Team performance according to ball possession characteristics : a social networks approach

Over the last few years, football entered in a period of accelerated access to large amount of match analysis data. Social networks have been adopted to reveal the structure and organization of the web of interactions, such as the players passing distribution tendencies. In this study we investigated the influence of ball possession characteristics in the competitive success of Spanish La Liga teams. The sample was composed by OPTA passing distribution raw data (n=269,055 passes) obtained from 380 matches involving all the 20 teams of the 2012/2013 season. Then, we generated 760 adjacency matrixes and their corresponding social networks using Node XL software. For each network we calculated three team performance measures to evaluate ball possession tendencies: graph density, average clustering and passing intensity. Three levels of competitive success were determined using two-step cluster analysis based on two input variables: the total points scored by each team and the scored per conceded goals ratio. Our analyses revealed significant differences between competitive performances on all the three team performance measures (p < .001). Bottom-ranked teams had less number of connected players (graph density) and triangulations (average clustering) than intermediate and top-ranked teams. However, all the three clusters diverged in terms of passing intensity, with top-ranked teams having higher number of passes per possession time, than intermediate and bottom-ranked teams. Finally, similarities and dissimilarities in team signatures of play between the 20 teams were displayed using Cohen’s effect size. In sum, findings suggest the competitive performance was influenced by the density and connectivity of the teams, mainly due to the way teams use their possession time to give intensity to their game.

A análise de performance e o seu impacto no desempenho de uma equipa de futebol profissional

Atualmente, a preparação e desenvolvimento de uma equipa de futebol deve considerar não só aspetos relacionados com a metodologia do treino, como também da análise de performance, quer da própria equipa quer de equipas adversárias. O estágio desenvolveu-se integrado nas equipas técnicas que orientaram o plantel profissional do Estoril Praia SAD, durante a época 2014/2015. Na área 1, foi exposto o objetivo principal do trabalho apresentado neste relatório, que se prendeu com a necessidade de compreender de que forma é importante a análise da própria equipa e da equipa adversária, e ainda como essas análises são enquadradas e utilizadas no treino e na competição. Após a recolha de informação na literatura, relativa à análise de performance, e relacionada essa informação com a prática do dia-a-dia e ainda com as opiniões recolhidas através de entrevistas realizadas a dois elementos de uma das equipas técnicas, foi possível perceber a importância da análise na preparação e operacionalização das ideias de jogo da equipa técnica, não só durante os momentos competitivos, como em situações de treino. Na área 2 (Projeto de investigação/inovação) foi realizado um estudo que teve como finalidade perceber o impacto que tem a alteração de um treinador no decorrer da época desportiva, tentando relacionar essas decisões com diferentes contextos, percebendo se a alteração tem uma influência positiva ou negativa no rendimento das equipas contempladas no estudo. Posteriormente à sua realização, o estudo foi apresentado nas Jornadas Portuguesas de Psicologia do Desporto. Relativamente à área 3 (Relação com a comunidade), foi realizado um torneio que teve como principal foco, alertar os pais dos atletas para os valores positivos que podem ser promovidos e desenvolvidos através do desporto.

The export performance of the 2004 EU enlargement economies since the 1990s : a constant market share analysis

This study focuses the export performance of the 2004 EU enlargement economies between 1990 and 2013. The long time span analysed allows to capture different stages in the relationship of these new members with the EU before and after accession. The study is based on the Constant Market Share methodology of decomposing an ex-post country’s export performance into different effects. Two different Constant Market Share Analysis (CMSA) were selected in order to disentangle, for the exports of the new members to the EU15, (i) the growth rate of exports and (ii) the growth rate of exports relatively to the world. Both approaches are applied to manufactured products first without disaggregating results by sectors and then grouping all products into two different classification of sectors: one considering the technological intensity of manufactured exports and another evaluating the specialization factors of the products exported. Results provide information not only on the ten economies’ export performance as a group but also individually considered and on the importance of each EU15 destination market to the export performance of these countries.

Performance analysis of brazilian public and philanthropic hospitals

This paper presents the results of a research that aimed at identifying optimal performance standards of Brazilian public and philanthropic hospitals. In order to carry out the analysis, a model based on Data Envelopment Analysis (DEA) was developed. We collected financial data from hospitals’ financial statements available on the internet, as well as operational data from the Information Technology Department of the Brazilian Public Health Care System – SUS (DATASUS). Data from 18 hospitals from 2007 to 2011 were analyzed. Our DEA model used both operational and financial indicators (variables). In order to develop this model, two indicators were considered inputs: Values (in Brazilian Reais) of Fixed Assets and Planned Capacity. On the other hand, the following indicators were considered outputs: Net Margin, Return on Assets and Institutional Mortality Rate. As regards the proposed model, there were five hospitals with optimal performance and four hospitals were considered inefficient, upon the analysis of the variables, considering the analyzed period. Analysis of the weights indicated the most relevant variables for determining efficiency and scale variable values, which is an important tool to aid the decision-making by hospital managers. Finally, the scale variables determined the returns on production, indicating that 14 hospitals work with scale diseconomies. This may indicate inefficiency in the resource management of the Brazilian public health-care system, by analyzing this set of proposed variables.