- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
What is Odds Data?
Odds data is numerical representation of the likelihood of an event occurring in sports betting or gambling. It provides information on the probability of different outcomes and is typically presented in decimal, fractional, or American formats. Odds data helps bettors make informed decisions by assessing the potential risk and potential return associated with a particular bet.
Examples of Odds Data include sports betting odds, election betting odds, and financial market odds. Odds Data is used for making informed decisions and predictions in various fields such as sports betting, political analysis, and financial trading. In this page, you’ll find the best data sources for odds data.
Best Odds Databases & Datasets
Here is our curated selection of top Odds Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
OTT (Over-the-Top) Data, Entertainment data, Music Data, Movie Data, IMDB Reviews & Rating Data | Scrape all Publicly available Entertainment Data
Football API | Enterprise Plan | SportsMonks Sports data for 1,200 + leagues worldwide
Football API | World Plan | SportMonks Sports data for 100 + leagues worldwide
Football API Euro Plan | Sports Data for European Matches | SportMonks
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Popular Use Cases for Odds Data
Odds Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Odds Data.
Main Attributes of Odds Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The Internet Protocol version 4 (IPv4) address of an endpoint. | View 1 datasets |
Frequently Asked Questions
How is the Quality of Odds Data Maintained?
The quality of Odds Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Odds Data Updated?
The update frequency for Odds Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Odds Data Secure?
The security of Odds Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Odds Data Delivered?
Odds Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Odds Data.
How Much Does Odds Data Cost?
The cost of Odds Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Odds Data for your needs.
