Network structure and centralization tendencies in professional football teams from Spanish La Liga and English Premier Leagues

Clemente, Filipe Manuel; José, Fábio Freire; Oliveira, Nuno; Martins, Fernando Manuel Lourenço; Mendes, Rui; Figueiredo, António J.; Wong, Del P.; Kalamaras, Dimitris

doi:10.14198/jhse.2016.113.06

Cited by 12 publications

(9 citation statements)

References 6 publications

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“…From a broader perspective, midfielders constitute the offensive phase with high values of density, degrees of centrality and total commitment, using short passes and covering all sectors of the field [ 28 ]. Network analysis provides significant elements for determining the key contributions of each player, identifying creative players and determining collective performance in order to organize team strategies [ 25 , 34 ].…”

Section: Discussionmentioning

confidence: 99%

Passing Networks and Tactical Action in Football: A Systematic Review

Parada

Lago‐Peñas

Ortega-Toro

2020

IJERPH

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The aim of this study is to examine the most significant literature on network analyses and factors associated with tactical action in football. A systematic review was conducted on Web of Science, taking into account the PRISMA guidelines using the keyword “network”, associated with “football” or “soccer”. The search yielded 162 articles, 24 of which met the inclusion criteria. Significant results: (a) 50% of the studies ratify the importance of network structures, quantifying and comparing properties to determine the applicability of the results instead of analyzing them separately; (b) 12.5% analyze the process of offensive sequences and communication between teammates by means of goals scored; (c) the studies mainly identify a balance in the processes of passing networks; (d) the variables allowed for the interpretation of analyses of grouping metrics, centralization, density and heterogeneity in connections between players of the same team. Finally, a systematic analysis provides a functional understanding of knowledge that will help improve the performance of players and choose the most appropriate response within the circumstances of the game.

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Section: Discussionmentioning

confidence: 99%

Passing Networks and Tactical Action in Football: A Systematic Review

Parada

Lago‐Peñas

Ortega-Toro

2020

IJERPH

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“…For centre-backs, these players are located in the back area of the playing field, associated with high risk and defensive nature, perceived to be the lowest attacking influence. 17,55 These players did not obtain high successful dribbles (1 3 1) or positive crosses running with the ball actions compared to other positional status. Diego Godı´n, Stefan Savic´and Lucas Herna´ndez showed few ball losses per time played, which corroborates the hypothesis that the team played safely in the back zones.…”

Section: Discussionmentioning

confidence: 84%

“…Although he has been able to fulfil the requirements of his position, which is to finish attacking plays effectively 54 (score goals and shots), Fernando Torres was not effective in the team's attacking organizational process, evidenced by low values of influence range: closeness centrality, betweenness centrality, passes performed and passes received. In this line, Clemente et al 55 noted that the strikers tended to participate less in the team possession game.…”

Section: Discussionmentioning

confidence: 99%

The Golden Index: A classification system for player performance in football attacking plays

Pereira

Ribeiro

Grilo

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part P:

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In this study, a formula called the Golden Index was developed that calculates a value for each player according to their individual and collective performances. This method identifies the most important players, designated as Golden Players, in football attacking plays. This study was organized in two main phases: (1) selection, definition and validation, including weighting assignment, of a set of variables associated with players’ performance through application of statistical techniques to uniformize variables values that compose the Golden Index formula and (2) applicability of the Golden Index formula to quantify players’ performance of Club Atlético de Madrid over 2016-2017 season. A questionnaire was given to football experts in order to validate and determine the weight of each of the 12 variables selected. Descriptive statistics with standardization techniques were used to set the weights and uniformize each variable of the Golden Index formula. Applying the Golden Index formula to Club Atlético de Madrid 2016-2017 season named Koke, Yannick Carrasco and Filipe Luís as the Golden Players, while the centre-backs Lucas Hernández, Stefan Savić and Diego Godín and striker Fernando Torres received negative indexes. Results suggested that the Golden Index formula is a valuable and useful tool in capturing the individual and collective performance of players in attacking play in football.

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“…This is due to the fact that this player played in a position that allowed him to manage the organization of the team's match, on the other hand, player number 7 (forward) was the player who received the most interactions throughout the matches in a total of 65 interactions, being the reference of the team (Alves et al, 2016). These values make sense because it is usually the midfielders who seek to organize the team match and the forwards seek to receive the ball in the more advanced sectors of the field in order to finish the team's passing sequences (Peña and Touchette, 2012;Clemente et al, 2016b).…”

Section: Resultsmentioning

confidence: 99%

Analysis of the interaction and offensive network of the Portuguese national team at the 2016 European Football Championship

Alves¹,

Sousa²,

Vaz³

et al. 2022

Retos

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The aim of this study was to analyse the offensive actions preceding shots, using a combination of pass sequences and network analysis of the Portuguese national football team in the European Championships. The sample consisted in the observation and analysis of 118 collective offensive actions that ended in a shot based on seven European Championships matches (e.g., 3 x group stage matches, 1 x round of 16, 1 x quarter-finals, 1 x semi-finals and 1 x final). The results indicated that 488 intra-team interactions were performed, and the highest level of interactions occurred between player number 10 (midfielder) and player number 7 (forward), with a total of 11 interactions. More passes were made during the group phase (97.3 ± 50.1 passes), compared with the knockout phase (49 ± 23.6 passes), assuming that the team adapted to their rivals during the last phase of the competition. The InStat© platform was used to access the matches in a video file format and consequently coded through the VideObserver® and Upato® software’s. This study demonstrates important trends in relation to passing sequences and adds key insights into interactional context within and between players during a European Championships. On a practical level with this type of analysis, coaches can characterise the standard actions of a team, as well as identify key players. This may allow coaches to realize what players contribute in the dynamics of their team as well as the opponent. Keywords: Network, Football, Match Analysis, VideObserver®, UPato®.

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Network structure and centralization tendencies in professional football teams from Spanish La Liga and English Premier Leagues

Cited by 12 publications

References 6 publications

Passing Networks and Tactical Action in Football: A Systematic Review

Passing Networks and Tactical Action in Football: A Systematic Review

The Golden Index: A classification system for player performance in football attacking plays

Analysis of the interaction and offensive network of the Portuguese national team at the 2016 European Football Championship

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