This dataset contains facilities that were designed specifically with sports in mind. These facilities are not the only places within parks where sports can be played. This layer contains all of the facilities that can be permitted for athletic activity and facilities that are specifically designated for sports but are not available for permitting.

This information is used by the Citywide Event Management System (CEMS) to book permits for Parks' athletic facilities. More information about athletic facility permits can be viewed at https://www.nycgovparks.org/permits/

This dataset uses the standard NYC projection of NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet. Lengths are in feet and areas in square feet.

Data Dictionary: https://docs.google.com/spreadsheets/d/1iIhwuLBlIus2n1EQ2a329jX4oJciXt9dEaxOFPpHfE8/edit?usp=sharing

Sport DB 2.0 is a collection of 168 cardiorespiratory datasets, acquired through wearable sensors and portable devices from 130 subjects while practicing 11 different sports during training and competition. Each dataset consists of demographic data (sex, age, weight, height, smoking habit, alcohol consumption, caffeine consumption, weekly training rate, presence of diseases and dietary supplement consumption), cardiorespiratory signals (electrocardiogram, heart-rate series, RR-interval series, and/or breathing-rate series), and training note data (sport-dependent training protocol). Cardiorespiratory signals were acquired through the BioHarness 3.0 by Zephyr, the KardiaMobile by AliveCor, the Kardia 6L by AliveCor, the Polar M400 by Polar, and heart-rate sensor H7 by Polar, on the playing field or gym following a specific acquisition protocol for each sport. Sport DB 2.0 may be useful to support research activity finalized to investigate the cardiorespiratory pathophysiological mechanisms triggered by sport, to develop automatic algorithms for monitoring athletes’ health while practicing sports, to validate the reliability of wearable sensors and portable devices in sport, and to develop data analytics techniques and artificial intelligence applications to support sport sciences.

Burattini, Laura; Romagnoli, Sofia; Sbrollini, Agnese; Morettini, Micaela; Nocera, Antonio; Bondi, Danilo; Pietrangelo, Tiziana; Verratti, Vittore (2023), “Sport DB 2.0”, Mendeley Data, V1, doi: 10.17632/kzkjkt7mx2.1

This dictionary was produced within the French national project EuRADic (European and Arabic Dictionaries and Corpora), as part of the Technolangue programme funded by the French Ministry of Industry. A needs study in the field of sport terminology, which covered an overall category of users, led to a partial restructuring of an already existing database (English-French) and a re-evaluation of options. All choices were based on the results of this needs study, which clearly highlighted the impact of open corpora (Internet) and exploration tools for the production of dictionaries as well as for the carrying out of terminography activity. The existing database (English-French) was subject to a systematic revision and updating with the following purposes:•Spell checking•Term production verificationThe principles of terminology unit production were modified according to current technical progress. All nomenclature entries were subject to a systematic revision.•Equivalence compliance verificationEquivalences were systematically checked and corrected (7,044 corrections or adjustments).•Source verification For reasons of scientific rigour (and right protection), sources and references that were exploited for each dictionary entry were systematically checked (40,000 verifications for a total of 11,256 modifications).The results are presented in the form of MS ACCESS databases.The current set consists of an English-French-Arabic trilingual database which includes the following information for each language:•Mandatory information: term, reference/source, grammar•Mandatory and common information: field (sport), domain, additional circumscription •Optional information: definition and source OR linguistic and source reference, combinatorics, other form, synonym, variantThe query enables to search for:•French term •English term •Arabic term •sport (field, domain and special features ++)The EuRADic sport dictionary is provided under the following different subsets:ELRA-T0372-01 Multilingual Dictionary of Sports – English-French-Greek-Arabic-German-Spanish-Portuguese multilingual databaseELRA-T0372-02 Multilingual Dictionary of Sports - English-French bilingual databaseELRA-T0372-03 Multilingual Dictionary of Sports - English-French-Greek trilingual databaseELRA-T0372-04 Multilingual Dictionary of Sports - English-French-Arabic trilingual databaseELRA-T0372-05 Multilingual Dictionary of Sports - English-French-German trilingual databaseELRA-T0372-06 Multilingual Dictionary of Sports - English-French-Spanish trilingual databaseELRA-T0372-07 Multilingual Dictionary of Sports - English-French-Portuguese trilingual database

Sports Data Analytics Service Market Outlook

The global sports data analytics service market size was valued at approximately $2.3 billion in 2023 and is projected to reach around $6.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.6% during the forecast period. This robust growth is primarily driven by increased investments in sports technology, the rising importance of data-driven decision-making in sports, and the growing adoption of advanced analytics to enhance player performance and fan engagement.

