26 datasets found
  1. d

    Real-Time API | Soccer Sports Data | Global Coverage | Football Betting...

    • datarade.ai
    .bin
    Updated Apr 10, 2025
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    VOdds (2025). Real-Time API | Soccer Sports Data | Global Coverage | Football Betting Strategy [Dataset]. https://datarade.ai/data-products/real-time-api-soccer-sports-data-global-coverage-footba-vodds-6d70
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    .binAvailable download formats
    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    VOdds
    Area covered
    Jersey, Holy See, Solomon Islands, Panama, Tajikistan, Belgium, Senegal, Papua New Guinea, Sint Eustatius and Saba, Bolivia (Plurinational State of)
    Description

    The UNITY Soccer API is a powerful solution for delivering highly accurate, real-time football (soccer) odds to sportsbooks, betting apps, affiliate platforms, and data-driven systems. As part of the broader UNITY Odds Feed API, the Soccer API is engineered for speed, scalability, and flexibility—allowing seamless integration of betting markets across the world’s most popular sport.

    The UNITY Soccer API is a robust, enterprise-grade solution that powers football betting platforms with real-time, historical, and highly accurate data. With extensive market coverage, flexible customization, and deep global reach, it supports any betting-related use case—whether you're building a full-scale sportsbook, launching a mobile app, or analyzing data for predictive modeling.

    Combined with a powerful support infrastructure, seamless integration tools, and competitive bookmaker data, the UNITY Soccer API is the ideal foundation for your next-generation football betting solution.

  2. l

    .soccer

    • leadsrank.com
    Updated Sep 17, 2024
    + more versions
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    Leads Rank (2024). .soccer [Dataset]. https://leadsrank.com/tld/type/gtld/
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    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Leads Rank
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Explore comprehensive insights in Leads Rank TLD profiles, featuring detailed information for .soccer. Utilize our API for efficient data access.

  3. a

    Maryland Sport Venues - Soccer

    • dev-maryland.opendata.arcgis.com
    • data.imap.maryland.gov
    • +1more
    Updated Aug 1, 2014
    + more versions
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    ArcGIS Online for Maryland (2014). Maryland Sport Venues - Soccer [Dataset]. https://dev-maryland.opendata.arcgis.com/datasets/maryland-sport-venues-soccer
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    Dataset updated
    Aug 1, 2014
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    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 Soccer.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Society/MD_SportVenues/FeatureServer/61

  4. a

    Soccer Pitches

    • hub.arcgis.com
    • communautaire-esrica-apps.hub.arcgis.com
    • +1more
    Updated Sep 24, 2018
    + more versions
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    The City of Saint John (2018). Soccer Pitches [Dataset]. https://hub.arcgis.com/datasets/SaintJohn::soccer-pitches/api
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    Dataset updated
    Sep 24, 2018
    Dataset authored and provided by
    The City of Saint John
    Area covered
    Description

    Points representing the locations of soccer pitches in Saint John.

  5. d

    Odds & Betting Data | Global Coverage | Soccer, Tennis, Basketball |...

    • datarade.ai
    .bin
    Updated Apr 11, 2025
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    VOdds (2025). Odds & Betting Data | Global Coverage | Soccer, Tennis, Basketball | Historical Data [Dataset]. https://datarade.ai/data-products/odds-betting-data-global-coverage-soccer-tennis-baske-vodds
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    .binAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    VOdds
    Area covered
    Slovenia, Mali, Jersey, Zimbabwe, Guadeloupe, Northern Mariana Islands, Senegal, Svalbard and Jan Mayen, Guinea-Bissau, Malawi
    Description

    The UNITY Odds Feed API – Historical Data Access offers a rich dataset of sports betting odds, covering a global array of leagues and events. This API enables users to retrieve detailed historical odds for both pre-match and live/in-play markets. It includes specific betting metrics such as Asian Handicap, Totals (Over/Under), Corners, and Cards, with data sourced from numerous major Asian sportsbooks and exchanges.

    This historical feed is particularly well-suited for:

    Data scientists and analysts building predictive models

    Sportsbooks improving odds-making strategies

    Media platforms generating betting insights

    Researchers analyzing market efficiency and odds movement

    Key Features: Pre-match and In-play Odds: Track how betting lines moved before and during events.

    Multi-Sport Coverage: Includes football (soccer), basketball, and tennis—spanning top leagues like the Premier League, NBA, and Grand Slam tournaments.

