Quantitative analysis of Brazilian football players' organisation on the pitch

Abstract

The purpose of this study was to characterise Brazilian teams' coverage area and spread on the pitch while attacking and defending and to analyse the teams' organisation in tackle and shot on goal situations. We obtained the trajectories of 223 players in eight games with a tracking method. Team area was defined as the area of the convex hull formed by players' positions. Team spread was defined as the Frobenius norm of the distance-between-player matrix. We calculated teams' area and spread over time and in situations of shots on goal (n = 233) and tackles (n = 1897). While the players attacked, spread and area (median +/- confidence interval) ranged from 322.9 +/- 0.8 to 387.8 +/- 1.0 m and from 905.4 +/- 4.4 to 1407.6 +/- 5.5 m2, respectively. On defence, the values were smaller (p < 0.05) and ranged from 283.4 +/- 0.9 to 325.8 +/- 0.9 m and from 773.8 +/- 4.6 to 1158.4 +/- 5.5 m2 for the spread and the area. In defending circumstances, the teams presented a greater area and spread when they suffered shots on goal than when the teams performed tackles. In attacking situations, the teams presented a greater area and spread when they suffered tackles than when they performed shots on goal. The results allowed showing the attacking-defending interaction between Brazilian teams.

Preliminary results on organization on the court, physical and technical performance of Brazilian professional futsal players: comparison between friendly pre-season and official match

“…Thus, a lack of studies exist evaluating the tactical features of futsal teams (i.e. organization on the court) (Moura et al, 2011), mainly during the whole match, considering each instant of time, using team coverage area and spread variables. This information would be useful to those involved with futsal tactics.…”

“…For example, when the goalkeeper of the attacking team is substituted with an extra field player (Travassos et al, 2011), when shots on goal occur (Moura et al, 2011;Lapresa et al, 2013;Vilar, Araújo, Davids, Correia, & Esteves, 2013), when tackles are performed (Moura et al, 2011), passing (Corrêa, Vilar, Davids, & Renshaw, 2014) and plays ending in goals . Thus, a lack of studies exist evaluating the tactical features of futsal teams (i.e.…”

Analysis of high-intensity efforts in brazilian professional soccer players

“…Data processing the 2D players' trajectories were smoothed by a thirdorder Butterworth low-pass filter with the cut-off frequency of 0.4 Hz, defined as described in a previous study [19]. the distances covered by each player were calculated as the cumulative sum of player displacement between two successive samplings.…”

Open Source Technologies Involved in Constructing a Web-Based Football Information System

“…Latter, a framework for analysis of soccer tactics with trajectory data is presented in [8], and in [10] the authors used tools from network theory to describe the strategy of football teams. For other approaches see [11] and [12]. For the player detection, and localization in the field we use an open source computer vision library, the OpenCV [19], [31], it has C++, Python and Java interfaces running on multiple OS.…”

“…[6], and SportVU ® [7]. We can also find in the literature examples that explore some aspects of the project, like spatial and spatiotemporal analysis [8], local positioning systems in the game [9], and analysis of football strategies [10], [11] and [12].…”