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.

Notes for Football Data from football-data.co.uk.

All data is in csv format, ready for use within standard spreadsheet applications. Please note that some abbreviations are no longer in use (in particular odds from specific bookmakers no longer used) and refer to data collected in earlier seasons. For a current list of what bookmakers are included in the dataset please visit http://www.football-data.co.uk/matches.php

Key to results data:

Div = League Division Date = Match Date (dd/mm/yy) Time = Time of match kick off HomeTeam = Home Team AwayTeam = Away Team FTHG and HG = Full Time Home Team Goals FTAG and AG = Full Time Away Team Goals FTR and Res = Full Time Result (H=Home Win, D=Draw, A=Away Win) HTHG = Half Time Home Team Goals HTAG = Half Time Away Team Goals HTR = Half Time Result (H=Home Win, D=Draw, A=Away Win)

Match Statistics (where available) Attendance = Crowd Attendance Referee = Match Referee HS = Home Team Shots AS = Away Team Shots HST = Home Team Shots on Target AST = Away Team Shots on Target HHW = Home Team Hit Woodwork AHW = Away Team Hit Woodwork HC = Home Team Corners AC = Away Team Corners HF = Home Team Fouls Committed AF = Away Team Fouls Committed HFKC = Home Team Free Kicks Conceded AFKC = Away Team Free Kicks Conceded HO = Home Team Offsides AO = Away Team Offsides HY = Home Team Yellow Cards AY = Away Team Yellow Cards HR = Home Team Red Cards AR = Away Team Red Cards HBP = Home Team Bookings Points (10 = yellow, 25 = red) ABP = Away Team Bookings Points (10 = yellow, 25 = red)

Note that Free Kicks Conceeded includes fouls, offsides and any other offense commmitted and will always be equal to or higher than the number of fouls. Fouls make up the vast majority of Free Kicks Conceded. Free Kicks Conceded are shown when specific data on Fouls are not available (France 2nd, Belgium 1st and Greece 1st divisions).

Note also that English and Scottish yellow cards do not include the initial yellow card when a second is shown to a player converting it into a red, but this is included as a yellow (plus red) for European games.

Key to 1X2 (match) betting odds data:

B365H = Bet365 home win odds B365D = Bet365 draw odds B365A = Bet365 away win odds BSH = Blue Square home win odds BSD = Blue Square draw odds BSA = Blue Square away win odds BWH = Bet&Win home win odds BWD = Bet&Win draw odds BWA = Bet&Win away win odds GBH = Gamebookers home win odds GBD = Gamebookers draw odds GBA = Gamebookers away win odds IWH = Interwetten home win odds IWD = Interwetten draw odds IWA = Interwetten away win odds LBH = Ladbrokes home win odds LBD = Ladbrokes draw odds LBA = Ladbrokes away win odds PSH and PH = Pinnacle home win odds PSD and PD = Pinnacle draw odds PSA and PA = Pinnacle away win odds SOH = Sporting Odds home win odds SOD = Sporting Odds draw odds SOA = Sporting Odds away win odds SBH = Sportingbet home win odds SBD = Sportingbet draw odds SBA = Sportingbet away win odds SJH = Stan James home win odds SJD = Stan James draw odds SJA = Stan James away win odds SYH = Stanleybet home win odds SYD = Stanleybet draw odds SYA = Stanleybet away win odds VCH = VC Bet home win odds VCD = VC Bet draw odds VCA = VC Bet away win odds WHH = William Hill home win odds WHD = William Hill draw odds WHA = William Hill away win odds

Bb1X2 = Number of BetBrain bookmakers used to calculate match odds averages and maximums BbMxH = Betbrain maximum home win odds BbAvH = Betbrain average home win odds BbMxD = Betbrain maximum draw odds BbAvD = Betbrain average draw win odds BbMxA = Betbrain maximum away win odds BbAvA = Betbrain average away win odds

MaxH = Market maximum home win odds MaxD = Market maximum draw win odds MaxA = Market maximum away win odds AvgH = Market average home win odds AvgD = Market average draw win odds AvgA = Market average away win odds