    Market Breadth: Extensive odds data for niche markets such as corners and cards.

    Bookmaker Diversity: Historical odds from a wide range of Asian bookmakers and betting exchanges with low spreads and back/lay functionality.

    Structured & Filterable: Access raw or formatted data by sport, league, event, or market.

    This API delivers the tools needed to extract meaningful insights from betting markets—whether you're building advanced algorithms, enhancing app features, or deep-diving into betting behavior trends.

  6. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Feb 4, 2025
    + more versions
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    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Eximpedia Export Import Trade Data
    Eximpedia PTE LTD
    Authors
    Seair Exim
    Area covered
    Antarctica, Armenia, Seychelles, Curaçao, Luxembourg, Uruguay, Saint Vincent and the Grenadines, Comoros, Bermuda, Taiwan
    Description

    Access Soccer Ball import export data of global countries with importers' & exporters' details, shipment date, price, hs code, ports, quantity etc.

  7. Effects of individualized training program based on genetic profiling on...

    • zenodo.org
    Updated May 22, 2025
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    Michał Nowak; Michał Nowak; Iga Jancewicz; Iga Jancewicz; Marta Szymanek-Pilarczyk; Marta Szymanek-Pilarczyk; Bartosz Rewers; Jarosław Muracki; Jarosław Muracki; Łukasz Oleksy; Łukasz Oleksy; Artur Stolarczyk; Artur Stolarczyk; Paweł Wiśniewski; Bartosz Rewers; Paweł Wiśniewski (2025). Effects of individualized training program based on genetic profiling on young soccer players performance [Dataset]. http://doi.org/10.5281/zenodo.15031160
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    Dataset updated
    May 22, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Michał Nowak; Michał Nowak; Iga Jancewicz; Iga Jancewicz; Marta Szymanek-Pilarczyk; Marta Szymanek-Pilarczyk; Bartosz Rewers; Jarosław Muracki; Jarosław Muracki; Łukasz Oleksy; Łukasz Oleksy; Artur Stolarczyk; Artur Stolarczyk; Paweł Wiśniewski; Bartosz Rewers; Paweł Wiśniewski
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This repository contains material supplementary to a paper titled "Effects of individualized training program based on genetic profiling on young soccer players' performance."

    Each attachment is a crucial element that adds value to the entire project and documentation related to the publication. Familiarizing yourself with the descriptions below will help you understand their purpose, content, and the context in which they were placed.

    1. Comparison of results to the previous year of work suplement 6.xlsx - The paper describes the research groups in relation to their work with the same training methodology in the year preceding the study.
    2. Detailed description of motor tasks planned in stages 1 and 2 of the experiment suplement 2.pdf.
    3. Genetic profiling - Recommendations for individual work suplement 1.pdf - Initial data used at the planning stage.
    4. Concept - work (division into subgroups) suplement 3.pdf
    5. S&C template .xlsx Action plan and recommendations for implementation for motor preparation coaches and head coaches were implemented in the second stage of testing.
    6. The concept of introducing modifications to the classic training microcycle in accordance with genetic indications suplement 5.pdf
    7. RAW DATA - RKS Raków Częstochowa.xlsx
    8. Genetic Testing Informed Consent Form (blank) EN.docx

  8. P2 Soccer Training locations in USA

    • agenty.com
    csv
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    Agenty (2023). P2 Soccer Training locations in USA [Dataset]. https://agenty.com/marketplace/stores/p2-soccer-training-locations-in-usa
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    csvAvailable download formats
    Dataset provided by
    Agenty
    Time period covered
    2025
    Area covered
    United States
    Description

    Complete list of all 157 P2 Soccer Training POI locations in the USA with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.

  9. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Jan 31, 2023
    + more versions
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    Seair Exim (2023). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 31, 2023
    Dataset provided by
    Eximpedia Export Import Trade Data
    Eximpedia PTE LTD
    Authors
    Seair Exim
    Area covered
    Swaziland, Ecuador, Sudan, Bermuda, Sint Eustatius and Saba, Niger, Mauritania, Panama, Uruguay, Christmas Island
    Description

    Global trade data of Soccer under 62113990, 62113990 global trade data, trade data of Soccer from 80+ Countries.