The surge in the adoption of sports data analytics is attributed to the increasing competitive nature of sports, where teams and individual athletes are leveraging data to gain a strategic edge. Data analytics provides insights into player performance, injury risks, and optimal training regimens, which can significantly impact the outcomes of games and overall team performance. This, coupled with the rising investments in sports technology, is propelling the market growth. Additionally, the growing popularity of fantasy sports and sports betting has further fueled the demand for real-time data analytics to make informed decisions.

Another significant growth factor is the rising focus on enhancing fan engagement and experience. Sports organizations are increasingly using data analytics to understand fan preferences, behavior, and sentiment. This information is crucial for tailoring marketing strategies, improving fan interactions, and ultimately increasing revenue from ticket sales, merchandise, and digital platforms. The integration of advanced technologies, such as artificial intelligence (AI) and machine learning (ML), is also enabling more sophisticated data analysis, driving further growth in the market.

Performance Analytics plays a crucial role in the sports data analytics service market, offering teams and athletes the ability to delve deeper into their performance metrics. By leveraging performance analytics, sports organizations can track and analyze various aspects of athletic performance, from speed and agility to endurance and skill execution. This data-driven approach not only aids in identifying areas for improvement but also helps in crafting tailored training programs that enhance overall performance. The integration of performance analytics into sports strategies allows for a more comprehensive understanding of both individual and team dynamics, ultimately leading to more informed decision-making and competitive advantages on the field.

Moreover, the healthcare and fitness tracking aspects of sports data analytics are gaining traction. With a growing emphasis on athlete health and well-being, sports teams are using data analytics to monitor players' physical conditions, predict injuries, and design personalized training programs. This proactive approach not only enhances performance but also extends players' careers and reduces healthcare costs. The increasing availability of wearable devices and IoT sensors is further supporting the collection and analysis of health-related data.

Regionally, North America is expected to dominate the sports data analytics service market, driven by the presence of major sports leagues, high technological adoption, and substantial investments in sports analytics. Europe is also anticipated to witness significant growth, supported by the increasing popularity of sports analytics among football clubs and other sports organizations. The Asia Pacific region is expected to emerge as a lucrative market due to the growing sports industry and rising investments in sports technology in countries like China, India, and Japan.

The rise of Fantasy Sports Service has significantly contributed to the growing demand for sports data analytics. Fantasy sports enthusiasts rely heavily on real-time data and analytics to make informed decisions about player selections and game strategies. This burgeoning interest in fantasy sports has prompted sports organizations and analytics firms to develop more sophisticated data solutions that cater to the unique needs of fantasy sports players. By providing detailed player statistics, performance forecasts, and injury updates, fantasy sports services enhance the user experience and engagement, driving further growth in the sports data analytics market. The intersection of fantasy sports and data analytics continues to open new avenues for innovation and fan in

The Physiological Analysis of Female Basketball players (PHYAFB) database is a valuable resource for studying the physiological demands placed on female amateur basketball players during official games. This database includes heart rate data from ten female players aged between 18 and 26 years, which were collected during ten high-stress matches played during a crucial relegation phase. In total, almost 350,000 heart rate samples have been reported. The data is stored in CSV format, facilitating easy access and analysis, and the database comes with Python source code to support initial examination.

The primary aim of the PHYAFB database is to provide a useful reference for other teams facing similar situations. Furthermore, the database represents a unique and valuable resource for sports scientists, coaches, and trainers seeking to comprehend the physiological demands of female basketball players during official competitions. Through the analysis of heart rate data, coaches and trainers can identify the intensity and duration of physical activity during games, enabling the development of more effective training programs. Additionally, the database can be used to compare the physiological demands placed on male and female basketball players or to investigate the impact of different game strategies on player performance.