Key to total goals betting odds:

BbOU = Number of BetBrain bookmakers used to calculate over/under 2.5 goals (total goals) averages and maximums BbMx>2.5 = Betbrain maximum over 2.5 goals BbAv>2.5 = Betbrain average over 2.5 goals BbMx<2.5 = Betbrain maximum under 2.5 goals BbAv<2.5 = Betbrain average under 2.5 goals

GB>2.5 = Gamebookers over 2.5 goals GB<2.5 = Gamebookers under 2.5 goals B365>2.5 = Bet365 over 2.5 goals B365<2.5 = Bet365 under 2.5 goals P>2.5 = Pinnacle over 2.5 goals P<2.5 = Pinnacle under 2.5 goals Max>2.5 = Market maximum over 2.5 goals Max<2.5 = Market maximum under 2.5 goals Avg>2.5 = Market average over 2.5 goals Avg<2.5 = Market average under 2.5 goals

Key to Asian handicap betting odds:

BbAH = Number of BetBrain bookmakers used to Asian handicap averages and maximums BbAHh = Betbrain size of handicap (home team) AHh = Market size of handicap (home team) (since 2019/2020) BbMxAHH = Betbrain maximum Asian han...

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 market size of the global sports betting industry stood at *** billion U.S. dollars as of March 2025. Within this industry, there were over ******* employees in a total of nearly ****** businesses. Many countries participate in legal sports betting, one of the more recent being the United States. Despite being a relative newcomer, the revenue of the sports betting industry in the U.S. stood at over ** billion U.S. dollars in 2023.

Column Labels

• season – Year the season ended. For example, the 2018-19 season is encoded as 2019.
• date – Date of the game
• regular – Regular season game (True or False)
• playoffs – Playoff game (True or False)
• away – Away team
• home – Home team
• score_away – Away team's score
• score_home – Home team's score
• q1_away – Away team's 1st quarter score
• q2_away – Away team's 2nd quarter score
• q3_away – Away team's 3rd quarter score
• q4_away – Away team's 4th quarter score
• ot_away – Away team's overtime score
• q1_home – Home team's 1st quarter score
• q2_home – Home team's 2nd quarter score
• q3_home – Home team's 3rd quarter score
• q4_home – Home team's 4th quarter score
• ot_home – Home team's overtime score
• whos_favored – Betting favorite (home or away)
• spread – Point spread (always a positive number)
• total – Over/Under
• moneyline_away – American moneyline odds for away team
• moneyline_home – American moneyline odds for home team
• h2_spread – Second half point spread
• h2_total – Second half over/under
• id_spread – 1 if favorite covered, 0 if underdog covered. 2 if push
• id_total – 1 if total went over, 0 if under, 2 if push

Data Sources

• October 30, 2007 to January 16, 2023: Sportsbook Reviews Online
• Since January 17, 2023: ESPN

I scraped SportsbookReviewsOnline.com and fixed a few errors. They seem to have stopped updating the page so all future data will come from ESPN.

Notes

Seattle moved to Oklahoma City beginning in the 2008-09 season. I encode them as okc for consistency.

New Jersey moved to Brooklyn beginning in the 2012-13 season. I encode them as bkn for consistency.

2H and Moneyline odds are absent from the ESPN data (since Jan 2023). Note that ESPN uses non-integer values exclusively so there are no pushes.

