This document provides a summary of the 2013 Annual Review published by the CIES Football Observatory. It analyzes various metrics regarding leagues, clubs, players and economics in the top five European leagues (England, Spain, Germany, Italy, France) during the 2012-2013 season. Some of the key findings highlighted include Lionel Messi having the highest estimated economic value of any player (€217-252 million), Barcelona having the highest total player economic value of any club (€658 million), and Bayern Munich achieving success due to a balanced performance in attack, distribution and defense.
An Analysis Of European Soccer Finances And Their Impact On On-field SuccessLeon Corriea
This document analyzes how analytics can be used to improve the financial decisions that impact on-field success for top European soccer clubs. It identifies the key factors involved in financial decision making - revenue, transfers, wages, and infrastructure. Through analytics, the document assigns importance to each factor and how prioritizing the most impactful areas can maximize on-field success. The future of soccer increasingly relies on the efficient use of analytics for marginal gains across scouting, game preparation, and other areas.
Lionel Messi bleibt trotz einer mäßigen Saison beim FC Barcelona auch 2014 der wertvollste Fußball-Spieler der Welt. Der Argentinier führt mit einem Wert von 216 Million Euro die jährliche Studie des Internationalen Zentrums für Sportstudien (CIES) aus der Schweiz an, einem Joint Venture von FIFA und der Universität Neuchâtel. Auf den Plätzen folgen Weltfußballer Cristiano Ronaldo (Real Madrid/114) und Luis Suárez (FC Liverpool/107). Der Marktwert von David Alaba liegt laut dieser Liste derzeit bei 31,5 Mio. Euro. Der teuerste Außenverteidiger der Welt rangiert damit auf der Liste des FIFA-Institutes auf Rang 51.
Manchester United Independent Business ReviewKarol Stępień
This document provides a 3-sentence summary of a 15-page independent business review of Manchester United Football Club PLC:
The review analyzes the club's history, financial performance, and forecasts, examines the Premier League market and competition, and was conducted by a student for a university case study on managing football clubs like businesses. While focused on Manchester United, the review also discusses key factors in managing professional football clubs and the general market conditions of the football industry. The student authored the review as part of developing expertise in football finance and sought feedback to further his understanding of the exciting sports business sector.
Beyond The Beautiful Game: Inside The Football BusinessGersi Hoffman
This document discusses the business of football and how clubs generate revenue. It outlines three main sources of income for football clubs: gate receipts from stadiums, broadcasting rights from TV deals, and merchandising. Owning their own stadium allows clubs to maximize matchday revenue. Creating a global brand helps clubs increase merchandising sales worldwide. The key is for clubs to develop stable revenue streams and not rely on outside investors.
Las gimnospermas son plantas vasculares y espermatofitas que producen semillas desnudas, sin protección en un ovario. Tienen flores unisexuales masculinas y femeninas separadas, y usan el viento para transportar el polen de las flores masculinas a los óvulos expuestos en los conos femeninos para la fertilización. Una vez fecundados, los óvulos se convierten en semillas desnudas protegidas por la inflorescencia femenina que madura en una piña leñosa para liberar las semillas.
A smart city utilizes information and communication technologies to be more efficient, sustainable and liveable. It excels in economic, mobility, environmental, lifestyle and government areas through strong human capital, social capital and ICT infrastructure. Key smart city features include smart parking, traffic management, tele-care, urban lighting and waste management. The Indian government aims to develop 100 smart cities by allocating 70,600 crore rupees and modernizing existing cities with smart technologies and features.
Hot Typography SMPS Pacific Regional ConferenceDavid Lecours
While most of us were not formally trained as graphic designers, we are increasingly asked to design professional proposals, ads, flyers, and presentations. This Society for Marketing Professional Services, Pacific Regional Conference session is for those who want to raise the heat on their graphic design skills. The molten core of great graphic design is typography. Type must look great in print and on screens. David Lecours is a professional graphic designer who taught Typography at UCLA. He share how to choose the right fonts, setting type to better create persuasive proposals, and slide design for sizzling presentation interviews.
An Analysis Of European Soccer Finances And Their Impact On On-field SuccessLeon Corriea
This document analyzes how analytics can be used to improve the financial decisions that impact on-field success for top European soccer clubs. It identifies the key factors involved in financial decision making - revenue, transfers, wages, and infrastructure. Through analytics, the document assigns importance to each factor and how prioritizing the most impactful areas can maximize on-field success. The future of soccer increasingly relies on the efficient use of analytics for marginal gains across scouting, game preparation, and other areas.
Lionel Messi bleibt trotz einer mäßigen Saison beim FC Barcelona auch 2014 der wertvollste Fußball-Spieler der Welt. Der Argentinier führt mit einem Wert von 216 Million Euro die jährliche Studie des Internationalen Zentrums für Sportstudien (CIES) aus der Schweiz an, einem Joint Venture von FIFA und der Universität Neuchâtel. Auf den Plätzen folgen Weltfußballer Cristiano Ronaldo (Real Madrid/114) und Luis Suárez (FC Liverpool/107). Der Marktwert von David Alaba liegt laut dieser Liste derzeit bei 31,5 Mio. Euro. Der teuerste Außenverteidiger der Welt rangiert damit auf der Liste des FIFA-Institutes auf Rang 51.
Manchester United Independent Business ReviewKarol Stępień
This document provides a 3-sentence summary of a 15-page independent business review of Manchester United Football Club PLC:
The review analyzes the club's history, financial performance, and forecasts, examines the Premier League market and competition, and was conducted by a student for a university case study on managing football clubs like businesses. While focused on Manchester United, the review also discusses key factors in managing professional football clubs and the general market conditions of the football industry. The student authored the review as part of developing expertise in football finance and sought feedback to further his understanding of the exciting sports business sector.
Beyond The Beautiful Game: Inside The Football BusinessGersi Hoffman
This document discusses the business of football and how clubs generate revenue. It outlines three main sources of income for football clubs: gate receipts from stadiums, broadcasting rights from TV deals, and merchandising. Owning their own stadium allows clubs to maximize matchday revenue. Creating a global brand helps clubs increase merchandising sales worldwide. The key is for clubs to develop stable revenue streams and not rely on outside investors.
Las gimnospermas son plantas vasculares y espermatofitas que producen semillas desnudas, sin protección en un ovario. Tienen flores unisexuales masculinas y femeninas separadas, y usan el viento para transportar el polen de las flores masculinas a los óvulos expuestos en los conos femeninos para la fertilización. Una vez fecundados, los óvulos se convierten en semillas desnudas protegidas por la inflorescencia femenina que madura en una piña leñosa para liberar las semillas.
A smart city utilizes information and communication technologies to be more efficient, sustainable and liveable. It excels in economic, mobility, environmental, lifestyle and government areas through strong human capital, social capital and ICT infrastructure. Key smart city features include smart parking, traffic management, tele-care, urban lighting and waste management. The Indian government aims to develop 100 smart cities by allocating 70,600 crore rupees and modernizing existing cities with smart technologies and features.
Hot Typography SMPS Pacific Regional ConferenceDavid Lecours
While most of us were not formally trained as graphic designers, we are increasingly asked to design professional proposals, ads, flyers, and presentations. This Society for Marketing Professional Services, Pacific Regional Conference session is for those who want to raise the heat on their graphic design skills. The molten core of great graphic design is typography. Type must look great in print and on screens. David Lecours is a professional graphic designer who taught Typography at UCLA. He share how to choose the right fonts, setting type to better create persuasive proposals, and slide design for sizzling presentation interviews.
This document compares various projects and their agility, with some projects having issues like failed builds, production downtime, and few tests, while others have recent releases, passing builds, production uptime, and large test coverage, indicating higher agility. It also lists tools like SVN, CI, and analytics websites that can help provide metrics and insights into agile practices for different projects.
The document provides guidance on effective communication techniques. It advises that speaking clearly with varied pitch keeps listeners interested. Using visual aids like PowerPoint or videos can help engage audiences who prefer visual learning styles. Good body language like open gestures helps convey meaning, while poor body language like folded arms creates barriers. Structuring writing in paragraphs, checking spelling, and proofreading can help ensure clear communication.
