Current ownership information for professional sports teams including primary and minority owners

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

Major US Sports Venues Usage and Affiliations

Team, League, Conference and Population Usage Records

By Homeland Infrastructure Foundation [source]

About this dataset

This dataset provides detailed information on major sport venues, along with their usage and affiliations. It includes data related to the National Association for Stock Car Auto Racing, Indy Racing League, Major League Soccer, Major League Baseball, National Basketball Association, Women's National Basketball Association, National Hockey League, National Football League, PGA Tour, NCAA Division 1 FBS Football, NCAA Division 1 Basketball and thoroughbred horse racing.* This dataset contains columns such as USE (which describes the type of use for the venue), TEAM (the team associated with the venue), LEAGUE (the league associated with the venue) , CONFERENCE (the conference associated with the venue), DIVISION (the division associated with the venue), INST_AFFIL(the institution affiliation associatedwith the venue), TRACK_TYPE(type of track at a specific point in time or over its complete life-cycle) as well as LENGTH_MILEGE ('length of track in milege') ROOF_TYPE(The type of roof covering used at a specific point in time or over its complete life-cycle) and plenty other variables. With this astounding range and quantity of data points -- spanning countries across different continents and leagues -- explore patterns in sports games you never even thought were possible!

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How to use the dataset

The MajorUS Sports Venues Usage and Affiliations dataset includes data on major sports venues from leagues including National Association for Stock Car Auto Racing (NASCAR), Indy Racing League (IRL), Major League Soccer (MLS), Major League Baseball (MLB), National Basketball Association (NBA), Women's National Basketball Association (WNBA), National Hockey League (NHL), National Football League(NFL), PGA Tour, NCAA Division 1 FBS Football, NCAA Division 1 Basketball, and thoroughbred horse racing. The columns provided include USE_, USE_POP, TEAM, LEAGUE,CONFERENCE,DIVISION ,INST_AFFIL,TRACK_TYPE. LENGTH_MI,ROOF_TYPESTADIUM_SH,`ADDDATAE , USEWEBSITE',and'COMMENTS'.

The `USE~ column specifies the type of usage of each venue at which point can be college athletics or professional athletics. The corresponding column to this is the ‘USE~POP’ which informs you about how many people are using each venue for a particular sport at a given time. For example if there were 6 NHL games being played that day then USE~ would say “professional Athletics” while USE~POP would state “NNN” reflecting there were NNN people spectating those events collectively: The next column is TEAM which represents what team sponsors or manages each venue or what teams will be playing in them.

 Following on from TEAM is LEAGUE; here you can find out what league each team represents such as MLB, NBA etc… The next three columns CONFERENCE/DIVISION/INST ~ AFFIL provide more specific details as they blur into collegiate level as well where CONFERENCE indicates which conference they belong within their respective division: while INST ~ AFFIL states its affiliated school body e.g.: Southeastern Conference > University of Arkansas Razorbacks . Rounding up our overview these last three columns TRACK ~ TYPE/LENGTH

Research Ideas

• Analyzing the affiliations and usage of different sports venues to determine which teams or leagues have the most presence across a certain geographic area.
• Comparing different stadiums within a given conference in terms of their roof type, track length, and stadium shape for optimal design features for new construction projects.
• Placing sponsorships or advertisements within each sporting arena based on audience size, league popularity, and team affiliation within a given conference or division

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contribut...

Discover the booming sports data service market! This analysis reveals a $3.146 billion market in 2025, projected for rapid growth (12-15% CAGR) driven by data analytics, esports, and fantasy sports. Explore key trends, segments (sports data collection, analysis), top companies, and regional insights.

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-Portuguese 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 •Portuguese 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 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 global Sports Data API Interface market is booming, projected to reach $1.06 billion by 2033. Discover key trends, leading companies (Sportradar, Genius Sports), and regional market shares in this in-depth analysis. Learn how AI, esports, and evolving regulations are shaping the future of sports data.

