Differences in performance indicators between winning and losing teams in the UEFA Champions League: The aim of the present study was to identify performance indicators that discriminate winning teams from drawing and losing teams in the UEFA Champions League. All 288 matches played at the group stage in the 2007-2008, 2008-2009, and 2009-2010 seasons were analyzed. The game-related statistics gathered were: total shots, shots on goal, effectiveness, passes, successful passes, crosses, offsides committed and received, corners, ball possession, crosses against, fouls committed and received, corners against, yellow and red cards, venue, and quality of opposition. Data were analyzed performing a one-way ANOVA and a discriminant analysis. The results showed that winning teams had significantly higher average values that were for the following game statistics: total shots (p<0.01), shots on goal (p<0.01), effectiveness (p<0.01), passes (p<0.05), successful passes (p<0.05), and ball possession (p<0.05). Losing teams had significantly higher values in the variable yellow cards (p<0.01), and red cards (p<0.01). Discriminant analysis allowed to conclude the following: the variables that discriminate between winning, drawing and losing teams were the shots on goal, crosses, ball possession, venue and quality of opposition. Coaches and players should be aware of these different profiles in order to increase knowledge about game cognitive and motor solicitation and, therefore, to design and evaluate practices and competitions for soccer peak performance teams in a collective way.

Background In modern professional soccer, the ability to recover from official match-play and intense training is often considered a determining factor in subsequent performance. Objective To investigate the influence of playing multiple games with a short recovery time between matches on physical activity, technical performance and injury rates. Methods The variation of physical (overall distance, light-intensity, low-intensity, moderate-intensity and high-intensity running) and technical performance (successful passes, balls lost, number of touches per possession and duels won) of 16 international players was examined during three different congested periods of matches (six games in 18 days) from the French League and Cup (n=12), and the UEFA Champions’ League (n=6) during the 2011–2012 season and compared with that reported in matches outside these periods. Data were collected using a computerised match analysis system (Amisco). Injury rate, time loss injuries, as well as the mechanism, circumstances and severity of the injury were also analysed. Results No differences were found across the six successive games in the congested period, and between no congested and the three congested periods for all the physical and technical activities. The total incidence of injury (matches and training) across the prolonged congested periods did not differ significantly to that reported in the non-congested periods. However, the injury rate during match-play was significantly higher during the congested period compared with the non-congested period (p<0.001). The injury rate during training time was significantly lower during the congested period compared with the non-congested periods (p<0.001). The mean lay-off duration for injuries was shorter during the congested periods compared with the non-congested periods (9.5±8.8 days vs 17.5±29.6 days, respectively p=0.012, effect sizes=0.5). Conclusions Although physical activity, technical performance and injury incidence were unaffected during a prolonged period of fixture congestion, injury rates during training and match-play and the lay-off duration were different to that reported in matches outside this period.

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.

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.

University students, as a result of their lifestyles, represent a section of the population that is most likely to adopt sedentary behaviours. The aim of the present study was to analyse the determining factors dictating the performance of physical activity as well as sedentary behaviour among university students. A total of 608 students (64.6% women) from the University of Santiago de Compostela (Spain) were selected by stratified random sampling to take part in the study, which involved completing a questionnaire on lifestyle and physical activity. Of the participating students, 69.6% indicated that they performed physical activity; the main reasons given were to maintain fitness and for health, while a lack of time and laziness were the principal reasons given for abandoning or not taking up physical exercise. Significant associations were established between not doing physical activity and the time exposed to screens, time studying, feeling low and smoking; on the other hand, associations could be seen between doing physical activity and the participation of relatives (parents, mothers, partners, older siblings and friends) in physical activity, as well as a positive sense of satisfaction relating to physical education taught in schools. In conclusion, most of the university students did some physical activity, which was associated with less sedentary behaviour, while the influence of school physical education and of the habits of relatives played an important role.

Purpose: To evaluate match performances of substitute players using different research designs.Methods: English Premier League matches were analyzed using a multiple-camera system. Two research designs were adopted: an independent-measures analysis comparing the match-performance characteristics of players completing the entire match (n = 810) vs substitutes (n = 286) and the players they replaced (n = 286) and a repeated-measures analysis comparing the same players completing full matches vs those in which they were introduced as a substitute (n = 94).Results: Most substitutions (P < .05) occurred at halftime and between the 60- to 85-min vs all first-half periods and the remaining second-half periods (effect size [ES]: 0.85–1.21). These substitutions become more (P < .01) offensive (eg, more attacking positions were introduced) in relation to the positions introduced as the half progressed (ES: 0.93–1.37). Independent-measures analysis indicated that high-intensity running was greater (P < .01) in substitutes compared with players who either completed the entire match or were replaced (ES: 0.28–0.67), but no differences were evident for pass-completion rates (ES: 0.01–0.02). Repeated-measures analysis highlighted that players covered more (P < .01) high-intensity running when they were introduced as substitutes compared with the equivalent period of the second- but not the first-half period (ES: 0.21–0.47). Both research designs indicated that attackers covered more (P < .05) high-intensity running than peers or their own performances when completing the entire match (ES: 0.45– 0.71).Conclusions: Substitutes cover greater high-intensity-running distance; this was particularly evident in attackers, but pass-completion rates did not differ for any position. This information could be beneficial to coaches regarding optimizing the match running performances of their players, but much more work needs to be undertaken to investigate the overall impact of substitutes (physical, technical indicators, and contribution to key moments of matches).