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Writer's pictureSoccer Analytics

Premier League 2019/2020 by Nationality

Updated: Aug 26, 2020


After the introduction of Bosman's law in 1995, the cultural diversity of professional football teams in Europe has increased considerably and in England, it's no exception. The recruitment of players started to be seen not only in terms of the potential to improve the team but also as a business opportunity.

This began to be one way to boost investments and have a short-term return, addind the fact that it's a new opportunity to substantially increase the club Marketing, whether in Merchandising or, more recently, in terms of expanding the communication with social media and brand value growth.

This began to be one way to boost investments and have a short-term return, adding the fact that it's a new opportunity to substantially increase the club Marketing, whether in Merchandising or, more recently, in terms of expanding the communication with social media and brand value growth.

Despite all this, players will ultimately be evaluated on their performance on the pitch, and their skill is a major factor that's going to have a lot of influence on their market values.


The 64 nationalities included in the 2019/2020 edition of the Premier League, show that this competition continues to invest strongly in multiculturalism.

The values ​​​​shown below were always the result of an average between the statistical variable under study and the number of minutes spent by players of each nationality. In this regard, it is clear that the nationalities with a predominance of players in this competition will be less highlighted in this analysis.

It becomes clear that this study based on understanding the performance of all nationalities, in every aspect and moment of the game., due to the Incredibles 14 goals of the Burney FC forward Chris Wood

It is easy to see that Gabon appears first in this ranking, having only one player in this competition, the "Gunners" forward Pierre-Emerick Aubameyang, losing the trophy of best scorer by just one goal to the English James Vardy. Despite that it's interesting to note that closing the podium of this analysis, Iran still appears in second place, due to the 2 goals scored in just over 300 minutes by Brighton and Hove Albion forward Alireza Jahanbakhsh and New Zealand's in third, due to the incredible 14 goals scored by Burney FC forward Chris Wood.

Taking into consideration the minutes needed to provide an assist, South Korea stands out due to the performance of Tottenham Hotspur FC winger Son Heung-Min, with 10 assists in total. It's also worth mentioning that Guinea's also very well represented by the Liverpool FC midfielder Naby Keïta, with three assists in 814 minutes played.

The highlgiht for the ratio of minutes spent by a goal or assist goes to Algeria's third place, owing a lot to the 11 goals and 9 assists done by the Manchester City winger Riyad Mahrez with another stunning year wearing the "Cityzen's" jersey.

Data clearly distinguishes Croatia, Guinea and Kenya in that the stat of minutes needed to touch the ball and make a pass.

Croatia ends up being a consequence of the country's playing style, with a propensity to form center midfielders with a high vision ability, Mateo Kovacic midfielder of Chelsea FC is another case. The rest of the list is marked by nationalities with only one player in the competition and with few minutes played, for example Tottenham's player Victor Wanyama and the Liverpool's midfielder Naby Keïta.

When we analyze the ratio of minutes spent per tackle, it immediately emerges that the top 5 is entirely made up of African countries, which turns out to be a reflection of the genetic heritage of this continent, endowing, in most of the cases cases, players with physical abilities above average.

When we analyze the ratio of minutes spent per tackle, it immediately stands out that the top 5 is entirely made up of African countries, which turns out to be a reflection of the genetic heritage of this continent endowing, in most of the cases, players with physical abilities above average like Cheikhou Kouyaté from Crystal Palace and Zimbabwean Marvelous Nakamba from Aston Villa.

Regarding the performance of goalkeepers, it is important to note that the average was made taking into account only the total of minutes played by actual goalkeepers. Another of the variables that interfere in both the ratio of defenders and penalties defended, is the tactical approach and play style, as more defensive teams are more likely to suffer a larger number of shots against their goal and are more likely to commit penalties since the ball spends more time near that area.

Having everything that was mentioned well established, who stood out the most in this statistic, was the goalkeeper of Crystal Palace Wayne Hennessey, and the Frenchman from Tottenham Hotspur FC Hugo Lloris?


The highlight in penalties saved ratio goes to the North Irish Michael McGovern of Norwich City with one penalty saved in less than 2 complete games in the 2019/2020 edition of the Premier League. Closing the podium, we should refer to the two penalties saved by the Portuguese Wolverhampton Wanderers Rui Patrício and the Norwich City Dutchmen Tim Krul, both of them shown to be crucial on their respective teams throughout the years.



It is safe to state that Asian and African players have grown their influence on the most competitive league in the world, despite having, as expected, a combined number of minutes played considerably lower than the Europeans, their importance on the various stages of the game is notoriously increased, standing out most of the times as you could all see in the previous graphics.

This began to be one way to boost investments and have a short-term return, adding the fact that it's a new opportunity to substantially increase the club Marketing, whether in Merchandising or, more recently, in terms of expanding the communication with social media and brand value growth.


That being said, what do you think is this tendency going to keep growing or are the European countries show their true dominance in the league?


Soccer Analytics - Data Analysis

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