Data from the “Corps & Diplomas” database produced by the Ministry of Sports, Youth, Popular Education and Association Life, bringing together the texts published in the Official Journal (laws, decrees, decrees, decrees, ordinances) from 1937 (date of creation of the popular sports certificate) until 1985 (the date of the creation of bodies of sports teachers and advisers of popular education and youth) concerning bodies and diplomas in the Ministry of Youth and Sports. This database is the result of work initiated in March 2004 by the History Committee and funded by INJEP and the Delegation to Employment and Training (DEF). Content of the base: 338 references.

Sports Data Services Market Outlook

The global Sports Data Services market size reached USD 5.4 billion in 2024, according to our latest research. The market is witnessing a robust growth trajectory, with a projected CAGR of 19.2% from 2025 to 2033. By the end of 2033, the Sports Data Services market is forecasted to attain a value of USD 23.7 billion. This remarkable expansion is driven by the increasing digitization of sports, rising demand for real-time analytics, and growing investments in advanced data technologies across the sports ecosystem.

One of the primary growth drivers for the Sports Data Services market is the escalating adoption of data analytics for performance optimization and strategic decision-making. Sports organizations, ranging from professional leagues to grassroots teams, are leveraging advanced analytics platforms to evaluate player performance, monitor health metrics, and devise winning strategies. The integration of wearable technology and IoT devices has further amplified the ability to collect granular data, enabling coaches and analysts to make data-driven decisions that enhance both individual and team outcomes. This trend is particularly pronounced in high-stakes sports such as football, basketball, and cricket, where marginal gains can translate into significant competitive advantages.

Another significant factor contributing to market growth is the surge in fan engagement initiatives powered by data-driven solutions. Sports franchises and media companies are increasingly utilizing real-time statistics, predictive analytics, and interactive platforms to deliver immersive experiences to fans. The proliferation of fantasy sports, personalized content delivery, and augmented reality applications has created new revenue streams and fostered deeper connections between fans and their favorite teams. As digital consumption of sports content continues to rise, the demand for sophisticated data services that can provide actionable insights and engaging storytelling is expected to accelerate further.

The expanding role of sports betting and gambling also plays a pivotal role in the growth of the Sports Data Services market. Accurate, real-time data has become indispensable for betting companies, ensuring fair play and enhancing the transparency of betting activities. Regulatory developments in key markets, such as the legalization of sports betting in parts of North America and Europe, have spurred investments in secure and reliable data infrastructure. This, in turn, has attracted new entrants and increased competition, fostering innovation and driving the adoption of advanced data services in the betting segment.

In the realm of sports betting, the demand for accurate and timely data has never been more critical. Sports Betting Data Feeds play a crucial role in this ecosystem, providing sportsbooks with the real-time information necessary to set odds, manage risks, and ensure compliance with regulatory standards. These data feeds are meticulously curated to deliver up-to-the-minute statistics, player information, and game outcomes, which are essential for both operators and bettors. As the sports betting industry continues to expand, particularly in regions where legal frameworks are evolving, the reliance on robust data feeds is expected to grow, driving further innovation and investment in this segment.

From a regional perspective, North America continues to dominate the Sports Data Services market, accounting for the largest share in 2024, followed closely by Europe. The Asia Pacific region is emerging as a high-growth market, fueled by the rapid digitalization of sports, growing investments in infrastructure, and the rising popularity of international sports leagues. Latin America and the Middle East & Africa are also witnessing increased adoption, albeit at a slower pace, as local sports organizations and broadcasters begin to recognize the value of data-driven insights. The global landscape is characterized by a dynamic mix of established players and innovative startups, each contributing to the ongoing evolution of the market.

The H&M Sports Apparel Data Set is a comprehensive dataset of H&M sports apparel. The data set includes product information, prices, and reviews. It is a valuable resource for anyone who is interested in sports apparel, whether you are a shopper, a researcher, or a data scientist.

The data set contains over 10,000 products, including clothing, shoes, and accessories. Each product is described in detail, including the product name, product description, product image, product price, and product reviews. The product reviews are particularly valuable, as they provide insights into the quality and value of the products.

The data set is also organized by sport, so you can easily find the products that you are interested in. For example, if you are looking for running shoes, you can simply filter the data set by the "Running" sport.

The H&M Sports Apparel Data Set is a valuable resource for anyone who is interested in sports apparel. It is a comprehensive and well-organized data set that includes product information, prices, and reviews. The data set can be used for a variety of purposes, including shopping, research, and data science.