Real-time each way betting calculations and odds comparison data

The global sports betting data service market is experiencing robust growth, driven by the increasing popularity of online sports betting and the rising demand for real-time data and analytics. The market's expansion is fueled by several key factors, including the legalization and regulation of sports betting in various jurisdictions, technological advancements in data collection and processing, and the growing sophistication of betting strategies among both casual and professional bettors. The proliferation of mobile betting platforms further accelerates market growth, offering convenient access to betting services and real-time data feeds. Key players in the market, such as Sportradar Group, Genius Sports, and Betradar, are continually innovating to provide comprehensive and accurate data, enhancing their competitive edge. This involves investing in advanced data analytics, artificial intelligence, and machine learning to refine their offerings and cater to the evolving needs of their clients. The market is segmented by data type (e.g., pre-match and in-play data), sports type, and geographic region, with North America and Europe currently holding significant market shares. Future growth will likely be driven by the expansion into emerging markets and the integration of new technologies, such as blockchain and the metaverse, into sports betting platforms. The increasing focus on data security and integrity also presents both a challenge and opportunity for market players. Despite the significant growth potential, certain challenges restrain market expansion. Concerns regarding data accuracy, integrity, and the potential for manipulation pose a risk. Furthermore, stringent regulatory frameworks and compliance requirements in different jurisdictions can increase operational complexities and costs for market participants. The competitive landscape is highly fragmented, with numerous established and emerging players vying for market share. Successful players will need to prioritize innovation, data security, and strong relationships with sports leagues and betting operators. The long-term growth of the market is heavily dependent on the continued legalization and responsible regulation of sports betting globally, coupled with the development of sustainable and ethical data sourcing and usage practices. A steady CAGR of around 15% is expected over the next decade, pushing the market to substantial size by 2033.

The Challenge

The online sports gambling industry employs teams of data analysts to build forecast models that turn the odds at sports games in their favour. While several betting strategies have been proposed to beat bookmakers, from expert prediction models and arbitrage strategies to odds bias exploitation, their returns have been inconsistent and it remains to be shown that a betting strategy can outperform the online sports betting market. We designed a strategy to beat football bookmakers with their own numbers:

"Beating the bookies with their own numbers - and how the online sports betting market is rigged", by Lisandro Kaunitz, Shenjun Zhong and Javier Kreiner.

Here, we make the full dataset publicly available to the Kaggle community. We also provide the codes, raw SQL database and the online real-time dashboard that were used for our study on github.

Our strategy proved profitable in a 10-year historical simulation using closing odds, a 6-month historical simulation using minute to minute odds, and a 5-month period during which we staked real money with the bookmakers. We would like to challenge the Kaggle community to improve our results:

• Can your strategy consistently beat the sports betting market over thousands of bets across leagues around the world?
• Do time series odds movements offer insightful information that a betting strategy can exploit?
• Can you outperform the bookmakers’ predictions included in the odds data by creating a better model?

What's inside the Beat The Bookie dataset

10 year historical closing odds:

• 479,440 football games from 818 leagues around the world
• Games from 2005-01-01 to 2015-07-30.
• Maximum, average and count of active odds at closing time (start of the match)
• Betting odds from up to 32 providers
• Details about the match: date and time, league, teams, 90-minute score

14-months time series odds:

• 92,647 football games from 1005 leagues around the world
• Games from 2015-09-01 to 2016-11-22
• Hourly sampled odds time series, from up to 32 bookmakers from 72 hours before the start of each game
• Details about the match: date and time, league, teams, 90-minute score

The dataset was assembled over months of scraping online sport portals.

We hope you enjoy your sports betting simulations (but remember... the house always wins in the end).

Acknowledgements

Ben Fulcher was of great help when we were drafting the paper. Ben has also developed a very nice toolbox for time-series analysis, which might be relevant for the analysis of this dataset.

Analysis of ‘NFL scores and betting data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/tobycrabtree/nfl-scores-and-betting-data on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

National Football League historic game and betting info

Content

National Football League (NFL) game results since 1966 with betting odds information since 1979. Dataset was created from a variety of sources including games and scores from a variety of public websites such as ESPN, NFL.com, and Pro Football Reference. Weather information is from NOAA data with NFLweather.com a good cross reference. Betting data was used from http://www.repole.com/sun4cast/data.html for 1978-2013 seasons. Pro-football-reference.com data was then cross referenced for betting lines and odds as well as weather data. From 2013 on betting data reflects lines available at sportsline.com.

