The brand valuation of Real Madrid CF decrease in 2023 to roughly 1.5 billion U.S. dollars, after a two-year decline. In 2019, the valuation of the famous Spanish soccer club's brand reached its highest peak at more than 1.8 billion dollars.

In 2023/24, Real Madrid's total revenue amounted to over one billion euros - more than any other soccer club in the world. This represented an increase of around 26 percent on the previous season.

The data presented here were used to explore the media coverage of the clasico, Real Madrid vs FC Barcelona played on Dec 10, 2011. In the qualitative table (Tabla cualitativa tramas clasico 10-D.xlsx) we can find all the details about the articles on the match : the media outlet, date, hour, headline, whether the header was a quotation, and the main characters of the article. In the quantitative table (Tabla cuantitativa clasico 10-D.xlsx) we can find the the absolut numbers for the match: number of articles on Real Madrid, number of articles on FC Barcelona, and partial percentages, all sorted by media outlet. Estos datos fueron utilizados para medir la cobertura mediática del clásico Real Madrid - FC Barcelona disputado el 10 de diciembre de 2011. En la tabla cualitativa (Tabla cualitativa tramas clasico 10-D.xlsx) se detallan todos los artículos: el medio de comunicación, la fecha de la noticia, la franja horaria, el titular, si era una cita textual o no, y los protagonistas de la noticia. En la tabla cuantitativa (Tabla cuantitativa clasico 10-D.xlsx) se hallan el total de las noticias sobre el FC Barcelona, sobre el Real Madrid, sobre el clásico, y sus porcentajes respecto al total de noticias deportivas y al total de noticias en general, ordenados por diarios online.

Data from clubs playing in the top division of the Spanish league between the 2010-11 and 2021-22 seasons.

Real Madrid Football Club reported a net finance loss of more than ************* euros in the twelve month period ended on *************. In the previous season, the famous Spanish soccer club experienced a similar annual loss. In the depicted years, 2014/2015 was the most difficult for Real Madrid's finances, with net losses amounting to approximately ************* euros.

The impressive wage budgets of Spanish soccer clubs

The two leading Spanish soccer squads, Real Madrid and FC Barcelona, are worldwide known due to their success in championships and the hefty salaries of their players. In 2013, La Liga —the highest men’s soccer division in Spain— introduced a salary limit for its member teams based on their annual revenue, costs, and debt from the previous season. Real Madrid had the highest salary cap for the season 2020/2021, surpassing FC Barcelona’s by more than ********** euros. Gareth Bale was the best-paid Real Madrid player and one of the top 10 worldwide in 2021.

Real Madrid’s fandom in Spain

Challenging the most immediate guess, the Community of Madrid does not host the highest number of Real Madrid fan clubs in Spain. It is Andalusia, located in the south of the country, that takes the top place, with *** official clubs as of mid-2020. Castile-La Mancha and Extremadura also outranked the team’s home region, which in that same year counted *** fan clubs.

This dataset provides information about the number of properties, residents, and average property values for Real Madrid Lane cross streets in Tampa, FL.

Context

Data set containing Tweets captured during the 2018 UEFA Champions League Final between Real Madrid and Liverpool.

Content

All Twitter APIs that return Tweets provide that data encoded using JavaScript Object Notation (JSON). JSON is based on key-value pairs, with named attributes and associated values. The JSON file include the following objects and attributes:

• Tweet - Tweets are the basic atomic building block of all things Twitter. The Tweet object has a long list of ‘root-level’ attributes, including fundamental attributes such as id, created_at, and text. Tweet child objects include user, entities, and extended_entities. Tweets that are geo-tagged will have a place child object.

  • User - Contains public Twitter account metadata and describes the author of the Tweet with attributes as name, description, followers_count, friends_count, etc.

  • Entities - Provide metadata and additional contextual information about content posted on Twitter. The entities section provides arrays of common things included in Tweets: hashtags, user mentions, links, stock tickers (symbols), Twitter polls, and attached media.

  • Extended Entities - All Tweets with attached photos, videos and animated GIFs will include an extended_entities JSON object.

  • Places - Tweets can be associated with a location, generating a Tweet that has been ‘geo-tagged.’

More information here.

Acknowledgements

I used the filterStream() function to open a connection to Twitter's Streaming API, using the keyword #UCLFinal. The capture started on Saturday, May 27th 6:45 pm UCT (beginning of the match) and finished on Saturday, May 27th 8:45 pm UCT.

Inspiration

• Time analysis
• Try text mining!
• Cross-language differences in Twitter
• Use this data to produce a sentiment analysis
• Twitter geolocation
• Network analysis: graph theory, metrics and properties of the network, community detection, network visualization, etc.

As of 2024, Real Madrid had won 36 La Liga titles, more than any other club in the league. Meanwhile, Los Blancos also hold the record for the most UEFA Champions League titles won, with 15.

This dataset contains detailed league performance statistics for the nominees of the 2024 Ballon D'Or across major European football leagues. The stats cover the 2023-2024 season, showcasing metrics such as goals, assists, expected goals (xG), expected assists (xAG), progression metrics, and more.