El documento describe el proceso de germinación de una semilla de girasol. Se realizó un experimento para observar el desarrollo de la semilla durante 12 días, desde el 27 de noviembre hasta el 8 de diciembre. Se plantó una semilla en una maceta con tierra y se realizaron observaciones diarias. Al cuarto día, la semilla comenzó a germinar y emergió una pequeña planta de color verde. El documento también explica los requerimientos básicos para el crecimiento de las plantas y dos métodos para ger
This review examines the effects of different strength training methods on soccer player performance. It analyzes 24 studies involving 523 soccer players. The review finds that strength training improves both physiological and physical measures related to high-level soccer performance. Specifically, it concludes that strength and power training programs should target the entire force-velocity spectrum of the neuromuscular system using various exercises and loads. Additionally, due to the concurrent aerobic and strength demands of soccer, combined high-intensity strength and endurance training may enhance overall player performance.
Athens week - regulation in telecommunicationsDavid Nowinsky
This document discusses investment opportunities in the regulated information and communications technology (ICT) sector. It notes that the global ICT market was worth $5 trillion in 2011. Regulations are in place to protect consumers, encourage competition, and push technological development, while also harmonizing rules across the European Union. Regulation ensures a good start for the sector, provides an established framework, and allows new structures and companies to operate with more flexibility as the market evolves. Overall, regulation creates a stable environment that is favorable for investments in new ICT businesses.
This document provides highlights and summaries from the 2011 European Club Licensing Benchmarking Report. Some of the key highlights included:
- 53 out of 53 UEFA member associations had at least one club participating in UEFA club competitions. Around 30,000 people are employed on a full-time basis by clubs competing in UEFA competitions.
- Financial fair play is having an impact, with overdue transfer and wage debts decreasing by 68% between 2011 and 2012. Around half of clubs competing in UEFA competitions would have been exempt from full break-even requirements due to their size.
- Domestic European football had 726 clubs across 52 top divisions last season. Average head coach tenure is 1.5 years while average player contracts last
Dokumen tersebut membahas pengamalan Pancasila dalam pembangunan nasional Indonesia. Ada 5 poin utama pengamalan Pancasila, yaitu (1) pengamalan sila Ketuhanan Yang Maha Esa, (2) kemanusiaan yang beradab, (3) persatuan Indonesia, (4) kerakyatan yang dipimpin oleh hikmat kebijaksanaan, dan (5) keadilan sosial bagi seluruh rakyat. Tujuan akhir pembangunan nasional adalah mencap
The document discusses human rights and duties as outlined in the Indian Constitution. It describes several key rights such as:
- Right to equality, freedom of speech, religious freedom, education, and constitutional remedies.
- Prohibition of practices like trafficking, child labor, untouchability.
- Duties of citizens include abiding by the constitution, promoting national harmony, striving for excellence.
However, it questions whether these rights are truly upheld given examples like a girl jailed for comments on social media and thousands of children working in factories, suggesting some rights are being violated.
This paper describes the machine learning model created to predict the standings of the "Big 6" teams in the premier league solely based on their financial background. The aim of the project was to learn more about the financial aspect of Soccer which is usually not talked about a lot.
The document discusses how football analytics has grown from early pioneers manually collecting data to modern clubs forming dedicated data science teams to gain competitive advantages in scouting, performance analysis, player development, and injury prevention. It provides examples of how clubs like Brentford, FC Midtjylland, and Liverpool have successfully utilized analytics to identify and develop talent more efficiently than their competitors. The future of football analytics is promising as data collection and analysis technologies continue to rapidly advance.
Европейские футбольные клубы в 2016 годуmResearcher
This document provides an overview and analysis of the European club football landscape based on data from the 2016 financial year. It covers various topics related to domestic competitions, supporters, ownership, sponsorship, transfers, wages, profitability, and balance sheets. Some of the key findings presented include that European clubs together generated the highest operating profits before transfers in history in 2016 and nearly 10% annual revenue growth. Club investments in stadiums and infrastructure exceeded €1 billion for the first time. However, the report also notes increasing financial polarization, with the top 12 clubs generating a dramatic increase in commercial revenues that is more than double the combined increase of all other European clubs.
Top 20 Under 21 Football Value Index by Prime Time Sport for SoccerexPrime Time Sport
The document provides an analysis of the top 20 most valuable soccer players under the age of 21 as of summer 2015 according to Prime Time Sport's Football Value Index methodology. It lists each player's name, team, nationality, national team level, position, age, and valuation in Euros. Several graphics show breakdowns of player values and locations by country. The introduction explains that the report aims to provide insight into the burgeoning market for young soccer talents and their valuations.
This document analyzes the implementation of UEFA's Financial Fair Play regulations using Manchester United as a case study. It examines Manchester United's financial statements from 2010-2013 and finds that the club was able to meet UEFA's standards. However, the club's high salaries and debt in relation to profitability and solvency need to be considered. UEFA introduced Financial Fair Play rules in 2011-2012 to reduce unreasonable club spending and prevent huge debt levels, ensuring funding comes from the club's own financial resources.
This document provides a literature review for a research project on the finances of lower league English football clubs in League Two and the Conference Premier. It summarizes literature related to economics, history, wages, sport management, governance, financial fair play, and football finance. The review finds that football clubs struggle to translate revenue into profits due to the need to maintain competitive balance. It discusses theories around profit maximization vs win maximization and compares the open European football model to the closed North American system. Overall, the literature review establishes the background and themes that will be analyzed regarding the financial sustainability of lower league English football clubs.
This report examines equalization policies in the AFL, EPL, and NRL to determine if they level the playing field. In the EPL, wealthy owners invest heavily in players, giving financial advantages to some clubs. The NRL implements salary caps and funding models. The AFL uses salary caps, draft orders, and priority picks. While these policies aim to equalize competition, loopholes remain that allow financial advantages. More strategies are still needed to ensure fair and interesting competition across clubs.
Sources of funding for football clubs in the european market Nicolò Guberti
This document discusses sources of funding for European football clubs. It begins by outlining the evolution of club financing models from early reliance on ticket sales, subsidies and sponsorships (SSSL model) to increased revenues from media rights, commercial activities, and globalization (MCMMG model). The main goals and assets of football clubs are also described. The document then analyzes various internal and external sources of financing for clubs, including revenues from matchday activities, broadcasting rights, commercial activities, and player trading. It also discusses debt financing options for clubs such as loans, bonds, and structured finance transactions, noting the risks involved. An example is provided of Goldman Sachs and Bank of America Merrill Lynch providing a £400 million loan to
This document summarizes the 2015-2016 season review from Brandtix Sports, which provides brand value indexing for sports teams and athletes. Some of the key findings include:
1) Leicester City saw the largest increase in social media fans over the past three months of any Premier League club, gaining 4.2 million new fans.
2) Barcelona and Real Madrid dominated the top European teams brand value rankings, combining for 39% of the total social media following of the top 20 clubs.
3) Cristiano Ronaldo has the highest individual brand value and social media following of any player, with over 211 million fans across platforms.
This document compares various projects and their agility, with some projects having issues like failed builds, production downtime, and few tests, while others have recent releases, passing builds, production uptime, and large test coverage, indicating higher agility. It also lists tools like SVN, CI, and analytics websites that can help provide metrics and insights into agile practices for different projects.
The document provides guidance on effective communication techniques. It advises that speaking clearly with varied pitch keeps listeners interested. Using visual aids like PowerPoint or videos can help engage audiences who prefer visual learning styles. Good body language like open gestures helps convey meaning, while poor body language like folded arms creates barriers. Structuring writing in paragraphs, checking spelling, and proofreading can help ensure clear communication.
El documento describe el proceso de germinación de una semilla de girasol. Se realizó un experimento para observar el desarrollo de la semilla durante 12 días, desde el 27 de noviembre hasta el 8 de diciembre. Se plantó una semilla en una maceta con tierra y se realizaron observaciones diarias. Al cuarto día, la semilla comenzó a germinar y emergió una pequeña planta de color verde. El documento también explica los requerimientos básicos para el crecimiento de las plantas y dos métodos para ger
This review examines the effects of different strength training methods on soccer player performance. It analyzes 24 studies involving 523 soccer players. The review finds that strength training improves both physiological and physical measures related to high-level soccer performance. Specifically, it concludes that strength and power training programs should target the entire force-velocity spectrum of the neuromuscular system using various exercises and loads. Additionally, due to the concurrent aerobic and strength demands of soccer, combined high-intensity strength and endurance training may enhance overall player performance.
