歐洲足球資料庫 背景:歐洲足球 內容:歐洲足球分析

In 2022/23, Premier League clubs collectively generated nearly seven billion euros in revenue - significantly more than any other league in Europe's Big Five. This has been forecast to rise to around 7.5 billion euros in the 2024/25 season. Which club has won the most Premier League titles? The Premier League is the highest tier of professional soccer in England. Out of all teams, Manchester United is the club that has won the most Premier League titles as of 2024. Meanwhile, Manchester United’s rivals, Liverpool, ranked second with 19 wins. Liverpool's last title was won in 2019/20 under Jürgen Klopp. Which player has won the Premier League the most? Given the Red Devils’ success in the Premier League, it is not surprising that the player who has won the Premier League the most times is a United club legend. Throughout his career, Ryan Giggs won the Premier League 13 times. The next highest-ranked player was Paul Scholes, who also played for Manchester United.

Dataset

This dataset was created by Elie Semmel

Contents

Context

This dataset contains 2022-2023 football player stats per 90 minutes. Only players of Premier League, Ligue 1, Bundesliga, Serie A and La Liga are listed.

• 2021-2022 Football Player Stats
• 2021-2022 Football Team Stats
• 2022-2023 Football Team Stats

Content

+2500 rows and 124 columns. Columns' description are listed below.

