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Barcelona top the charts for producing the most big-5 league players

Out of the 43 big-5 league footballers trained at Barcelona, 13 are still playing for the Catalan club. Only Olympique Lyonnais, Athletic Bilbao and Real Sociedad have a greater number of club-trained players in their current squad. To be able to rely on homegrown talent in this way has provided a key competitive advantage for Barcelona over the last decade. Munir El Haddadi and Sandro Ramírez are the latest examples of this strategy.

Barcelona is also at the top of the table of clubs having trained the most footballers playing for other big-5 league teams (30), ahead of Real Madrid (26) and Manchester United (24). This finding not only highlights the quality of training provided by these top teams, but also demonstrates the difficulty for youth academy players to breakthrough into the first team squad of the most competitive club. This is unlikely to change in the near future, irrespective of the legal framework in force.

River Plate heads the ranking for clubs not participating in the big-5 leagues. The Argentinean team has trained 17 players currently employed by teams in the five major European championships, which is two more than Le Havre, Ajax and Munich 1860.

Issue 86 of the CIES Football Observatory Big-5 Weekly Post also shows that the percentage of club-trained players went down for the fourth consecutive season and has now reached a new record low: 17.2% of squad members. This percentage varies between 24.6% in France and 9.6% in Italy. To be considered club-trained, a player must have played for at least three seasons between the ages of 15 and 21 for his employer club (UEFA criterion).

More information is available on request at football.observatory@cies.ch

Manchester United second youngest line-up in Europe

At the opposite end of the table, Manchester City fielded the third oldest line-up at big-5 league level: 29.3 years (highest figure in the English Premier League). This suggests that fresh blood is needed to maintain top level performance standards over the long term. Only Verona (31.0) and Torino (30.3) fielded more seasoned players than Manchester City.

Since 2008/09, the youngest line-up in the big-5 was fielded by Nice: 22.1 years on average against Evian on 10.05.2014. Conversely, the team having fielded the oldest line-up is Milan AC: 33.3 years against Catania on 03.05.2009.

The data on the last match day for all big-5 league clubs is available in the 85th Weekly Post. For more information, please contact us at football.observatory@cies.ch

New “ranking by minute” statistics: there is hope for Manchester United

Since the beginning of the English Premier League season, Manchester United achieved the third highest score in points achieved by minute played, ahead of Manchester City (5th). This suggests that Louis van Gaal’s team should be able to further improve its results in the near future. The gap measured with respect to Chelsea is indeed not as significant as at the end of the matches played so far (-0.42 compared to -1.14). Conversely, Arsenal is ranked only 16th.

At individual player level, in the English Premier League Marcos Rojo (Manchester United) has achieved the most points by minute played: 2.39 on average. The lowest figure among footballers who have played at least half of total match minutes was recorder for Niko Kranj?ar (QPR, 0.31).

Players with the most impressive statistics in the remaining big-5 European leagues are Pablo Piatti (Valencia), Dimitri Payet (Marseille), Arjen Robben (Bayern) and Angelo Ogbonna (Juventus). In contrast, the least successful players so far this season besides Niko Kranj?ar are Xabi Prieto (Real Sociedad), Mathieu Peybernes (Bastia), Julian Draxler (Schalke 04) and Daniele Conti (Cagliari).

The minute by minute rankings will be updated after each championship round. They will be available throughout the season on the CIES Football Observatory website.

Cesc Fàbregas makes the difference

The best performing players in the other positions are Giorgio Chiellini (centre back), Jordi Alba (full back), Xabi Alonso (central/defensive midfielder) and André-Pierre Gignac (forward). Only footballers who played at least 60% of championship minutes are included in the analysis.

Many footballers who did not yet represent a national A-team are to be found in the top 15 positions of the rankings: Robin Knoche (Wolfsburg), José Fonte (Southampton), Antonio Balzano (Cagliari), Layvin Kurzawa (Monaco), Juan Bernat (Bayern Munich), Roberto Pereyra (Juventus), James Ward-Prowse (Southampton), Manuel Nolito (Celta Vigo) and Wissam Ben Yedder (Toulouse). All these footballers deserve a chance to play for their country of origin.

Players are ranked according to their production and efficiency in six areas of the game (see below). The six key performance skills taken into account are weighted differently per position according to their impact on club results. Consequently, for example, rigour is more important for centre backs than for forwards. For more comparability, the rankings also consider the differences in the intensity and style of play between leagues.