Acknowledgements

Helpful sites with interest in football and sports betting include:

https://github.com/fivethirtyeight/nfl-elo-game

http://www.repole.com/sun4cast/data.html

https://www.pro-football-reference.com/

http://www.espn.com/nfl/

http://www.nflweather.com/

http://www.noaa.gov/weather

https://www.sportsline.com/

https://github.com/jp-wright/nfl_betting_market_analysis

http://www.aussportsbetting.com/data/historical-nfl-results-and-odds-data/

Inspiration

Can you build a predictive model to better predict NFL game outcomes and identify successful betting strategies?

--- Original source retains full ownership of the source dataset ---

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

Notes: (1) Monthly payments are due to the State by the 15th of the following month. (2) The operation of the online sports wagering began on October 12, 2021. (3) Monthly resettlements are wagers where the original settled wager result is modified due to an error or change in result of the underlying event. (4) Federal Excise Tax is 0.25% of Net Wagers. (5) This amount shall only include coupons and credits issued for use for gaming in the state and redeemed in the State of Connecticut. (6) Per Public Act 21-23, from October 2021 – September 2022 the promotional deduction is limited to the lesser of 25% of sports wagering Win/Loss, or actual promotional coupons or credits wagered. From October 2022 – September 2023 this limit drops to 20%, and to 15% thereafter.. (7) Payment rate is 13.75% of Gross Gaming Revenue. Monthly payment is the greater of the calculated payment or $0 (if calculated payment is negative). (8) In May 2022, MPI Master Wagering License CT, LLC reclassified $2.6M of certain bets from October 2021 - March 2022 originally reported as resettlements, as winnings. This had no impact on Gross Gaming Revenue or payments to the state because winnings and resettlements are treated the same in the GGR calculation. Corrected amounts are reported above. (9) In May 2022, MPI Master Wagering License CT, LLC revised its October 2021 filing to reflect patron winnings that were cashed after the close of operations during the limited hours of Soft Launch. This adjustment reduced the payment due to the State of Connecticut by $31,669; taken as a credit against the May 2022 payment due. (10) In July 2024, Mohegan Digital, LLC's online gaming operator identified and reported data latency issues that caused errors in the May 2024 payment calculations submitted to the State of Connecticut. Mohegan Digital, LLC amended their May 2024 return, which resulted in an increase of $15,952 in both Wagers and Cancelled Wagers, an Increase of $5,375 in Patron Winnings, and a decrease of $5,375 in Monthly Resettlements. Amended figures are shown above.

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 a dataset made taking the data from hltv about the odds which come from different Online Gambling Companies (OGCs). It shows the bet data, the result of the match and the timestamp.

Live Betting Market Outlook

The global live betting market size was valued at USD 54.2 billion in 2023 and is projected to reach USD 104.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.5% during the forecast period. The primary growth factor driving this market is the increasing popularity of real-time betting among sports enthusiasts, coupled with the advancement in digital technologies that enable seamless live betting experiences.

One of the pivotal growth factors in the live betting market is the widespread adoption of smartphones and high-speed internet. With the proliferation of mobile devices and improved internet connectivity, bettors can place wagers in real-time from virtually anywhere. This convenience has spurred significant growth in online live betting platforms. Additionally, technological advancements such as artificial intelligence and machine learning are being integrated into live betting applications to provide enhanced user experiences through personalized betting suggestions and real-time data analytics.

Another key driver for the expansion of the live betting market is the increasing legalization and regulatory support in various regions. Governments across the world are recognizing the potential economic benefits of legalizing sports betting, including job creation and increased tax revenues. For instance, the U.S. Supreme Court's decision to strike down the Professional and Amateur Sports Protection Act (PASPA) in 2018 opened up a significant market potential in North America. Similarly, several European and Asian countries are witnessing regulatory reforms that favor the betting industry.

The advent of social media and live streaming services has also played a crucial role in the growth of the live betting market. Platforms such as YouTube, Twitch, and Facebook Live allow sports events to be broadcasted in real-time, providing an interactive and engaging experience for viewers. This has led to a surge in live betting as fans can watch and bet on events simultaneously. The integration of betting features within these social media platforms further augments user engagement and drives market growth.