• Rk : Rank
• Player : Player's name
• Nation : Player's nation
• Pos : Position
• Squad : Squad’s name
• Comp : League that squat occupies
• Age : Player's age
• Born : Year of birth
• MP : Matches played
• Starts : Matches started
• Min : Minutes played
• 90s : Minutes played divided by 90
• Goals : Goals scored or allowed
• Shots : Shots total (Does not include penalty kicks)
• SoT : Shots on target (Does not include penalty kicks)
• SoT% : Shots on target percentage (Does not include penalty kicks)
• G/Sh : Goals per shot
• G/SoT : Goals per shot on target (Does not include penalty kicks)
• ShoDist : Average distance, in yards, from goal of all shots taken (Does not include penalty kicks)
• ShoFK : Shots from free kicks
• ShoPK : Penalty kicks made
• PKatt : Penalty kicks attempted
• PasTotCmp : Passes completed
• PasTotAtt : Passes attempted
• PasTotCmp% : Pass completion percentage
• PasTotDist : Total distance, in yards, that completed passes have traveled in any direction
• PasTotPrgDist : Total distance, in yards, that completed passes have traveled towards the opponent's goal
• PasShoCmp : Passes completed (Passes between 5 and 15 yards)
• PasShoAtt : Passes attempted (Passes between 5 and 15 yards)
• PasShoCmp% : Pass completion percentage (Passes between 5 and 15 yards)
• PasMedCmp : Passes completed (Passes between 15 and 30 yards)
• PasMedAtt : Passes attempted (Passes between 15 and 30 yards)
• PasMedCmp% : Pass completion percentage (Passes between 15 and 30 yards)
• PasLonCmp : Passes completed (Passes longer than 30 yards)
• PasLonAtt : Passes attempted (Passes longer than 30 yards)
• PasLonCmp% : Pass completion percentage (Passes longer than 30 yards)
• Assists : Assists
• PasAss : Passes that directly lead to a shot (assisted shots)
• Pas3rd : Completed passes that enter the 1/3 of the pitch closest to the goal
• PPA : Completed passes into the 18-yard box
• CrsPA : Completed crosses into the 18-yard box
• PasProg : Completed passes that move the ball towards the opponent's goal at least 10 yards from its furthest point in the last six passes, or any completed pass into the penalty area
• PasAtt : Passes attempted
• PasLive : Live-ball passes
• PasDead : Dead-ball passes
• PasFK : Passes attempted from free kicks
• TB : Completed pass sent between back defenders into open space
• Sw : Passes that travel more than 40 yards of the width of the pitch
• PasCrs : Crosses
• TI : Throw-Ins taken
• CK : Corner kicks
• CkIn : Inswinging corner kicks
• CkOut : Outswinging corner kicks
• CkStr : Straight corner kicks
• PasCmp : Passes completed
• PasOff : Offsides
• PasBlocks : Blocked by the opponent who was standing it the path
• SCA : Shot-creating actions
• ScaPassLive : Completed live-ball passes that lead to a shot attempt
• ScaPassDead : Completed dead-ball passes that lead to a shot attempt
• ScaDrib : Successful dribbles that lead to a shot attempt
• ScaSh : Shots that lead to another shot attempt
• ScaFld : Fouls drawn that lead to a shot attempt
• ScaDef : Defensive actions that lead to a shot attempt
• GCA : Goal-creating actions
• GcaPassLive : Completed live-ball passes that lead to a goal
• GcaPassDead : Completed dead-ball passes that lead to a goal
• GcaDrib : Successful dribbles that lead to a goal
• GcaSh : Shots that lead to another goal-scoring shot
• GcaFld : Fouls drawn that lead to a goal
• GcaDef : Defensive actions that lead to a goal
• Tkl : Number of players tackled
• TklWon : Tackles in which the tackler's team won possession of the ball
• TklDef3rd : Tackles in defensive 1/3
• TklMid3rd : Tackles in middle 1/3
• TklAtt3rd : Tackles in attacking 1/3
• TklDri : Number of dribblers tackled
• TklDriAtt : Number of times dribbled past plus number of tackles
• TklDri% : Percentage of dribblers tackled
• TklDriPast : Number of times dribbled past by an opposing player
• Blocks : Number of times blocking the ball by standing in its path
• BlkSh : Number of times blocking a shot by standing in its path
• BlkPass : Number of times blocking a pass by standing in its path
• Int : Interceptions
• Tkl+Int : Number of players tackled plus number of interceptions
• Clr : Clearances
• Err : Mistakes leading to an opponent's shot
• Touches : Number of times a player touched the ball. Note: Receiving a pass, then dribbling, then sending a pass counts as one touch
• TouDefPen : Touches in defensive penalty area
• TouDef3rd : Touches in defensive 1/3
• TouMid3rd : Touches in middle 1/3
• TouAtt3rd : Touches in attacking 1/3
• TouAttPen : Touches in attacking penalty area
• TouLive : Live-ball touches. Does not include corner kicks, free kicks, throw-ins, kick-offs, goal kicks or penalty kicks.
• ToAtt : Number of attempts to take on defenders while dribbling
• ToSuc : Number of defenders taken on successfully, by dribbling past them
• ToSuc% : Percentage of take-ons Completed Successfully
• ToTkl : Number of times tackled by a defender during a take-on attempt
• ToTkl% : Percentage of time tackled by a defender during a take-on attempt
• Carries : Number of times the player controlled the ball with their feet
• CarTotDist : Total distance, in yards, a player moved the ball while controlling it with their feet, in any direction
• CarPrgDist : Total distance, in yards, a player moved the ball while controlling it with their feet towards the opponent's goal
• CarProg : Carries that move the ball towards the opponent's goal at least 5 yards, or any carry into the penalty area
• Car3rd : Carries that enter the 1/3 of the pitch closest to the goal
• CPA : Carries into the 18-yard box
• CarMis : Number of times a player failed when attempting to gain control of a ball
• CarDis : Number of times a player loses control of the ball after being tackled by an opposing player
• Rec : Number of times a player successfully received a pass
• RecProg : Completed passes that move the ball towards the opponent's goal at least 10 yards from its furthest point in the last six passes, or any completed pass into the penalty area
• CrdY : Yellow cards
• CrdR : Red cards
• 2CrdY : Second yellow card
• Fls : Fouls committed
• Fld : Fouls drawn
• Off : Offsides
• Crs : Crosses
• TklW : Tackles in which the tackler's team won possession of the ball
• PKwon : Penalty kicks won
• PKcon : Penalty kicks conceded
• OG : Own goals
• Recov : Number of loose balls recovered
• AerWon : Aerials won
• AerLost : Aerials lost
• AerWon% : Percentage of aerials won

Acknowledgements

Data from Football Reference. Image from Sky Sports.

