Speed synchronization, physical workload and match-to-match performance variation of elite football players

This study aimed to: (i) examine whether the speed synchronization and physical performance of an elite football team changed between the first and the second half, using match time blocks of 15-min, and (ii) explore the match-to-match variation of players’ speed synchronization performance. Twenty-eight outfield elite footballers participated in 51 official matches. Positional data were gathered and used to calculate the total distance covered as a physical workload indicator. For all the outfield teammate dyad combinations (45 pairs), it was processed the percentage of time that players’ speed was synchronized during walking, jogging and running using relative phase (Hilbert Transform). Also, the match-to-match variation of the players’ speed synchronization, expressed in coefficient of variation was computed. The differences in the total distance covered from all players within the different match’s time block periods revealed a moderate decrease in the distance covered in the last 15-min of the match compared to the first 15-min (-6.5; ±1.07%, most likely: change in means with 95% confidence limits). However, when compared the last minutes from both halves a small increase was observed (2.7; ±1.2%, likely) from first to second half. The synchronization of the players’ speed displacements revealed small to moderate decreases in the % of synchronization in the second half periods for the jogging and running speed, while the opposite was found for the walking speed (~13 to 24% more, most likely). The playing position analysis for the walking zone showed similar trends between the groups, with small to moderate higher values in the second half, with the exception of [30’-45’] vs [75’-90’] in the midfielder’s dyads and in [15’-30’] vs [60’-75’] match periods for forwards. Similar trend was found during the running speed, in which small to moderate higher synchronization was found during the first half periods, with the exception of [15’-30’] vs [60’-75’] and [30’-45’] vs [75’-90’] in midfielder’s dyads. Regarding to the match-to-match variation of the players’ speed synchronization, overall results showed small to moderate increases in coefficient of variation during jogging and running displacements from the beginning to the end of the match (32.1; ±13.2% increase in jogging and 26.2; ±10.5% in running, both comparisons most likely). The higher distance covered during most of the first half periods and the higher dyadic synchronization at high speeds might have limited players’ performance in the second half. In addition, the decrease trend in speed synchronization during the second half periods might have resulted from accumulated muscular and mental fatigue towards the match. Within, the match-to-match variation in tactical-related variables increased across the match duration, with especial focus in the midfielder dyads. Dyadic speed synchronization might provide relevant information concerning the individual and collective performance.

[1]  B. Travassos,et al.  Spatiotemporal coordination behaviors in futsal (indoor football) are guided by informational game constraints. , 2012, Human movement science.

[2]  P. Bradley,et al.  High-Intensity Activity Profiles of Elite Soccer Players at Different Performance Levels , 2010, Journal of strength and conditioning research.

[3]  G. Atkinson,et al.  Match-to-Match Variability of High-Speed Activities in Premier League Soccer , 2010, International journal of sports medicine.

[4]  Jaime Sampaio,et al.  Exploring Team Passing Networks and Player Movement Dynamics in Youth Association Football , 2017, PloS one.

[5]  C. Carling,et al.  Match-to-match variability in high-speed running activity in a professional soccer team , 2016, Journal of sports sciences.

[6]  Keith Davids,et al.  Numerical Relations and Skill Level Constrain Co-Adaptive Behaviors of Agents in Sports Teams , 2014, PloS one.

[7]  P. Krustrup,et al.  Physical and metabolic demands of training and match-play in the elite football player , 2006, Journal of sports sciences.

[8]  Hugo Folgado,et al.  Positional synchronization affects physical and physiological responses to preseason in professional football (soccer) , 2018, Research in sports medicine.

[9]  Timothy D Noakes,et al.  Match running performance fluctuations in elite soccer: Indicative of fatigue, pacing or situational influences? , 2013, Journal of sports sciences.

[10]  Jaime Sampaio,et al.  Technical performance and match-to-match variation in elite football teams , 2016, Journal of sports sciences.

[11]  B Drust,et al.  Analysis of High Intensity Activity in Premier League Soccer , 2009, International journal of sports medicine.

[12]  Thomas Reilly,et al.  The Role of Motion Analysis in Elite Soccer , 2008, Sports medicine.

[13]  Nicholas Stergiou,et al.  A Perspective on Human Movement Variability With Applications in Infancy Motor Development , 2013 .

[14]  V. Di Salvo,et al.  Performance Characteristics According to Playing Position in Elite Soccer , 2006, International journal of sports medicine.

[15]  Carlo Castagna,et al.  Reduction in physical match performance at the start of the second half in elite soccer. , 2011, International journal of sports physiology and performance.

