Search

This study examined the effect of a morning priming session consisted of stretching, mobility, core and lower-body resistance, and reactive agility exercises on match performance in elite-level soccer players. Information on physical and technical performance was collected during competitive matches (n = 32) and subsequently classified as those preceded or not preceded by a priming session. Results showed significantly increased (i) distance covered overall (Cohen’s d (d) = 0.34, p = 0.011), in moderate-intensity (d = 0.52, p = 0.001) and high-intensity running (d = 0.30, p = 0.024), and (ii) frequency of duels (d = 0.26, p = 0.050) in matches preceded by a priming session compared to those not preceded by a priming session. These findings show that players’ physical performance was notably enhanced due to the pre-match routines that the team implemented on match day, while technical performance was in general similar irrespective of whether a priming session was implemented or not before the match. Therefore, morning priming session implemented on match day can be recommended as an effective pre-match strategy to increase players’ physical performance in soccer without negative consequences on technical performance.

This study aimed to analyze quantitative differences in the physical demands of male elite soccer players between the first and second halves during official matches, accounting for effective playing time (the duration of play after subtracting the game interruptions) and playing positions. A total of 4,249 individual match observations of 412 outfield players competing in the Spanish first division league (LaLiga) were undertaken during the 2018–2019 season, using a computerized tracking system (TRACAB, Chyronhego, New York, NY). The players were classified into 5 positional roles: central defenders (CD), external defenders (ED), central midfielders (CM), external midfielders (EM), and forwards (F). The main results showed that in contrast to those observed when total playing time was considered, independent of playing position, there were no significant differences on high-speed running (HSR) (5.5 ± 2.4 vs. 5.5 ± 2.4 m·min−1) and sprint (5.3 ± 3.3 vs. 5.4 ± 3.3 m·min−1) distances between the first and second halves in professional soccer players when the effective playing time was considered. However, differences in match running performance at HSR and sprint distances between the first and second halves were dependent on players' playing position. Whereas ED and EM maintained HSR and sprint efforts during the second half, CD and CM significantly increased (p < 0.001) the distance covered at sprint during the second period of the match. Contrarily, F were unable to maintain their HSR (6.2 ± 2.3 vs. 5.9 ± 3.3 m·min−1) and sprint (7.0 ± 3.5 vs. 6.5 ± 3.4 m·min−1) match running performances during the second half. Such findings demonstrate that total playing time could overestimate fatigue-induced performance declines. Thus, effective playing time and playing position should be taken into account when interpreting the match running performance of professional soccer players., Copyright © 2021National Strength and Conditioning Association

Elite performance and sporting success are often the result of optimal integration and synergy of all components of sports preparedness (i.e., health, technical and tactical skills, bioenergetic and neuromuscular abilities and capacities, anthropometric characteristics, cognition, emotions, creativity, or personality), which evolve because of systematic long-term sports preparation. However, the relative importance of these characteristics varies between individual and team sports. While some individual sports require a high standard of bioenergetic and neuromuscular abilities and capacities, team sports performance is closely related to technical and tactical skills, which may compensate for weakness within the fitness level (1). Nonetheless, successful team sport performances seem to be much more dependent on the interaction among a wide range of factors than on the maximum development of one or two factors in isolation. In team sports, elite performance emerges from the interaction among the individual parts (2) to overcome the opponent during competition.