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A detailed analysis of the reasons why European club football competition reform is necessary, the proposals and their potential impacts Read More

This dataset contains data about more than 50 000 soccer games of first and second leagues of 10 European countries. It contains data such as half-time and full-time results, number of goals, shots, corners, free-kicks, fouls, yellow and red cards, and odds proposed by several bookmakers before the games.

It was compiled thanks to the site Football Data. Thanks for your great work !!

The detailed description of the columns is available here.

Based on this dataset, and potentially other public sources, can you build a model providing the probability of each outcome (home wins, draw, away wins), with a validation log loss better than the implied probabilities of the bookmakers' odds ?

Of course, the dataset should be considered as a time series, and validation should be performed using an appropriate method (for example TimeSeriesSplit for Python users)

Good luck, looking forward to sharing our best practices and the best features we manage to engineer !

The authors investigate whether the home advantage in soccer differs by various dimensions of distance between the (regions of the) home and away teams: geographical distance, climatic differences, cultural distance, and disparities in economic prosperity. To this end, the authors analyse 2,012 recent matches played in the UEFA Champions League and UEFA Europa League by means of several regression models. They find that when the home team plays at a higher altitude, they benefit substantially more from their home advantage. Every 100 meters of altitude difference is associated with an increase in expected probability to win the match, as the home team, by 1.1 percentage points. The other dimensions of distance are not significantly associated with a higher or lower home advantage. By contrast, the authors find that the home advantage in soccer is more outspoken when the number of spectators is higher and when the home team is substantially stronger than the away team.

Complete list of all-time European national teams international football matches, euro football results

Enetpulse live score & stats data is for any business with high ambitions for their sports content. With all the right data points in place, you are ready to tell the stories that your audience is looking for. As part of live score & stats, data are all the top football leagues, tennis ATP & WTA, American national sports leagues and much more.

Here are a few examples of what is available at Enetpulse live score & stats data:

Football/soccer: All European top leagues, including Premier League, La Liga, Bundesliga, Ligue 1, Eredivisie, and many more.

Tennis: All ATP, WTA, Challengers, and Grand Slams.

NHL, NFL, MSL, MLB, and NBA.

All Olympic disciplines.

And so much more.

Snapshot img

Football Market Size 2024-2028

The football market size is forecast to increase by USD 599.29 million at a CAGR of 3.45% between 2023 and 2028.

The market is experiencing significant growth due to several key factors. The increase in the number of football events at both global and national levels is driving market expansion. Additionally, there is a rising trend towards the adoption of sustainable and eco-friendly football raw materials, reflecting growing environmental consciousness. The market is evolving with the integration of analytics and virtual reality, allowing teams to analyze player performance in real-time and offer great fan experiences that bring the game closer to audiences. Furthermore, the increasing popularity of virtual football games among the youth demographic is adding to market momentum. These trends are shaping the future of the football industry and presenting new opportunities for stakeholders. The market analysis report provides a comprehensive overview of these growth factors and their impact on the market.

What will be the Size of the Football Market During the Forecast Period?

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The market encompasses a vast array of products and services catering to the global fan base and participants of the world's most popular sport. With a significant portion of young adults representing a substantial consumer expenditure, the market exhibits strong growth driven by product innovation and increasing health consciousness. Fitness apps, outdoor games, and football-related products cater to fans seeking to improve their physical effort, stamina levels, and overall health. Broadcasting rights deals, sponsorships, and endorsement agreements with sports celebrities dominate the market landscape, fueling investment opportunities. Digital platforms, social networks, and virtual games further expand the market's reach, engaging fans through diverse channels.
Women's football gains traction, with growing viewership and events organized to promote gender equality. The football industry's overall size and direction reflect the sport's global appeal, with stakeholders including televisions, sports leagues, event organizers, and body stitching companies capitalizing on the market's potential. Health diseases and concerns related to physical effort and stamina levels continue to drive demand for football-related products and services. The fusion of technology and football, from body sensors to computer games, adds another dimension to this dynamic market.

