Modern betting has long ceased to be a «game of chance» and is increasingly turning into a technological industry. To calculate odds and provide users with relevant data, betting applications require vast amounts of information. This is where sports APIs come to the rescue, allowing real-time statistics, historical data, and predictive models to be obtained.
One of the market leaders is considered API-sport — a service that provides access to sports information for developers, analysts, sports media, and betting platforms. With its help, live results, odds, team lineups, and much more can be integrated directly into an application or website.
What is API-sport?
API (Application Programming Interface) is a software interface that allows systems to exchange data. In the sports industry, APIs are used to transmit match statistics, results, transfers, and odds.
API-sport — a popular platform known for its speed and breadth of coverage. It supports dozens of sports and thousands of tournaments worldwide.
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Available data: live results, historical match databases, player statistics, transfers, bookmaker odds.
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Features: high update speed, support for different formats (JSON, XML), convenient REST and WebSocket interfaces.
Unlike competitors, API-sport combines broad coverage with a flexible pricing system, making it convenient for both small startups and large betting companies.
Using API to calculate odds in betting applications
For betting applications to function correctly and for users to see up-to-date odds, they require vast amounts of data. A simple table with match results will not suffice here — it is important to consider dozens of factors: from the current form of the team to the latest news about player injuries. This is why API-sport has become a key tool for developers and analysts.
First of all, the service provides match results in real time. This is the foundation for live betting: the user must see the score, the number of corners or cards literally a second after the event on the field. The API updates the data almost instantly, allowing bookmakers to accurately recalculate the odds.
Secondly, an important element is the bookmakers’ quotes. The service aggregates data on odds and helps to quickly compare them across different platforms. Based on this data, algorithms can calculate their own lines, offer clients profitable bets, or build a margin strategy.
The third aspect is the lineups and changes in teams. For analysts and bettors, this is critical: if a key player is absent from the match or the coach changes tactics, the odds must react instantly. The API service transmits such changes in real time, allowing for adjustments to calculations even before the game starts.
Player and club statistics are also very important. This is a whole array of information: the number of goals scored, ball possession percentage, average number of shots on goal, passing efficiency. Such data is used not only by bookmakers but also by analysts building predictive models to assess the probability of outcomes.
The API also covers transfers and news. For example, the transfer of a strong striker to another team or the injury of a captain can seriously affect the betting line. Thanks to the integration of this data, developers can quickly update the odds and notify application users.
Finally, API-sport provides archival data for modeling forecasts. This is statistics from past seasons, results of old matches, and the history of encounters between teams. Such data is indispensable for creating machine learning algorithms and long-term analysis. Based on archives, trends can be identified, more accurate odds can be formed, and betting strategies can be built.
API-sport It becomes not just a «provider of information,» but a full-fledged foundation for calculating odds. It combines live data, historical statistics, and analytical indicators in one interface, helping bookmakers and developers make applications as accurate and user-friendly as possible.
Supported sports
The API covers a wide range of disciplines:
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football, hockey, basketball, tennis;
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baseball, handball, volleyball;
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esports (CS:GO, Dota 2, League of Legends, etc.);
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rare sports and regional tournaments.
Technologies and formats
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REST API — a convenient way to work with data through HTTP requests;
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WebSocket — allows receiving updates instantly, without unnecessary requests;
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JSON and XML — data formats for convenient integration.
How to access the API?
To start using API-sport, you need to go through a few simple but important steps. It all begins with registration on the official website. This is a mandatory step because it is through the personal account that you manage settings, choose plans, and monitor the number of requests. The registration process is maximally simplified: you just need to provide an email address, create a password, and confirm the account.
After that, the system automatically creates a personal API key for the user. This key is the main tool for working with the service. It is unique and allows the server to recognize who exactly is sending requests and which plan is connected. Essentially, it is like an electronic «passport,» without which access to data is simply impossible. Developers insert this key into the code of their applications, and it is thanks to it that the API opens access to sports statistics.
The next step is choosing a tariff plan. Here, API-sport offers a flexible system:
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Free plan — for testing and small projects. It provides access to a limited number of requests and basic information. A great option for starting or learning.
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Paid plans — from standard to PRO packages. The higher the subscription level, the more opportunities: extended limits on the number of requests, access to match archives, high speed of live data updates, and support for additional sports.
