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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Classification and determinants of passing difficulty in soccer: a multivariate approach

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Author(s):
Merlin, Murilo [1] ; Pinto, Allan [2, 1] ; de Almeida, Alexandre Gomes [1] ; Moura, Felipe A. [3] ; Torres, Ricardo Da Silva [4] ; Cunha, Sergio Augusto [1]
Total Authors: 6
Affiliation:
[1] Univ Estadual Campinas, Sch Phys Educ, Campinas - Brazil
[2] Univ Estadual Campinas, Inst Comp, Campinas - Brazil
[3] Univ Estadual Londrina, Lab Appl Biomech, Londrina, Parana - Brazil
[4] NTNU Norwegian Univ Sci & Technol, Fac Informat Technol & Elect Engn, Dept ICT & Nat Sci, Alesund - Norway
Total Affiliations: 4
Document type: Journal article
Source: SCIENCE AND MEDICINE IN FOOTBALL; OCT 2021.
Web of Science Citations: 0
Abstract

Introduction Usually, the players' or teams' efficiency to perform passes is measured in terms of accuracy. The degree of difficulty of this action has been overlooked in the literature. Objectives The present study aimed to classify the degree of passing difficulty in soccer matches and to identify and to discuss the variables that most explain the passing difficulty using spatiotemporal data. Results The data used corresponds to 2,856 passes and 32 independent variables. The Fisher Discriminant Analysis presented 72.0% of the original grouped cases classified correctly. The passes analyzed were classified as low (56.5%), medium (22.6%), and high difficulty (20.9%), and we identified 16 variables that best explain the degree of passing difficulty related to the passing receiver, ball trajectory, pitch position and passing player. Conclusions The merit and ability of the player to perform passes with high difficulty should be valued and can be used to rank the best players and teams.In addition, the highlighted variables should be looked carefully by coaches when analyzing profiles, strengths and weaknesses of players and teams, and talent identification context. Practical Implications The values found for each variable can be used as a reference for planning training, such as small side games, and in future research. (AU)

FAPESP's process: 18/19007-9 - Find dribbling time series in a physical-tactical-technical scenario during official professional matches
Grantee:Sergio Augusto Cunha
Support Opportunities: Scholarships abroad - Research
FAPESP's process: 19/16253-1 - Unraveling the secret of Brazilian and Dutch soccer by capturing successful elements of playing style and playing strategies
Grantee:Allan da Silva Pinto
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 16/50250-1 - The secret of playing football: Brazil versus the Netherlands
Grantee:Sergio Augusto Cunha
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 17/20945-0 - Multi-user equipment approved in great 16/50250-1: local positioning system
Grantee:Sergio Augusto Cunha
Support Opportunities: Multi-user Equipment Program