Athens week - regulation in telecommunicationsDavid Nowinsky
This document discusses investment opportunities in the regulated information and communications technology (ICT) sector. It notes that the global ICT market was worth $5 trillion in 2011. Regulations are in place to protect consumers, encourage competition, and push technological development, while also harmonizing rules across the European Union. Regulation ensures a good start for the sector, provides an established framework, and allows new structures and companies to operate with more flexibility as the market evolves. Overall, regulation creates a stable environment that is favorable for investments in new ICT businesses.
This document provides highlights and summaries from the 2011 European Club Licensing Benchmarking Report. Some of the key highlights included:
- 53 out of 53 UEFA member associations had at least one club participating in UEFA club competitions. Around 30,000 people are employed on a full-time basis by clubs competing in UEFA competitions.
- Financial fair play is having an impact, with overdue transfer and wage debts decreasing by 68% between 2011 and 2012. Around half of clubs competing in UEFA competitions would have been exempt from full break-even requirements due to their size.
- Domestic European football had 726 clubs across 52 top divisions last season. Average head coach tenure is 1.5 years while average player contracts last
Dokumen tersebut membahas pengamalan Pancasila dalam pembangunan nasional Indonesia. Ada 5 poin utama pengamalan Pancasila, yaitu (1) pengamalan sila Ketuhanan Yang Maha Esa, (2) kemanusiaan yang beradab, (3) persatuan Indonesia, (4) kerakyatan yang dipimpin oleh hikmat kebijaksanaan, dan (5) keadilan sosial bagi seluruh rakyat. Tujuan akhir pembangunan nasional adalah mencap
The document discusses human rights and duties as outlined in the Indian Constitution. It describes several key rights such as:
- Right to equality, freedom of speech, religious freedom, education, and constitutional remedies.
- Prohibition of practices like trafficking, child labor, untouchability.
- Duties of citizens include abiding by the constitution, promoting national harmony, striving for excellence.
However, it questions whether these rights are truly upheld given examples like a girl jailed for comments on social media and thousands of children working in factories, suggesting some rights are being violated.
This paper describes the machine learning model created to predict the standings of the "Big 6" teams in the premier league solely based on their financial background. The aim of the project was to learn more about the financial aspect of Soccer which is usually not talked about a lot.
The document discusses how football analytics has grown from early pioneers manually collecting data to modern clubs forming dedicated data science teams to gain competitive advantages in scouting, performance analysis, player development, and injury prevention. It provides examples of how clubs like Brentford, FC Midtjylland, and Liverpool have successfully utilized analytics to identify and develop talent more efficiently than their competitors. The future of football analytics is promising as data collection and analysis technologies continue to rapidly advance.
Европейские футбольные клубы в 2016 годуmResearcher
This document provides an overview and analysis of the European club football landscape based on data from the 2016 financial year. It covers various topics related to domestic competitions, supporters, ownership, sponsorship, transfers, wages, profitability, and balance sheets. Some of the key findings presented include that European clubs together generated the highest operating profits before transfers in history in 2016 and nearly 10% annual revenue growth. Club investments in stadiums and infrastructure exceeded €1 billion for the first time. However, the report also notes increasing financial polarization, with the top 12 clubs generating a dramatic increase in commercial revenues that is more than double the combined increase of all other European clubs.
Top 20 Under 21 Football Value Index by Prime Time Sport for SoccerexPrime Time Sport
The document provides an analysis of the top 20 most valuable soccer players under the age of 21 as of summer 2015 according to Prime Time Sport's Football Value Index methodology. It lists each player's name, team, nationality, national team level, position, age, and valuation in Euros. Several graphics show breakdowns of player values and locations by country. The introduction explains that the report aims to provide insight into the burgeoning market for young soccer talents and their valuations.
This document analyzes the implementation of UEFA's Financial Fair Play regulations using Manchester United as a case study. It examines Manchester United's financial statements from 2010-2013 and finds that the club was able to meet UEFA's standards. However, the club's high salaries and debt in relation to profitability and solvency need to be considered. UEFA introduced Financial Fair Play rules in 2011-2012 to reduce unreasonable club spending and prevent huge debt levels, ensuring funding comes from the club's own financial resources.
This document provides a literature review for a research project on the finances of lower league English football clubs in League Two and the Conference Premier. It summarizes literature related to economics, history, wages, sport management, governance, financial fair play, and football finance. The review finds that football clubs struggle to translate revenue into profits due to the need to maintain competitive balance. It discusses theories around profit maximization vs win maximization and compares the open European football model to the closed North American system. Overall, the literature review establishes the background and themes that will be analyzed regarding the financial sustainability of lower league English football clubs.
This report examines equalization policies in the AFL, EPL, and NRL to determine if they level the playing field. In the EPL, wealthy owners invest heavily in players, giving financial advantages to some clubs. The NRL implements salary caps and funding models. The AFL uses salary caps, draft orders, and priority picks. While these policies aim to equalize competition, loopholes remain that allow financial advantages. More strategies are still needed to ensure fair and interesting competition across clubs.
Sources of funding for football clubs in the european market Nicolò Guberti
This document discusses sources of funding for European football clubs. It begins by outlining the evolution of club financing models from early reliance on ticket sales, subsidies and sponsorships (SSSL model) to increased revenues from media rights, commercial activities, and globalization (MCMMG model). The main goals and assets of football clubs are also described. The document then analyzes various internal and external sources of financing for clubs, including revenues from matchday activities, broadcasting rights, commercial activities, and player trading. It also discusses debt financing options for clubs such as loans, bonds, and structured finance transactions, noting the risks involved. An example is provided of Goldman Sachs and Bank of America Merrill Lynch providing a £400 million loan to
This document summarizes the 2015-2016 season review from Brandtix Sports, which provides brand value indexing for sports teams and athletes. Some of the key findings include:
1) Leicester City saw the largest increase in social media fans over the past three months of any Premier League club, gaining 4.2 million new fans.
2) Barcelona and Real Madrid dominated the top European teams brand value rankings, combining for 39% of the total social media following of the top 20 clubs.
3) Cristiano Ronaldo has the highest individual brand value and social media following of any player, with over 211 million fans across platforms.
Non-league football clubs in England have suffered financially due to lack of exposure and backing, while professional leagues have seen opposite results. There are many potential revenue streams in non-league football that have not been fully exploited. A report found that 8 clubs, or one in nine, in the Championship and Leagues One and Two are in serious financial distress, a 33% increase from the previous report. Heraldstone has evaluated revenue sources for top European clubs like Barcelona and aims to partner with non-league clubs to transform them into financial powerhouses through exploiting untapped revenue streams.
The document examines goal scoring statistics from the top six European football leagues. It proposes using standardized performance measures (SIPM) that account for differences between leagues, like average goals scored. This facilitates cross-league comparisons by putting player performances on a common scale. It argues the role of a goalscorer should consider more than just goals, such as assists, passes leading to goals, and contributions to teammates' scoring. Additional subtle measures could provide a more expansive view of a player's overall impact on goal scoring.
Optiver is an international trading firm headquartered in Amsterdam that was founded in 1984. They employ over 700 people across four continents. The interview discusses Optiver's recruitment process and what they look for in candidates. Optiver's team lead for recruitment, Lianne Middeldorp, notes that they hire graduates from a variety of educational backgrounds and seek people with strong problem solving, communication, and learning skills. Optiver offers training programs to help new hires learn trading and provides opportunities for career growth.
Анализ основан на балансовых и годовых отчетах, публикуемых клубами, а также на других авторитетных источниках информации, таких как УЕФА, The Financial Times, Bloomberg, Yahoo Finance, Forbes, Transfermarkt и Hoovers. Для этого издания анализируемый финансовый год был 2017-18.
The Sports Business Group at Deloitte’s Annual Review of Football Finance is the only study of its kind, analysing the financial situation of football for the 2011/12 season and providing pointers to future performance.
Find out more at http://www.deloitte.co.uk/arff
The document discusses fan loyalty and attendance rates in Russian and European football leagues. It notes that average matchday sales as a percentage of total revenues are much lower in Russian clubs compared to top European leagues. Low attendance in Russia can be partly explained by a lack of modern stadiums. However, getting a new stadium does not guarantee higher attendance long-term, as seen with FC Locomotive whose attendance declined after initial years in their new stadium. Russian clubs need to treat fans as valuable consumers and focus on better understanding fan satisfaction to increase revenues and loyalty over time.
1. Manchester United remains the world's most valuable football brand, worth $1.17 billion, despite a weak season on the pitch.
