Issue number 216 of the CIES Football Observatory Weekly Post uses OptaPro data to analyse the dribbling skills of big-5 league players. The dribbling index is calculated by multiplying the average number of dribbles achieved per 90 minutes with the percentage of successful ones. This allows us to take into account both the quantity and quality of dribbles. Three players clearly distinguish themselves in this area: Eden Hazard, Neymar and Lionel Messi.

While Neymar won so far a higher number of contests per 90 domestic league minutes, Hazard achieved a greater percentage of dribbles attempted: 75% compared to 62%. Messi’s success rate is also 62%. The highest percentages of successful dribbles among players figuring in the top 100 were measured for central midfielders: Mousa Dembélé, Mario Lemina, Julian Draxler, etc. This finding reflects the more defensive location of their dribbles.

Players trained in France are over-represented at the top of the table: nine in the first 15 positions. This reveals the excellence of the French training system and its ability to promote skilful players. The best ranked footballers trained in the other countries hosting the five major European leagues are Isco (16th), Zaha and Loftus-Cheek (19th), Draxler (19th) and D’Alessandro (38th). The technical profile of all big-5 league players is available here.

The CIES Football Observatory has analysed the domestic league experience cumulated during the last two years by U20 players from 22 European competitions to identify those with the best career prospects. Minutes played by each footballer were weighted according to the sporting level of leagues and the results achieved by employer clubs. Weekly Post number 215 presents the 50 players with the highest experience capital scores.

The five-star prospect category includes ten players who should be able to establish themselves in the very best European teams. In the top three positions are Gianluigi Donnarumma, Alban Lafont and Kylian Mbappé. Eighteen footballers make up the four-star category list. All of these players have a concrete possibility to spend the big part of their career in the most competitive European championships. Three-star prospects also are in a favourable position to stay or reach the highest levels of the football pyramid.

The capital experience methodology exclusively developed by the CIES Football Observatory research team allows market actors to compare talents across leagues on an objective basis. This is particularly useful from a scouting perspective. Last season’s rankings are accessible here. The freshly published February’s Monthly Report investigates the link between age and success in Europe.

The demographic analysis of squads is a key research area of the CIES Football Observatory. The 32nd edition of the Monthly Report analyses the age structure of teams from 31 top division European leagues. This allows us to show discrepancies on an international level, while also investigating the links between the age structure of teams and success.

The comparative analysis of the average age of champions since 2009 reveals great cultural differences in the perception of the most favourable age structure for a squad. At one extreme, the youngest champions are to be found in the Netherlands (24.2 years), where teams pay high attention to the training and development of young talents. At the other extreme, Cypriot champion teams had the oldest squads over the period surveyed (28.8 years).

Generally, clubs that are more competitive have older squads. However, after a certain threshold of sporting and economic power, the age structure of clubs tends to converge around 26.5 years of age. Between 2009 and 2017, the median age of champions in the five major European leagues was also 26.5 years old. In order to achieve success at the highest level, it is important for clubs to have as many players who did not celebrate their 27th birthday than footballers over this age threshold.

No club in football history has invested as much money in transfer indemnities to assemble the squad than Manchester City presently. Despite the loan of Mangala to Everton, the expensive signing of Laporte brought the total squad recruitment cost to a record high of €878 M. The data for all big-5 league teams is available in issue number 214 of the CIES Football Observatory Weekly Post.

Manchester City outranks Paris St-Germain (€805 M), Manchester United (€747 M) and Barcelona (€725 M). These are the only clubs having spent more than €700 M to assemble their current squad. The economic logic suggests that the next Champions League winners is to be found among these teams. However, while money is important, other factors such as team cohesion can influence the course of events.

The average amounts invested in transfer fees by league and team varies between €97 M for the French Ligue 1 to a record high of €291 M at English Premier League level. The figures in the three other competitions of the big-5 are more balanced: €113 M for the German Bundesliga, €124 M for the Italian Serie A and €131 M for the Spanish Liga. In total, 42 clubs out of 98 have a squad recruitment cost of more than €100 M.

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Issue number 213 of the CIES Football Observatory Weekly Post analyses transactions carried out by big-5 league clubs during January’s transfer window. For the first time in history, the total estimated spending was over one billion euro. Transfer expenditure increased by 36% compared to the previous record figure measured in 2017. English Premier League investments accounted for 51% of transfer indemnities paid by big-5 league clubs as a whole.

Since 2010, Premier League teams always had negative balance sheets for operations carried out during winter windows. The net balance in 2018 was -€113 M despite the expensive transfers of Philippe Coutinho and Diego Costa from England to Spain. These signings mainly explain the record deficit observed for Spanish Liga teams: -€188 M. The estimated balance sheets for the three other major European championships were positive: +€48 M for the Italian Serie A, +€33 M for the German Bundesliga and +€14 M for the French Ligue 1.

Once again, a high correlation (75%) was measured between values estimated through the exclusive CIES Football Observatory algorithm and fees paid by clubs. However, the majority of transfers were concluded for higher amounts than those estimated. This confirms the ongoing inflation trend in football players’ transfer market. The updated transfer values for all big-5 league squad members are available here.

The CIES Football Observatory research group is happy to disclose a brand new “performance rankings” widget. This exclusive tool allows users to assess the level of big-5 league players over four different time periods: last week, last month, last three months and last six months. Footballers are ranked according to their pitch production in domestic league matches using the unique statistics produced by the leading data company OptaPro.

At the head of the European rankings for the last six and three months is David Silva (Manchester City), while Lionel Messi tops the table for the last month. Among the players who obtained the highest possible mark for last week matches are established stars such as Ángel Di Maria (Paris St-Germain), Arjen Robben (Bayern Munich) and Cristiano Ronaldo (Real Madrid), as well as promising talents such as Álex Berenguer (Torino), Amine Harit (Schalke 04) and Moise Kean (Verona).

Two other widgets are available on the CIES Football Observatory website. They allow users comparing the technical profile of big-5 league players and monitoring trends in their transfer values. More information on the performance algorithms developed by the CIES Football Observatory is available here. This research note presents the approach used to estimate the transfer value of professional footballers.