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

Changjing Zhou, Shaoliang Zhang, Alberto Lorenzo Calvo and Yixiong Cui

International Journal of Performance Analysis in Sport, 2018, vol. 18, issue 4, 645-656

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.

Date: 2018
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Citations: View citations in EconPapers (6)

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DOI: 10.1080/24748668.2018.1509254

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