[16]  C. Lago-Peñas,et al.  Analysis of work-rate in soccer according to playing positions , 2009 .

[17]  S. Marshall,et al.  Progressive statistics for studies in sports medicine and exercise science. , 2009, Medicine and science in sports and exercise.

[18]  C. Sève,et al.  Space–time coordination dynamics in basketball: Part 1. Intra- and inter-couplings among player dyads , 2010, Journal of sports sciences.

[19]  A. Dellal,et al.  Ball Possession Strategies in Elite Soccer According to the Evolution of the Match-Score: the Influence of Situational Variables , 2010 .

[20]  Martin Buchheit,et al.  The Numbers Will Love You Back in Return-I Promise. , 2016, International journal of sports physiology and performance.

[21]  R Kannekens,et al.  Positioning and deciding: key factors for talent development in soccer , 2011, Scandinavian journal of medicine & science in sports.

[22]  Oliver Faude,et al.  Straight sprinting is the most frequent action in goal situations in professional football , 2012, Journal of sports sciences.

[23]  C. Castagna,et al.  Variation in top level soccer match performance. , 2007, International journal of sports medicine.

[24]  J. Sampaio,et al.  Changes in Effective Playing Space when Considering Sub-Groups of 3 to 10 Players in Professional Soccer Matches , 2018, Journal of human kinetics.

[25]  Bruno Gonçalves,et al.  Dynamics of tactical behaviour in association football when manipulating players' space of interaction , 2017, PloS one.

[26]  Hugo Folgado,et al.  Effects of Pitch Area-Restrictions on Tactical Behavior, Physical, and Physiological Performances in Soccer Large-Sided Games , 2017, Journal of strength and conditioning research.

[27]  Aaron J Coutts,et al.  Match-to-match variation in physical activity and technical skill measures in professional Australian Football. , 2015, Journal of science and medicine in sport.

[28]  Ian M Franks,et al.  Sport competition as a dynamical self-organizing system , 2002, Journal of sports sciences.

[29]  Keith Davids,et al.  Capturing complex, non-linear team behaviours during competitive football performance , 2013, Journal of Systems Science and Complexity.

[30]  Maarten A. S. Boksem,et al.  Effects of mental fatigue on attention: an ERP study. , 2005, Brain research. Cognitive brain research.

[31]  Hugo Folgado,et al.  The effects of congested fixtures period on tactical and physical performance in elite football , 2015, Journal of sports sciences.

[32]  Jaime Sampaio,et al.  Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game , 2014, Journal of sports sciences.

[33]  Pier-Giorgio Zanone,et al.  A dynamical analysis of tennis: Concepts and data , 2005, Journal of sports sciences.

[34]  P. Krustrup,et al.  Match performance of high-standard soccer players with special reference to development of fatigue , 2003, Journal of sports sciences.

[35]  Jack D. Ade,et al.  Match performance and physical capacity of players in the top three competitive standards of English professional soccer. , 2013, Human movement science.

[36]  Keith Davids,et al.  Performance analysis in team sports: Advances from an Ecological Dynamics approach , 2013 .

[37]  Daniel Memmert,et al.  Current Approaches to Tactical Performance Analyses in Soccer Using Position Data , 2016, Sports Medicine.

[38]  Thomas Losnegard,et al.  Variability and predictability of performance times of elite cross-country skiers. , 2014, International journal of sports physiology and performance.

[39]  Christopher Carling,et al.  Are declines in physical performance associated with a reduction in skill-related performance during professional soccer match-play? , 2011, Journal of sports sciences.

[40]  Hugo Folgado,et al.  Competing with Lower Level Opponents Decreases Intra-Team Movement Synchronization and Time-Motion Demands during Pre-Season Soccer Matches , 2014, PloS one.

[41]  Aaron J. Coutts,et al.  Mental fatigue impairs soccer-specific decision-making skill , 2016, Journal of sports sciences.

[42]  Joshua Trewin,et al.  The match-to-match variation of match-running in elite female soccer. , 2018, Journal of science and medicine in sport.

[43]  Bruno Travassos,et al.  Mental Fatigue and Spatial References Impair Soccer Players' Physical and Tactical Performances , 2017, Front. Psychol..

[44]  Nicholas Stergiou,et al.  Nonlinear Analysis for Human Movement Variability , 2016 .

[45]  Craig Wright,et al.  Comment on ‘Performance analysis in football: A critical review and implications for future research’ , 2014, Journal of sports sciences.

[46]  Alan M Batterham,et al.  Making meaningful inferences about magnitudes. , 2006, International journal of sports physiology and performance.