Here are some of the ways that the data set can be used:

• Shopping: The data set can be used to find the best deals on sports apparel. You can filter the data set by price, sport, and other criteria to find the perfect products for your needs.
• Research: The data set can be used to research trends in sports apparel. You can analyze the data to see which products are popular, which products are getting good reviews, and which products are on sale.
• Data science: The data set can be used to build models that predict the demand for sports apparel. You can use the data to predict which products will be popular, which products will be profitable, and which products will be discontinued.

The H&M Sports Apparel Data Set is a valuable resource for anyone who is interested in sports apparel. It is a comprehensive and well-organized data set that includes product information, prices, and reviews. The data set can be used for a variety of purposes, including shopping, research, and data science.

Sports Data Service Market Outlook

The global sports data service market size was valued at approximately $3.9 billion in 2023 and is projected to reach around $12.5 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 13.6% during the forecast period. This impressive growth is driven by an increasing reliance on data analytics, advancements in technology, and the rising importance of data-driven decision-making in sports.

One significant growth factor in the sports data service market is the escalating adoption of advanced analytics by professional sports teams and organizations. These entities are increasingly utilizing data analytics to gain insights into player performance, optimize team strategies, and enhance overall operational efficiency. The use of sophisticated software and hardware for collecting, analyzing, and interpreting large volumes of data has become crucial, helping teams to make informed decisions, improve training regimens, and minimize the risk of injuries. This trend is anticipated to continue driving market expansion.

Another noteworthy driver is the growing importance of fan engagement in the sports industry. Sports organizations are leveraging data services to understand fan behavior, preferences, and engagement patterns. This data is used to create personalized experiences, improve fan interaction, and boost revenue streams through targeted marketing and promotions. The use of data analytics in fan engagement not only enhances the fan experience but also builds brand loyalty and drives long-term growth for sports organizations.

The integration of wearable technology and health assessment tools is also contributing to the market's growth. Wearables and other health monitoring devices provide real-time data on players' physical condition, helping coaches and health professionals to monitor fitness levels, detect potential injuries, and tailor training programs accordingly. This data-centric approach to health assessment is becoming increasingly prevalent across various sports disciplines, further propelling the demand for sports data services.

The evolution of Sport Software has played a pivotal role in transforming the sports data service market. With the advent of sophisticated software solutions, sports organizations can now analyze vast amounts of data with unprecedented accuracy and speed. Sport Software encompasses a range of tools and platforms that enable teams to gather and process data from various sources, including player performance metrics, game statistics, and fan engagement data. This technological advancement has not only streamlined data collection and analysis but also empowered sports entities to make data-driven decisions that enhance competitive performance and operational efficiency. As the demand for real-time insights and predictive analytics grows, Sport Software continues to evolve, offering more advanced features and capabilities that cater to the dynamic needs of the sports industry.

From a regional perspective, North America holds a significant share of the sports data service market, owing to the presence of major sports leagues, technological advancements, and high investments in sports analytics. Europe and Asia Pacific are also emerging as key regions due to the growing popularity of sports, increased focus on player performance, and rising investments in sports infrastructure. The Middle East & Africa and Latin America are expected to exhibit steady growth, driven by the increasing adoption of sports data services and rising awareness of the benefits of data-driven decision-making in sports.

Component Analysis

The sports data service market can be segmented by component into software, hardware, and services. Each of these components plays a critical role in the collection, analysis, and application of sports data. Software solutions are the backbone of sports data analytics, providing the tools necessary for data collection, processing, and analysis. These software solutions can range from basic statistical analysis programs to advanced machine learning and artificial intelligence platforms. The demand for robust and scalable software solutions is rising as sports organizations seek to harness the full potential of their data.

Hardware components, including wearables, sensors, and other data collection devices, are also integral to the sports data service market. These devices capture a wide range of data poin

.SPORT.HU Whois Database, discover comprehensive ownership details, registration dates, and more for .SPORT.HU TLD with Whois Data Center.