Acord transformatiu CRUE-CSIC, Open Access Funding provided by Universitat Autònoma de Barcelona. This work was partially funded by the grants RTI2018-096072-B-I00 and PID2019-104830RB-I00/AEI DOI:10.13039/501100011033 from the Spanish Ministry of Science, Innovation and Universities, and the Severo Ochoa and María de Maeztu Program for Centers and Units of Excellence in R &D (CEX2020-001084-M) from the Spanish Research Agency., The aim of the current study is to analyze the effects of red and yellow cards on the scoring rate in elite soccer. The sample was composed of 1826 matches in the top five European leagues. All events were structured in 5-min intervals and were analyzed by means of a Generalized Linear Mixed Model with Poisson distribution, considering the presence of correlated data, where the dependent variable is represented by scoring rate. Team strength and home advantage were considered implicitly by means of a transformation of the betting odds for each game. The model also took into account the goal difference and time evolution. Overall, we found that after a sending off, each team's scoring rate changes significantly, damaging the penalised team and favouring its opponent. When the player who is sent off belongs to the Away team, the impact of a red card is more or less maintained over time intervals. The red card effect, on the other hand, tends to fade over time when the affected team is stronger. The relative difference in scoring rates is also affected by the goal difference and the difference in booked players, being slightly lower for the team going ahead if it has more booked players. Our approach allows estimating the expected cumulative soring rate through time for various red card scenarios. Particularly if a red card is given with 30 min of remaining time, the expected impact is 0.39 goals if the guilty player is on the visiting team and 0.50 if he plays for the home team. Coaches and analysts could use this information to establish objectives for players and teams in training and matches and to be prepared for these very different scenarios of numerical superiority or inferiority.

Purpose: The aim of this study was to examine the association between the time spent in possession by teams and the match-running performance in elite soccer matches. Methods: Match performance data were collected from players in Spanish LaLiga (8,468 individual match observations of 412 outfield players) using a multiple-camera computerised tracking system. A k-means cluster analyses classified teams depending on time spent in possession of the ball: very high-percentage ball possession teams (VHPBPT), high-percentage ball possession teams (HPBPT), low-percentage ball possession teams (LPBPT) and very low-percentage ball possession teams (VLPBPT). Results: Overall, physical indicators were highly associated with ball possession. Distances covered in VHPBPT were lower than HPBPT, LPBPT and VLPBPT, especially at low and medium speed. Position-specific changes were also evident for physical profiles. Attackers (central midfielders, external midfielders and forwards) in VHPBPT covered fewer meters per minute at any speed than their counterparts in HPBPT, LPBPT or VLPBPT. However, defenders (Central defenders and External defenders) in VLPBPT covered lower distances. Conclusion: These findings may have a great deal of practical implications and may help coaches to better understand match-running variations according to ball possession strategies and could be used to develop a model for predicting the physical activity profile in competition.

This study aimed to evaluate the effects playing position, match location (home or away), quality of opposition (strong or weak), effective playing time (total time minus stoppages), and score-line on physical match performance in professional soccer players using a large-scale analysis. A total of 10,739 individual match observations of outfield players competing in the Spanish La Liga during the 2018–2019 season were recorded using a computerized tracking system (TRACAB, Chyronhego, New York, USA). The players were classified into five positions (central defenders, players = 94; external defenders, players = 82; central midfielders, players = 101; external midfielders, players = 72; and forwards, players = 67) and the following match running performance categories were considered: total distance covered, low-speed running (LSR) distance (0–14 km · h−1), medium-speed running (MSR) distance (14–21 km · h−1), high-speed running (HSR) distance (>21 km · h−1), very HSR (VHSR) distance (21–24 km · h−1), sprint distance (>24 km · h−1) Overall, match running performance was highly dependent on situational variables, especially the score-line condition (winning, drawing, losing). Moreover, the score-line affected players running performance differently depending on their playing position. Losing status increased the total distance and the distance covered at MSR, HSR, VHSR and Sprint by defenders, while attacking players showed the opposite trend. These findings may help coaches and managers to better understand the effects of situational variables on physical performance in La Liga and could be used to develop a model for predicting the physical activity profile in competition.