  10. 7-a-side Soccer Pitches (Natural Turf Pitch) in Hong Kong

    • hub.arcgis.com
    • opendata.esrichina.hk
    • +1more
    Updated Jul 31, 2018
    + more versions
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    Esri China (Hong Kong) Ltd. (2018). 7-a-side Soccer Pitches (Natural Turf Pitch) in Hong Kong [Dataset]. https://hub.arcgis.com/datasets/71778beff8314fc7927ffc3efa69752f
    Explore at:
    Dataset updated
    Jul 31, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This layer shows the location of 7-a-side Soccer Pitches (Natural Turf Pitch) in Hong Kong. It is a subset of the data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  11. Hard-surface Pitches | DATA.GOV.HK

    • data.gov.hk
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    data.gov.hk, Hard-surface Pitches | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-lcsd-csdi-hard-surface-pitches
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    Dataset provided by
    data.gov.hk
    Description

    Location of 5-a-side & 7-a-side Hard-surface Soccer Pitches in machine-readable format. Multiple file formats are available for dataset download in API.

  12. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Jan 17, 2025
    + more versions
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    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    Eximpedia Export Import Trade Data
    Eximpedia PTE LTD
    Authors
    Seair Exim
    Area covered
    Japan, Zimbabwe, Canada, Algeria, Micronesia (Federated States of), Iran (Islamic Republic of), Dominican Republic, Liechtenstein, Ecuador, Tunisia
    Description

    Soccer International Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  13. c

    Sports and Recreation Playing Surfaces (Ovals)

    • data.casey.vic.gov.au
    • researchdata.edu.au
    csv, excel, geojson +1
    Updated Jun 23, 2025
    + more versions
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    (2025). Sports and Recreation Playing Surfaces (Ovals) [Dataset]. https://data.casey.vic.gov.au/explore/dataset/playing-surfaces-ovals/
    Explore at:
    excel, json, geojson, csvAvailable download formats
    Dataset updated
    Jun 23, 2025
    Description

    The locations, types, and sizes of sports and recreation playing surfaces in the City of Casey, extracted from the City of Casey's Asset Management System and GIS databases.

  14. a

    Data from: AthleticField

    • data-sarco.opendata.arcgis.com
    Updated Sep 10, 2018
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    Sarasota County GIS (2018). AthleticField [Dataset]. https://data-sarco.opendata.arcgis.com/datasets/athleticfield/api
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    Dataset updated
    Sep 10, 2018
    Dataset authored and provided by
    Sarasota County GIS
    Area covered
    Description

    The Athletic Field layer contains many field types such as soccer, youth and adult baseball and softball, horseshoe pits or cricket fields throughout Sarasota County parks and natural areas.

  15. Sports Betting Market Analysis APAC, Europe, North America, South America,...

    • technavio.com
    Updated Jan 10, 2025
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    Technavio (2025). Sports Betting Market Analysis APAC, Europe, North America, South America, Middle East and Africa - US, China, Germany, Italy, Australia, Canada, India, UK, Japan, France - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/sports-betting-market-industry-analysis
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    Dataset updated
    Jan 10, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    Sports Betting Market Size 2025-2029

    The sports betting market size is forecast to increase by USD 221.1 billion, at a CAGR of 12.6% between 2024 and 2029.

    The market is experiencing dynamic growth, driven by the digital revolution and the emergence of machine learning technologies. These advancements enable more accurate predictions and personalized betting experiences for consumers, creating a competitive edge for market participants. Popular betting options include football (soccer), basketball, tennis, horse racing, cricket, and various other sports events. However, this market landscape is not without challenges. Stringent government regulations and restrictions pose significant obstacles, requiring companies to navigate complex legal frameworks and comply with evolving policies.
    As the industry continues to evolve, staying informed of regulatory changes and adapting to technological advancements will be crucial for market success. Companies that effectively balance innovation and regulatory compliance will be well-positioned to capitalize on the growing opportunities in the market.
    

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

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market continues to evolve, with dynamic market activities shaping its various sectors. Artificial intelligence (AI) is increasingly being integrated into promotional campaigns, enhancing user experience through personalized recommendations and real-time analysis. Spread betting, a popular form of wagering, employs advanced statistical modeling and risk management techniques. Problem gambling remains a significant concern, with player protection measures such as responsible gambling initiatives and KYC procedures being implemented. Betting odds are visualized through data visualization tools, enabling users to make informed decisions. Live streaming and in-play betting provide real-time updates, while API integration and odds comparison tools facilitate seamless data access.