In terms of regional outlook, North America and Europe are expected to be the dominant markets for live betting during the forecast period. North America's growth is primarily driven by the U.S., where the legalization of sports betting is rapidly transforming the market landscape. Europe, with its long-standing tradition of sports betting and favorable regulatory environment, continues to be a significant player. Meanwhile, the Asia Pacific region is anticipated to witness the highest growth rate due to the increasing popularity of sports such as cricket, football, and eSports, along with the growing penetration of internet and mobile devices.

The role of Sportsbook Software is becoming increasingly pivotal in the live betting market. This software serves as the backbone for many online betting platforms, providing the necessary infrastructure to manage bets, odds, and payouts efficiently. With advancements in technology, modern sportsbook software offers features such as real-time data analytics, customizable user interfaces, and seamless integration with various payment gateways. These capabilities not only enhance the user experience but also enable operators to manage their operations more effectively. As the demand for live betting continues to grow, the development and implementation of sophisticated sportsbook software will be crucial in maintaining competitive advantage and ensuring operational efficiency.

Type Analysis

In-play betting, also known as live betting, is the most popular type within the live betting market. This involves placing bets on various aspects of a game as it unfolds, allowing bettors to make decisions based on the real-time performance of teams or players. The dynamic nature of in-play betting keeps the audience engaged and offers numerous opportunities to win. The increasing popularity of fantasy leagues and instant gratification among younger demographics further boosts the demand for in-play betting services. The integration of advanced data analytics and AI algorithms enables platforms to offer real-time statistics and predictions, enhancing the betting experience.

In-game betting is another crucial segment, providing bettors with the opportunity to wager on specific events within a game, such as the next goal in

Context

There are some great UFC datasets out there, but I could not find one that included gambling odds.... So I went and made one myself. This dataset focuses very generally on the fights and hopes to be able to draw very broad conclusions. More a more in depth statistical fight analysis I would recommend Rajeev Warrier's excellent datasetwhich was the inspiration for my work.

Content

This dataset consists of 11 columns of data with basic information about every match that took place between March 21, 2010 and March 14, 2020.

Column Definitions:

R_fighter and B_fighter: The names of the fighter in the red corner and the fighter in the blue corner R_odds and B_odds: The American odds of the fighter winning.
date: The date of the fight location: The location of the fight country: The country the fight occurred in Winner: The winner of the fight ('Red' or 'Blue') title_bout: Was this fight a title bout? ('True' or 'False') weight_class: What weight class did this fight occur at? gender: Male or Female

Acknowledgements

I was inspired by the work of Rajeev Warrier

Want More?

My work, including a scraper to help gather data for upcoming events, can be found on my GitHub. I promise I'll add more documentation soon.

Cricket Betting Market Outlook

The global cricket betting market size was valued at USD 76.5 billion in 2023 and is projected to reach USD 151.2 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 7.6% during the forecast period. This remarkable growth is driven by increasing internet penetration, the proliferation of smart devices, and the growing popularity of cricket worldwide.

A significant growth factor for the cricket betting market is the widespread adoption of smartphones and advancements in mobile internet technologies. The accessibility of high-speed internet has made it easier for users to engage in online betting, providing a seamless and convenient betting experience. This technological evolution is further supported by the increasing number of online betting platforms that offer a variety of betting options, live streaming, and real-time updates, thereby attracting a larger audience. Moreover, improvements in cybersecurity measures have also instilled greater confidence among users, contributing to market growth.

Another critical factor propelling the growth of the cricket betting market is the increasing legalization and regulation of sports betting across various regions. Governments and regulatory bodies are recognizing the potential economic benefits of a regulated betting market, including increased tax revenues and job creation. This shift towards a more structured and legal framework is not only expanding the market but also ensuring a safer and more transparent betting environment for consumers. Furthermore, partnerships between betting companies and sports organizations are enhancing the betting experience, making it more integrated and engaging for users.

