scholarly journals Análisis de la Posesión de Balón en el Fútbol Juvenil en Relación a Variables de Situación: Estudio de Caso

2020 ◽  
Vol 20 (2) ◽  
pp. 128-138
Author(s):  
Ibai Errekagorri Elezkano ◽  
Ibon Echeazarra Escudero ◽  
Julen Castellano Paulis
Keyword(s):  
Performance Indicators ◽  
Performance Indicator ◽  
Intervention Strategies ◽  
Game Model ◽  
Youth Soccer ◽  
Situational Variables ◽  
Competitive Season ◽  
High Zone ◽  
Soccer Team

El objetivo del presente estudio fue estudiar cómo afectaron en la posesión del balón de un equipo de fútbol perteneciente a la categoría División de Honor Juvenil de España durante una temporada competitiva las siguientes variables de situación: entrenador (entrenador 1, entrenador 2 y entrenador 3), nivel del oponente (alto, medio y bajo), ubicación del partido (local y visitante) y resultado final (ganar, empatar y perder). Se analizaron los 30 partidos disputados por el equipo de referencia. Para valorar el rendimiento del equipo se emplearon diferentes indicadores de rendimiento de posesión. Primero se realizó la prueba de Kruskal-Wallis para todas las variables y condiciones. Posteriormente solo en las variables estadísticamente significativas (p<0,05) se aplicó la prueba de U de Mann-Whitney comparando las diferencias dos a dos. Los resultados mostraron en la variable nivel del oponente, que el equipo estuvo asociado con un descenso de la duración total del tiempo de posesión cuando se enfrentó con rivales de la zona alta de la clasificación a diferencia de cuando lo hizo con rivales de la zona media y baja. La principal conclusión del trabajo fue que la posesión de balón jugó un papel determinante en el rendimiento del equipo, si bien el nivel del oponente condicionó este indicador. Los entrenadores de fútbol formativo podrían incluir la posesión del balón como indicador de rendimiento, si se identifica con el modelo de juego, a partir de los cuales evaluar al equipo para proponer estrategias de intervención y optimizar su rendimiento. The aim of the present study was to study how the following situational variables affected the ball possession of a youth soccer team from Spain during a competitive season: coach (coach 1, coach 2 and coach 3), quality of opposition (high, medium and low), venue (home and away) and final outcome (win, draw and lose). The 30 league matches played by the reference team were analysed. Different possession performance indicators were used. First, the Kruskal-Wallis test was performed for all variables and conditions. Subsequently, only the Mann-Whitney U test was applied in the statistically significant variables (p <0.05) comparing the differences two by two. The results showed in quality of opposition, that the team was associated with a decrease in the total length of time of possession when faced with opponents from the high zone of the classification unlike when made with opponents from the medium and low zone. The main conclusion from the work was that the possession of the ball played a determining role in the performance of the team, although the quality of opposition conditioned this indicator. Soccer trainers of academies could include ball possession as a performance indicator, if it is identified with the game model, from which to evaluate the team to propose intervention strategies and optimize their performance. O objetivo do presente estudo foi estudar como as seguintes variáveis de situação afetaram a posse de um time de futebol juvenil na Espanha durante uma temporada competitiva: treinador (treinador 1, treinador 2 e treinador 3), nível do oponente (alto, médio e baixo), localização do jogo (casa e fora) e resultado final (vitória, empate e derrota). Os 30 jogos disputados pela time de referência foram analisadas. Para avaliar o desempenho da time, foram utilizados diferentes indicadores de desempenho. Primeiro, o teste de Kruskal-Wallis foi realizado para todas as variáveis e condições. Posteriormente, apenas o teste U de Mann-Whitney foi aplicado nas variáveis estatisticamente significantes (p <0,05) comparando as diferenças de dois a dois. Os resultados mostraram na variável nível do oponente, que a time esteve associada a uma diminuição no tempo total de posse quando confrontado com rivais da zona alta da classificação, diferentemente de quando feito com rivais na zona média e baixa. A principal conclusão do trabalho foi que a posse da bola desempenhou um papel determinante no desempenho da time, embora o nível do adversário condicionasse este indicador. Treinadores de futebol formativo poderiam incluir a posse da bola como um indicador de desempenho, se for identificado com o modelo de jogo, a partir do qual avaliar a equipe para propor estratégias de intervenção e otimizar seu desempenho.