How is the Football Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Distribution Channel

  Offline
  Online


Type

  Training ball
  Match ball
  Others


Geography

  Europe

    Germany
    UK
    France


  South America

    Brazil


  APAC

    China


  North America



  Middle East and Africa

By Distribution Channel Insights

The offline segment is estimated to witness significant growth during the forecast period. The market encompasses sports equipment retailers, specialty stores, supermarkets, and hypermarkets. In developed countries like the US, UK, France, Germany, and Italy, these channels dominate football sales. Consumers prefer purchasing footballs from physical retailers due to the opportunity to inspect the product before buying and the convenience of acquiring apparel and accessories simultaneously. The availability of various football brands, including Adidas AG and Nike Inc., further enhances consumer preference. Sports merchandise sales, particularly football team apparel, contribute significantly to the market. Broadcasting rights, sports marketing strategies, and football player endorsements are other key revenue streams. The soccer ball industry, including hand-stitched and thermally bonded segments, caters to various consumer preferences.
The market also includes women's soccer, athletic footwear, football training equipment, digital platforms, fantasy soccer, sports betting, and sports analytics. Global football events, soccer apparel markets, fan experience technologies, football e-sports growth, and digital ticketing platforms further expand the market's scope. Club valuation, sports digital marketing, fan loyalty programs, and event sponsorship strategies are essential components of the football industry.

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The Offline segment was valued at USD 2.73 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

Europe is estimated to contribute 43% to the growth of the global market during the forecast period. Technavio's analysts have el

The description of current load monitoring practices may serve to highlight developmental needs for both the training ground, academia and related industries. While previous studies described these practices in elite men's football, no study has provided an overview of load monitoring practices in elite women's football. Given the clear organizational differences (i.e., professionalization and infrastructure) between men's and women's clubs, making inferences based on men's data is not appropriate. Therefore, this study aims to provide a first overview of the current load monitoring practices in elite women's football. Twenty-two elite European women's football clubs participated in a closed online survey (40% response rate). The survey consisted of 33 questions using multiple choice or Likert scales. The questions covered three topics; type of data collected and collection purpose, analysis methods, and staff member involvement. All 22 clubs collected data related to different load monitoring purposes, with 18 (82%), 21 (95%), and 22 (100%) clubs collecting external load, internal load, and training outcome data, respectively. Most respondents indicated that their club use training models and take into account multiple indicators to analyse and interpret the data. While sports-science staff members were most involved in the monitoring process, coaching, and sports-medicine staff members also contributed to the discussion of the data. Overall, the results of this study show that most elite women's clubs apply load monitoring practices extensively. Despite the organizational challenges compared to men's football, these observations indicate that women's clubs have a vested interest in load monitoring. We hope these findings encourage future developments within women's football.

This paper uses data from the UEFA Champions League (2003–2012) to study the impact of diversity on team performance. Results indicate that more heterogeneous teams outperform less diverse sides; a one-standard deviation increase in cultural diversity (measured by linguistic distance) can double a team’s goal differential over the course of the tournament. One threat to our conclusions is that certain teams have greater resources to search the world for talent. We address this issue by controlling for players’ transfer values, quality ratings, and exploiting exogenous variation in diversity generated by differences in the non-European player quotas of national soccer leagues.

If you use these data cite the following paper: - Pappalardo et al., (2019) A public data set of spatio-temporal match events in soccer competitions, Nature Scientific Data 6:236, https://www.nature.com/articles/s41597-019-0247-7This dataset describes seven major soccer competitions (Italian, Spanish, German, French, English first divisions, World cup 2018, European cup 2016). Each competition is a document consisting of the following fields: area: it denotes the geographic area associated with the league as a sub-document, using the ISO 3166-1 specification (https://www.iso.org/iso-3166-country-codes.html);format: the format of the competition. All competitions for clubs have value "Domestic league". The competitions for national teams have value "International cup";- name: the official name of the competition (e.g., Italian first division, Spanish first division, World Cup, etc.);- type: the typology of the competition. It is "club" for the competitions for clubs and "international" for the competitions for national teams (World Cup 2018, European Cup 2016);- wyId: the unique identifier of the competition, assigned by Wyscout.