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. Maryland Sports (http://www.marylandsports.us/) has identified sport venues located within the State of Maryland. These venues offer opportunities to participate in free and fee-based - organized and pick-up - indoor and outdoor sports and physical fitness related activities in the area of Martial Arts. Last Updated: 08/2014 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Society/MD_SportVenues/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

The global Sports Data API Service market is experiencing robust growth, driven by the increasing popularity of sports betting, fantasy sports, and the rise of esports. The market, estimated at $2.5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. Firstly, the proliferation of mobile devices and high-speed internet access has made it easier for users to access and consume real-time sports data. Secondly, the demand for advanced analytics and data-driven insights within the sports industry is growing, driving the adoption of sophisticated API services. Finally, the increasing sophistication of sports betting platforms and fantasy sports leagues necessitates access to reliable and high-volume data streams, further propelling market growth. Key players such as Sportradar, Genius Sports, and Stats Perform are leading the market, constantly innovating and expanding their service offerings to cater to the evolving needs of their clients. The market is segmented by sports type (e.g., football, basketball, baseball), data type (e.g., live scores, player statistics, team performance), and user type (e.g., media companies, betting operators, fantasy sports platforms). While competitive intensity and data security concerns pose challenges, the overall market outlook remains positive, with substantial growth opportunities anticipated in emerging markets and through partnerships with technology providers. The market's growth trajectory is expected to remain strong through 2033, driven by continuous technological advancements and the expanding global reach of online sports engagement. The integration of AI and machine learning into sports data analysis will create new opportunities for personalized experiences and advanced predictive modeling. Furthermore, the increasing adoption of cloud-based solutions for data storage and processing will enhance efficiency and scalability for sports data API providers. However, maintaining data accuracy and integrity amidst the increasing volume of data generated remains a critical challenge. The ability to provide real-time, reliable, and comprehensive sports data will be crucial for maintaining a competitive edge in this rapidly expanding market. Regulation and compliance with data privacy laws will also play a significant role in shaping the future landscape of the sports data API service market.

212 verified sports games with complete statistics from MLB, NFL, College Football, and College Basketball

The Sports Data API market is experiencing robust growth, fueled by the increasing popularity of sports betting, fantasy sports, and the broader digitalization of the sports industry. The market's expansion is driven by the rising demand for real-time, accurate, and comprehensive sports data among various stakeholders, including sportsbooks, media companies, fantasy sports platforms, and app developers. Technological advancements, particularly in data analytics and machine learning, are enabling the creation of more sophisticated and valuable data products, further stimulating market growth. The integration of data APIs into existing platforms is becoming increasingly seamless, lowering the barrier to entry for businesses looking to leverage sports data. Competition is fierce, with established players like Sportradar and Genius Sports facing challenges from agile newcomers and specialized providers focusing on niche sports or data types. This competitive landscape fosters innovation and drives down prices, making sports data more accessible to a wider range of users. Despite the strong growth, the market faces challenges such as data security concerns, regulatory complexities related to gambling, and the need for consistent data standardization across different sports and leagues. The market is segmented by data type (e.g., live scores, player statistics, historical results), sport (e.g., soccer, basketball, American football), and customer type (e.g., media, gaming, betting). Geographic distribution shows significant traction in North America and Europe, but Asia-Pacific and other emerging markets are expected to witness rapid growth due to the expanding digital economy and rising interest in sports. While precise figures for market size and CAGR are not provided, a conservative estimate based on industry reports and comparable sectors indicates a market size of approximately $2 billion in 2025, growing at a compound annual growth rate (CAGR) of around 15% between 2025 and 2033. This projection reflects the ongoing technological advancements and the increasing demand for sophisticated sports data analytics capabilities. The forecast period (2025-2033) will likely see significant consolidation and strategic partnerships among existing players and further expansion of the market's geographical reach.

The global sports data service market, valued at $1736 million in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 9.4% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing popularity of sports globally, coupled with the rising demand for advanced analytics in sports management and broadcasting, is a major catalyst. Furthermore, technological advancements, particularly in data collection and processing, are enabling the development of sophisticated data services catering to diverse needs within the industry. The rise of fantasy sports and esports further contributes to market growth, as these sectors heavily rely on accurate and timely sports data. The market is segmented by application (Professional Clubs, State Management Agencies, Others) and type of service (Sports Data Collection Service, Sports Data Analysis Service, Others). Professional clubs and sports data analysis services currently dominate, but other segments are poised for significant growth driven by increased adoption in emerging markets and the expanding use of data for fan engagement and player development. Market restraints primarily involve data privacy concerns and the competitive landscape. Stringent regulations regarding data usage and player information necessitate robust security protocols, increasing operational costs. Simultaneously, the market is characterized by intense competition amongst established players and new entrants vying for market share. This competition leads to pricing pressure, making innovation and differentiation crucial for sustainable growth. North America currently holds a significant market share due to a well-established sports infrastructure and advanced technological capabilities. However, rapidly growing interest in sports and increasing digital penetration in Asia-Pacific and other regions indicate a promising expansion potential for these markets in the forecast period. Successful companies in this space are adapting to these factors by focusing on data security, providing personalized and niche services, and forging strategic partnerships to expand their reach and maintain a competitive edge.