    Machine learning algorithms are used for fraud detection and customer segmentation, ensuring secure payment gateways and AML compliance. Bonus offers and loyalty programs are employed as customer acquisition and retention strategies. Data analytics and betting algorithms enable efficient risk management and effective marketing campaigns. Data feeds from sports data providers are crucial for accurate betting odds and real-time score updates. First goalscorer and correct score bets add excitement to the betting experience. Prop bets and Asian handicap betting cater to diverse user preferences. Live score updates and game integrity are ensured through rigorous security protocols and data encryption.

    Pre-match betting and futures betting offer opportunities for long-term investment. Ongoing market activities and evolving patterns underscore the continuous dynamism of the market.

    How is this Sports Betting Industry segmented?

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

    Platform
    
      Online
      Offline
    
    
    Type
    
      Basketball
      Horse riding
      Football
      Others
    
    
    Betting Type
    
      Fixed Odds Wagering
      Exchange Betting
      Live/In-Play Betting
      eSports Betting
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        Australia
        China
        India
        Japan
    
    
      Middle East and Africa
    
        UAE
    
    
      South America
    
        Argentina
        Brazil
    
    
      Rest of World (ROW)
    

    By Platform Insights

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

    The online market is experiencing notable expansion, fueled by technological advancements and favorable regulatory shifts. Key drivers of this growth include the expanding betting market due to continuous innovation in online channels, the increasing availability of mobile platforms with the widespread use of the Internet and smartphones, and the structural migration of customers from retail to online betting in emerging markets. Improvements in platform quality and user experience, particularly through betting applications, further enhance the appeal of online betting. With digitalization on the rise and smartphone penetration increasing, regions such as APAC and MEA present significant opportunities for growth in the online sports betting sector.

    Technological advancements have also brought about the integration of various features, such as machine learning algorithms for risk management and player protection, responsible gambling initiatives, API integration, and odds comparison tools. In-play betting, live sc

  16. Lionel Messi Tweets

    • kaggle.com
    Updated Dec 20, 2021
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    Gabriel Preda (2021). Lionel Messi Tweets [Dataset]. https://www.kaggle.com/datasets/gpreda/lionel-messi-tweets/versions/9
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 20, 2021
    Dataset provided by
    Kaggle
    Authors
    Gabriel Preda
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Football (European Soccer) is a worldwide attraction. Some of the international starts exceed by fame, income and fans base the biggest NFL or NBA stars. Lionel Messi is one of the superstars of Football.

    Content

    Tweets about Lionel Messi, an Argentinian football star, former player to Barcelona, one of the biggest football clubs in the World.

    Acknowledgements

    The content is from Twitter; tweets were collected using Twitter API and tweepy.

    Inspiration

    Few suggestions: - Perform data cleaning on the multitude of spam tweets using #Messi hashtag to ride on the popularity of this football megastar; - Perform sentiment analysis on tweets from football fans across the World;

  17. a

    Data from: Active Recreation

    • data-regionofpeel.hub.arcgis.com
    • data.peelregion.ca
    • +2more
    Updated Oct 10, 2013
    + more versions
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    Regional Municipality of Peel (2013). Active Recreation [Dataset]. https://data-regionofpeel.hub.arcgis.com/items/0df602aa12ae4a1eb6ab97f849a5eb6a
    Explore at:
    Dataset updated
    Oct 10, 2013
    Dataset authored and provided by
    Regional Municipality of Peel
    License

    https://data.peelregion.ca/pages/licensehttps://data.peelregion.ca/pages/license

    Area covered
    Description

    The approximate boundaries of buildings, fields, and playgrounds that are used for the purpose of active recreation. The types of active recreation included are: playgrounds, playing fields (soccer, football, cricket, baseball, running tracks, tennis, etc.), sports & recreation centres, arenas, swimming pools, golf courses, and a major municipal, conservation, and provincial parks.Attempts were made to only include features that are on public lands, i.e. municipal parks, conservation areas, and publicly funded school board lands. Some features, such as golf courses and ski hills, may or may not be open to the public.These sites are not necessarily open to the public and users should follow posted signage and warnings.

