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Find dribbling time series in a physical-tactical-technical scenario during official professional matches

Grant number: 18/19007-9
Support Opportunities:Scholarships abroad - Research
Effective date (Start): February 01, 2019
Effective date (End): January 31, 2020
Field of knowledge:Health Sciences - Physical Education
Principal Investigator:Sergio Augusto Cunha
Grantee:Sergio Augusto Cunha
Host Investigator: Koen A.P.M. Lemmink
Host Institution: Faculdade de Educação Física (FEF). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Research place: University of Groningen, Netherlands  
Associated research grant:16/50250-1 - The secret of playing football: Brazil versus the Netherlands, AP.TEM

Abstract

Football is a very complex sport because it is a passing game between ten players (or eleven if the goalkeeper is included) to try to reach the opponent's goal or to maintain possession of the ball to guarantee the result previously achieved, while the opposing team must protect its goal and try to disarm the opponent. Even with complex personal interactions among twenty-two players on the field, what is now known is that physical, tactical, and technical factors is a challenge that sport and computer scientists have lately discovered using applied Machine Learning techniques to spatiotemporal variables of the analyzed team, the opposing team and the ball, in situations of possession of the ball (attack) and without possession of the ball (defence), when the ball is in play. So, for the interaction of physical-tactical-technical random variables, it is necessary that we have an accurate time-motion analysis system because velocity and acceleration vectors are the basis of physical actions, including technical time series (dribbling) in real tactics situations of the match. Furthermore, one of the most important skills in soccer is dribbling, the ability to take on opposition players and past them the ball quickly. By beating defenders, players can create space for teammates, provide scoring opportunities, and pull defenders out of their preferred positions. As a result, high-level dribbling is one of the most effective attacking skills in soccer, and top professional clubs seek to create and develop players who excel at it. The dribble can be performed by touching the ball with any permitted body part by rule, or even without touching the ball. Then, the aim of the research is looking for how we can find dribbling actions time series from velocity-acceleration time series in real tactical situations for each player on the field using Machine Learning approaches. The hypotheses are that Brazilian players dribble more than Dutch ones, mainly in the lateral parts of the field, and these actions are usually performed by external defenders and wingers. To confirm it, I will follow in loco FC Groningen matches using Inmotio system to compare, in future, with other Dutch teams and with Brazilian teams whose players' position will be also determined by the LPM system. (AU)

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Scientific publications (10)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MERLIN, MURILO; PINTO, ALLAN; DE ALMEIDA, ALEXANDRE GOMES; MOURA, FELIPE A.; TORRES, RICARDO DA SILVA; CUNHA, SERGIO AUGUSTO. Classification and determinants of passing difficulty in soccer: a multivariate approach. SCIENCE AND MEDICINE IN FOOTBALL, . (18/19007-9, 19/16253-1, 16/50250-1, 17/20945-0)
DE OLIVEIRA BUENO, MURILO JOSE; SILVA, MAISA; CUNHA, SERGIO AUGUSTO; TOFFEE, RICARDO DA SILVA; MOURA, FELIPE ARRUDA. Multiscale fractal dimension applied to tactical analysis in football: A novel approach to evaluate the shapes of team organization on the pitch. PLoS One, v. 16, n. 9, . (18/19007-9, 16/50250-1, 17/20945-0)
DE OLIVEIRA BUENO, MURILO JOSE; CAETANO, FABIO GIULIANO; DE SOUZA, NICOLAU MELO; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. Variability in tactical behavior of futsal teams from different categories. PLoS One, v. 15, n. 3, . (18/19007-9, 16/50250-1, 17/20945-0)
MERLIN, MURILO; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA; TORRES, RICARDO DA SILVA; GONCALVES, BRUNO; SAMPAIO, JAIME. Exploring the determinants of success in different clusters of ball possession sequences in soccer. RESEARCH IN SPORTS MEDICINE, v. 28, n. 3, p. 12-pg., . (16/50250-1, 17/20945-0, 18/19007-9)
MERLIN, MURILO; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA; TORRES, RICARDO DA SILVA; GONCALVES, BRUNO; SAMPAIO, JAIME. Exploring the determinants of success in different clusters of ball possession sequences in soccer. RESEARCH IN SPORTS MEDICINE, . (18/19007-9, 16/50250-1, 17/20945-0)
CAETANO, FABIO GIULIANO; DE SOUZA, NICOLAU MELO; BUENO, MURILO JOSE DE OLIVEIRA; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. Interpersonal interaction during official soccer matches considering the coupling of different playing positions. INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, v. 20, n. 4, . (18/19007-9, 16/50250-1, 17/20945-0)
UCHOA MAIA RODRIGUES, DANIELE C.; MOURA, FELIPE A.; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA S.. Graph visual rhythms in temporal network analyses. GRAPHICAL MODELS, v. 103, . (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 18/19007-9, 17/20945-0, 13/50155-0, 15/24494-8)
CAETANO, FABIO GIULIANO; BARBON JUNIOR, SYLVIO; TORRES, RICARDO DA SILVA; CUNHA, SERGIO AUGUSTO; RUFFINO, PAULO REGIS CARON; MARTINS, LUIZ EDUARDO BARRETO; MOURA, FELIPE ARRUDA. Football player dominant region determined by a novel model based on instantaneous kinematics variables. SCIENTIFIC REPORTS, v. 11, n. 1, . (16/50250-1, 17/20945-0, 18/19007-9)
BARBON JUNIOR, SYLVIO; PINTO, ALLAN; BARROSO, JOAO VITOR; CAETANO, FABIO GIULIANO; MOURA, FELIPE ARRUDA; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA SILVA. port action mining: Dribbling recognition in socce. MULTIMEDIA TOOLS AND APPLICATIONS, v. 81, n. 3, . (18/19007-9, 19/17729-0, 19/16253-1, 16/50250-1, 17/20945-0, 19/22262-3)
CAETANO, FABIO GIULIANO; DE SOUZA, NICOLAU MELO; BUENO, MURILO JOSE DE OLIVEIRA; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. Interpersonal interaction during official soccer matches considering the coupling of different playing positions. INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, v. 20, n. 4, p. 13-pg., . (16/50250-1, 17/20945-0, 18/19007-9)

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