Search

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. [ABSTRACT FROM AUTHOR]

Referees have discretion over the addition of extra time at the end of the soccer game to compensate for lost time due to unusual stoppages. This study assesses if referees favor big teams by shortening close games where the big team is ahead and lengthening close games where the big team is behind. The sample comprises all 380 matches in the Spanish La Liga during the 2014-2015 season. The dependent variable was the extra time the referee decides to add to the second half. The independent variables were the score difference, opponent team's level of play, yellow cards, red cards, player substitutions, average attendance, and fouls committed. Linear regression analysis suggested that the greater the score difference between teams, the less extra time was added by the referee. However, in close games, referees tended to add more time for a higher level team when they were behind and add less time when they were ahead. Red cards and the number of fouls committed increased the extra time. [ABSTRACT FROM AUTHOR]

Identifying match statistics that strongly contribute to winning in football matches is a very important step towards a more predictive and prescriptive performance analysis. The current study aimed to determine relationships between 24 match statistics and the match outcome (win, loss and draw) in all games and close games of the group stage of FIFA World Cup (2014, Brazil) by employing the generalised linear model. The cumulative logistic regression was run in the model taking the value of each match statistic as independent variable to predict the logarithm of the odds of winning. Relationships were assessed as effects of a two-standard-deviation increase in the value of each variable on the change in the probability of a team winning a match. Non-clinical magnitude-based inferences were employed and were evaluated by using the smallest worthwhile change. Results showed that for all the games, nine match statistics had clearly positive effects on the probability of winning (Shot, Shot on Target, Shot from Counter Attack, Shot from Inside Area, Ball Possession, Short Pass, Average Pass Streak, Aerial Advantage and Tackle), four had clearly negative effects (Shot Blocked, Cross, Dribble and Red Card), other 12 statistics had either trivial or unclear effects. While for the close games, the effects of Aerial Advantage and Yellow Card turned to trivial and clearly negative, respectively. Information from the tactical modelling can provide a more thorough and objective match understanding to coaches and performance analysts for evaluating post-match performances and for scouting upcoming oppositions. [ABSTRACT FROM AUTHOR]

The aims of this study were twofold: (1) to examine the influence of situational variables on ball possession in elite soccer and (2) to quantify the variables that discriminate between high or low percentage ball possession teams (HPBPT and LPBPT) across different playing positions. Match performance data were collected from English Premier League matches using a multiple-camera system. Data were examined using linear regression, a 2 × 5 factorial analysis of variance and discriminant analysis. Playing against weak opposition was associated with an increase (P < 0.01) in time spent in possession while playing away decreased (P < 0.01) the time spent in possession by ~3%. Possession was increased (P < 0.01) when losing than winning or drawing. Finally, the better the ranking of a team, the higher (P < 0.01) the time spent in possession. The playing position effect was significant for all variables (P < 0.05); however, there were only interactions with team ball possession in some cases. The discriminant analysis identified functions for all five playing positions (P < 0.01). The variables that discriminated performance between HPBPT and LPBPT were different for various playing positions, although the number of successful passes was the most common discriminating variable. The results demonstrate that HPBPT and LPBPT developed different possession strategies during matches and that selected variables such as successful passes were identified to explain these data trends across various playing positions. Combinations of variables could be used to develop a probabilistic model for predicting time spent in possession by teams. [ABSTRACT FROM AUTHOR]

The goal of this study was to examine the effects of three different scorelines (1 Goal Up, Level Score, 1 Goal Down) on match performance indicators in elite soccer. Ball possession decreased when teams were 1 goal up. High Range Budget Clubs (HRBC) and Upper-Mid Range Budget Clubs (UMRBC) dominated possession against their opponents whether winning, losing, or drawing. Lower-Mid Range Budget Clubs (LMRBC) and Low Range Budget Clubs (LRBC) had less possession than HRBC. The probability of reaching the final one-third of the pitch decreased when teams were 1 goal up. LMRBC and LRBC had less match final third entries than HRBC. Similarly, shots on goal decreased when teams were 1 goal up. These findings could be used by coaches and match analysts when they evaluate performance and develop training drills· [ABSTRACT FROM AUTHOR]

The aim of this study was to examine the effects of high (HPBPT) and low percentage ball possession teams (LPBPT) on physical and technical profiles in elite soccer matches. Match performance data were collected from players in the English FA Premier League (n= 810) using a multiple-camera computerised tracking system. Physical indicators such as the total (10690 ± 996 vs 10778 ± 979 m; effect size [ES] = 0.11) and high-intensity running distance covered in matches (931 ± 299 vs 938 ± 311 m; ES = 0.13) did not differ between HPBPT and LPBPT. However, high-intensity running with ball possession in HPBPT was 31% higher (P< 0.01) than LPBPT (449 ± 266 vs 343 ± 236 m; ES = 0.42) but 22% lower without ball possession (423 ± 153 vs 539 ± 177 m; ES = 0.73). Players in HPBPT performed 44% more (P< 0.01) passes than those in LPBPT (35.3 ± 14.2 vs 24.6 ± 11.2; ES = 0.83). This trend was also evident (P< 0.05) for successful passes, received passes, touches per possession, shots, dribbles and final-third entries (ES range of 0.20–0.94). Central defenders of LPBPT covered 33% less (P< 0.01) high-intensity running with ball possession than central defenders of HPBPT. While fullbacks, attackers, central and wide midfielders of LPBPT covered more (P< 0.01) high-intensity running without and less with ball possession than their HPBPT counterparts (ES range of 0.91–1.23). Technical indicators such as total passes and passes received were higher (P< 0.01) across all positions in HPBPT than LPBPT (ES range of 0.82–1.52). The data demonstrate that percentage ball possession does not influence the overall activity profile of a team but impacts on the composition of high-intensity running efforts (with and without ball) and some technical elements of performance. Position-specific changes in physical and technical profiles were evident for teams employing different ball possession percentages and this information could aid training preparation. [ABSTRACT FROM PUBLISHER]

The article discusses research which was conducted to determine the effectiveness of active and passive recovery interventions performed immediately after a training session had on muscle contractile properties using tensiomyography (TMG) and perceived muscle soreness 24 hours after the training. Researchers evaluated 31 soccer players. They found that there were no differences in heart rate and rating of perceived exertion between the active and passive groups.

The aim of this study was to analyse the influence of playing tactics, opponent interaction and situational variables on achieving score-box possessions in professional soccer. 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. Multidimensional qualitative data obtained from 12 ordered categorical variables were used. Sampled matches were registered by the AMISCO PRO® system. Data were analysed using chi-square analysis and multiple logistic regression analysis. Of 908 possessions, 303 (33.4%) produced score-box possessions, 477 (52.5%) achieved progression and 128 (14.1%) failed to reach any sort of progression. Multiple logistic regression showed that, for the main variable “team possession type”, direct attacks and counterattacks were three times more effective than elaborate attacks for producing a score-box possession (P < 0.05). Team possession originating from the middle zones and playing against less than six defending players (P < 0.001) registered a higher success than those started in the defensive zone with a balanced defence. When the team was drawing or winning, the probability of reaching the score-box decreased by 43 and 53 percent, respectively, compared with the losing situation (P < 0.05). Accounting for opponent interactions and situational variables is critical to evaluate the effectiveness of offensive playing tactics on producing score-box possessions. [ABSTRACT FROM PUBLISHER]