Men's Ballon d'Or 2024 Nominees:

• Jude Bellingham (England, Real Madrid)
• Hakan Çalhanoğlu (Turkey, Inter)
• Dani Carvajal (Spain, Real Madrid)
• Rúben Dias (Portugal, Manchester City)
• Artem Dovbyk (Ukraine, Dnipro / Girona / Roma)
• Phil Foden (England, Manchester City)
• Alejandro Grimaldo (Spain, Bayer Leverkusen)
• Erling Haaland (Norway, Manchester City)
• Mats Hummels (Germany, Borussia Dortmund)
• Harry Kane (England, Bayern Munich)
• Toni Kroos (Germany, Real Madrid)
• Ademola Lookman (Nigeria, Atalanta)
• Emiliano Martínez (Argentina, Aston Villa)
• Lautaro Martínez (Argentina, Inter )
• Kylian Mbappé (France, Paris Saint-Germain / Real Madrid)
• Martin Ødegaard (Norway, Arsenal)
• Dani Olmo (Spain, Leipzig / Barcelona)
• Cole Palmer (England, Manchester City / Chelsea)
• Declan Rice (England, Arsenal)
• Rodri (Spain, Manchester City)
• Antonio Rüdiger (Germany, Real Madrid)
• Bukayo Saka (England, Arsenal)
• William Saliba (France, Arsenal)
• Federico Valverde (Uruguay, Real Madrid)
• Vinícius Júnior (Brazil, Real Madrid)
• Vitinha (Portugal, Paris Saint-Germain)
• Nico Williams (Spain, Athletic Club)
• Florian Wirtz (Germany, Bayer Leverkusen)
• Granit Xhaka (Switzerland, Bayer Leverkusen)
• Lamine Yamal (Spain, Barcelona)

The winner of the Men's Ballon d'Or goes to the best male player voted by a panel of soccer journalists representing the top 100 countries in the FIFA Men's Rankings.

The Ballon d'Or ceremony will be held on Oct. 28, 2024.

For the first time since 2003, though, Cristiano Ronaldo and Lionel Messi were not included among the nominees!

Context

Is time to generate insights and find ideas big... come on¡¡¡

FCB and Real Madrid are enemy (speaking about soccer) along history. This dataset is a result a lot of video analysis with about all over 25 goals scored by Lionel Messi against real Madrid since 2005. The data was compiled from Youtube and some sports web page, then were verified with official site of BBVA League.

Content

It is very useful to know details of a player like Lionel Messi that allow characterizing his game from characteristics such as: the location of the goals within the soccer goal, the direction of his penaltys or the minutes in which he scores more goals. The metrics derived from football (soccer) should be beyond data such as Goals, Shots, Fouls, Cards. Really, this dataset will keep sports analytics enthusiasts awake because the number of discovering that can be asked is huge.

Dataset Features

Here are the columns description in Messi_Goles vs RM.csv file, this file contains 18 features than define 25 goal scored by Lionel Messi. The most categories are binary, "1" it is true and "0" it is false.

Nº Season, time_min: time in which the goal was scored (minutes), tourn_type: CHA (UEFA Champions League), SCU (Super Cup), LEA (BBVA League), feet_goal: R (if scored using right feet), L (if scored using left feet), head: (if scored using head), goal_distance, visiting: (if scored out of Camp Nou), home: (if scored in Camp Nou), 1t: (if scored at first half), 2t: (if scored at second half), w: (if Barcelona won that game), l: (if Barcelona did loses the game), tie: (if Barcelona tie that game), goal_scored_ right: (if goal is scored in right side of arc), goal_scored_ center: ((if goal is scored in center of arc), goal_scored_ left: (if goal is scored in left side of arc), penalty, free_shot_goal,

Inspiration

Using this, is possible to know: if Lionel MEssi scored more goal at first half second half game, What is mean distance of goals, if scored few in Camp Nou and many other statistics.

Also is important predict the shots location during the next game against Real Madrid, try and do it using machine learning algorithms, will be nice for all.

In case I've missed extracting some useful information, you are gladly invited to do so and share your findings.

Including wages and other benefits, Real Madrid Football Club spent more than *** million euros covering the expenses of their top soccer team's staff in the season ended on June 30, 2020. Meanwhile, the costs of the basketball team's players and coaching staff amounted to roughly one-tenth of that figure.

This dataset contains data for last 10 seasons of Spanish La Liga including current season. The data is updated on weekly basis via Travis-CI. The dataset is sourced from http://www.football-data.co.u...

In the 2022/2023 season of La Liga – Spain's highest professional soccer league – Real Madrid achieved 78 points in total. This was a low result in comparison to the previous three seasons. In 2011/2012, this Spanish soccer club achieved its highest result since 2006/2007.

This dataset provides information about the number of properties, residents, and average property values for R Avenue cross streets in Madrid, IA.

Explore the epic showdown between Messi and Cristiano: goals, assists, averages, and more. A deep dive into the stats that define their legacy.

According to the source, the net commercialization and advertising revenues of Real Madrid Club de Fútbol in the 2019/2020 season were observed to be the highest for sponsorships and licenses with a total amount of *** million euros.

This is Dataset about the "World’s Most Valuable Sports Teams 2021". I have Scraped this Dataset Using Selenium From Forbes website . It contains 50 most valuable Sports team of World.

Explore this Dataset and you will find interesting things.

One thing that I noticed is Real Madrid or Barcelona are not richest club and there are no IPL team there :)

Manchester City. Real Madrid

Real Madrid finished the 2022/2023 season of the Spanish highest professional soccer league in the second position of the table. In the previous year, the famous club had won its ****** title since 2010/2011.

As of 2025, Real Madrid had won La Liga more times than any other club, with 36 titles in total. Meanwhile, Barcelona had won the league on 28 occasions.