Odds & Betting Data
The Ultimate Guide to Odds & Betting Data 2021
What is Odds & Betting Data?
Odds & betting data is information about winning probability, odd percentage, historical game results, and possible outcomes of sports games. This data is sourced from different betting websites. Odds are a prediction of how likely it is a team will win. Odds also dictate the amount you receive as your payout if you win the bet. This data also includes historical odds and win-loss records. The common sports that are used in betting are basketball, racing, football, baseball, and tennis. In addition, due to its popularity, esports games are now used for bets.
How is Odds & Betting Data collected?
Odds & betting data is collected through various sources. Different leagues like the NBA, NFL, and NTL offers real-time scoring on their websites. This information can be gathered using web scraping tools. Sports channels can also be a source for this data. For esports games, game creators or organizations publish the results of matches. How the odds are calculated is based on the number of bet participants.
What are the attributes of Odds & Betting Data?
Based on the number of data points in an odds & betting dataset, the common attributes for odds and betting data are as follows:
Winning probability: is a statistical prediction of the chances for a team to win. This is based on the previous performance of the team.
Number of Odds: this is calculated through which team has more bets placed on it. The payout is your principal amount times the number of odds. For example, for 3.00 odds, your $1 will be $3. There are many types of odds, like fractional odds, decimal odds, and American odds.
Win-lose record: this is the archived records of a team. This includes the number of times each team has played together and their win-loss record.
What is Odds & Betting Data used for?
Investors and bettors use this data to gather information about the winning probability of a team. Odds & betting data is based on the statistical prediction of oddsmakers. This data helps new bettors decide which team to choose. A low odd means the chance of winning is likely. Odds & betting data also provide insights from expert analysts of each field.
How can a user assess the quality of Odds & Betting Data?
To access high-quality odds & betting data, data providers must ensure that their data is clean, updated in real-time, and gathered from statisiticians and betting experts to ensure it’s accurate. Make sure that your odds & bettting provider offers good customer service. One way of assessing a proivder’s customer service is by checking the reviews of their datasets, and by requesting a data sample to counter check that their data is accurate.
Who are the best Odds & Betting Data providers?
Finding the right Odds & Betting Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Odds & Betting Data providers that you might want to buy Odds & Betting Data from are TheSports, SportMonks, API-SPORTS, iSports API, and Goalserve.
Where can I buy Odds & Betting Data?
Data providers and vendors listed on Datarade sell Odds & Betting Data products and samples. Popular Odds & Betting Data products and datasets available on our platform are Football API | Enterprise Plan | Sportsdata for 1,200 + leagues worldwide by SportMonks, API-SPORTS: Sports Data Product - Ultra Plan (Global Data Coverage) by API-SPORTS, and TheSports - Soccer Basic & Real-time Data Plan from 1800 leagues & competitors by TheSports.
How can I get Odds & Betting Data?
You can get Odds & Betting Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Odds & Betting Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Odds & Betting Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Odds & Betting Data?
Odds & Betting Data is similar to TV Viewership Data, Event Data, Podcast Data, Streaming Data, and Sports Data. These data categories are commonly used for odds calculation and Odds & Betting Data analytics.