This research project analysed the impact of public order policing strategies upon levels of 'hooliganism' at the Union of European Football Associations (UEFA) European Championships in Portugal in June and July 2004 (Euro 2004). The project combined two methodological approaches, structured observation and ethnography, to collect data on police and fans during the event. The research was used to address three specific issues. Firstly, it aimed to understand the psychological processes and intergroup dynamics underlying both the presence and absence of 'disorder' in the context of international football. Secondly, it was used to evaluate the effectiveness of police strategies and tactics used to prevent crowd disorder, and finally, it attempted to develop the relationship between science and practice in the realm of public order by providing an empirically-based approach to the safety and security planning of future international football tournaments.

• Entries for English-Spanish: Scientific research & mathematical sciences (906 entries), Geosciences (10,215), Computer science, electronics & telecommunications (70,580), Industry (47,578), Transport & Maintenance (12,291), Economy (145,572), Biological sciences (38,989), Communication & media (8,143), Chemical & physical sciences (27,467).
• Entries for English-French-German-Spanish: Environment (36,658), Health (66,727), Agriculture & food (25,975), Construction & public works (8,429), Law & policy (56,578), Sports & Leisure (17,312)
• Two specialized lexicons: Spanish-English and English-French-German without domain codes: electronics, telematics, law, taxes, customs, etc. (550,000 entries).
• Two general lexicons: Spanish-English-French-German and Spanish-English-French-German-Portuguese-Italian (83,000 entries).

This terminological database contains, for each domain, a sub-domain indication is given (from 2 sub-domains for Scientific research to 39 for Sports & leisure). Each entry consists of a definition, phraseological unit, abbreviation, usage information, grammatical labels. Format: ASCII

We analyze the effects of top tax rates on international migration of football players in 14 European countries since 1985. Both country case studies and multinomial regressions show evidence of strong mobility responses to tax rates, with an elasticity of the number of foreign (domestic) players to the net-of-tax rate around one (around 0.15). We also find evidence of sorting effects (low taxes attract highability players who displace low-ability players) and displacement effects (low taxes on foreigners displace domestic players). Those results can be rationalized in a simple model of migration and taxation with rigid labor demand.

Historical price and volatility data for Argentine Football Association Fan Token in Euro across different time periods.

Snapshot img

Football Equipment Market Size 2024-2028

The football equipment market size is estimated to grow by USD 1.70 billion at a CAGR of 2.15% between 2023 and 2028. A remarkable trend in the market is the growing preference for eco-friendly products. This shift is driven by increasing global environmental concerns, prompting football equipment and manufacturers of football apparel to replace traditional materials like leather, synthetic rubber, polyurethane, nylon, and other synthetics with organic cotton, water-based adhesives, and recycled plastics. Thermoplastic elastomers are also seeing rising usage across various types of sports equipment. Many emerging companies are introducing such products to meet the growing demand for eco-friendly alternatives. As a result, football shoes are now made from sustainable materials, not only benefiting the environment but also enhancing the shoes' lightness, thereby enabling players to achieve greater speed, agility, and comfort.

What will be the Size of the Football Equipment Market During the Forecast Period?

To learn more about the football equipment market growth and forecasting report, Download Report Sample

Football Equipment Market Segmentation

The market is growing at a moderate pace due to the increasing popularity of football and rising demand for protective gear, and apparel. Industry players are focusing on optimizing their cost structure to offer competitive prices. The football equipment market is supported by statistical and comprehensive data that help strategists make informed decisions.

