The Cluster Analysis for Performance Analysis in 2019 International Men Basketball World Cup

2020 ◽  
Vol 59 (3) ◽  
pp. 397-411
Author(s):  
Chao Zhou ◽  
Hyongjun Choi
Keyword(s):  
Cluster Analysis ◽  
Performance Analysis ◽  
World Cup

Selecting the best team from the players in the 2018 FIFA World Cup using performance analysis

2020 ◽  
Vol 42 (1) ◽  
pp. 15-32
Author(s):  
Tugay Karadag ◽  
Coskun Parim ◽  
Erhan Cene
Keyword(s):  
Performance Analysis ◽  
Topsis Method ◽  
World Cup ◽  
Fifa World Cup ◽  
Performance Variables

This study aims to determine the best player in each position from among the footballers who played in the 2018 World Cup in Russia. Player statistics for those who played over 200 minutes were obtained from the FIFA official and transfermarkt.com websites. Selected performance variables were then calculated per 100 minutes and the results were normalised. Kruskal Wallis H and Bonferroni Tests were used to determine the weights of the variables before the analysis. As the variables will have different values according to the players’ positions, the weights for each position were calculated separately. Finally, the performances of the players on the basis of the variables used were ranked for each position using the TOPSIS method. A second analysis was undertaken including only those players whose ages were under 28 and goalkeepers whose ages were under 32. The purpose of this analysis was to identify players with potential that had been largely unrecognised up until the tournament. It was found that both the teams selected in this way were dominated by players from European clubs. Ninety-two percent of the top sixty players in the analysis were playing in European leagues with 85% playing in Spain, England, Italy, Germany, France or Russia.

A review of the interaction between the striker and the goalkeeper at the individual tactical level in football

2020 ◽  
Vol 15 (3) ◽  
pp. 452-464
Author(s):  
Scott William Peterson ◽  
Michaela Rose Bruton
Keyword(s):  
Performance Analysis ◽  
Study Design ◽  
Analytic Model ◽  
Inclusion Criteria ◽  
World Cup ◽  
Full Inclusion ◽  
Analysis Techniques ◽  
Narrow Focus ◽  
Tactical Training ◽  
The Individual

Recent performance analysis techniques have attempted to move beyond a narrow focus on game outcomes by considering the game, team, group and individual tactical levels. Goals are decisive in football, yet the extent to which the individual goalkeeper had been studied was unknown. We therefore systematically searched the literature to determine the extent of studies that included actions related to the goalkeeper; of 711 titles retrieved, six met the full inclusion criteria. Despite sound study design in general, the use of World Cup matches might limit the generalisability of findings. Only 21% of the outcome variables extracted were comparable across studies, with 58 different variables used to describe actions involving the goalkeeper, which suggested significant conceptual disparity. Of greater concern, no studies presented the striker and goalkeeper interaction in relative terms. The development of an analytic model that quantifies this relationship is necessary to adequately characterise tactics and inform the practical requirements of goalkeeping tactical training.

scholarly journals Can performance in biathlon world cup be predicted by performance analysis of biathlon IBU cup?

2019 ◽  
Vol 19 (5) ◽  
pp. 856-865 ◽  
Author(s):  
Natalya Dzhilkibaeva ◽  
Matthias Ahrens ◽  
Marko S. Laaksonen
Keyword(s):  
Performance Analysis ◽  
World Cup

Functional Structure in Sentences: A Performance Analysis

1971 ◽  
Vol 23 (2) ◽  
pp. 214-224 ◽  
Author(s):  
R. A. Kennedy ◽  
A. L. Wilkes
Keyword(s):  
Cluster Analysis ◽  
Performance Analysis ◽  
Hierarchical Structure ◽  
Deep Structure ◽  
Hierarchical Organization ◽  
Surface Structures ◽  
Input Matrix ◽  
Tree Structures ◽  
The Hierarchical Structure ◽  
Identical Performance