Complete FC26 Player Database. Split into 3 files, based on gender (men, women, combined). All files have the following header: ID,Rank,Name,GENDER,OVR,PAC,SHO,PAS,DRI,DEF,PHY,Acceleration,Sprint Speed,Positioning,Finishing,Shot Power,Long Shots,Volleys,Penalties,Vision,Crossing,Free Kick Accuracy,Short Passing,Long Passing,Curve,Dribbling,Agility,Balance,Reactions,Ball Control,Composure,Interceptions,Heading Accuracy,Def Awareness,Standing Tackle,Sliding Tackle,Jumping,Stamina,Strength,Aggression,Position,Weak foot,Skill moves,Preferred foot,Height,Weight,Alternative positions,Age,Nation,League,Team,play style,url,GK Diving,GK Handling,GK Kicking,GK Positioning,GK Reflexes,card

This dataset corresponds to actual data from the functioning of a sports facility and refers to all new users who signed up between June 1st 2014 and October 31st 2019. Demographic and service level agreement (SLA) data is collected by operators in the process of enrolling users in the activities they intend to practice. The data regarding the frequency of the sports facility and classes were obtained by the access control system where each user identifies himself with an RFID card to access the facilities on the days and times agreed in his SLA.

China Other Sports: Total Liability data was reported at 8.264 RMB bn in Oct 2015. This records an increase from the previous number of 8.250 RMB bn for Sep 2015. China Other Sports: Total Liability data is updated monthly, averaging 6.645 RMB bn from Dec 1998 (Median) to Oct 2015, with 102 observations. The data reached an all-time high of 8.798 RMB bn in May 2015 and a record low of 1.532 RMB bn in Dec 1999. China Other Sports: Total Liability data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIH: Sporting Good: Other Sports.

40933 Global export shipment records of Sporting Goods with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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

Comprehensive dataset containing 445 verified Sports Authority Sporting Goods locations in United States with complete contact information, ratings, reviews, and location data.

China Other Sports: Total Asset data was reported at 18.904 RMB bn in Oct 2015. This records an increase from the previous number of 18.842 RMB bn for Sep 2015. China Other Sports: Total Asset data is updated monthly, averaging 11.867 RMB bn from Dec 1998 (Median) to Oct 2015, with 102 observations. The data reached an all-time high of 19.522 RMB bn in May 2015 and a record low of 2.625 RMB bn in Dec 1999. China Other Sports: Total Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIH: Sporting Good: Other Sports.

ProPlayerTeam is a premier sports apparel provider specializing in team uniform packages, player and outerwear packages for various sports. The company offers an extensive range of customizable options for teams, schools, and clubs, including hats, headwear, bags, and more.

With years of experience in the industry, ProPlayerTeam has established itself as a trusted partner for teams seeking high-quality, affordable, and customizable sports apparel. Its commitment to excellent customer service, competitive pricing, and excellent product quality has earned the company a loyal customer base across the country. Today, ProPlayerTeam is a go-to destination for teams seeking to outfit themselves in style and confidence.

Snapshot img

Sports Analytics Market Size 2025-2029

The sports analytics market size is valued to increase USD 8.4 billion, at a CAGR of 28.5% from 2024 to 2029. Increase in adoption of cloud-based deployment solutions will drive the sports analytics market.

Major Market Trends & Insights

North America dominated the market and accounted for a 38% growth during the forecast period.
By Type - Football segment was valued at USD 749.30 billion in 2023
By Solution - Player analysis segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 584.13 million
Market Future Opportunities: USD 8403.30 million
CAGR : 28.5%
North America: Largest market in 2023

Market Summary

The market represents a dynamic and ever-evolving industry, driven by advancements in core technologies and applications. Notably, the increasing adoption of cloud-based deployment solutions and the growth in use of wearable devices are key market trends. These developments enable real-time data collection and analysis, enhancing team performance and fan engagement. However, the market faces challenges, such as limited potential for returns on investment.
Despite this, the market continues to expand, with a recent study indicating that over 30% of sports organizations have adopted sports analytics. This underscores the market's potential to revolutionize the way sports are managed and enjoyed.

What will be the Size of the Sports Analytics Market during the forecast period?

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How is the Sports Analytics Market Segmented and what are the key trends of market segmentation?

The sports analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Football
  Cricket
  Hockey
  Tennis
  Others


Solution

  Player analysis
  Team performance analysis
  Health assessment
  Fan engagement analysis
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Type Insights

The football segment is estimated to witness significant growth during the forecast period.

The market is experiencing significant growth, driven by the increasing demand for data-driven insights in football and other popular sports. According to recent reports, the market for sports analytics is currently expanding by approximately 18% annually, with a projected growth rate of around 21% in the coming years. This growth can be attributed to the integration of statistical modeling techniques, game outcome prediction, and physiological data into tactical decision support systems. Skill assessment metrics, win probability estimation, and wearable sensor data are increasingly being used to enhance performance and optimize training programs. Data visualization tools, data-driven coaching decisions, deep learning applications, and machine learning models are revolutionizing player workload management and predictive modeling algorithms.

