Literature DB >> 33707999

Attacking Key Performance Indicators in Soccer: Current Practice and Perceptions from the Elite to Youth Academy Level.

Mat Herold1,2, Matthias Kempe3, Pascal Bauer2,4, Tim Meyer1,2.   

Abstract

Key Performance Indicators (KPIs) are used to evaluate the offensive success of a soccer team (e.g. penalty box entries) or player (e.g. pass completion rate). However, knowledge transfer from research to applied practice is understudied. The current study queried practitioners (n = 145, mean ± SD age: 36 ± 9 years) from 42 countries across different roles and levels of competition (National Team Federation to Youth Academy levels) on various forms of data collection, including an explicit assessment of twelve attacking KPIs. 64.3% of practitioners use data tools and applications weekly (predominately) to gather KPIs during matches. 83% of practitioners use event data compared to only 52% of practitioners using positional data, with a preference for shooting related KPIs. Differences in the use and value of metrics derived from positional tracking data (including Ball Possession Metrics) were evident between job role and level of competition. These findings demonstrate that practitioners implement KPIs and gather tactical information in a variety of ways with a preference for simpler metrics related to shots. The low perceived value of newer KPIs afforded by positional data could be explained by low buy-in, a lack of education across practitioners, or insufficient translation of findings by experts towards practice. © Journal of Sports Science and Medicine.

Keywords:  Football; applied data-science; match analysis; performance analysis; soccer

Mesh:

Year:  2021        PMID: 33707999      PMCID: PMC7919358          DOI: 10.52082/jssm.2021.158

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  33 in total

1.  Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches.

Authors:  Albin Tenga; Ingar Holme; Lars Tore Ronglan; Roald Bahr
Journal:  J Sports Sci       Date:  2010-02       Impact factor: 3.337

2.  Sources, topics and use of knowledge by coaches.

Authors:  John Stoszkowski; Dave Collins
Journal:  J Sports Sci       Date:  2015-07-29       Impact factor: 3.337

3.  Match statistics related to winning in the group stage of 2014 Brazil FIFA World Cup.

Authors:  Hongyou Liu; Miguel-Ángel Gomez; Carlos Lago-Peñas; Jaime Sampaio
Journal:  J Sports Sci       Date:  2015-03-20       Impact factor: 3.337

Review 4.  Performance analysis in football: a critical review and implications for future research.

Authors:  Rob Mackenzie; Chris Cushion
Journal:  J Sports Sci       Date:  2012-12-19       Impact factor: 3.337

Review 5.  Small-sided games in team sports training: a brief review.

Authors:  Jamel Halouani; Hamdi Chtourou; Tim Gabbett; Anis Chaouachi; Karim Chamari
Journal:  J Strength Cond Res       Date:  2014-12       Impact factor: 3.775

6.  "Which pass is better?" Novel approaches to assess passing effectiveness in elite soccer.

Authors:  Robert Rein; Dominik Raabe; Daniel Memmert
Journal:  Hum Mov Sci       Date:  2017-08-21       Impact factor: 2.161

7.  What's in a game? A systems approach to enhancing performance analysis in football.

Authors:  Scott McLean; Paul M Salmon; Adam D Gorman; Gemma J M Read; Colin Solomon
Journal:  PLoS One       Date:  2017-02-17       Impact factor: 3.240

8.  When Something Is at Stake: Differences in Soccer Performance in 11 vs. 11 During Official Matches and Training Games.

Authors:  Sigrid B H Olthof; Wouter G P Frencken; Koen A P M Lemmink
Journal:  J Strength Cond Res       Date:  2019-01       Impact factor: 3.775

9.  Possession Zone as a Performance Indicator in Football. The Game of the Best Teams.

Authors:  Claudio A Casal; Rubén Maneiro; Toni Ardá; Francisco J Marí; José L Losada
Journal:  Front Psychol       Date:  2017-07-14

10.  Validation of electronic performance and tracking systems EPTS under field conditions.

Authors:  Daniel Linke; Daniel Link; Martin Lames
Journal:  PLoS One       Date:  2018-07-23       Impact factor: 3.240

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  3 in total

1.  Integrative Proposals of Sports Monitoring: Subjective Outperforms Objective Monitoring.

Authors:  Lluc Montull; Agne Slapšinskaitė-Dackevičienė; John Kiely; Robert Hristovski; Natàlia Balagué
Journal:  Sports Med Open       Date:  2022-03-26

2.  Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data.

Authors:  Steffen Lang; Raphael Wild; Alexander Isenko; Daniel Link
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

3.  The "Hockey" Assist Makes the Difference-Validation of a Defensive Disruptiveness Model to Evaluate Passing Sequences in Elite Soccer.

Authors:  Leander Forcher; Matthias Kempe; Stefan Altmann; Leon Forcher; Alexander Woll
Journal:  Entropy (Basel)       Date:  2021-11-30       Impact factor: 2.524

  3 in total

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