The connection process looks simple: registration → obtaining an API key → choosing the appropriate tariff. But it is these steps that open the doors to a vast array of sports information, which becomes the basis for calculating odds and operating bookmaker applications.
10. RapidAPI, SportRadar, and other platforms provide access to BetsAPI and Livescore API through their channels. This is convenient for developers who need ready-made integrations and reliable SLAs.
Although the main and most reliable way to work is to use API-sport directly through the official website, sometimes developers prefer to connect services through third-party platforms.
One such option is RapidAPI. It is a kind of marketplace where many different APIs are gathered in one place. Here you can connect sports data literally in a few clicks, test them, and immediately integrate them into the project. RapidAPI is convenient in that it does not require separate registration on each service — all keys and subscriptions are stored in one account.
Another major player in the market is SportRadar. This is a world-class service that provides advanced analytics, including predictive models and specialized reports for betting companies. However, SportRadar is primarily aimed at large businesses: its cost is significantly higher, and for small projects, it can be too expensive.
Against this background, API-sport stands out favorably. Unlike more expensive competitors, it offers a balance between affordable pricing and data quality. It can be connected either directly through the official website (which provides full control and flexibility) or through third-party platforms like RapidAPI for integration convenience. Because of this, API-sport has become the choice not only for large betting companies but also for startups, sports media, and mobile app developers.
Developers have several options: to work directly with API-sport and get the most out of its capabilities or to use intermediaries like RapidAPI and SportRadar. It all depends on the scale of the project and the budget, but in many cases, API-sport becomes the optimal solution due to its versatility and flexible pricing policy.
API Integration
Connection examples (Python, JavaScript)
Python:
import requests
url = «https://api-sport.com/v1/football/matches»
headers = {«x-api-key»: «YOUR_API_KEY»}
response = requests.get(url, headers=headers)
print(response.json())
JavaScript:
fetch(«https://api-sport.com/v1/football/matches», {
headers: { «x-api-key»: «YOUR_API_KEY» }
})
.then(response => response.json())
.then(data => console.log(data));
Integration into CMS and mobile applications
The use of API services such as API-sport, is not limited to just large betting platforms. Today, sports data is increasingly being integrated into CMS systems (for example, WordPress, Joomla, Drupal) and mobile applications for iOS and Android. This allows websites and services of any scale to work with live results and odds at a professional level.
WordPress is one of the most popular engines for creating websites. Thanks to API services, you can turn an ordinary sports blog or news portal into a full-fledged statistics center. For example, the site can display live match tables, odds dynamics, tournament calendars, or even separate widgets with team lineups. This is done using plugins or custom scripts that make integration as simple and understandable as possible.
Mobile applications are another important direction. Betting applications and sports services for Android and iOS use APIs to provide users with relevant information in a convenient format. Imagine a fan opening the app and receiving real-time updates on the score, odds, and player statistics on whom they placed a bet. All this is possible thanks to constant data exchange via API.
Here, the combination with WebSocket is especially useful: the application does not just «load» new data every few seconds, but receives notifications instantly. This creates a sense of «live participation» in the event and makes betting more exciting.
The integration of API services into CMS and mobile applications opens up wide opportunities for developers: from simple display of matches on the site to complex betting solutions with dynamic recalculation of odds. It all depends on the scale of the project and the chosen technologies.
Where is it used?
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In betting and odds scanners — calculation and updating of chances.
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In sports analytics — building forecasts and models.
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In media and fan applications — broadcasting matches and statistics.
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In Fantasy Sports and esports — tracking results in real time.
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In BI and Big Data projects — analyzing large volumes of sports information.
Alternatives to API-sport.
Besides API-sport, there are other solutions on the market:
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SportRadar — powerful analytics, but more expensive.
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TheSportsDB — community-driven, fewer official data.
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DataSportsGroup — focus on statistics and forecasts.
API-sport It is often chosen for the balance of price and quality, while SportRadar solutions are better suited for large corporations.
FAQ
Is there free access?
Yes, but with limitations on requests and update speed.
What sports are supported?
Football, hockey, basketball, tennis, esports, and many others.
Is the API suitable for betting?
Yes, the data allows calculating odds and integrating them into applications.
How to connect the API to the application?
Through REST requests or WebSocket. It is enough to get an API key and write the code.
Can the API be used for predictions?
Yes, the data can be used for analytics, modeling, and forecasting.


Supported sports