CIES Football Observatory key performance skills

  • Shooting: ability to take advantage of goal opportunities through accurate shooting
  • Chance creation: ability to put teammates in good position to score
  • Take on: ability to create dangerous situations by successfully challenging opponents
  • Distribution: ability to hold the grip on the game through efficient passing
  • Recovery: ability to minimise goal opportunities for opponents through proficient ball recovery
  • Rigour: ability to minimise goal opportunities for opponents by efficiently blocking their actions

Records broken during 2014 summer transfer window

A new record high was also measured with regard to the percentage of transfer fees invested with 49% of the ten most active clubs now involved in this activity. In addition, the level of transfer fee compensation paid by clubs in the most active league – the English Premier League - reached a new peak of 45% of total transfer expenditure.

All of these findings show the increasing concentration of fee paying transfer activity at the very top of the football pyramid. At the same time, and as shown in issue 81 of the Big-5 Weekly Post, an increasing proportion of fees invested do also benefit other big-5 league clubs (72% during the last transfer window compared to 67% for the five previous years). These figures highlight the ongoing transformation of the transfer market into a zero-sum game involving a closed circle of top level teams and with significant amounts of money made by dominant intermediaries and/or third-parties.

The club that invested the most on the transfer market since 2008 was Real Madrid €750 million, closely followed by Manchester City (€733 million).

CIES Football Observatory online database updated

Data refers to the indicators of average age, average height, % of club-trained players, % of internationals, % of expatriates and average stay.

More detailed data relating to club level analysis is presented in our annual publications: Annual Review (big-5 leagues) and Demographic Study (31 top division leagues in Europe).

We also kindly remind you that an online tool to assess the transfer value of big-5 league players is available here.

Thank you very much for your interest!

Transfer analysis: big-5 leagues as closed system

The team who was able to generate the most incomes by transferring players to big-5 league clubs is Southampton (120.7 million €). The English team outranks Real Madrid (112 million €) and Chelsea (102.4 million €). The only non big-5 league clubs in the top 10 of the ranking is Porto (83.8 million €). However, a big part of transfer incomes of the Portuguese team was finally due to third-parties that held shares on the economic rights of players transferred.

Among the 46 teams that earned at least 15 million €, only six are not part of big-5 leagues: Benfica, Ajax, Sporting Lisbon, Feyenoord, Dinamo Kiev and Salzburg. More information is available in the 81st issue of the Big-5 Weekly Post.

CIES Football Observatory’s big-5 league predictions

This year’s predictions take into account the following areas: players’ status, squad cohesion and club ambition. The indicator of players’ status considers minutes played by squad members during the previous season, as well as overall results achieved by their employer club. Squad cohesion refers to the percentage of domestic league minutes played in 2013/14 by footballers who are still at the club, as well as the average number of seasons played by current squad members at the employer team. Finally, club ambition includes the average length of contract duration of first team players, as well as the ratio between the status of new signings and that of footballers released by the club during the last transfer window.

Analysis of the above criteria by the CIES Football Observatory academic team indicates that Chelsea, Barcelona, Paris St-Germain, Bayern Munich and Rome are in the most favourable position to win the title in their respective leagues. Our data also suggests that the runners-up will be Manchester City, Real Madrid, LOSC Lille, Borussia Dortmund and Juventus. Among promoted teams, Leicester City, Burnley, Deportivo La Coruña, Metz and Cologne are well placed to achieve good results. In contrast to this, the following clubs are forecast to struggle in achieving satisfactory results: Crystal Palace, Sunderland, Almería, Nice, Eintracht Frankfurt and Chievo Verona.

Enjoy the season and may the best teams win!

Transfer market inflation continues at big-5 league level

Our ‘right price’ has been calculated as the average between a player’s transfer value both before and after the deal. Significantly, the latter figure also considers the new contract duration of the footballer recruited. Both values have been calculated according to the exclusive CIES Football Observatory statistical model which incorporates nearly 1,500 fee paying transfers completed since 2009 (see below).

Our new data analysis has revealed that overall clubs paid on average 16% more than they invested in the five previous years for players with similar characteristics (add-ons included). This confirms the ongoing inflation trend of the transfer market at the top end of the football pyramid. The inflation trend is mainly due to the sums spent by a handful of wealthy clubs. This was notably the case for Manchester United with regard to Angel Di María (+30 million € between the right price and fee reported), for Paris St-Germain for David Luiz signing (+ 29 million €) and for Real Madrid in the case of James Rodríguez (+25 million €).

