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.
This is the first live data stream on Kaggle providing a simple yet rich source of all soccer matches around the world 24/7 in real-time.
What makes it unique compared to other datasets?
Simply train your algorithm on the first version of training dataset of approximately 11.5k matches and predict the data provided in the following data feed.
The CSV file is updated every 30 minutes at minutes 20’ and 50’ of every hour. I kindly request not to download it more than twice per hour as it incurs additional cost.
You may download the csv data file from the following link from Amazon S3 server by changing the FOLDER_NAME as below,
https://s3.amazonaws.com/FOLDER_NAME/amasters.csv
*. Substitute the FOLDER_NAME with "**analyst-masters**"
Our goal is to identify the outcome of a match as Home, Draw or Away. The variety of sources and nature of information provided in this data stream makes it a unique database. Currently, FIVE servers are collecting data from soccer matches around the world, communicating with each other and finally aggregating the data based on the dominant features learned from 400,000 matches over 7 years. I describe every column and the data collection below in two categories, Category I – Current situation and Category II – Head-to-Head History. Hence, we divide the type of data we have from each team to 4 modes,
Below you can find a full illustration of each category.
I. Current situation
Col 1 to 3:
Votes_for_Home Votes_for_Draw Votes_for_Away
The most distinctive parts of the database are these 3 columns. We are releasing opinions of over 100 professional soccer analysts predicting the outcome of a match. Their votes is the result of every piece of information they receive on players, team line-up, injuries and the urge of a team to win a match to stay in the league. They are spread around the world in various time zones and are experts on soccer teams from various regions. Our servers aggregate their opinions to update the CSV file until kickoff. Therefore, even if 40 users predict Real-Madrid wins against Real-Sociedad in Santiago Bernabeu on January 6th, 2019 but 5 users predict Real-Sociedad (the away team) will be the winner, you should doubt the home win. Here, the “majority of votes” works in conjunction with other features.
Col 4 to 9:
Weekday Day Month Year Hour Minute
There are over 60,000 matches during a year, and approximately 400 ones are usually held per day on weekends. More critical and exciting matches, which are usually less predictable, are held toward the evening in Europe. We are currently providing time in Central Europe Time (CET) equivalent to GMT +01:00.
*. Please note that the 2nd row of the CSV file represents the time, data values are saved from all servers to the file.
Col 10 to 13:
Total_Bettors Bet_Perc_on_Home Bet_Perc_on_Draw Bet_Perc_on_Away
This data is recorded a few hours before the match as people place bets emotionally when kickoff approaches. The percentage of the overall number of people denoted as “Total_Bettors” is indicated in each column for “Home,” “Draw” and “Away” outcomes.
Col 14 to 15:
Team_1 Team_2
The team playing “Home” is “Team_1” and the opponent playing “Away” is “Team_2”.
Col 16 to 36:
League_Rank_1 League_Rank_2 Total_teams Points_1 Points_2 Max_points Min_points Won_1 Draw_1 Lost_1 Won_2 Draw_2 Lost_2 Goals_Scored_1 Goals_Scored_2 Goals_Rec_1 Goal_Rec_2 Goals_Diff_1 Goals_Diff_2
If the match is betw...
UNITY is a next-generation Odds Feed and Betting API built for the dynamic needs of modern sportsbooks, betting websites, mobile apps, and professional trading teams/individuals. With comprehensive sports coverage—including top leagues in Football (Soccer), Basketball, and Tennis—UNITY provides real-time odds updates and supports seamless in-play betting across a wide range of markets like Asian Handicap, Over/Under Totals, Corners, and Cards.
The platform combines a robust odds feed with a fully functional Betting API, enabling direct bet placements and full automation of trading strategies. UNITY integrates effortlessly with major Asian bookmakers and betting exchanges, supporting both back and lay positions through a single, central wallet.
Designed with developers in mind, UNITY includes detailed documentation, code samples, and a staging environment for integration and testing. Its customizable data feed allows users to filter by sport, league, event, or market and choose between raw or formatted content, making it a flexible solution for platforms of any size.
Backed by technical support and continuous system updates, UNITY ensures your betting operation stays ahead of the curve. Whether you're building a new platform or enhancing an existing one, UNITY delivers the tools and reliability to take your betting experience to the next level.
