The most comprehensive and accessible data relating to sports betting available in the world.
- Access the world's biggest archive of timestamped sports betting odds data.
- Leverage the latest big data technologies for statistical and historical analysis.
- Execute complex queries and enjoy fast response times.
- Perform quantitative analysis, competitor analysis, historical pricing analysis.
- Ideal for back-testing, enhancing your existing models and custom reporting.
- Timestamped pre-game odds from 1999/2000 season.
- Tick by tick in-running data since December 2006.
- Over 25 sports for pre-game - as well as additional tournament data such as Olympics.
- Multiple line low latency for all Full Time and First Half Asian handicap, totals and 1x2 betting from the key operators for over 880,000 pregame and 620,000 in-running matches including final score data.
- Access to the whole history of odds from industry stalwarts such as SBO and Pinnacle since they first appeared online, as well as hundreds of others that no longer exist.
- Regular data dumps in generic and customer-requested formats for both AHC and XML2 odds along with appropriate match metadata.
- Specialised data dumps for matches meeting certain criteria, for example, a range of starting prices.
- Regular reports on general coverage provided by TXODDS, including sports, leagues, odds types etc.
- A variety of coverage reports, providing insight into which leagues are covered by which bookmakers as well as comparative analysis identifying gaps in any bookmaker related to leagues, odds types or lines.
- Raw odds progressions in-running and machine learning models for expected 'normal' prices.
- Latest "big data" technologies developed in other fields to order and easily manage trillions of pieces of odds data.
- "R" interface for working directly on large datasets.
- Hadoop infrastructure, no more requirements for handling large SQL files or data dumps.
- Quantitative modelling
- Historical analysis of pricing and margins
- Competitor analysis
- Custom reporting
- Analyse exactly how you lost or are losing money
- Improve existing models
- Reverse engineer bookmaker margins
- Analyse 'predictive power' of the bookmaker, i.e. for which leagues or matches their prices predict the final result better or worse.