2. Leicester City had the fastest growing brand value after their unexpected Premier League title, up 132% to $237 million and 16th overall.
3. Real Madrid's brand value grew 32% to $1.148 billion after another Champions League title, closing the gap on Manchester United for the top spot.
Football Transfer Review 2010 Ediçao Brasil- English versionPrime Time Sport
The document provides an overview of football transfers in Europe and Brazil in 2010/11. Some key highlights include:
- Total spending by top 5 European leagues on player acquisitions declined 29% to €1.3 billion, driven by decreases at Real Madrid and Barcelona.
- La Liga saw the largest spending drop among top leagues but also generated the most revenue from player sales.
- Brazilian league revenues and transfer spending increased, with Palmeiras spending over €24 million on new players.
- Top Brazilian clubs like Corinthians, Internacional and Sao Paulo generated the most revenue.
Beyond Bosman | The end of all transfer fees in European footballMonty_FIFPro
The document discusses the impact of abolishing transfer fees in European football. It argues that transfer fees should be eliminated for several reasons: they do not exist in other industries; they raise ethical issues; and they result in unequal player salaries. The document also proposes a youth training compensation system as an alternative that would reward teams for developing young players, without relying on transfer fees. This system is argued to improve competitive balance and increase overall spending on player talent and salaries.
Turkey UEFA Euro 2024 Journey A Quest for Redemption and Success.docxEticketing.co
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Here are our Euro 2024 predictions for the group stages
Will England make it through the group stages?, Will Germany use the home advantage to full effect?
Follow our progress, see how many we get right
If you want to join in let us know before the first game kick off and we can invite you to our private league
or join in with our friends at DeeperThanBlue
https://www.linkedin.com/posts/activity-7204868572995538944-qejG
https://www.selectdistinct.co.uk/2024/06/13/euro-2024-match-predictions/
#EURO2024 #Germany2024 #England #EURO2024predictions
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Luciano Spalletti Leads Italy's Transition at UEFA Euro 2024.docxEuro Cup 2024 Tickets
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Euro 2024 Belgium's Rebirth the New Generation Match the Golden Era.docxEticketing.co
The Golden Group is over. Can a new group step up? Two years ago, Kevin De Bruyne plunged Belgium’s Euro 2024 plans into disorder when he claimed the team was “too old” to win in an interview with The Protector. That Belgian squad had 10 players over 30 and the maximum average age of any Euro Cup 2024 team at the competition. A group-stage exit and just one goal at the World Cup put Belgium on course for a restructure.
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Coach Domenico Tedesco has managed a tactical shakeup and a regular exit for some of the oldest players. Experienced bests remain, not least the 37-year-old Jan Vertonghen in defense, the 32-year-old De Bruyne himself in midfield, and 31-year-old Romelu Lukaku up visible.
Still, younger actors like De Bruyne’s Manchester City partner Jeremy Doku bring fresh vitality to the team. Euro Cup Germany Qualifying unbeaten with just four goals allowed from eight games was a welcome sign of accomplishment back on track under Tedesco.
The only other squad in Group E besides Belgium to UEFA Euro 2024 qualify unbeaten, Romania was awestruck by winning a group that also checked Switzerland and Israel. Still, Euro 2024 will test a squad sorely lacking in top-level skill.
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3. Annual Review 2013 3
The CIES Football Observatory is a unique project initiated in 2005 by
Drs Raffaele Poli and Loïc Ravenel under the name of the Professional
Football Players Observatory (PFPO). Since 2011, it is one of the cor-
nerstones of the broader Sports Observatory project, dedicated to the
statistical analysis of sport in all its diversity.
The Sports Observatory employs a permanent team of five researchers:
the two founders, Dr Roger Besson, Andrea Pessina and Elias Geor-
giou. During the first semester of 2013, mandates were carried out for
prestigious sports governing bodies such as FIFA, UEFA, IOC, IIHF and
FIBA.
Two annual reports are published for football. In January, the Demo-
graphic Study presents an in-depth analysis of club composition and
players characteristics in 31 top division leagues of UEFA member
countries. In June, the Annual Review analyses clubs and players in
the big-5 European leagues from a demographic, economic and pitch
performance perspective.
Methodological rigour coupled with a deep knowledge of football gua-
rantee high quality analyses at competitive rates.
CIES Football Observatory
OptaPro
Powered by the most comprehensive and detailed databases in sport,
OptaPro has developed a suite of analytical products and services that
help professional clubs fine tune their performances, proficiently scout
their opponents and effectively recruit new talent. By utilising expertise
built up over two decades of sports data collection, OptaPro’s exten-
sive and consistent dataset combined with advanced analytical products
helps club professionals work more efficiently and make smarter deci-
sions more quickly.
4. Annual Review 2013 4
Times are changing. Traditional printed publications tend to be replaced
by more flexible, interactive, easily diffusible and updateable docu-
ments. The CIES Football Observatory also innovates by anticipating
the publication of its Annual Review, which usually comes out in Sep-
tember. The eighth edition is composed of four chapters reviewing the
2012/13 season of the big-5 European leagues.
The first chapter compares leagues according to the thematic areas of
competitive balance, home advantage and pitch production. It notably
reveals that the spread in points between clubs within a league showed
an overall increase over the last decade. In each championship ana-
lysed, transfer fees spent by clubs to make up their squad are strongly
correlated to results achieved. This should be food for thought for foot-
ball governing bodies at national and international level.
The second chapter compares clubs according to the age structure of
players, length of contract remaining and pitch performances. This latter
aspect is analysed from the brand new perspective of three complemen-
tary indicators: grip on the game, attacking incisiveness and defensive
solidity. It notably shows that the key success factor for Bayern Munich
last season was the perfect balance between these three areas of the
game. Coaches and technical personnel of teams should find this wor-
thy of interest.
The third chapter highlights the most productive players for five key per-
formance indicators: shooting, chance creation, take on, distribution and
recovery. The general index ranks footballers according to their impact
on the global performances of their team. The analysis of players’ pro-
ductivity with respect to teammates allows us to bring to the fore skills of
very promising talents such as, among other players, Idrissa Gueye, Hi-
roshi Kiyotake and Josip Iličić. This should attract the attention of sports
directors and scouts.
To conclude, the fourth chapter discloses for the first time the econo-
mic value of big-5 league players using our exclusive econometric mo-
del. The latter is based on the detailed analysis of the characteristics of
players transferred by big-5 league clubs since the 2009/10 season. The
development of such a statistical model marks a crucial step in the CIES
Football Observatory’s evolution. This should whet the appetite of lea-
ding actors of the football industry such club officials, agents, journalists,
bankers, investors, courts, etc.
If you want to know to what extent the pitch production in England is
different compared to Italy, assess the strengths and weaknesses of
your favourite team, detect the most decisive players or have an ob-
jective estimate of the economic value of big-5 league footballers, this
publication is for you!
Raffaele Poli, Head of the CIES Football Observatory
Foreword
5. Annual Review 2013 5
Sample
Sample definition: players fielded during the season and
unused first-team squad members who played in adult
leagues during the seasons 2010/11 and 2011/12.
Expatriates: players employed by a club outside of the
national association in which they began playing, from
where they departed for football-related reasons. Welsh
and English players in Swansea are not considered as
expatriates.