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.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The global player tracking market is experiencing robust growth, fueled by the increasing adoption of advanced analytics in sports to enhance player performance and team strategy. With a Compound Annual Growth Rate (CAGR) of 24.90% from 2019 to 2024, the market demonstrates significant potential. The market's expansion is driven by several factors, including the rising popularity of sports globally, technological advancements leading to more sophisticated and affordable tracking systems, and the growing demand for data-driven insights among coaches and athletes. The integration of wearable sensors, AI-powered analytics platforms, and high-speed video analysis is transforming the way teams train and compete, leading to increased investment in player tracking solutions. Market segmentation reveals strong growth across both solution and service offerings, catering to individual and team sports alike. North America currently holds a significant market share, driven by high technological adoption and a well-established sports industry infrastructure. However, Asia-Pacific is anticipated to witness significant growth in the coming years, propelled by rising participation in sports and increasing disposable incomes. The market faces challenges such as high initial investment costs for technology and the need for robust data infrastructure to support analysis. Nevertheless, the overall market trajectory remains positive, with significant opportunities for growth across various regions and segments. The competitive landscape is characterized by a mix of established technology providers and specialized sports analytics companies. Key players are continuously innovating to offer comprehensive solutions encompassing hardware, software, and analytics services. This competitive dynamic drives innovation and helps to improve the affordability and accessibility of player tracking technologies. Furthermore, the increasing demand for integrated solutions that seamlessly combine player tracking with other performance analysis tools, such as video analysis and biometrics, is shaping the market's future. The market is also witnessing the emergence of new entrants, offering niche solutions and specialized services targeting specific sports or performance aspects. This competitive landscape ensures continuous improvement in the quality, functionality, and accessibility of player tracking technology, benefiting athletes, coaches, and teams worldwide. Future growth will likely be driven by further advancements in sensor technology, the development of more user-friendly analytics platforms, and the integration of player tracking data with other performance metrics for comprehensive insights. Recent developments include: June 2022 - Stats Perform announced a new series of advanced football metrics by introducing live Opta Vision data feeds for the 2022-23 football season. Opta Vision represents a new generation of deeper sports data. By combining the company's industry-leading Opta event data with tracking data to create a single, merged dataset, Opta Vision delivers richer performance insights to professional teams. The merged dataset also utilizes the company's qwinn artificial intelligence to generate enriched data outputs. The new data outputs and predictive metrics include insights related to dynamic changes in a team's shape during a match., March 2022 - Catapult and Champion Data made a multi-year deal to supply performance analysis solutions to the Australian Football League (AFL). The teams across the AFL, AFLW and AFL Pathways will use Catapult's vector devices to empower data-driven decisions to enhance player performance, quantify findings to help mitigate the risk of injuries, and inform return-to-play processes.. Key drivers for this market are: Technological Advancements in Wearable Sports Devices. Potential restraints include: Technological Advancements in Wearable Sports Devices. Notable trends are: Wearable Devices Offers Potential Growth.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The global live streaming video platform market for football is experiencing robust growth, driven by the increasing popularity of the sport and the rising adoption of streaming services. The market's expansion is fueled by several key factors, including the accessibility and convenience of live streaming, the ability to reach geographically dispersed fan bases, and the immersive viewing experience it offers, including interactive features and enhanced commentary. The segment encompassing professional football matches commands the largest share, reflecting the massive global viewership of major leagues and tournaments. However, significant growth is anticipated in the amateur football matches and football education and training segments as more leagues and training programs embrace live streaming to broaden their reach and engage new audiences. Mobile platforms currently dominate the application segment, catering to the on-the-go viewing preferences of modern fans, though web-based platforms still maintain a substantial presence. Key players like Tencent, YouTube, and Facebook are leveraging their established user bases and technological capabilities to establish a strong foothold in this market, continuously investing in features to enhance user engagement and monetization strategies. Geographic distribution showcases a strong concentration in North America and Europe, reflecting the high penetration of internet and mobile technology, as well as the established popularity of football in these regions. However, substantial growth opportunities exist in rapidly developing Asian markets, particularly in India and China, fueled by increasing internet access and a growing passion for the sport. Competition among existing platforms is intensifying, leading to innovative features, content deals, and pricing strategies to attract and retain viewers. The forecast period (2025-2033) projects continued expansion of the live streaming video platform market for football, fueled by technological advancements (e.g., improved streaming quality, VR/AR integration), increased sponsorship and advertising revenue opportunities, and the growing use of data analytics to personalize the viewing experience. While regulatory hurdles related to broadcasting rights and content piracy pose challenges, ongoing industry consolidation and strategic partnerships are likely to mitigate these risks. The market is expected to witness further segmentation based on viewer demographics and viewing preferences, creating opportunities for niche platforms to emerge and cater to specific needs. The continued adoption of 5G technology will likely improve streaming quality and availability, significantly bolstering market growth across all segments and regions. We anticipate a shift towards subscription-based models and the incorporation of interactive features, creating a more engaging and immersive experience for fans globally.
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains information on Brisbane City Council's GOLD (Growing Older, Living Dangerously) n kids events. These events usually take place during Queensland school holidays. Outside of these times, the feed may appear empty. The dataset includes locations, dates and times..
Brisbane City Council's events data containing dates, costs, booking requirements, venue and location for GOLD n' kids events in Brisbane.
The dataset was created using data from an external service called Trumba. The data is a transformed extract created using the Trumba Calendar API XML feed, that is limited to the next 1,000 events. The transformed extract is converted to a CSV file and uploaded into this dataset daily.
To access and view the data using the Source API (Trumba), use the information below and your preferred link in the Data and Resources section. The Source API is available for this dataset in:
Trumba Calendar - API - XML feed is limited to the next 1,000 events
Trumba Calendar - API - RSS feed is limited to the next 1,000 events
Trumba Calendar - API - CSV feed is limited to the next 2,000 events
Trumba Calendar - API - JSON feed is limited to the next 2,000 events.
The Data and resources section of this dataset contains further information for this dataset.
In 2023/24, the combined broadcasting revenue of all Premier League clubs amounted to nearly *** billion British pounds, representing a slight increase on the previous season. Meanwhile, revenue from matchdays totaled *** million British pounds.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
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.