Limits...
Competing with lower level opponents decreases intra-team movement synchronization and time-motion demands during pre-season soccer matches.

Folgado H, Duarte R, Fernandes O, Sampaio J - PLoS ONE (2014)

Bottom Line: Then, these data were compared according to the opponent team level (first league; second league; amateurs).Time-motion demands showed no differences in total distance covered per opposition levels, while matches opposing teams of superior level revealed more distance covered at very high intensity.Competing against superior level teams implied more time in synchronized behavior for the overall displacements and displacements at higher intensities.

View Article: PubMed Central - PubMed

Affiliation: Department of Sport and Health, Universidade de Évora, Évora, Portugal; Research Center for Sports Sciences, Health and Human Development (CIDESD), Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal.

ABSTRACT
This study aimed to quantify the time-motion demands and intra-team movement synchronization during the pre-season matches of a professional soccer team according to the opposition level. Positional data from 20 players were captured during the first half of six pre-season matches of a Portuguese first league team. Time-motion demands were measured by the total distance covered and distance covered at different speed categories. Intra-team coordination was measured by calculating the relative phase of all pairs of outfield players. Afterwards, the percentage of time spent in the -30° to 30° bin (near-in-phase mode of coordination) was calculated for each dyad as a measure of space-time movement synchronization. Movement synchronization data were analyzed for the whole team, according to each dyad average speed and by groups of similar dyadic synchronization tendencies. Then, these data were compared according to the opponent team level (first league; second league; amateurs). Time-motion demands showed no differences in total distance covered per opposition levels, while matches opposing teams of superior level revealed more distance covered at very high intensity. Competing against superior level teams implied more time in synchronized behavior for the overall displacements and displacements at higher intensities. These findings suggest that playing against higher-level opponents (1st league teams) increased time-motion demands at high intensities in tandem with intra-team movement synchronization tendencies.

Show MeSH
A rotation matrix was applied rotating the data through an angle θ.A rotation matrix was calculated from the field vertices and applied to the players' positions, rotating the data through an angle θ in order that the longitudinal displacements were aligned with the x-axis and the lateral displacements were aligned with the y-axis.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4016249&req=5

pone-0097145-g001: A rotation matrix was applied rotating the data through an angle θ.A rotation matrix was calculated from the field vertices and applied to the players' positions, rotating the data through an angle θ in order that the longitudinal displacements were aligned with the x-axis and the lateral displacements were aligned with the y-axis.

Mentions: Positional data were retrieved from GPS units and processed in MATLAB 2011b (The MathWorks Inc., Natick, MA, USA). Latitude and longitude data collected from each individual outfield player were synchronized. Missing data gaps were re-sampled using an interpolation method to guarantee the same length of the time series. Latitude and longitude data were transposed to meters, using the Universal Transverse Mercator (UTM) coordinate system by means of a MATLAB routine [17], and smoothed using a 3 Hz Butterworth low pass filter. After converting the positional data into meters, a rotation matrix was calculated for each match from the field vertices positions, aligning the length of the playing field with the x-axis and the width with the y-axis (Figure 1). The rotation matrix was then applied to the players' positional data for alignment with the playing field referential.


Competing with lower level opponents decreases intra-team movement synchronization and time-motion demands during pre-season soccer matches.

Folgado H, Duarte R, Fernandes O, Sampaio J - PLoS ONE (2014)

A rotation matrix was applied rotating the data through an angle θ.A rotation matrix was calculated from the field vertices and applied to the players' positions, rotating the data through an angle θ in order that the longitudinal displacements were aligned with the x-axis and the lateral displacements were aligned with the y-axis.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4016249&req=5

pone-0097145-g001: A rotation matrix was applied rotating the data through an angle θ.A rotation matrix was calculated from the field vertices and applied to the players' positions, rotating the data through an angle θ in order that the longitudinal displacements were aligned with the x-axis and the lateral displacements were aligned with the y-axis.
Mentions: Positional data were retrieved from GPS units and processed in MATLAB 2011b (The MathWorks Inc., Natick, MA, USA). Latitude and longitude data collected from each individual outfield player were synchronized. Missing data gaps were re-sampled using an interpolation method to guarantee the same length of the time series. Latitude and longitude data were transposed to meters, using the Universal Transverse Mercator (UTM) coordinate system by means of a MATLAB routine [17], and smoothed using a 3 Hz Butterworth low pass filter. After converting the positional data into meters, a rotation matrix was calculated for each match from the field vertices positions, aligning the length of the playing field with the x-axis and the width with the y-axis (Figure 1). The rotation matrix was then applied to the players' positional data for alignment with the playing field referential.

Bottom Line: Then, these data were compared according to the opponent team level (first league; second league; amateurs).Time-motion demands showed no differences in total distance covered per opposition levels, while matches opposing teams of superior level revealed more distance covered at very high intensity.Competing against superior level teams implied more time in synchronized behavior for the overall displacements and displacements at higher intensities.

View Article: PubMed Central - PubMed

Affiliation: Department of Sport and Health, Universidade de Évora, Évora, Portugal; Research Center for Sports Sciences, Health and Human Development (CIDESD), Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal.

ABSTRACT
This study aimed to quantify the time-motion demands and intra-team movement synchronization during the pre-season matches of a professional soccer team according to the opposition level. Positional data from 20 players were captured during the first half of six pre-season matches of a Portuguese first league team. Time-motion demands were measured by the total distance covered and distance covered at different speed categories. Intra-team coordination was measured by calculating the relative phase of all pairs of outfield players. Afterwards, the percentage of time spent in the -30° to 30° bin (near-in-phase mode of coordination) was calculated for each dyad as a measure of space-time movement synchronization. Movement synchronization data were analyzed for the whole team, according to each dyad average speed and by groups of similar dyadic synchronization tendencies. Then, these data were compared according to the opponent team level (first league; second league; amateurs). Time-motion demands showed no differences in total distance covered per opposition levels, while matches opposing teams of superior level revealed more distance covered at very high intensity. Competing against superior level teams implied more time in synchronized behavior for the overall displacements and displacements at higher intensities. These findings suggest that playing against higher-level opponents (1st league teams) increased time-motion demands at high intensities in tandem with intra-team movement synchronization tendencies.

Show MeSH