8
8
14
5
12
17
14
17
13
6
8
23
14
22
8
16
15
17
19
20
16
20
14
24
17
13
16
13
17
24
23
9
18
10
25
17
19
17
16
19
Everton
Chelsea
Stoke City
Arsenal
West Bromwich
Southampton
Man. United
Swansea
West Ham
Wigan
Man. City
Norwich
Aston Villa
Reading
Fulham
Liverpool
Newcastle
Tottenham
Sunderland
QPR
24
28
28
29
29
30
30
30
30
30
31
32
32
32
33
33
34
34
35
39
Expatriates
Nationals
55.7%
44.3%
Premier League
17
17
10
25
19
15
14
24
10
21
18
22
16
17
14
18
25
17
25
23
6
7
14
1
8
12
14
5
19
8
11
7
14
13
17
13
6
14
8
12
Real Sociedad
Valladolid
Valencia
Athletic Bilbao
Barcelona
Espanyol
Atlético Madrid
Getafe
Málaga
Celta Vigo
Mallorca
Rayo Vallecano
Granada
Levante
Real Madrid
Sevilla
Osasuna
La Coruña
Betis
Zaragoza
23
24
24
26
27
27
28
29
29
29
29
29
30
30
31
31
31
31
33
35
Expatriates
Nationals
36.3%
63.7%
Liga
19
15
21
19
22
18
20
18
20
24
25
22
21
27
17
20
25
25
25
31
6
11
6
9
6
10
9
12
10
6
5
8
10
4
15
12
8
9
10
4
Toulouse
Lille
Reims
St-Etienne
Montpellier
Bordeaux
Marseille
Evian Thonon
Sochaux
Ajaccio
Troyes
Valenciennes
Nancy
Bastia
Paris SG
Rennes
Lorient
Lyon
Nice
Brest
25
26
27
28
28
28
29
30
30
30
30
30
31
31
32
32
33
34
35
35
Expatriates
Nationals
28.1%
71.9%
Ligue 1
13
19
12
11
18
14
12
17
14
17
19
14
16
20
17
10
26
23
11
6
13
15
9
13
15
11
15
12
10
16
15
11
15
26
11
16
M'gladbach
Leverkusen
Bayern
Hamburg
Dortmund
Nürnberg
Hannover
Bremen
Schalke 04
Frankfurt
Mainz
Stuttgart
Augsburg
Freiburg
Düsseldorf
Wolfsburg
Fürth
Hoffenheim
24
25
25
26
27
27
27
28
29
29
29
30
31
31
32
36
37
39
Expatriates
Nationals
45.1%
54.9%
Bundesliga
7
15
15
18
12
12
10
12
19
15
21
10
20
17
26
15
14
19
29
27
19
12
15
12
18
19
23
22
15
19
14
27
17
21
12
23
24
20
15
17
Roma
Cagliari
Napoli
Juventus
Sampdoria
Catania
Fiorentina
Udinese
Bologna
Milan
Torino
Internazionale
Genoa
Chievo Verona
Atalanta
Palermo
Lazio
Parma
Pescara
Siena
26
27
30
30
30
31
33
34
34
34
35
37
37
38
38
38
38
39
44
44
Expatriates
Nationals
52.2%
47.8%
Serie A
6. Annual Review 2013 6
Highlights
The analysis of the economic value of big-5 league players reveals that
Lionel Messi would largely break the 94-million euro transfer fee record.
Estimated on the basis of an exclusive econometric model, his value is
between 217 and 252 million euro. With an estimated value between
102 and 118 million, Cristiano Ronaldo would also break his own record.
With only two seasons of contract remaining and aged 28, Real Madrid
probably has the last opportunity to sell him at a profit. This makes his
transfer more probable than that of Messi. The list of the players with the
highest economic value is presented on pages 83 and 86.
At club level, our analysis shows that Barcelona holds the greatest as-
sets from a player economic value perspective: 658 million euro. This
figure is three times higher than that spent on signing the players used
during the 2012/13 season. This reflects the extraordinary ability of the
Catalan side to train, launch and add value to home-grown players. The
second club in terms of players’ economic value is Real Madrid: 500
million euro. This figure is 7 million lower than that spent to recruit last
season squad members. The full list of players’ economic value per club
is to be found on pages 73 to 82.
Lionel Messi is not only the most expensive big-5 league player, but also
the most decisive one for the 2012/13 season. The ranking is based on
the performances for five key indicators: shooting, chance creation, take
on, distribution and recovery. The Argentinean outranks Champions
League winner Franck Ribéry and Cristiano Ronaldo. The most decisive
young player was Mario Götze. The new Bayern Munich signing is fol-
lowed by two very promising Belgian footballers belonging to Chelsea:
Kevin de Bruyne and Romelu Lukaku. They definitively both deserve to
have a chance to play for the London club.
Our analysis also highlights the best performing players compared to
teammates. This notably allows us to identify underestimated footballers
in bottom and middle-ranked teams. For example, no player in Germany
has had a greater impact on the performances of his team than Szabolcs
Huszti (Hannover). The other best performing footballers compared to
teammates were Romelu Lukaku in England, Gaëtan Courtet in France
and Josip Iličić in Italy. In Spain, Lionel Messi also tops this ranking. This
confirms that the Argentinean superstar is really unique. The rankings of
the best performing players are presented on pages 54 to 69.
The performance analysis at club level shows that Bayern Munich’s fan-
tastic season was the result of the unmatched balance between attack,
distribution and defence. The Champions League winner tops the Ger-
man Bundesliga rankings for the three key team performance indicators
covered by our analysis: defensive solidity, grip on the game and at-
tacking incisiveness. No other champion was able to do so.
While Juventus and Paris St-Germain outranked their rivals above all
due to their greater defensive solidity, Manchester United’s league title
was mainly the result of greater attacking incisiveness. Finally, Barcelo-
na’s victory is primarily related to its incomparable strength in keeping a
grip on the game. Club performance analyses are to be found on pages
33 to 51.
Big-5 league clubs not only differentiate themselves by their pitch per-
formances, but also for squad management policies. The best perfor-
ming clubs usually sign longer contracts with their players. The average
length of contract remaining varies from 38.9 months at Liverpool to
only 6.2 for Siena. Long-term squad management policies were a key
factor for the top level results achieved by clubs such as Real Socie-
dad, Udinese, Bayer Leverkusen and Southampton. Conversely, teams
such as Fulham, Rayo Vallecano, Bastia, Hannover and Bologna will
probably struggle to maintain good performance standards next season.
7. Annual Review 2013 7
Big-5 league teams also have divergent strategies concerning players’
age. German Bundesliga clubs fielded players aged 25.7 on average.
At the opposite end of the table is Italy (27.4). The highest percentage
of minutes played by U22 footballers was measured for Sochaux (33%).
Conversely, five clubs never fielded players in this age category (Norwich,
Stoke, West Ham, Valladolid and Osasuna). The average age of players
fielded varies from 30.5 years at Fulham to 24.2 for Aston Villa and Tou-
louse. The average age on the pitch for all champions was approximately
27 years (from 26.2 for Bayern to 27.9 for Juventus). The analyses on
age structure and contract policies are presented on pages 25 to 32.
The comparison of leagues according to pitch production reveals the
particularity of the French top division. Ligue 1 teams both score and
shoot the least. This holds true regardless of shots on target, off target
and blocked. French clubs also make the least passes and tackles. All
these figures reflect the lower intensity of games in France. The gaps
between the four other major European championships are lower. Our
analysis also shows that teams make more shots and passes in Cham-
pions League group stage matches than at big-5 league level. This
confirms the excellence of this competition. More information is to be
found on pages 20 to 23.
The analysis of home advantage over the last decade indicates that the
percentage of home wins was higher in Latin countries than in England
and Germany. Generally speaking, the proportion of away wins is in-
creasing to the detriment of that of draws. Only in France and Italy, do
the latter still tend to be more numerous than the former. In 2012/13,
only five clubs out of 98 achieved more points away than at home: four
in Germany (Fürth, Wolfsburg, Stuttgart, Bayern Munich), one in En-
gland (Aston Villa) and none in Spain, France and Italy. Home advan-
tage analyses are presented on pages 13 to 19.
Finally, the study investigates the evolution in competitive balance within
leagues since 2003/04. With the exception of Italy, point gaps between
teams are on the increase. This trend is particularly marked in Spain and
Germany. During last decade, the three most successful clubs achieved
more than 60% of podium ranks in all the leagues, up to 80% in Spain
and England (24 out of 30). Moreover, the two most successful teams
won at least 60% of the last 10 league titles in all championships, up
to 90% in Spain. All these figures reveal the persistent domination of a
handful of clubs in the five major European leagues.
In 2012/13, money spent in transfer fees to sign first team players was
highly correlated to club results in all the leagues. All the champions
were the biggest (Paris St-Germain and Bayern Munich), second big-
gest (Barcelona and Juventus) or third biggest (Manchester United)
spenders in their respective league. This confirms the strong influence
of money on success. Without new regulatory mechanisms to improve
income distribution, competitive balance will be further jeopardised by
the transformation of top level clubs into global brands, their regular
participation in the increasingly lucrative Champions League and invest-
ments made by wealthy owners. The analysis of competitive balance is
to be found on pages 9 to 12.
