Club and league performance in the UEFA EURO 2020

The UEFA Euro 2020 just ended and Italy won over England. However, besides the aspect of national competition, major football tournaments are also an opportunity for players to present themselves to the world. Simultaneously, the UEFA Euro 2020 offers an opportunity to analyse the squads of the best clubs in Europe. In this little data science exercises, I therefore want to see how the clubs and leagues performed.

Number of players

Figures 1 and 2 below show the top clubs and leagues by total number of players in the tournament. Number of players is a reasonable indicator of club / league quality as it shows how many players of a clube are considered best in their country. Chelsea had the most players in the tournament, followed Manchester City and Bayern Munich. Considering that the total Chelsea squad for the 20–21 season had 49 players playing for Europe, this means 32% of the squad are considered best of their home country (playing in their national teams) and are also among the top 16 national teams in Europe!

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Number of goals

Number of players is a reasonable measure, but in the end we want to see goals! Therefore, I did the same exercise for goals! How many goals did players of individual clubs and leagues shot? It is important to mention that the dataset only contains shot goals per player (so no own goals) and also includes penalty goals (such as from the Italy vs. England final).

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Minutes played

Since goals and number of players are a bit biased measures, let’s turn to a third measure of performance: Minutes played. For every player, the UEFA reports the actual minutes played in the tournament. This measure doesn’t discriminate players by position, such as with forwarders having higher chances to make goals than defenders. In contrast to purely counting the number of players, it also accounts for a players’ role in the national team (is he just on the squad or actually playing from the start). The dataset contains the minutes played in the tournament for every player (minutes played across all games). Obviously, total minutes are higher for teams that proceeded further in the tournament.

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Minutes per Goal

As a last measure for this exercise, we look at the average minutes per goal. Minutes per goal is a common measure for individual forward players, indicating their efficiency (e.g. how long do they need for a goal). You can find the top values in Europe for the 19–20 season here. Since this ratio can only be calculated if there is at least one goal, it only considers players who shot a goal. Furthermore, I exclude leagues and clubs with only one goal shot as these can be lucky shots.

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I am an Assistant Professor in real estate finance, exploring the opportunities of big data.I am interested in all kinds of data science exercises.