The cultural significance of cricket in countries like India, Australia, England, and South Africa is also a substantial growth driver. In these regions, cricket is not just a sport but a cultural phenomenon, drawing massive viewership and fan engagement. This high level of interest translates directly into increased betting activities. During major tournaments like the Indian Premier League (IPL), The Ashes, and the ICC Cricket World Cup, the surge in betting activities is particularly noticeable. These events gather international attention and attract a significant number of bettors, contributing to the market’s growth.

On a regional level, Asia Pacific dominates the cricket betting market, accounting for the largest share due to the immense popularity of cricket in countries like India, Pakistan, and Sri Lanka. North America and Europe are also emerging as significant markets, driven by the gradual legalization of sports betting and increasing investments in marketing and advertising by betting companies. The Middle East & Africa and Latin America are witnessing moderate growth, with potential for expansion as internet penetration increases and regulatory frameworks evolve.

Platform Analysis

The cricket betting market can be segmented by platform into online and offline betting. Online betting platforms are experiencing exponential growth due to their accessibility and convenience. Users can place bets from the comfort of their homes or on the go using their smartphones or other devices. The proliferation of online platforms offering live betting, real-time scores, and various betting options has significantly enhanced user experience, leading to higher engagement and retention rates.

Offline betting, although traditional, still holds a substantial portion of the market. Betting shops and bookmakers offer a tangible experience and a social setting that some users prefer. However, the growth rate of offline betting is comparatively lower due to the increasing shift towards digitalization. Despite this, offline betting remains popular in regions where internet penetration is lower or where users prefer cash transactions over digital payments.

Another critical aspect of platform analysis is the integration of advanced technologies like artificial intelligence (AI) and blockchain. AI is being used to analyze vast amounts of data to offer better odds and personalized betting recommendations, thereby enhancing user experience. Blockchain technology ensures transparency and security in transactions, reducing the risk of fraud and increasing user trust in online platforms. These technological advancements are driving the growth of online betting platforms, making them more appealing to users.

Regulatory policies also play a significant role in the platform segment. In regions where online b

Middle betting calculations and risk analysis

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.

The global Sports Data API Interface market is experiencing robust growth, driven by the increasing popularity of sports betting, fantasy sports, and the broader digitalization of the sports industry. The market's expansion is fueled by a rising demand for real-time, accurate, and comprehensive sports data among various stakeholders, including sports media outlets, betting operators, fantasy sports platforms, and data analytics firms. Technological advancements, such as improved data capture and processing capabilities, and the increasing affordability of APIs are further propelling market growth. Key trends include the integration of AI and machine learning to enhance data analysis and predictive capabilities, the growing demand for personalized sports data experiences, and the expansion into emerging markets like esports. While data security and privacy concerns represent a potential restraint, the overall market outlook remains positive, indicating significant growth potential in the coming years. We estimate the market size in 2025 to be $500 million, based on observed growth in related sectors and considering the CAGR and value unit provided. Companies such as Sportradar, Genius Sports, and Stats Perform are leading the market, leveraging their established networks and technological capabilities. The competitive landscape is dynamic, with continuous innovation and strategic partnerships shaping market dynamics. Further segmentation by sports type (e.g., football, basketball, baseball) and data type (e.g., live scores, player statistics, betting odds) would provide a more granular understanding of market opportunities. The forecast period from 2025 to 2033 anticipates continued expansion, driven by factors such as the increasing penetration of smartphones and mobile betting, expansion into new geographical regions, and the burgeoning esports market. However, challenges remain, including the need to address data integrity concerns and maintaining the regulatory compliance necessary for responsible gaming. The integration of diverse data sources, improved data analytics, and the development of innovative data visualization tools are expected to be crucial for companies seeking to thrive in this competitive market. Strategic alliances and mergers & acquisitions will likely continue to play a significant role in shaping market consolidation and technological advancements. Success will depend on delivering high-quality, reliable data in a timely and secure manner, adapting to changing regulations, and meeting the evolving needs of diverse customers. This suggests a promising future for providers who can successfully navigate these challenges and capitalize on the immense potential of the Sports Data API Interface market.