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The secret of playing football: Brazil versus the Netherlands

Grant number: 16/50250-1
Support type:Research Projects - Thematic Grants
Duration: August 01, 2017 - July 31, 2021
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Cooperation agreement: NWO
Principal Investigator:Ricardo da Silva Torres
Grantee:Ricardo da Silva Torres
Principal investigator abroad: Koen Lemmink
Institution abroad: University of Groningen, Netherlands
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Co-Principal Investigators:Claudio Alexandre Gobatto ; Fúlvia de Barros Manchado Gobatto
Associated grant(s):18/15178-3 - Human-computer collaboration for the generation of soccer strategies using multi-agent simulations, AP.R
17/20945-0 - Multi-user equipment approved in great 16/50250-1: local positioning system, AP.EMU
Associated scholarship(s):19/10666-2 - Can pre-activation of inspiratory muscles potentiates the force, velocity and power of soccer players? analysis using mechanical and physiological signals by computational model, BP.DD
19/02286-5 - Metabolomic and proteomic analysis in soccer players: relationships with aerobic and anaerobic capacities, BP.DD
18/19007-9 - Find dribbling time series in a physical-tactical-technical scenario during official professional matches, BE.PQ
17/24005-2 - Temporal relational reasoning with neural networks, BP.DR

Abstract

The scientific challenge is about unravelling the secret of Brazilian and Dutch soccer by capturing successful elements of game play of both countries by combining expertise from data science, computer science and sport science. Suggested features from the literature, as well as several novel ones, will be considered and filtered on how they capture success in soccer. A manageable set of features will then be obtained from the various available datasets. Subsequently, the same features will be used to compare playing styles between the two countries. Features of game play will be approached from two different angles. The first angle (spearheaded by the Brazilian Computer Science partner) concerns features that capture the dynamics of game play and characterize aspects of formation on the pitch. The second angle (Lead by the Dutch data science partner) will focus on how an attack is built up, and how key events (shots on goal, transitions from defenders to midfielders) can help to characterize this. For the comparison between countries, data will be collected in four different age categories in Brazil and the Netherlands during official games, in order to compare game play between both countries. Data will be collected by means of the Local Position Measurement System (LPM), for reasons of accuracy and consistency. The applied science part of this proposal is focusing on bridging the gap between fundamental science and soccer practice, i.e. coaches, trainers, clubs and federations. The outcomes of the fundamental part will be implemented in a coach-cockpit, a software application which trainers and coaches can use to: 1) decide upon their strategy before a game; 2) analyses player and team behavior during a game enabling to adjust the strategy accordingly; 3) choose and or design training forms to improve player and team behavior. (AU)

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)
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, MAY 2019. Web of Science Citations: 0.
OLIVEIRA, ALBERTO; OAKLEY, ERIC; TORRES, RICARDO DA SILVA; ROCHA, ANDERSON. Relevance prediction in similarity-search systems using extreme value theory. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 60, p. 236-249, APR 2019. Web of Science Citations: 0.
PALUCCI VIEIRA, LUIZ HENRIQUE; CARLING, CHRISTOPHER; BARBIERI, FABIO AUGUSTO; AQUINO, RODRIGO; PEREIRA SANTIAGO, PAULO ROBERTO. Match Running Performance in Young Soccer Players: A Systematic Review. SPORTS MEDICINE, v. 49, n. 2, p. 289-318, FEB 2019. Web of Science Citations: 1.
WILSON, ROBBIE S.; SMITH, NICHOLAS M. A.; PEREIRA SANTIAGO, PAULO ROBERTO; CAMATA, THIAGO; RAMOS, SOLANGE DE PAULA; CAETANO, FABIO GIULIANO; CUNHA, SERGIO AUGUSTO; SANDES DE SOUZA, ANA PAULA; MOURA, FELIPE ARRUDA. Predicting the defensive performance of individual players in one vs. one soccer games. PLoS One, v. 13, n. 12 DEC 31 2018. Web of Science Citations: 0.
BELLI, TAISA; MACEDO, DENISE VAZ; DE ARAUJO, GUSTAVO GOMES; MASSELLI DOS REIS, IVAN GUSTAVO; MENEZES SCARIOT, PEDRO PAULO; LAZARIM, FERNANDA LORENZI; SOARES NUNES, LAZARO ALESSANDRO; BRENZIKOFER, RENE; GOBATTO, CLAUDIO ALEXANDRE. Mountain Ultramarathon Induces Early Increases of Muscle Damage, Inflammation, and Risk for Acute Renal Injury. FRONTIERS IN PHYSIOLOGY, v. 9, OCT 8 2018. Web of Science Citations: 0.
ESMAEL, AGNALDO APARECIDO; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA SILVA. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, n. 19, p. 24565-24592, OCT 2018. Web of Science Citations: 0.
PEREIRA, VANESSA H.; GOBATTO, CLAUDIO A.; LEWIS, THEODORE G.; RIBEIRO, LUIZ F. P.; BECK, WLADIMIR R.; DOS REIS, IVAN G. M.; SOUSA, FILIPE A. B.; MANCHADO-GOBATTO, FULVIA B. Computational and Complex Network Modeling for Analysis of Sprinter Athletes' Performance in Track Field Tests. FRONTIERS IN PHYSIOLOGY, v. 9, JUL 6 2018. Web of Science Citations: 0.
MARIANO, GREICE C.; STAGGEMEIER, VANESSA G.; CERDEIRA MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S. Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis. ECOLOGICAL INFORMATICS, v. 46, p. 19-35, JUL 2018. Web of Science Citations: 2.
DE OLIVEIRA BUENO, MURILO JOSE; CAETANO, FABIO GIULIANO; YONEZAWA, MICHELLE KAORI; GRELLA, ANDRE SANTANA; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. How do futsal players of different categories play during official matches? A tactical approach to players' organization on the court from positional data. PLoS One, v. 13, n. 6 JUN 26 2018. Web of Science Citations: 0.
CORDOVA NEIRA, MANUEL ALBERTO; MENDES JUNIOR, PEDRO RIBEIRO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Data-Fusion Techniques for Open-Set Recognition Problems. IEEE ACCESS, v. 6, p. 21242-U24, 2018. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.
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