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The Football segment was valued at USD 749.30 billion in 2019 and showed a gradual increase during the forecast period.

Three-dimensional motion analysis, recruiting optimization tools, sports data integration, and computer vision systems are transforming performance metrics dashboards and motion capture technology. Biomechanical analysis software, fatigue detection systems, talent identification systems, game strategy optimization, opponent scouting reports, athlete performance monitoring, video analytics platforms, real-time game analytics, and injury risk assessment are all integral components of the market. These technologies enable teams and organizations to make informed decisions, improve player performance, and reduce the risk of injuries. The ongoing evolution of sports analytics is set to continue, with new applications and innovations emerging in the field.

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Regional Analysis

North America is estimated to contribute 38% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

See How Sports Analytics Market Demand is Rising in North America Request Free Sample

The market in the North American region is experiencing significant growth due to technological advancements and increasing investments. In 2024, the US and Canada were major contributors to this expansion. The adoption of sports software is a driving factor, with a high emphasis on its use in American football, basketball, and baseball. Major sports leagues in the US are

Access comprehensive NFL data, including historic stats and results, with datasets available in various formats. Perfect for sports analysts and enthusiasts, this product offers a free trial to explore detailed National Football League data for insights and research.

The UK sports promoters market, a dynamic sector experiencing robust growth, is projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 7% from 2025 to 2033. This expansion is fueled by several key drivers. Firstly, the enduring popularity of major sporting events like Premier League football and international tennis tournaments creates significant demand for professional promotion services. Secondly, the increasing sophistication of media rights deals, coupled with the growth of digital platforms and streaming services, contributes to substantial revenue streams for promoters. The rise of influencer marketing and targeted advertising further enhances promotional reach and effectiveness. Finally, the ever-growing appetite for live experiences fuels ticket sales and sponsorships, strengthening the financial foundations of the industry. While challenges exist, such as the economic climate's influence on sponsorship and ticket sales, the overall trajectory remains positive. The segmentation of the market, encompassing various sports (Soccer, Formula 1, Basketball, Tennis, and others) and revenue sources (Media Rights, Merchandising, Tickets, and Sponsoring), presents significant opportunities for diversification and strategic growth. Prominent players like Matchroom Sport and Premier League showcase the market's established nature and the potential for consolidation through mergers and acquisitions. The geographic concentration of the UK market presents opportunities for expansion. While the UK forms a core market, international expansion strategies are vital for continued growth. Emerging markets in Asia and parts of Africa, particularly those with rapidly expanding middle classes and growing sports fan bases, offer lucrative prospects for UK sports promoters. However, navigating differing regulatory environments and cultural nuances in these markets will be key to success. Furthermore, the evolving preferences of sports fans, including a demand for enhanced digital engagement and personalized experiences, require promoters to adopt innovative strategies. The sector's resilience and adaptability are crucial for sustaining the projected growth and capturing the opportunities presented by the evolving sports landscape. This necessitates strategic investments in digital infrastructure, data analytics, and talent acquisition. This report provides a comprehensive analysis of the UK Sports Promoters Market, covering the period 2019-2033. It delves into market size, segmentation, trends, and future growth projections, providing invaluable insights for stakeholders across the sports industry. With a base year of 2025 and an estimated year of 2025, the forecast period extends to 2033, offering a long-term perspective on this dynamic sector. This in-depth study utilizes data from the historical period (2019-2024) to provide a robust foundation for future predictions. Recent developments include: June 2023: Sport-tech 50 introduced Talent Pathway ID, a groundbreaking addition to its lineup, offering AI-powered performance analysis for both athletes and coaches., April 2023: Madison Square Garden Entertainment Corp. celebrated the successful completion of its spin-off from Sphere Entertainment Co., marking the start of trading on the New York Stock Exchange under the ticker symbol "MSGE." Sphere Entertainment still retains approximately 33% ownership of MSG Entertainment's outstanding shares.. Key drivers for this market are: Increase in Number of Spectators Watching Sports. Potential restraints include: Increase in Number of Spectators Watching Sports. Notable trends are: Athletes Influencers is Driving the Market.

This dataset is containing player datas of players playing in the Premier League for the season 2022-23. The columns in the dataset are scrapped from FIFA 2022-23 game by EA Sports.