8. Annual Review 2013 8
Part 1
League comparison
Competitive balance
Home advantage
pitch production
9. Annual Review 2013 12
R² = 60%
0.0
1.0
2.0
3.0
1 10 100
Pointspermatch
Transfer fees (million €)
500
500
R² = 32%
0.0
1.0
2.0
3.0
1 10 100
Pointspermatch
Transfer fees (million €)
0.0
1.0
2.0
3.0
1 10 100
Pointspermatch
Transfer fees (million €)
500
R² = 42%
0.0
1.0
2.0
3.0
1 10 100
Pointspermatch
Transfer fees (million €)
500
R² = 46%
0.0
1.0
2.0
3.0
1 10 100
Pointspermatch
Transfer fees (million €)
500
R² = 50%
Competitive Balance
Highest transfer
expenditure for
squad members
Premier League
Value (million €) Rank 12/13
1. Real Madrid (ESP) 507.3 2nd
2. Manchester City (ENG) 442.0 2nd
3. Chelsea (ENG) 396.0 3rd
4. Manchester United (ENG) 343.2 1st
5. Paris St-Germain (FRA) 290.5 1st
6. Liverpool (ENG) 265.7 7th
7. FC Barcelona (ESP) 228.8 1st
8. FC Bayern München (GER) 228.3 1st
9. Internazionale Milano (ITA) 204.6 9th
10. Arsenal (ENG) 197.2 4th
Liga Ligue 1
Bundesliga Serie A
In all big-5 leagues, the transfer expenditure of clubs is highly correlated to results. In England, the money spent in transfer fees
to sign first team squad members accounted for 60% of the gaps in points between teams. This percentage is at least 32% in
all the championships. Five English clubs are among the 10 teams that spent the most on recruiting players employed during
the 2012/13 season. However, the biggest spender overall was Real Madrid: 507 million euro. This figure is more than twice
as high as that of title winner Barcelona. Manchester City also invested more to make up its squad than English champion
Manchester United. The same holds true for Inter compared to Juventus. The two remaining champions were the top spenders
in their respective league: Paris St-Germain and Bayern Munich. These data confirm the strong influence of money on success.
Transfer expenditure and points per match (2012/13)
Value (million €) Rank 12/13
11. Juventus (ITA) 179.9 1st
12. Tottenham Hotspur (ENG) 178.1 5th
13. Olympique Lyonnais (FRA) 136.5 3rd
14. SSC Napoli (ITA) 134.7 2nd
15. Milan AC (ITA) 113.3 3rd
16. VfL Wolfsburg (GER) 113.2 11th
17. Atlético de Madrid (ESP) 111.1 3rd
18. SS Lazio (ITA) 110.1 7th
19. Aston Villa (ENG) 105.9 15th
20. Sunderland (ENG) 104.2 17th
10. Annual Review 2013 24
Part 1I
Club comparison
Age structure
Contract policy
Pitch Production
Performance rankings
11. Annual Review 2013 25
0 25 50 75 100
ENG
Fulham
Everton
QPR
West Ham
Wigan
West Bromwich
Reading
Man. United
Stoke City
Norwich
Man. City
Swansea
Chelsea
Tottenham
Liverpool
Newcastle
Sunderland
Arsenal
Southampton
Aston Villa
43%
9%
32%
46%
52%
17%
37%
43%
34%
46%
60%
52%
42%
41%
59%
34%
54%
57%
43%
43%
54%
41%
61%
47%
27%
37%
60%
45%
47%
41%
53%
39%
42%
44%
36%
28%
38%
35%
42%
40%
28%
24%
8%
25%
20%
25%
10%
12%
12%
6%
11%
1%
0%
0%
5%
5%
7%
13%
1%
0%
0%
7%
0%
9%
5%
1%
3%
0%
12%
6%
5%
13%
0%
0%
6%
9%
17%
6%
16%
10%
1%
17%
22%
22%
27.01
30.51
28.84
28.25
28.11
27.78
27.72
27.36
27.34
27.18
26.78
26.76
26.71
26.49
26.43
26.25
26.24
26.20
25.71
25.34
24.18
Av. age on the pitch
22-26≤21 ≥3227-31
0 25 50 75 100
ESP
Levante
La Coruña
Málaga
Osasuna
Valladolid
Mallorca
Real Madrid
Getafe
Granada
Celta Vigo
Betis
Zaragoza
Sevilla
Barcelona
Rayo Vallecano
Espanyol
Valencia
Atlético Madrid
Athletic Bilbao
Real Sociedad
8%
6%
3%
10%
0%
0%
3%
4%
6%
3%
9%
11%
5%
10%
11%
17%
6%
3%
17%
16%
19%
47%
32%
33%
22%
54%
55%
63%
53%
36%
52%
46%
37%
55%
48%
46%
30%
62%
49%
45%
50%
60%
35%
24%
27%
59%
35%
36%
15%
41%
54%
33%
38%
45%
33%
33%
32%
51%
21%
44%
37%
29%
21%
10%
38%
36%
9%
11%
8%
19%
2%
4%
11%
6%
6%
8%
9%
11%
2%
10%
3%
2%
5%
0%
27.00
29.31
28.88
27.98
27.72
27.35
27.04
27.03
27.01
26.98
26.94
26.88
26.81
26.74
26.73
26.66
26.60
26.51
25.95
25.45
25.39
Av. age on the pitch
Age Structure
German Bundesliga teams fielded players aged on average 25.7. The second lowest figure at big-5 league level was measured
in France (26.4 years). At the opposite end of the table is Italy (27.4). However, the percentage of minutes played by footballers
under 22 years of age in the Italian Serie A was relatively high (12%). This figure was only 8% in Spain and up to 15% in Ger-
many. The highest percentage of minutes played by under-22 footballers was at Sochaux (33%). Conversely, five clubs never
fielded players in this age category. Fulham is the only big-5 league club whose average age on the pitch was greater than 30.
Players fielded by the London-club were on average 6.3 years older than those fielded by the youngest team in the English
Premier League: Aston Villa (24.2). At big-5 league level, the team having fielded the least seasoned players is Toulouse. The
average age on the pitch for all champions was around 27 years: from 26.2 for Bayern to 27.9 for Juventus.
Premier League% of minutes per age category
Liga
13. Annual Review 2013 52
Part 1II
Player comparison
best PERFORMING players
big 5 leagues
Champions League
14. Annual Review 2013 54
Most decisive players
The general index aggregates the indicators related to five specific areas of the game, weighted according to their impact on
club results at big-5 league level (see previous page). Lionel Messi tops the table, followed by Franck Ribéry and Cristiano
Ronaldo. These three players were already in the top 10 positions last season (1st Messi, 3rd Ronaldo and 7th Ribéry). Ten of
the 12 top ranked players belong to clubs that qualified for Champions League semi-finals: 3 for Bayern and Barcelona, 2 for
Borussia Dortmund and Real Madrid. There are only two players in the top 20 who are not part of a club having participated in
the 2012/13 edition of the Champions League: Luís Suarez (Liverpool) and Szabolcs Huszti (Hannover). This confirms that this
competition brings together almost all the best footballers. It also suggests that Champions League experience allows players
to further improve their skills.
