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To answer these questions, we are mainly using Numpy and Pandas for data analysis and Plotly for visualization. The database is self -scraped from transfermarkt. In an other article, I will show how the data is scraped and processed. The datasets and the complete Jupyter-Notebook are available on GitHub. For further questions, please contact me. The English Premier League is considered as one of the most attractive leagues in the world. Not only the long history, but also the financial volume of the league are the reasons for their uninterrupted popularity.
With this money young talents and world stars can be brought into the English league, which in turn also secures the sporting success.
UEFA has a ranking on its website showing the European football associations. The calculation basis is the performance of individual clubs in European top competitions such as the Champions and Euro League. The current top 10 is shown in Figure Spain is in first place in the five-year average, because a total of 4 Champions- and 3 Euro-League titles could be won in this period. Do we also find this pattern in the squad values?
To answer this question, we visualized the average squad value for each country:. Figure 2 shows the average squad value of the top 10 leagues . The financial dominance of England can be seen at first glance. These are also the national associations that make up the top 5. All five clubs have performed well since in terms of squad value.
In addition, the absolute level is significantly lower than the top 5 quintet. This financial dominance is also reflected in the form of sporting dominance in the Champions League.
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Figure 3 shows the title winners of the last 15 years:. The four countries that ranked fourth in terms of squad value have in the recent past also been the winners of the highest European soccer class. Obviously, the financial dominance also leads to a sporting dominance, which manifests itself more and more. But what about the top 5 leagues at national level? Can we expect variety here? Are the clubs pictured in Figure 2 uncatchable for the competition?
For the five European top leagues we have longer time series from to Thus, we can look at the development over a period of 10 years:. Figure 4 also shows that the average squad value in all leagues has increased significantly. The order is mainly the same, only Italy has slipped from 2nd place to 4th place.
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Is there a dominance of the teams with the most valuable squads here, analogous to the European level? The following teams have had the most valuable squads in the last ten years:. Figure 5 shows championship titles from the aforementioned teams. Especially in Germany, Italy and Spain the top teams are dominant. At the national level too, the clubs with the most expensive squads dominate the league. But what about financial development in general?
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Is financial inequality in the leagues continuing to increase or are there dynamic developments at the national level, so that we can expect more variety in the future? To answer this question, we look at the so-called GINI coefficient.
http://rossis.myerp.work/erp/bucks/solteras-frases-chidas-para-facebook.php This is primarily used in economics to reflect equality or inequality. Often the coefficient is applied to the distribution of income to check how equal or unequal assets are distributed in a society. If the GINI coefficient is 0 all persons would have exactly the same, but if the value is 1, one person would have everything and the others nothing.
- A statistical analysis at European and national level!
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