scholarly journals How to be Successful in Football: A Systematic Review

2018 ◽  
Vol 11 (1) ◽  
pp. 3-23 ◽  
Author(s):  
Hannes Lepschy ◽  
Hagen Wäsche ◽  
Alexander Woll
Keyword(s):  
Performance Indicators ◽  
Success Factors ◽  
Small Sample ◽  
The Body ◽  
Future Research ◽  
Sample Sizes ◽  
Situational Variables ◽  
Critical Success ◽  
Small Sample Sizes

Background:Despite the popularity of football, the analysis of success factors in football remains a challenge. While reviews on performance indicators in football are available, none focuses solely on the identification of success factors and addresses the large and growing body of recent research up until 2016.Objective:To find out what determines success in football and to organize the body of literature, a systematic literature review analyzing existing studies with regard to success factors in football was undertaken.Methods:The studies included in this review had to deal with performance indicators related to success in football. The studies were published in 2016 or before. The initial search revealed 19,161 articles. Finally, sixty-eight articles were included in this review. The studies were clustered with regard to comparative analyses, predictive analyses and analyses of home advantage.Results:In total, 76 different variables were investigated in the reviewed papers. It appeared that the most significant variables are efficiency (number of goals divided by the number of shots), shots on goal, ball possession, pass accuracy/successful passes as well as the quality of opponent and match location. Moreover, new statistical methods were used to reveal interactions among these variables such as discriminant analysis, factor analysis and regression analysis. The studies showed methodological deficits such as clear operational definitions of investigated variables and small sample sizes.Conclusion:The review allows a comprehensive identification of critical success factors in football and sheds light on utilized methodological approaches. Future research should consider precise operational definitions of the investigated variables, adequate sample sizes and the involvement of situational variables as well as their interaction.

scholarly journals Influence of situational variables on the U’18 soccer performance analysis (Análisis de la influencia de las variables situacionales en el rendimiento en futbol U’18)

Retos ◽  
2017 ◽  
pp. 224-227 ◽  
Author(s):  
Pablo Caballero ◽  
Javier Garcia Rubio ◽  
Sergio José Ibáñez
Keyword(s):  
Performance Analysis ◽  
High Performance ◽  
Team Sports ◽  
Youth Soccer ◽  
Situational Variables ◽  
Final Score ◽  
Performance Teams ◽  
Linear Regressions ◽  
Match Location

Team sports performance analysis usually uses samples of high performance teams and athletes. Those studies, although useful to trainers and players, are hardly applicable on different contexts. The goal of this study was to analyze the effects of the situational variables on the final score and competition in youth soccer. To achieve this, all games from a Spanish regional youth soccer league (n=132) were analyzed. Linear regressions were used to check the influence of situational variables (score difference; final league standings; match location; scoring first; cards; substitutions; quality of opponent and field surface) on the outcome of the game, final team standings and game location. Results show the importance that the match location, scoring first, rival team quality, substitutions and cards have on the match’s outcome, meanwhile the linear regression highlights the effect of scoring first, rival team quality, and substitutions on the final team standings.Resumen. El análisis del rendimiento deportivo en deportes de equipo usa habitualmente muestras equipos y deportistas de alto rendimiento deportivo. Estos estudios, aunque de una gran utilidad para entrenadores y jugadores, son difícilmente aplicables a otros contextos. El objetivo de este estudio fue analizar los efectos de las variables situacionales en el resultado final del partido y la competición en fútbol juvenil. Para ello, se analizaron todos los partidos de una liga de categoría juvenil regional española (n= 132). Se utilizó la regresión lineal para comprobar la influencia de las variables situacionales (diferencia de goles en el partido; clasificación final del equipo; localización del partido; marcar primero; amonestaciones; sustituciones; la calidad del oponente y la superficie de juego) en el resultado, la clasificación final y la localización del partido. Los resultados ponen de manifiesto la importancia que en el resultado final del partido tiene la localización del partido, anotar primero, la calidad del oponente, las sustituciones y las amonestaciones, mientras que, en la clasificación final, la regresión lineal destaca el efecto de anotar el primer gol, la calidad de la oposición y las sustituciones.

scholarly journals Bridge Quality Appraisal Methodology: Application in The Strimonas Bridge. Case Study

2018 ◽  
Vol 13 (3) ◽  
Author(s):  
Dimosthenis Kifokeris ◽  
Yiannis Xenidis ◽  
Panagiotis Panetsos ◽  
José António Campos E Matos ◽  
Luķs Braganēa
Keyword(s):  
Performance Indicators ◽  
Performance Indicator ◽  
Quality Appraisal ◽  
Sustainable Building ◽  
Research Findings ◽  
Expert Input ◽  
Current Utilization ◽  
Hierarchy Process