1. Lionel Messi (Barcelona)......................................................100.0
2. Franck Ribéry (Bayern)..........................................................82.1
3. Cristiano Ronaldo (Real Madrid)............................................66.7
4. Mesut Özil (Real Madrid).......................................................64.4
5. Mario Götze (Dortmund)........................................................61.8
General INDEX
6. Andrés Iniesta (Barcelona).....................................................61.2
7. Francesc Fàbregas (Barcelona).............................................61.1
8. Toni Kroos (Bayern)...............................................................60.3
9. Thomas Müller (Bayern).........................................................59.2
10. Luis Suárez (Liverpool)..........................................................58.9
21. Lukas Podolski (Arsenal).......................................................51.7
22. Rémy Cabella (Montpellier)....................................................51.6
23. Gareth Bale (Tottenham)........................................................51.5
24. Andrea Pirlo (Juventus)..........................................................51.4
25. Francesco Totti (AS Roma)....................................................50.4
11. Arturo Vidal (Juventus)...........................................................58.2
12. Marco Reus (Dortmund).........................................................57.8
13. Szabolcs Huszti (Hannover)...................................................57.6
. Zlatan Ibrahimović (Paris SG)................................................57.6
15. Santi Cazorla (Arsenal)..........................................................57.3
26. Xavi Hernández (Barcelona)..................................................50.2
27. Jefferson Farfán (Schalke 04)................................................50.0
. Marek Hamšík (Napoli)..........................................................50.0
29. Kevin de Bruyne (Bremen).....................................................49.8
30. Antonio Cassano (Internazionale)..........................................49.6
16. Jacub Blaszczykowski (Dortmund)........................................56.1
17. Juan Mata (Chelsea)..............................................................55.1
18. Karim Benzema (Real Madrid)...............................................54.8
19. Wayne Rooney (Man. United)................................................54.3
20. Gonzalo Higuaín (Real Madrid)..............................................53.4
31. Philipp Lahm (Bayern)............................................................49.1
32. Robin van Persie (Man. United).............................................48.5
33. David Silva (Man. City)...........................................................48.4
34. Lorenzo Insigne (Napoli)........................................................48.3
35. Erik Lamela (AS Roma).........................................................48.1
36. Bastian Schweinsteiger (Bayern)...........................................47.8
37. Miralem Pjanić (AS Roma).....................................................47.3
38. Theo Walcott (Arsenal)..........................................................47.0
39. Max Kruse (Freiburg).............................................................46.4
40. Dimitri Payet (Lille).................................................................46.3
51. Julien Féret (Rennes).............................................................43.5
. Robert Lewandowski (Dortmund)...........................................43.5
53. Romelu Lukaku (WBA)...........................................................43.3
. Ivan Rakitić (Sevilla)...............................................................43.3
. Edin Džeko (Man. City)..........................................................43.3
41. Paul Pogba (Juventus)...........................................................46.2
42. Kwadwo Asamoah (Juventus)................................................46.0
43. Eden Hazard (Chelsea)..........................................................45.8
44. Stefan Kiessling (Leverkusen)...............................................45.7
45. Koke Resurrección (Atlético Madrid)......................................45.6
. Diego Costa (Atlético Madrid)................................................43.3
. Javi Martínez (Bayern)...........................................................43.3
. Éver Banega (Valencia).........................................................43.3
59. Clément Grenier (Lyon)..........................................................42.7
60. José Antonio Reyes (Sevilla).................................................42.2
. Steven Gerrard (Liverpool).....................................................45.6
47. Carlos Tévez (Man. City).......................................................45.1
48. Rodrigo Palacio (Internazionale)............................................43.9
49. Patrick Ebert (Valladolid)........................................................43.7
50. Mathieu Valbuena (Marseille).................................................43.6
Data adjusted with 100 for the highest value at big-5 league level
Except for page 57, all the rankings for big-5 leagues in this section only
include footballers who have played at least half of championship minutes
15. Annual Review 2013 68
Champions League
Most decisive players
Xavi Hernández outranked his teammate Lionel Messi as the most decisive player in the 2012/13 Champions League group
stage. Another Spanish player, Juan Mata, is on the podium. The only other nation with two representatives in the top 10 is
Brazil: Willian and Oscar. Different reasons explain the absence of future finalists in the very top positions of the ranking. For
Bayern, it shows that little effort was needed to qualify for the last 16 round. However, Philipp Lahm is the best ranked defen-
der (7th). For Borussia, it rather reflects the strength of rivals to which they were opposed in the group stage. The best ranked
player, Robert Lewandowski, is only 14th. Three quarters of footballers in the 60 first positions played for clubs that qualified for
the last 16. Juan Mata is the best ranked player of teams that did not make it to this stage.
1. Xavi Hernández (Barcelona)................................................100.0
2. Lionel Messi (Barcelona)........................................................98.0
3. Juan Mata (Chelsea)..............................................................88.5
4. Arturo Vidal (Juventus)...........................................................84.8
5. Willian Borges (Shakhtar Donetsk)........................................82.6
General INDEX
6. Oscar dos Santos (Chelsea)..................................................82.3
7. Philipp Lahm (Bayern)............................................................79.3
8. Cristiano Ronaldo (Real Madrid)............................................77.2
9. Zlatan Ibrahimović (Paris SG)................................................75.2
10. Andrea Pirlo (Juventus)..........................................................74.3
21. Christian Eriksen (Ajax)..........................................................62.0
22. Lukas Podolski (Arsenal).......................................................61.6
23. Burak Yilmaz (Galatasaray)...................................................61.5
24. Eden Hazard (Chelsea)..........................................................59.6
25. Sofiane Feghouli (Valencia)...................................................58.0
11. João Moutinho (Porto)............................................................73.9
12. Bastian Schweinsteiger (Bayern)...........................................70.8
13. Alan Osorio (Braga)...............................................................69.4
14. Robert Lewandowski (Dortmund)...........................................66.8
15. Lewis Holtby (Schalke 04)......................................................66.1
26. Luiz Fernandinho (Shakhtar Donetsk)...................................57.1
27. Darijo Srna (Shakhtar Donetsk).............................................56.0
28. Eliseu Pereira (Málaga)..........................................................53.5
29. Alex Teixeira (Shakhtar Donetsk)...........................................53.1
30. Blaise Matuidi (Paris SG).......................................................52.2
16. Claudio Marchisio (Juventus).................................................65.5
17. Luiz Adriano (Shakhtar Donetsk)...........................................64.5
18. Toni Kroos (Bayern)...............................................................64.1
19. Lucho González (Porto).........................................................63.5
20. Rafael Bastos (Cluj)...............................................................62.7
31. Christian Fuchs (Schalke 04).................................................51.9
32. Selçuk Inan (Galatasaray)......................................................50.5
33. Sacha Kljestan (Anderlecht)...................................................49.7
34. Yaya Touré (Man. City)...........................................................49.6
35. Klaas-Jan Huntelaar (Schalke 04).........................................49.4
36. Charlie Mulgrew (Celtic).........................................................49.1
37. Xabi Alonso (Real Madrid).....................................................49.0
38. Miguel Veloso (Dynamo Kyiv)................................................48.9
39. Mario Götze (Dortmund)........................................................48.8
40. Urby Emanuelson (Milan).......................................................48.5
. Benedikt Höwedes (Schalke 04)............................................43.5
52. Lucas Biglia (Anderlecht).......................................................42.7
53. Henrikh Mkhitaryan (Shakhtar Donetsk)................................42.2
. Roman Neustädter (Schalke 04)............................................42.2
55. Thomas Müller (Bayern).........................................................41.5
41. Rúben Micael (Braga)............................................................47.5
42. James Rodríguez (Porto).......................................................47.1
43. Marco Reus (Dortmund).........................................................46.9
44. Hulk Givanildo (Zenit St Petersburg)......................................46.6
45. Marco Verratti (Paris SG).......................................................45.9
56. Rémy Cabella (Montpellier)....................................................41.3
57. Niklas Moisander (Ajax).........................................................41.2
. Roman Shirokov (Zenit St Petersburg)..................................41.2
59. Alex da Costa (Paris SG).......................................................41.1
60. Eduardo Salvio (Benfica).......................................................40.7
46. Mikel Arteta (Arsenal).............................................................45.8
47. Leonardo Bonucci (Juventus)................................................44.5
48. Pedro Rodríguez (Barcelona)................................................44.4
49. Silvestre Varela (Porto)..........................................................43.7
50. Siem de Jong (Ajax)...............................................................43.5
Only group stage matches - At least 400 minutes played
16. Annual Review 2013 69
Champions League
Best performing players
Xavi’s first position in the general ranking is mainly due to his incredible productivity in distribution. The Barcelona midfielder was
twice as productive as the second ranked player: Jõao Moutinho. Lionel Messi is the only player present in the top 10 positions for
three specific rankings: shooting, take on and distribution. Seven other footballers are in the top 10 for more than one key perfor-
mance indicator: Xavi, Mata, Ibrahimović, Verratti, Lahm, Schweinsteiger and Hazard. The majority of the best performing players
belongs to clubs participating in the five major European championships. Ukrainian champion Shakhtar Donetsk is the non-big-5
league team with the most footballers in the top 10: Willian and Luiz Adriano in shooting, as well as Kucher and Fernandinho in
recovery. Four other Brazilians playing in leagues outside the big-5 are in the rankings: Alan, Bastos, Hulk and Sammir.
