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.

scholarly journals Performance analysis of the last champion German National Team in 2014 FIFA World CupSon şampiyon Alman Milli Takımının 2014 FIFA Dünya Kupası performansının analizi

2015 ◽  
Vol 12 (1) ◽  
pp. 1107 ◽  
Author(s):  
Kemal Göral
Keyword(s):  
Performance Analysis ◽  
Performance Indicators ◽  
High Rate ◽  
World Cup ◽  
Fifa World Cup ◽  
Average Percentage ◽  
National Team ◽  
Several Variables ◽  
Successful Team ◽  
Soccer Team

<p class="Default">This study has been carried out to analyze the National Team of Germany that had been the winner of the 2014 FIFA World Cup as the most successful team for several variables. Data analyzed in this research were gathered from the official web site of the Fédération Internationale de Football Association and the international TV channels broadcasting the competitions. Technic parameters such as shots, accurate shots, corner kicks, offsides, accurate and non-accurate passes, and variances of goals scored in the matches were analyzed according to the goal times and areas. Statistics were registered through SPSS program and the percentages and frequencies were calculated. Germany National Team, the most successful team of the 2014 FIFA World Cup has scored 18 goals with an average of 2.57 goals per match without conceding a goal in the first periods . This statistic is similar to all previous tournaments. All along the tournament, most (%74) of the first 11 players of the teams starting the matches were consisted of players from Bundesliga. Accurate shots’ percentage has been determined as %73.2, the average percentage of possessing the ball as %56.71 and also the percentage of accurate passes as %81.9 out of 4990 pass attempts. As a conclusion, to achieve great results in top level tournaments such as FIFA World Cup, there are important performance indicators to take into consideration. Regarding the success of the German National Soccer Team in the tournament, it is argued that especially possessing the ball, shooting and passing accurately with a high rate along with other performance indicators are the base elements of success.</p><p class="Default"> </p><p class="Default"><strong>Özet</strong></p><p>Bu çalışma, 2014 FIFA Dünya Kupasında ilk sırada yer alarak en başarılı takım olan Almanya Milli futbol takımının farklı değişkenler açısından analiz edilmesi amacıyla yapılmıştır. Araştırma verileri, müsabakaları yayımlayan uluslararası TV kanalından ve FIFA (Fédération Internationale de Football Association) resmi internet sitesinden elde edilmiştir. Müsabakalarda, atılan ve yenilen gollerin zaman dilimlerine göre dağılımı, bölgelere göre topa sahip olma yüzdeleri, atılan şut, isabetli şut, köşe vuruşu, ofsayt, başarılı ve başarısız pas sayıları gibi teknik parametrelerin dağılımları analiz edilmiştir. Elde edilen veriler SPSS programında kaydedilmiş, frekans ve yüzde değerleri hesaplanarak yorumlanmıştır. 2014 Dünya kupasının en başarılı takımı olan Almanya Milli takımının, turnuva boyunca maç başına 2.57 gol ortalaması ile attığı 18 golün tüm zaman dilimlerinde benzer dağılımlar gösterdiği ve maçların ilk yarılarında hiç gol yenilmediği belirlenmiştir. Turnuva boyunca maçlara ilk 11’de başlayan futbolcuların büyük çoğunluğunu (%74.0) Bundesliga’da oynayan futbolcular oluşturmaktadır. İsabetli şut atma yüzdesinin %73.2 gibi oldukça önemli bir oranda, 7 maçta yapılan 4990 pas girişiminden %81.9’unun başarılı ve topa sahip olma yüzdesi ortalamasının %56.71 olduğu tespit edilmiştir. Sonuç olarak, Futbol Dünya Kupası gibi üst düzey müsabakaların oynandığı turnuvalarda, başarılı performansa ulaşabilmek için gerekli birçok performans göstergesinin olduğu, Almanya Milli takımının başarısında her maçta yüksek oranda isabetli şut atma, topa sahip olma ve başarılı pas yüzdeleri ile birlikte bu unsurların diğer performans göstergelerini de olumlu yönde etkileyerek başarılı performansın temelini oluşturduğu söylenebilir.</p>

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.

scholarly journals Operational Efficiency of Chinese Provincial Electricity Grid Enterprises: An Evaluation Employing a Three-Stage Data Envelopment Analysis (DEA) Model

2018 ◽  
Vol 10 (9) ◽  
pp. 3168 ◽  
Author(s):  
Haoran Zhao ◽  
Huiru Zhao ◽  
Sen Guo
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Variables ◽  
Market Competition ◽  
Environmental Values ◽  
Operational Efficiency ◽  
Data Envelopment ◽  
Electricity Grid ◽  
Frontier Analysis ◽  
Dea Model ◽  
Statistical Noise

With the implementation of new round electricity system reform in China, the provincial electricity grid enterprises (EGEs) of China should focus on improving their operational efficiency to adapt to the increasingly fierce market competition and satisfy the requirements of the electricity industry reform. Therefore, it is essential to conduct operational efficiency evaluation on provincial EGEs. While considering the influences of exterior environmental variables on the operational efficiency of provincial EGEs, a three-stage data envelopment analysis (DEA) methodology is first utilized to accurately assess the real operational efficiency of provincial EGEs excluding the exterior environmental values and statistical noise. The three-stage DEA model takes the amount of employees, the fixed assets investment, the 110 kV and below distribution line length, and the 110 kV and below transformer capacity as input variables and the electricity sales amount, the amount of consumers, and the line loss rate as output variables. The regression results of the stochastic frontier analysis model indicate that the operational efficiencies of provincial EGEs are significantly affected by exterior environmental variables. Results of the three-stage DEA model imply that the exterior environmental values and statistical noise result in the overestimation of operational efficiency of provincial EGEs, and the exclusion of exterior environmental values and statistical noise has provincial-EGE-specific influences. Furthermore, 26 provincial EGEs are divided into four categories to better understand the differences of operational efficiencies before and after the exclusion of exterior environmental values and statistical noise.

scholarly journals A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs

2021 ◽  
Vol 9 (4) ◽  
pp. 378-398
Author(s):  
Chunhua Chen ◽  
Haohua Liu ◽  
Lijun Tang ◽  
Jianwei Ren
Keyword(s):  
Data Envelopment Analysis ◽  
Transportation Systems ◽  
Decision Makers ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Super Efficiency ◽  
Dea Model ◽  
Dea Models ◽  
Analysis Models ◽  
Transport Accidents

Abstract DEA (data envelopment analysis) models can be divided into two groups: Radial DEA and non-radial DEA, and the latter has higher discriminatory power than the former. The range adjusted measure (RAM) is an effective and widely used non-radial DEA approach. However, to the best of our knowledge, there is no literature on the integer-valued super-efficiency RAM-DEA model, especially when undesirable outputs are included. We first propose an integer-valued RAM-DEA model with undesirable outputs and then extend this model to an integer-valued super-efficiency RAM-DEA model with undesirable outputs. Compared with other DEA models, the two novel models have many advantages: 1) They are non-oriented and non-radial DEA models, which enable decision makers to simultaneously and non-proportionally improve inputs and outputs; 2) They can handle integer-valued variables and undesirable outputs, so the results obtained are more reliable; 3) The results can be easily obtained as it is based on linear programming; 4) The integer-valued super-efficiency RAM-DEA model with undesirable outputs can be used to accurately rank efficient DMUs. The proposed models are applied to evaluate the efficiency of China’s regional transportation systems (RTSs) considering the number of transport accidents (an undesirable output). The results help decision makers improve the performance of inefficient RTSs and analyze the strengths of efficient RTSs.

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