Abstract
This paper aims to identify the playing styles of football clubs and their influence on clubs’ performance. K-means clustering algorithm was applied to all the passes distributed among the football teams to get the unique z-score and recognise the most outstanding coaching contribution. The Russian Premier League – from 2017/18 to 2019/20 – is the setting inspected. The calculated score for each club shows that FC UFA under the guidance of Sergei Semak in 2017/2018, FC Krasnodar with Igor Shalimov in 2017/2018 and Magomed Adiev with FC Anzhi in 2018/2019, in the greater extent, differ from the other clubs that participated in the league over the researched period. The empirical findings reveal that playing experience of a coach has a positive effect on the outcome of a match, while coaching tenure has a reduced negative effect. This study contributes with new insights regarding coaching style identification on professional football.
More Information
Divisions: | Carnegie School of Sport and School of Events, Tourism and Hospitality Management |
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Status: | In Press |
Refereed: | No |
Publisher: | Inderscience |
Uncontrolled Keywords: | 1503 Business and Management, 1504 Commercial Services, Business & Management, |
Depositing User (symplectic) | Deposited by Miranda Gasparetto, Thadeu |
Date Deposited: | 26 Sep 2023 09:02 |
Last Modified: | 19 Jul 2024 19:39 |
Item Type: | Article |
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