Detalhe da pesquisa
1.
Exploring the determinants of success in different clusters of ball possession sequences in soccer.
Res Sports Med
; 28(3): 339-350, 2020.
Artigo
Inglês
| MEDLINE | ID: mdl-31973582
2.
Dribbling speed along curved paths predicts attacking performance in match-realistic one vs. one soccer games.
J Sports Sci
; 37(9): 1072-1079, 2019 May.
Artigo
Inglês
| MEDLINE | ID: mdl-30470166
3.
Tethered Swimming for the Evaluation and Prescription of Resistance Training in Young Swimmers.
Int J Sports Med
; 38(2): 125-133, 2017 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-28173605
4.
Coordination analysis of players' distribution in football using cross-correlation and vector coding techniques.
J Sports Sci
; 34(24): 2224-2232, 2016 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-27079483
5.
Erratum for the article by Caetano et al. JAB 31(6).
J Appl Biomech
; 32(1): 106, 2016 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-26785505
6.
Dominant-non-dominant asymmetry of kicking a stationary and rolling ball in a futsal context.
J Sports Sci
; 33(13): 1411-9, 2015.
Artigo
Inglês
| MEDLINE | ID: mdl-25554927
7.
Characterization of the Sprint and Repeated-Sprint Sequences Performed by Professional Futsal Players, According to Playing Position, During Official Matches.
J Appl Biomech
; 31(6): 423-9, 2015 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-26155741
8.
Analysis of football game-related statistics using multivariate techniques.
J Sports Sci
; 32(20): 1881-1887, 2014 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-24742152
9.
Analysis of the distance covered by Brazilian professional futsal players during official matches.
Sports Biomech
; 13(3): 230-40, 2014 Sep.
Artigo
Inglês
| MEDLINE | ID: mdl-25224298
10.
Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the best passing players.
PLoS One
; 19(5): e0304139, 2024.
Artigo
Inglês
| MEDLINE | ID: mdl-38814958
11.
Acute responses of biomechanical parameters to different sizes of hand paddles in front-crawl stroke.
J Sports Sci
; 31(9): 1015-23, 2013.
Artigo
Inglês
| MEDLINE | ID: mdl-23360179
12.
A spectral analysis of team dynamics and tactics in Brazilian football.
J Sports Sci
; 31(14): 1568-77, 2013.
Artigo
Inglês
| MEDLINE | ID: mdl-23631771
13.
Interpersonal coordination of opposing player dyads during attacks performed in official football matches.
Sports Biomech
; : 1-16, 2023 May 21.
Artigo
Inglês
| MEDLINE | ID: mdl-37211810
14.
Quantitative analysis of Brazilian football players' organisation on the pitch.
Sports Biomech
; 11(1): 85-96, 2012 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-22518947
15.
Classification and determinants of passing difficulty in soccer: a multivariate approach.
Sci Med Footb
; 6(4): 483-493, 2022 11.
Artigo
Inglês
| MEDLINE | ID: mdl-36412184
16.
Penalty feet positioning rule modification and laterality effect on soccer goalkeepers' diving kinematics.
Sci Rep
; 12(1): 18493, 2022 11 02.
Artigo
Inglês
| MEDLINE | ID: mdl-36323704
17.
Multiscale fractal dimension applied to tactical analysis in football: A novel approach to evaluate the shapes of team organization on the pitch.
PLoS One
; 16(9): e0256771, 2021.
Artigo
Inglês
| MEDLINE | ID: mdl-34469462
18.
Football player dominant region determined by a novel model based on instantaneous kinematics variables.
Sci Rep
; 11(1): 18209, 2021 09 14.
Artigo
Inglês
| MEDLINE | ID: mdl-34521897
19.
Variability in tactical behavior of futsal teams from different categories.
PLoS One
; 15(3): e0230513, 2020.
Artigo
Inglês
| MEDLINE | ID: mdl-32182266
20.
Analysis of Match Dynamics of Different Soccer Competition Levels Based on the Player Dyads.
J Hum Kinet
; 70: 173-182, 2019 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-31915487