The aims of the current study were to analyze the evolution of players’ age in the UEFA Champions League since the start of its modern-day format in 1992–1993 up until 2017–2018 and to determine how the players’ age relates to their market value. The sample consisted of all players participating in the UEFA Champions League from the 1992–1993 to 2017–2018 seasons (n = 16062). The following variables were used in this study: players’ age, number of seasons in the club, number of Champions Leagues won, team performance, and market value of the player in the season. Data were examined using a one-way ANOVA and a linear regression. The main finding of the current study is that an aging trend has occurred in the last three decades in the Champions League. A significant increase in average players’ age (>1.6 years) was observed, rising from an age of 24.9 to 26.5 years. Goalkeepers and Center Backs tend to peak later than attackers, and their peak performance can last until an age of about 31 years. Finally, an inverted-U curve defines the association between market value and age, with peak value appearing in the 26–30 age range. These results provide useful information regarding at which age soccer players are likely to perform at the highest level, as well as the age they are likely to have the highest market value., CC BY 4.0Published online 2019 Jan 28

The aim of this study was to examine how the introduction of the VAR system influenced the play in elite soccer. The sample consists of 1024 matches played in the Italian Serie A and the German Bundesliga league during the seasons before and after the implementation of the VAR system. The following variables were recorded for each match: Fouls, Goals, Offsides, Penalties, Playing time in the first half, Playing time in the second half, Total Playing time, Red cards and Yellow cards. Match statistics were retrieved from the website of “Whoscored” (www.whoscored.com). A generalized linear model and a pairwise z-tests were used to compare seasons before and after the implementation of the VAR. There was a decrease in the number of offsides, fouls and yellow cards after the implementation of the VAR. Meanwhile, there was an increase in the number of minutes added to the playing time in the first half and the full game, but not in the second half. These findings may help coaches, players and managers to better understand the effects of the VAR system on professional soccer and to identify strategies to improve refereeing during matches., This work was supported by the Ministerio de Economía y Competitividad [DEP2016-75785-R].

The age of peak performance is likely to vary between sports and competitions, affected by the specific skills and attributes needed to succeed in the particular competition. However, no studies using modern tracking techniques have examined the effects of age on competitive match play performance. Thus, the purpose of this study was to evaluate the effects of age on match physical and technical performance using a large-scale analysis of match performance in professional soccer players. A total of 14 546 individual match observations were undertaken in the first German league (Bundesliga) during the 2012-2013, 2013-2014, and 2014-2015 seasons using a computerized tracking system (VISTRACK, by Impire Corp.). Differences in physical and technical match performance of soccer players were analyzed for the following variables: total distance covered, number of fast runs, number of sprints, and percentage of successful passes. Professional soccer players aged >30 years showed a significant lower performance in the total distance covered, the number of fast runs, and the number of sprints compared with younger players (≤30 years). Conversely, the player's ability to make successful passes increased with age. These effects were observed in all positional roles except wide midfielders. These findings may help coaches and managers to better understand the effects of age on match-related physical and technical performance and may have the potential to assist in decisions such as, when a new contract would be signed, the duration of the contract, the salary, or when to replace or transfer a player depending on their age.

The aim of the study was to demonstrate the impact of different operational definitions (definition 1 – Amisco; definition 2 – Garganta, 1997; definition 3 – Garganta, 1997, adapted) over the frequency and location of ball recovery, and provide bases to select the most useful definition to an intended analysis. The sample is the first half of twelve matches from the Spanish soccer league. Matches were registered using AMISCO®. Data were examined using Cochran’s Q test and Kruskal-Wallis test. Results showed that the frequency and location of ball recovery differ depending on the operational definition used. Definitions 1, 2 and 3 identified 909, 272 and 310 ball recoveries, respectively (p< 0.001 for all pairs of comparisons). The median distance from the goal to the location of ball recovery was, in meters, 40.0 (35.7) using definition 1, 32.2 (34.8) using definition 2 and 32.7 (34.3) when definition 3 was used (p<0.001 for comparisons between definition 1 and 2, and definition 1 and 3). The operational definitions impact in match analysis and consequently in the interpretation of the play. The criteria used should incorporate an instrumental selectivity that points to the purposes of the assessment. Concerning the frequency, definition 1 is the most glade, and definition 2 the most restrictive. Regarding the location, there were no significant differences between definition 2 and 3. Definition 2 allows to gain suitable and meaningful comparisons as previous studies has already based on it. Despite the differences, both definition 1 and 2 have a practical value. Ultimately, it is important to verify if the measurement instrument satisfies the logical intentions of the observational system.

