Recently, the failed European Super League project was a big subject on Twitter. Among millions of tweets posted on this topic, some voices are especially influential.

This article is a continuation of the analysis we published on the impact of Twitter in the abandonment of the Super League. Thus, the dataset used is the same: 2.6 million tweets posted by 876,000 unique users in 5 languages (๐Ÿ‡ซ๐Ÿ‡ท ๐Ÿ‡ฌ๐Ÿ‡ง ๐Ÿ‡ช๐Ÿ‡ฆ ๐Ÿ‡ฎ๐Ÿ‡น ๐Ÿ‡ฉ๐Ÿ‡ช ). In the first analysis, we focused on content (sentiment analysis, semantic mappings…). Here, the objective is to analyse the influential content senders.

It is possible to categorise influencers / KOLs according to different KPIs (indicators). Here, two angles are retained:

  • First, we will analyse mentions with mappings
  • Then the engagement with interactive visualizations.

Some graphs are available in interactive version here. You can browse through them and find KOLs that match your criteria!



First of all, it should be noted that the analysis of mentions allows us to highlight the opinion leaders solicited.

To do this, we sub-sampled the dataset on the English community. Here is the stakeholder mapping we obtained.

Detailed view :

The stakeholder mapping highlights different communities

๐Ÿ”ด Super League member clubs
๐Ÿ”ต The official institutions
๐ŸŸค English media
๐ŸŸฃ Specialised sources and information relays
๐ŸŸข The players
๐ŸŸก Clubs not involved in the project

The first community therefore represents clubs and institutions (๐Ÿ”ด ๐Ÿ”ต ๐ŸŸก): as the subject of the controversy concerns them, their majority presence is logical. It remains interesting to know which clubs are the most mentioned:

๐Ÿฅ‡ Manchester United
๐Ÿฅˆ Liverpool FC
๐Ÿฅ‰ Arsenal

Focusing on the ‘media’ communities, we can see that the presence of English sports media such as Skysport on Twitter is carried by former players now consultants:

๐Ÿฅ‡ Gary Neville
๐Ÿฅˆ Jamie Carragher
๐Ÿฅ‰ Gary Lineker

As far as specialised information relays are concerned, this community is carried by the international accounts:

๐Ÿฅ‡ Fabrizio Romano
๐Ÿฅˆ El Chiringuito TV
๐Ÿฅ‰ The Athletic UK

If there are any stakeholders in the world of football that fans have been waiting to hear from, it is the players! In our list of mentions, we have to distinguish two types of players:

We must therefore distinguish between two types of players:

The players who spoke out and caused a reaction:

๐Ÿฅ‡ Marcus Rashford
๐Ÿฅˆ Jordan Henderson
๐Ÿฅ‰ Bruno Fernandes (speaking on Instagram)

Players whose speaking out was expected:

๐Ÿฅ‡ Cristiano Ronaldo
๐Ÿฅˆ Harry Kane
๐Ÿฅ‰ Kylian Mbappรฉ

The latest mapping’s communities show that English supporters were expecting a political response:

  • On one side (turquoise), we find for example: Boris Johnson or the Conservative party.
  • On the other (purple), online petition platforms: Change.org UK or Change.org.

If you look at the same dataset, but with the angle of engagement (RTs and likes), the KOLs vary. And this is logical! Here, we are taking a more qualitative approach: we are analysing the stakeholders whose voice is supported.

Here is a graph showing the Top Users according to two parameters: RT and Likes.

To open this visualisation in a new tab you can click here.

This graph represents 3 variables : the number of publications on the y-axis (count), the volume of engagement on the x-axis and size (RT or likes) and the ratio between the two for the colour (Ratio RT or Ratio Likes).

It allows us to determine the leaders of engagement on the English Twitter Foot:

๐Ÿฅ‡ Fabrizio Romano
๐Ÿฅˆ B/R Football
๐Ÿฅ‰ Skysport: (skysportsnews & skysportpl)

European audience

Now let’s look at the European level to conclude this analysis and to answer the initial question (who are the football KOLs in Europe). Here is the engagement graph on my complete dataset :

When we look at the cumulative engagement:

If we focus on the engagement ratio per publication:

Media that specialise in coverage of a particular club also generate a huge commitment in Europe : utdreport & theMadridZone

Finally, if we look at this datavisualisation by highlighting the language used by users, we can see that English content is by far the most engaging. However, the French news relay accounts manage to generate very strong engagement. For Spain, the El Chiringuito TV and 2010MisterChip are the most influential

If you have any questions or if you want to analyse the data of a subject ?


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