In the current utilization of Performance Indicators for bridge  Quality Control, there is no correlation between observed and benchmarked  Performance Indicator values, and an ambiguity of deliverables due to the diverse nature of Performance Indicators. For the alleviation of those above,  this paper presents a methodology that appraises the quality of bridges. This methodology builds on the adaptation of the Sustainable Building Method and its combination with expert input solicitation methods and the research findings of COST Action TU1406. In addition, it features an adaptation of the Analytical  Hierarchy Process. The methodology is presented regarding its general procedural steps and calculating requirements, and then it is tailored to the case study of Strimonas Bridge in Greece.

scholarly journals Prediction of Match Outcomes with Multivariate Statistical Methods for the Group Stage in the UEFA Champions League

2021 ◽  
Vol 79 (1) ◽  
pp. 197-209
Author(s):  
Coşkun Parim ◽  
Mehmet Şamil Güneş ◽  
Ali Hakan Büyüklü ◽  
Doğan Yıldız
Keyword(s):  
Decision Tree ◽  
Performance Indicators ◽  
Decision Tree Analysis ◽  
Multivariate Statistical ◽  
Tree Analysis ◽  
Situational Variables ◽  
Honestly Significant Difference ◽  
Significant Difference ◽  
And Performance

Abstract The aim of this study was to analyse the win, draw, and loss outcomes of soccer matches with situational variables and performance indicators. Data from group stage matches spanning the ten years between the 2010/2011 and 2019/2020 seasons in the European Champions League, were used. One-way analysis of variance (ANOVA) and Tukey HSD (honestly significant difference) tests indicated performance indicators which affected the outcome of matches. K-mean clustering, with statistically significant variables, categorized the quality of the opposition into three clusters: weak, balanced, and strong. Multidimensional scaling (MDS) and decision tree analysis were applied to each of these clusters, highlighting that performance indicators of the teams differed according to the quality of their opponent. Furthermore, according to the decision tree analysis, certain performance indicators, including scoring first and shots on target, increased the chances of winning regardless of the quality of the opposition. Finally, particular performance indicators increased the chance of winning, while others decreased this, in accordance with the quality of the opposition. These findings can help coaches develop different strategies, before or during the match, based on the quality of opponents, situational variables, and performance indicators.

scholarly journals Exploring the actionability of healthcare performance indicators for quality of care: a qualitative analysis of the literature, expert opinion and user experience

2021 ◽  
pp. bmjqs-2020-011247
Author(s):  
Erica Barbazza ◽  
Niek S Klazinga ◽  
Dionne S Kringos
Keyword(s):  
Decision Making ◽  
Quality Of Care ◽  
User Experience ◽  
Expert Opinion ◽  
Performance Indicators ◽  
Information Needs ◽  
Performance Indicator ◽  
Healthcare Systems ◽  
Fitness For Purpose

BackgroundThis study explores the meaning of actionable healthcare performance indicators for quality of care-related decisions. To do so, we analyse the constructs of fitness for purpose and fitness for use across healthcare systems and in practice based on the literature, expert opinion and user experience.MethodsA multiphase qualitative study was undertaken. Phases included a literature review, a first round of one-on-one interviews with a panel of academics and thought leaders in the field (n=16), and a second round of interviews with real-world users of performance indicators (n=16). Thematic analysis was conducted between phases in order to triangulate findings in a stepwise process.ResultsCommon uses of healthcare performance indicators were differentiated within micro-meso-macro contexts of healthcare systems. Each purpose of use signals different decision-making tasks, and in effect information needs. An indicator’s fitness for use can be appraised by three clusters of considerations: methodological, contextual and managerial. Methodological considerations gauge an indicator’s perceived importance, engagement potential, interpretability, standardisation, feasibility of remedial actions, alignment to care models and sensitivity to change. Information infrastructure, system governance, workforce capacity and learning culture were found as enabling contextual considerations. Managerial considerations influencing an indicator’s use in practice were found to span the selection of indicators, data collection, analysis, display of results and delivery of information to decision-makers.ConclusionThe actionability of a healthcare performance indicator should be appraised by its alignment with the intended purpose of use beyond aggregate healthcare system levels, in combination with the extent to which methodological, contextual and managerial fitness for use considerations are met. Striking a better balance between the importance weighted to an indicator’s statistical merits and emphasis put to its fitness for purpose and use is needed for indicators that are ultimately actionable for quality of care-related decision-making.