Performance of football teams varies constantly due to the dynamic nature of this sport, whilst the typical performance and its spread can be represented by profiles combining different performance-related variables based on data from multiple matches. The current study aims to use a profiling technique to evaluate and compare match performance of football teams in the UEFA Champions League incorporating three situational variables (i.e. strength of team and opponent, match outcome and match location). Match statistics of 72 teams, 496 games across four seasons (2008-09 to 2012-13) of this competition were analysed. Sixteen performance-related events were included: shots, shots on target, shots from open play, shots from set piece, shots from counter attack, passes, pass accuracy (%), crosses, through balls, corners, dribbles, possession, aerial success (%), fouls, tackles, and yellow cards. Teams were classified into three levels of strength by a k-cluster analysis. Profiles of overall performance and profiles incorporating three situational variables for teams of all three levels of strength were set up by presenting the mean, standard deviation, median, lower and upper quartiles of the counts of each event to represent their typical performances and spreads. Means were compared by using one-way ANOVA and independent sample t test (for match location, home and away differences), and were plotted into the same radar charts after unifying all the event counts by standardised score. Established profiles can present straightforwardly typical performances of football teams of different levels playing in different situations, which could provide detailed references for coaches and analysts to evaluate performances of upcoming opposition and of their own.

The aim of this study was to analyze the influence of playing tactics and situational variables over the success obtained by an elite soccer team in the attacking phase. The sample was constituted by 908 possessions obtained by a team from the Spanish soccer league in 12 matches played during the 2009-2010 season. The dependent variable was the level of success obtained in the attacking phase. The independent variables considered were: six qualitative measures of the attacking behaviour, two qualitative measures of the defensive behaviour of the opponent and three situational variables. Sampled matches were registered by the AMISCO PRO® system. Data were analyzed using chi-square analysis and multiple logistic regression analysis. The results of the chi-square analysis show that there were differences in the possession outcome for starting zone, team possession type, number of passes, players in possession, passing options, opponent number, duration (P<0.001) and match status (P<0.05). The proposed logistic regression model was constituted by: starting zone, team possession type, duration, opponent number, match status, quality of the opposition, team possession type*starting zone and quality of the opposition*team possession type., El objetivo del presente estudio consiste en analizar la relación que guardan los modelos tácticos empleados y las variables situacionales con el éxito ofensivo de un equipo de fútbol de élite. La muestra utilizada está formada por las 908 unidades de posesión, originadas en fase dinámica del juego, obtenidas por un equipo de la liga española de fútbol en 12 partidos pertenecientes a la temporada 2009-2010. La variable dependiente es el nivel de éxito obtenido en la fase de ataque. Las variables independientes consideradas son: seis medidas cualitativas de la conducta ofensiva, dos medidas cualitativas de la conducta defensiva del rival y tres variables situacionales. Los datos han sido obtenidos utilizando el sistema AMISCO PRO®. El análisis de los datos se compone de un contraste Chi-cuadrado de Pearson y de un análisis de regresión logística binaria. Los resultados obtenidos muestran que las fases de ataque en las que se obtiene el éxito se diferencian de aquellas que no lo logran en cuanto a la zona de inicio, tipo de progresión, número de pases empleados, número de atacantes poseedores del balón, número de atacantes disponibles, número de defensores presentes, duración de la acción ofensiva (P<0.001) y marcador (P<0.05). El modelo de regresión logística binaria planteado incluye a los siguientes factores: zona de inicio, tipo de progresión, duración, número de defensores, marcador, nivel del rival, tipo de progresión*zona de inicio y nivel del rival*tipo de progresión.