Two experiments are reported which attempt to define the groupings of component words within sentences which subjects have committed to memory. The structural groupings are indexed by judgement latencies for pairs of words and these serve as the input matrix for a hierarchical clustering (HC) analysis. It is concluded that when subjects make judgements concerning the forward order of pairs of words, the latencies imply the presence of a hierarchical organization. Although the tree structures obtained do not follow in any detail the surface structures of the sentence types in either experiment, nonetheless when constituent analysis indicates no difference it is accompanied by identical performance structures, and when a surface distinction is called for, an appropriate difference is found in the tree diagrams produced by cluster analysis. Deep structure differences involving the rearrangement of component words are not found in the hierarchical structure subjects imposed. The pausing patterns followed by subjects when reading the sentences are shown to relate to the structural diagrams generated by the HC analysis.

Nylon 66 / Nomex Composite Yarn Performance Analysis

2014 ◽  
Vol 568-570 ◽  
pp. 1671-1674
Author(s):  
Gen Yang Cao ◽  
Dan Sheng ◽  
Kai Yang ◽  
Xue Feng Lu ◽  
Wei Lin Xu
Keyword(s):  
Mechanical Properties ◽  
Cluster Analysis ◽  
Performance Analysis ◽  
Confidence Interval ◽  
Polyamide 66 ◽  
Nylon 66 ◽  
Composite Yarn ◽  
Significant Difference ◽  
Relationship Of ◽  
The Relationship

The embedded composite spinning technology was applied in spinning the composite yarn of polyamide 66 and nomex .The relationship of the polyamide 66 and nomex’s content with the mechanical properties of composite yarn and hairiness was discussed. The method of cluster analysis was applied in analyzing the four kinds of yarn’s mechanical properties. And the results show that when the confidence interval is 95%, the significance of two kinds yarns were greater than 0.05. There is no significant difference between the programs. While the analysis of the hairiness data showed that the fourth solution’s harmful hairiness was much lower that the first solution’s. Therefore, the best solution is the fourth solution.

scholarly journals Goalkeeper Performance: Analysis of Goalkeepers’ Contribution to Their Team’s Build-up under the Opponent’s Pressure in the 2018 World Cup

2021 ◽  
Vol 34 ◽  
pp. 77-86
Author(s):  
Dimitrios Mikikis ◽  
Yiannis Michailidis ◽  
Athanasios Mandroukas ◽  
George Mavrommatis ◽  
Thomas Metaxas
Keyword(s):  
Performance Analysis ◽  
World Cup

Performance Analysis Tool for network analysis on team sports: A case study of FIFA Soccer World Cup 2014

2016 ◽  
Vol 230 (3) ◽  
pp. 158-170 ◽  
Author(s):  
Filipe Manuel Clemente ◽  
Frutuoso Silva ◽  
Fernando Manuel Lourenço Martins ◽  
Dimitris Kalamaras ◽  
Rui Sousa Mendes
Keyword(s):  
Network Analysis ◽  
Performance Analysis ◽  
Team Sports ◽  
Analysis Tool ◽  
World Cup

scholarly journals Performance Analysis During the 2014 FIFA World Cup Qualification

2014 ◽  
Vol 7 (1) ◽  
pp. 183-197
Author(s):  
Martin Flégl
Keyword(s):  
Sensitivity Analysis ◽  
Data Envelopment Analysis ◽  
Performance Analysis ◽  
Data Envelopment ◽  
World Cup ◽  
Fifa World Cup ◽  
Dea Model ◽  
National Team

This article analyzes the performance of the national football teams during the 2014 FIFA World Cup qualification. The sample consists of 31 qualified national teams to the final tournament in Brazil. The analysis uses Data Envelopment Analysis (DEA) methodology and is carried out for the whole qualification period between June 2011 and November 2013. Each national team is evaluated according to a number of played matches, used players, qualification group quality, obtained points, and score. The results show that only 12.9% teams reached the performance of 100%. The reasons of low performances mainly depend on teams´ qualities either in each qualification zone or in each qualification group. In addition, a sensitivity analysis is used to confirm the adequate structure of the DEA model.

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