1. Burak Yilmaz (Galatasaray).................................................100.0
2. Robert Lewandowski (Dortmund)...........................................95.1
3. Cristiano Ronaldo (Real Madrid)............................................90.0
4. Oscar dos Santos (Chelsea)..................................................83.8
5. Lionel Messi (Barcelona)........................................................74.9
Shooting
6. Alan Osorio (Braga)...............................................................74.6
7. Willian Borges (Shakhtar Donetsk)........................................69.1
8. Luiz Adriano (Shakhtar Donetsk)...........................................68.9
9. Lukas Podolski (Arsenal).......................................................62.2
10. Juan Mata (Chelsea)..............................................................55.4
1. Zlatan Ibrahimović (Paris SG)..............................................100.0
2. Juan Mata (Chelsea)..............................................................88.3
3. Christian Eriksen (Ajax)..........................................................87.8
4. Andrea Pirlo (Juventus)..........................................................85.1
5. Xavi Hernández (Barcelona)..................................................83.1
Chance Creation
6. Rafael Bastos (Cluj)...............................................................79.0
7. Philipp Lahm (Bayern)............................................................77.1
8. Lewis Holtby (Schalke 04)......................................................74.5
9. Charlie Mulgrew (Celtic).........................................................69.9
10. Eden Hazard (Chelsea)..........................................................67.1
1. Eden Hazard (Chelsea)........................................................100.0
2. Lionel Messi (Barcelona)........................................................92.0
3. Hulk Givanildo (Zenit St Petersburg)......................................83.1
4. Zlatan Ibrahimović (Paris SG)................................................79.5
5. Eduardo Salvio (Benfica).......................................................78.1
Take On
6. Philipp Lahm (Bayern)............................................................76.8
7. Urby Emanuelson (Milan).......................................................75.1
8. Jorge Sammir (Dinamo Zagreb).............................................70.5
9. Milan Jovanović (Anderlecht).................................................69.5
10. Ramires Santos (Chelsea).....................................................67.9
1. Xavi Hernández (Barcelona)................................................100.0
2. João Moutinho (Porto)............................................................49.9
3. Marco Verratti (Paris SG).......................................................47.0
4. Mikel Arteta (Arsenal).............................................................46.8
5. Niklas Moisander (Ajax).........................................................46.0
Distribution
. Lionel Messi (Barcelona)........................................................46.0
7. Bastian Schweinsteiger (Bayern)...........................................44.4
8. Xabi Alonso (Real Madrid).....................................................43.4
9. Pedro Rodríguez (Barcelona)................................................43.2
10. Lucas Biglia (Anderlecht).......................................................42.8
1. Arturo Vidal (Juventus).........................................................100.0
2. Bastian Schweinsteiger (Bayern)...........................................80.1
3. Leonardo Bonucci (Juventus)................................................75.9
4. Olexandr Kucher (Shakhtar Donetsk)....................................72.9
5. Lewis Holtby (Schalke 04)......................................................72.1
Recovery
6. Roman Neustädter (Schalke 04)............................................72.0
7. Alex da Costa (Paris SG).......................................................67.9
8. Luiz Fernandinho (Shakhtar Donetsk)...................................65.2
9. Marco Verratti (Paris SG).......................................................64.4
. Giorgio Chiellini (Juventus)....................................................64.4
Only group stage matches - At least 400 minutes played
17. Annual Review 2013 70
Part iV
Economic value
league comparison
club valuation
player valuation
18. Annual Review 2013 83
Player rankings
Highest estimated values
If Lionel Messi was transferred, he would certainly break the record for the highest transfer fee ever paid. The economic value
of the Argentinean superstar is close to his buyout clause: 250 million euro. All the key parameters generally increasing the
value of a player converge for Messi: top performing employer club, consistently outstanding performances, above all in terms
of goals, high level of national A-team represented, attacking position, middle career age and recently extended long-term
contract. In case of transfer, Cristiano Ronaldo would also probably break his own record of the highest fee (94 million). With
only two seasons of contract remaining and at 28 years of age, Real Madrid has probably the last opportunity to sell him for a
profit. Our analysis also suggests that without the 37-million euro buyout clause, Bayern Munich should have invested even
more money to sign Mario Götze.
1. Lionel Messi (FC Barcelona)....................................217.4 - 252.6
2. Cristiano Ronaldo (Real Madrid CF)........................102.2 - 118.7
3. Edison Cavani (SSC Napoli)........................................58.3 - 67.8
4. Eden Hazard (Chelsea FC)..........................................55.5 - 64.5
5. Sergio Agüero (Manchester City FC)...........................48.6 - 56.4
Overall ranking (million €)
6. Radamel Falcao (Club Atlético de Madrid)...................46.3 - 53.8
7. Mario Balotelli (Milan AC).............................................45.5 - 52.9
8. Wayne Rooney (Manchester United FC).....................45.1 - 52.4
9. Gareth Bale (Tottenham Hotspur FC)..........................43.5 - 50.6
10. David Silva (Manchester City FC)................................43.5 - 50.5
21. Juan Mata (Chelsea FC)..............................................36.7 - 42.6
. Mesut Özil (Real Madrid CF)........................................36.7 - 42.6
23. Gerard Piqué (FC Barcelona)......................................34.2 - 39.8
24. Stephan El Shaarawy (Milan AC).................................31.4 - 36.5
25. Franck Ribéry (FC Bayern München)..........................31.0 - 36.0
11. Mario Götze (Borussia Dortmund)...............................42.0 - 48.9
12. Karim Benzema (Real Madrid CF)...............................41.6 - 48.4
13. Sergio Ramos (Real Madrid CF)..................................41.4 - 48.1
14. Andrés Iniesta (FC Barcelona).....................................41.2 - 47.9
15. Francesc Fàbregas (FC Barcelona).............................40.4 - 47.0
26. Lucas Moura (Paris St-Germain FC)............................30.5 - 35.5
27. Bastian Schweinsteiger (FC Bayern München)...........30.1 - 34.9
28. Erik Lamela (AS Roma)...............................................29.6 - 34.4
29. Theo Walcott (Arsenal FC)...........................................29.2 - 33.9
30. Thiago Silva (Paris St-Germain FC).............................29.1 - 33.9
16. Robin van Persie (Manchester United FC)..................39.4 - 45.8
17. Sergio Busquets (FC Barcelona).................................38.9 - 45.2
18. Thomas Müller (FC Bayern München).........................38.5 - 44.8
19. Santi Cazorla (Arsenal FC)..........................................37.3 - 43.3
20. Luis Suárez (Liverpool FC)..........................................37.2 - 43.2
31. Pedro Rodríguez (FC Barcelona).................................28.7 - 33.3
. Toni Kroos (FC Bayern München)................................28.7 - 33.3
33. Claudio Marchisio (Juventus FC).................................28.1 - 32.6
34. André Schürrle (Bayer 04 Leverkusen)........................27.8 - 32.3
35. Vincent Kompany (Manchester City FC)......................27.6 - 32.1
36. Daniel Sturridge (Liverpool FC)....................................27.6 - 32.0
37. Marek Hamšík (SSC Napoli)........................................27.3 - 31.8
38. Gonzalo Higuaín (Real Madrid CF)..............................27.3 - 31.7
39. Ángel Di María (Real Madrid CF).................................26.9 - 31.3
40. Marco Reus (Borussia Dortmund)................................26.8 - 31.2
51. Jack Wilshere (Arsenal FC).........................................25.0 - 29.1
. Danny Welbeck (Manchester United FC).....................25.0 - 29.1
53. Stevan Jovetić (AC Fiorentina)....................................24.9 - 28.9
54. Marouane Fellaini (Everton FC)...................................24.5 - 28.5
55. Mats Hummels (Borussia Dortmund)...........................24.3 - 28.3
41. Arturo Vidal (Juventus FC)...........................................26.6 - 30.9
42. Shinji Kagawa (Manchester United FC).......................26.4 - 30.6
. Javier Hernández (Manchester United FC)..................26.4 - 30.6
. Oscar dos Santos (Chelsea FC)..................................26.4 - 30.6
45. Yaya Touré (Manchester City FC)................................26.3 - 30.5
56. Phil Jones (Manchester United FC).............................24.0 - 27.9
57. Robert Lewandowski (Borussia Dortmund)..................23.1 - 26.8
58. Jan Vertonghen (Tottenham Hotspur FC)....................22.7 - 26.3
59. Isco Alarcón (Málaga CF).............................................22.6 - 26.3
60. Romelu Lukaku (Chelsea FC)......................................22.5 - 26.1
46. David de Gea (Manchester United FC)........................26.1 - 30.4
47. Manuel Neuer (FC Bayern München)..........................25.9 - 30.1
48. Jordi Alba (FC Barcelona)............................................25.4 - 29.6
. Luka Modrić (Real Madrid CF).....................................25.4 - 29.6
50. Joe Hart (Manchester City FC)....................................25.2 - 29.3