Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52637
Title: Offensive performance in soccer through lag sequential analysis: The case of a team in the Spanish Second Division-A
Authors: Diaz Diaz, Romulo
Ramos Verde, Eduardo Jose
Garcia Manso, Juan Manuel
Valverde Esteve, Teresa
Keywords: Observer Agreement
Stability
Software
Patterns
Players, et al
Issue Date: 2018
Publisher: 1988-5202
Journal: Journal of Human Sport and Exercise 
Abstract: We evaluated the attacking play of a Spanish Second Division-A soccer team (10 league matches). The observational method of Lag Sequential Analysis was used, with exhaustive mutually exclusive categories based on set criteria. From a retrospective perspective, mean length values were detected for the patterns of the LW, RMIF and GK players (max-lag = -3); short for LMIF (max-lag= -1), LI and LC (max-lag = -2) and long for FOR (max-lag = -5) and LB, RC and RW (max-lag= -4). The prospective perspective revealed mean lengths for RB, RC and CI (max-lag = 3) and short for GK, RMFI and FOR (max-lag = 2). The long patterns correspond to the SSTR, RW, LW and LB players (max-lag = 4) and MCI (max-lag = 5). The greater relationships between players, in both perspectives, were generated between the full-backs (RB and LB) and the wingers on their side (RW and LW). For the center-backs (RC and LC), the priority relationships are with the other defensive players on their team. The midfielders (RMIF and LMIF) did not show any bifurcations, complementing each other, since when one acts in the retrospective perspective, his partner does so in prospective. It was observed that the chances of winning grow as the number of shots at goal increases, or the chances of losing decrease. We confirm that Lag Sequential Analysis provides detailed, useful information about attacking play in soccer.
URI: http://hdl.handle.net/10553/52637
ISSN: 1988-5202
DOI: 10.14198/jhse.2018.13.Proc2.12
Source: JOURNAL OF HUMAN SPORT AND EXERCISE[ISSN 1988-5202],v. 13, p. S269-S282
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