This dataset is synthetically generated, containing information on 5,000 sports cars with characteristics modeled to resemble real-world data. It includes key automotive parameters such as horsepower, acceleration, price, fuel efficiency, CO₂ emissions, mileage, popularity, and insurance costs.

During the dataset's creation, we ensured realistic relationships between variables so that aspiring analysts could practice solving real-world analytical challenges. For example, more powerful cars tend to have higher CO₂ emissions, insurance costs depend on horsepower and rarity, and vehicle pricing is influenced by mileage, age, condition, and market demand.

🎯 Why Was This Dataset Created? Elite Sports Cars in Data is designed for beginner analysts, students, and researchers looking to master data analysis, machine learning, and visualization techniques. This dataset is ideal for solving various tasks, including:

✅ Regression – Predicting the price of a car based on its specifications (e.g., "How much is a 2019 Ferrari 488 GTB worth?"). ✅ Classification – Identifying a car’s popularity or condition category (e.g., "Will this car be in high demand on the market?"). ✅ Clustering – Grouping cars by similar characteristics (e.g., "How can we classify sports cars based on performance and price?").

🚀 What’s the Purpose of This Dataset? The goal of Elite Sports Cars in Data is to provide analysts with high-quality, realistic data without restrictions related to confidentiality or missing information. This dataset includes vehicles from different eras – from classic supercars to modern hybrid hypercars, allowing for the analysis of historical trends and cutting-edge technologies.

This dataset is not just a table of numbers – it's a tool to sharpen analytical skills. It helps you identify patterns, build models, and draw insights from data, just like analysts do in the automotive industry.

📊 Ready to push analytics to the limit? Let’s dive into the world of high-performance sports cars! 🏎💨

Use our trusted SportMonks Football API to build your own sports application and be at the forefront of football data today.

Our Football API is designed for iGaming, media, developers and football enthusiasts alike, ensuring you can create a football application that meets your needs.

Over 20,000 sports fanatics make use of our data. We know what data works best for you, so we ensured that our Football API has all the necessary tools you need to create a successful football application.

• Livescores and schedules Our Football API features extremely fast livescores and up-to-date season schedules, meaning your app will be the first to notify its customers about a goal scored. This also works to further improve the look and feel of your website.

• Statistics and line-ups We offer various kinds of football statistics, ranging from (live) player statistics to team, match and season statistics. And that’s not all - we also provide pre-match lineups for all important leagues.

• Coverage and historical data Our Football API covers over 1,200 leagues, all managed by our in-house scouts and data platform. That means there’s up to 14 years of historical data available.

• Bookmakers and odds Build your football sportsbook, odds comparison or betting portal with our pre-match and in-play odds collated from all major bookmakers and markets.

• TV Stations and highlights Show your customers where the football games are broadcasted and provide video highlights of major match events.

• Standings and topscorers Enhance your football website with standings and live standings, and allow your customers to see the top scorers and what the season's standings are.

113 Global import shipment records of Sport with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

China Value Added of Sport Industry: Sport Service Industry: Other Sport Service data was reported at 79.600 RMB bn in 2022. This records an increase from the previous number of 73.300 RMB bn for 2021. China Value Added of Sport Industry: Sport Service Industry: Other Sport Service data is updated yearly, averaging 70.700 RMB bn from Dec 2018 (Median) to 2022, with 5 observations. The data reached an all-time high of 79.600 RMB bn in 2022 and a record low of 61.600 RMB bn in 2018. China Value Added of Sport Industry: Sport Service Industry: Other Sport Service data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AVA: Value Added of Sport Industry.