At the opposite end of the table, our analysis shows that the existence of buy-out clauses and/or non-sporting related issues allowed Barcelona to reduce their offer for Luis Suárez (-12 million € between the right price and money invested). The same holds true for Chelsea with Diego Costa’s signing (-10 million €). In absolute terms, Mario Balotelli was the most under-paid player (-16 million €).

The full picture for all players transferred for a fee of at least 10 million € (including add-ons) is presented in the 79th edition of the Big-5 Weekly Post. We also kindly remind you that our unique and simple online calculator to estimate the current transfer value of big-5 league players is freely accessible here.

The CIES Football Observatory stays at your disposal for any query or more information. Enjoy the season!

CIES Football Observatory’s statistical model

The CIES Football Observatory academic team has developed an exclusive statistical model to assess the transfer value of players and predict transfer fees. This powerful econometrical model is based on the in-depth analysis of a sample of nearly 1,500 players transferred for a fee from big-5 league teams since the summer transfer window preceding the 2009/10 season. The statistical model developed includes a multitude of variables relating to the following areas: age, length of remaining contract, position, player performance at club level for the most recent and previous seasons, results of the clubs for which players are employed, as well as players’ international experience and results of national team represented.

Groundbreaking player transfer value calculator

The new transfer value calculator uses an algorithm created on the basis of nearly 1,500 fee paying transfers occurred during the previous five years at big-5 league clubs. The exclusive algorithm will continue to be updated after every transfer window to take into account the latest market trends.

More information on the statistical model developed by the CIES Football Observatory academic team and detailed analysis of current big-5 league players is available in the latest edition of the CIES Football Observatory Annual Review. A free excerpt of this publication can be downloaded here.

The scientific analysis of player transfer values perfectly complements the two other main CIES Football Observatory research areas: squad composition and pitch performance. All of these areas of study are of high importance to clubs as they are able to assist in raising performance levels from both a sporting and economic perspective.

Moreover, the transfer value calculator will help to increase the level of transparency in the beautiful game as all stakeholders – from club officials to the general public – will be able to compare actual fees paid to those estimated as the fair transfer value by the calculator.

The CIES Football Observatory academic team is at your disposal for more detailed analysis. Its services notably include the elaboration of scenarios for future transfer values. For more information about our products and services, please contact us at football.observatory@cies.ch

Player Development Ranking for the 2014 World Cup

The ranking takes into account the number of World Cup participants trained per club, as well as the number of league matches played by footballers per team up to the age of 23. This age limit has been set according to FIFA regulations on training indemnities. Training clubs have been defined according to the UEFA definition of at least three years at the club between the ages of 15 and 21.

At the top of the table is Feyenoord Rotterdam. The Dutch team trained 9 players participating in the World Cup. Two other clubs trained as many footballers as Feyenoord: Barcelona and Deportivo Saprissa. However, World Cup participants played 882 matches at Feyenoord until the age of 23, compared to 783 at Barcelona (not including B-team matches) and 445 at Deportivo Saprissa.

At national association level, France tops the table ahead of England and Germany. This is mainly due to the high number of footballers trained in France playing for other national A-teams, notably Africans. This finding also reflects the high employment rate of U23 players in French clubs. In total, 821 clubs in 59 national associations have contributed to the development of World Cup players. The full list of clubs is available here.

We also remind you that the brand new edition of our Annual Review on the five major European leagues is available for sale from the CIES online shop. A free excerpt is available here.

The Football Observatory reveals how to select a winning World Cup squad

The Observatory academic team have selected the following indicators for assessing the potential of the 2014 World Cup participants:

  • League matches during career
  • League matches for the two years preceding the event
  • League goals during career
  • League goals for the two years preceding the event
  • National A-team matches for the two years preceding the event
  • World Cup matches during career

The results for each national team are illustrated through a diagram with green or red boxes. A green box means that the value measured for the team is superior to the minimal figure observed for the last four World Cup finalists for the 11 players with the highest values. If this is not the case, the box is red. The greater the proportion of green boxes, the higher the probability of reaching the final stages of the competition. In the case of a tie, we took into account the number of World Cup matches of national teams during the last four editions.

This approach has also allowed us to predict a hypothetical scenario for the outcome of the competition, suggesting that Spain will beat Brazil in the final, with Argentina in 3rd place and France in 4th position. The full analysis is presented in the World Cup Scenario report.

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