Chinese soccer association super league, 2012–2017: key performance indicators in balance games

Abstract

The aim of the present study was to identify the game-related statistics which discriminate between winning, drawing and losing teams in Chinese Soccer Association Super League. The sample included 1056 balance games from the 2012-2017 Chinese Soccer Association Super League. Physical and technical game-related statistics were gathered. A one-way analysis of variance and discriminant analysis of data was done. The results showed that winning teams were significantly higher for the following game statistics: shots, shots on target, 50-50 challenge won, offsides, sprinting distance, sprinting effort, sprinting distance in ball possession and high-speed-running distance in ball possession. Losing teams had significantly higher averages in the variable crosses, passes, forward passes, sprinting distance out of ball possession and high-speed-running distance out of ball possession. Discriminant analysis concluded the following: the variables that discriminate between winning, drawing and losing teams were the shots on target, sprinting distance in ball possession, quality of opposition, passes and forward passes. Coaches and players should be aware of these different profiles in order to design and evaluate practices and competitions for their teams.

Where do the best technical football players in the world come from? Analysing the association between technical proficiency and geographical origin in elite football

“…Variables utilised in this study were identified by previous literature (Hughes et al, 2012;Jamil, McErlain-Naylor, et al, 2020;Lago-Peñas et al, 2010;Liu et al, 2016;Zhou et al, 2018) and therefore consisted of a total of 43 technical metrics. These variables were categorised into four areas, shooting, passing, defensive | 2020 | ISSUE -| VOLUME --© 2020 University of Alicante and errors.…”

“…Recent years have seen much research focussed on factors that impact player performance in football with some research focussing upon the physical aspects of player performance (Andrzejewski et al, 2013;Di Salvo et al, 2009), technical aspects of player performance (Fernandez-Navarro et al, 2016;Jamil, McErlain-Naylor, et al, 2020;Liu et al, 2013), or both physical and technical parameters (Bush et al, 2015;Zhou et al, 2018). It has been widely acknowledged that performance in football is influenced by a combination of physiological, psychological, tactical and technical variables (Hughes et al, 2012) demonstrating the multifaceted nature of performances in football where many parameters contribute to success (Mackenzie & Cushion, 2013).…”

“…With regards to technical variables previous literature has emphasised the importance of defensive actions (Hughes et al, 2012;Lago-Peñas et al, 2010), as well as accurate passing and shooting (Collet, 2013;Hughes et al, 2012). Metrics pertaining to the actions of passing and shooting in particular have received much attention in recent years (Hughes et al, 2012;Jamil, McErlain-Naylor, et al, 2020;Lago-Peñas et al, 2010;Liu et al, 2015Liu et al, , 2016Zhou et al, 2018) and there is now a substantial body of research indicating technical skills such as passing, ball control, dribbling and shooting are the most prominent aspects of performance that are evaluated by coaches and scouts in talent identification systems when distinguishing between the skilled and less-skilled youth football players (Larkin & Reeves, 2018;Sarmento et al, 2018).…”

“…Previous research has made apparent that 1) successful execution of technical actions such as passing and shooting are key determinants of performance (Collet, 2013;Hughes et al, 2012;Jamil, McErlain-Naylor, et al, 2020;Lago-Peñas et al, 2010;Liu et al, 2015Liu et al, , 2016Zhou et al, 2018) and 2) technical performance VOLUME --| ISSUE -| 2020 | 3 profiles of players can be directly and indirectly influenced by socio-cultural factors unique to each country (Gai et al, 2019;Jamil, McErlain-Naylor, et al, 2020;Mitrotasios et al, 2019;Sarmento et al, 2013). As far as the author is aware, there have been no scientific studies that have examined where the most proficient technical players in the world come from, therefore the findings of this study can enable scouting resources to be allocated more efficiently, thereby enabling a club's recruitment department to make more informed and objective transfer decisions.…”

Cognitive Functioning, Physical Fitness, and Game Performance in a Sample of Adolescent Soccer Players

“…Specifically, in open sports such as soccer, which takes place in a dynamic context with a multitude of interactions and possibilities, the factors that modulate an athlete's performance are even more complex. Those that have been described include physical, technical, and tactical demands, field positioning, and players' roles, among others [3][4][5]. Although some authors have focused on individual actions to explain sports performance [6], there are numerous studies that have attempted to analyze the interactions between different variables and how these influence group factors, such as training and the tactical component, among others, to explain performance from a group dimension [7][8][9].…”