Methodological aspects of assessment and forecast of technical condion of the main installed equipment of power plants

2018 ◽  
Vol 11 (2) ◽  
pp. 134-142
Author(s):  
A. A. Rimov
Keyword(s):  
Initial Data ◽  
Performance Indicators ◽  
Power Plants ◽  
Performance Indicator ◽  
Technical Condition ◽  
Power Equipment ◽  
Quality Loss ◽  
Individual Property ◽  
Economic Point

The methodology is presented for assessment of the technical condition of an object, which is a separate unit of power equipment from a group of the same type of equipment of power plants. It is demonstrated that technical condition is a characteristic of quality of an object under investigation, which, for practical purposes, should be calculated as a deviation from an established value. The assessment of technical condition is fulfilled with uniform criteria based on a limited amount of initial data on each of the basic properties of the object. The assessment can be fulfilled at the level of the object performance indicator, at the level of the object individual property and at the level of a set of the object properties. The top level assessment is a function of the loss of quality by the object, which is calculated through convolution of low level values. The assessment of technical condition of an object is accompanied by calculation of uncertainty of quality loss functions by means of transformation of uncertainties of initial data into uncertainties of output values. The evaluation of the technical condition can be expressed either in relative units - the percentage of quality loss relative to the maximum possible quality of the object, or in absolute units - the monetary equivalent of a loss of quality by the object. Evaluation in relative units enables to determine the residual gamma resource of the object, but this requires the participation of an expert to assign the weight of performance indicators. Evaluation in absolute units makes it possible to identify objects whose improvement in technical condition is appropriate from the economic point of view. To track the reasons for deviations in the technical condition from the set values, a structured list of performance indicators and factors affecting them is used. It is shown that the possibilities of evaluating the technical condition in relative units are limited: an attempt to perform assessment and analysis of the technical condition by convolving values of indicators and characteristics of properties into a single numerical index gives incorrect results. Neglect of these restrictions leads to emergence of inadequate, unsubstantiated scientifically methodological requirements for assessment of the technical condition of power equipment.

Computable metrics of personal performance in software development teams

2019 ◽  
Author(s):  
Andriy Lishchytovych ◽  
Volodymyr Pavlenko
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Product Quality ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Project Manager ◽  
Development Life Cycle ◽  
Software Product ◽  
Software Development Life Cycle

The present article describes setup, configuration and usage of the key performance indicators (KPIs) of members of project teams involved into the software development life cycle. Key performance indicators are described for the full software development life cycle and imply the deep integration with both task tracking systems and project code management systems, as well as a software product quality testing system. To illustrate, we used the extremely popular products - Atlassian Jira (tracking development tasks and bugs tracking system) and git (code management system). The calculation of key performance indicators is given for a team of three developers, two testing engineers responsible for product quality, one designer, one system administrator, one product manager (responsible for setting business requirements) and one project manager. For the key members of the team, it is suggested to use one integral key performance indicator per the role / team member, which reflects the quality of the fulfillment of the corresponding role of the tasks. The model of performance indicators is inverse positive - the initial value of each of the indicators is zero and increases in the case of certain deviations from the standard performance of official duties inherent in a particular role. The calculation of the proposed key performance indicators can be fully automated (in particular, using Atlassian Jira and Atlassian Bitbucket (git) or any other systems, like Redmine, GitLab or TestLink), which eliminates the human factor and, after the automation, does not require any additional effort to calculate. Using such a tool as the key performance indicators allows project managers to completely eliminate bias, reduce the emotional component and provide objective data for the project manager. The described key performance indicators can be used to reduce the time required to resolve conflicts in the team, increase productivity and improve the quality of the software product.

Integrating Performance Indicator Into the Audit Process Safety Management System

2005 ◽  
Vol 5 (2) ◽  
pp. 161
Author(s):  
C. R. Che Hassan ◽  
M. J. Pitt ◽  
A. J. Wilday
Keyword(s):  
Performance Indicators ◽  
Management System ◽  
Feedback Loop ◽  
Safety Management ◽  
Performance Indicator ◽  
Process Safety ◽  
Audit Process ◽  
Safety Management System ◽  
Audit System ◽  
Similar Elements

The development of the audit method has included the identification of possible performance indicators at each level of the sociotechnical pyramid for a range of areas of work in which accidents have been shown to occur most frequently. The measurementof performance indicators is part of a feedback loop which causes safety improvements. Integration of performance indicators into the audit system has been tested at three operating chemical industries in Terengganu and Selangor in Malaysia. A summary of the weaknesses of the similar elements identified in the three audited plants is presented. Analysis on the approach used enables the identification of deficiencies in safety management aspects. Keywords: Accidents, audit, deficiencies, performance indicators, safety management, and sociotechnical pyramid.

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