Distribution Channel Outlook 

  Offline
  Online


Product Outlook 

  Football shoes
  Footballs
  Football protective equipment
  Others


Region Outlook 

  Europe

    The U.K.
    Germany
    France
    Rest of Europe


  South America

    Brazil
    Argentina


  APAC

    China
    India


  North America

    The U.S.
    Canada


  Middle East & Africa

    Saudi Arabia
    South Africa
    Rest of the Middle East & Africa

By Distribution Channel

The market share growth of the offline segment will be significant during the forecast period. The offline distribution channel includes offline stores that sell products in a physical space. In such stores, buyers can check products before buying. The offline distribution channel for the market includes specialty stores, hypermarkets, supermarkets, and departmental stores. The prominent players in the market promote and sell football equipment, including football apparel, through specialty stores, as they offer greater visibility to products and a wide assortment of products. Specialty stores are significant in the sales of football equipment because they allow consumers to sample and evaluate products before buying. This is a convenient retail channel not only for end customers but also for companies.

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The offline segment shows a gradual increase in the market share of USD 12.79 billion in 2018. Consumers buy football equipment from supermarkets, hypermarkets, and department stores, as they stock a large portfolio of products. Moreover, these stores provide consumers with attractive discounts, and they usually offer economically priced brands. However, the shelf space for football equipment is low in these stores, which acts as a barrier to market growth. Hypermarkets that are present globally offer a wide range of football equipment. Some sporting goods supermarkets offer a wide range of football equipment, such as shinguard, ankle brace support, knee pad, and other football training equipment. Hence, such factors are fuelling the growth of this segment during the forecast period.

By Region

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Europe is projected to contribute 53% by 2028. Technavio's analysts have elaborately explained the regional market trends and drivers that shape football equipment market growth during the forecast period.

Europe accounted for the largest market share in 2022 and shall continue to lead the market during the forecast period. Football accounts for the largest share of the market, and the popularity of football is the major driver for market growth in the region. Europe also has the largest number of football clubs in the world and attracts some of the most popular players in the game. The Union of European Football Associations (UEFA) Champions League and the Euro Cup are popular football tournaments played in the region, which will garner more popularity for the game over the forecast period and, therefore, contribute to the growth of the market in focus in the region during the forecast period.

Football Equipment Market Dynamics

The football equipment market forecasting report provides a holistic evaluation of market volumes and trends. Factors such as rising sports participation rates, driven by the appeal of a healthy lifestyle and events like the FIFA World Cup, are contributing

Historical price and volatility data for Euro in Argentine Football Association Fan Token across different time periods.

This round of Euro-Barometer surveys queried respondents on standard Euro-Barometer measures such as life satisfaction, their country's goals for the next 10 or 15 years, and awareness of and attitudes toward the Common Market and the European Community (EC), as well as special topics including the recent changes in Eastern Europe, European sports and nationalism, and nuclear energy and radioactivity. The respondent's thoughts about the social dimension of the EC were explored by questions that asked whether the respondent thought the "Community Charter of Fundamental Social Rights" was a good thing, and what policy areas the respondent would favor or disfavor for inclusion in the charter. On matters concerning changes in Eastern Europe, respondents were asked how much they agreed with several proposals for how the EC could best respond to the changes, and which was more important--the Single European Market, the unification of the two German states, or the unification of Western and Eastern Europe. Other questions asked how threatening fascists and communists were to the respondent's country's way of life and whether the respondent agreed with statements detailing the level of participation of fascists and communists in the political process. The topic of sports and nationalism was addressed through questions asking whether respondents felt prouder when national sports teams won or when European teams won, whether they would favor Olympic teams from EC countries wearing a European Emblem, and whether the number of foreign "football" (soccer) players on club teams in the EC countries should be limited. The final line of query dealt with nuclear energy and radioactivity, and asked for the respondent's agreement with statements about the production, management, and wastes of nuclear power, how satisfied the respondent was with the information about radioactivity, and how much the respondent trusted several different sources of information about radioactivity. Demographic and other background information was gathered on number of people residing in the home, size of locality, home ownership, trade union membership, region of residence, and occupation of the head of household, as well as the respondent's age, sex, marital status, education, occupation, work sector, religion, religiosity, subjective social class, left-right political self-placement, and opinion leadership.