations in full-sized 11 vs. 11 respectively large-sided (LSG) soccer matches with elite players [6, 7].

Yet, the Player Length per Width ratio in the 3-5-2 formation exceeded the 4-2-3-1 formation, suggesting a more elongated player arrangement during the 3-5-2 attacking formation. 2.

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