  18. a

    Sports Equipment

    • open-vicmap.opendata.arcgis.com
    • opendata.victoria.ca
    Updated Aug 28, 2019
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    City of Victoria (2019). Sports Equipment [Dataset]. https://open-vicmap.opendata.arcgis.com/datasets/VicMap::sports-equipment
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    Dataset updated
    Aug 28, 2019
    Dataset authored and provided by
    City of Victoria
    License

    http://opendata.victoria.ca/pages/open-data-licencehttp://opendata.victoria.ca/pages/open-data-licence

    Area covered
    Description

    Baseball backstops: Backstops protect spectators and keep the ball in the field of play. They vary in size and style. Construction material consists of galvanized pipe and mesh. Some have nylon protective netting on top. Some may have wooden baseboards and/or concrete retaining walls.Baseball bases, plates, and anchors: home plate, pitcher's rubber, base anchors. Installed seasonally. Base anchors are constructed of steel inserted into a concrete base, home plate and pitchers plate is constructed of a wood base with rubber on top.Basketball hoops and nets: post, backboard, hoop and net provided for play. Backboards are either fixed or adjustable and made from either fibreglass, wood, metal or plexiglass.Cricket poles and net: wooden poles supporting nylon protective netting. Posts are engineered.Rugby posts: Removable powder-coated aluminum uprights provided seasonally, hinged on concrete footings.Soccer goals: Portable aluminum goalposts provided seasonally; three different sizes. Nylon mesh netting supplied at two locations.Tennis net and post: metal uprights to support nylon net, most with adjustable turnbuckles.Volleyball pole: galvanized metal pole.Water Park Equipment: A user activated water play feature comprised of 4 nozzles set in the concrete surface at grade which sprays water into the air. Seasonally available. Water is not recycled. Falls under Island Health regulations.Watering Can: Stainless steel stucture in the shape of a watering can with various jets and nozzles providing differing patterns of water flow. A single push of a button will cause several valves to open in sequence. Seasonally available. Controller is computer based. Surface is concrete. Falls under Island Health regulations.Data are updated by city staff as needed, and automatically copied to the Open Data Portal. The "Last Updated" date shown on our Open Data Portal refers to the last time the data schema was modified in the portal, or any changes were made to this description. We update our data through automated scripts which does not trigger the "last updated" date to change.Note: Attributes represent each field in a dataset, and some fields will contain information such as ID numbers. As a result some visualizations on the tabs on our Open Data page will not be relevant.

  19. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Jan 28, 2023
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    Seair Exim (2023). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 28, 2023
    Dataset provided by
    Eximpedia Export Import Trade Data
    Eximpedia PTE LTD
    Authors
    Seair Exim
    Area covered
    Falkland Islands (Malvinas), Slovenia, Malta, Saint Kitts and Nevis, Palestine, Belgium, Bermuda, Finland, Mozambique, Sweden
    Description

    Global trade data of Soccer under 3303000000, 3303000000 global trade data, trade data of Soccer from 80+ Countries.

  20. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Jan 19, 2023
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    Seair Exim (2023). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 19, 2023
    Dataset provided by
    Eximpedia Export Import Trade Data
    Eximpedia PTE LTD
    Authors
    Seair Exim
    Area covered
    Haiti, Ethiopia, Romania, San Marino, Tokelau, Montserrat, Curaçao, Mali, Suriname, Cayman Islands
    Description

    Global trade data of Soccer under 42032100, 42032100 global trade data, trade data of Soccer from 80+ Countries.

Share
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VOdds (2025). Real-Time API | Soccer Sports Data | Global Coverage | Football Betting Strategy [Dataset]. https://datarade.ai/data-products/real-time-api-soccer-sports-data-global-coverage-footba-vodds-6d70

Real-Time API | Soccer Sports Data | Global Coverage | Football Betting Strategy

Explore at:
.binAvailable download formats
Dataset updated
Apr 10, 2025
Dataset authored and provided by
VOdds
Area covered
Jersey, Holy See, Solomon Islands, Panama, Tajikistan, Belgium, Senegal, Papua New Guinea, Sint Eustatius and Saba, Bolivia (Plurinational State of)
Description

The UNITY Soccer API is a powerful solution for delivering highly accurate, real-time football (soccer) odds to sportsbooks, betting apps, affiliate platforms, and data-driven systems. As part of the broader UNITY Odds Feed API, the Soccer API is engineered for speed, scalability, and flexibility—allowing seamless integration of betting markets across the world’s most popular sport.

The UNITY Soccer API is a robust, enterprise-grade solution that powers football betting platforms with real-time, historical, and highly accurate data. With extensive market coverage, flexible customization, and deep global reach, it supports any betting-related use case—whether you're building a full-scale sportsbook, launching a mobile app, or analyzing data for predictive modeling.

Combined with a powerful support infrastructure, seamless integration tools, and competitive bookmaker data, the UNITY Soccer API is the ideal foundation for your next-generation football betting solution.

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