TXlab TXLAB Image

Big Data Science Platform

COMMON USES

cached
Improve margins by back-testing or enhancing existing models

attach_money
Perform quantitative and historical price analysis

trending_down
Analyse how you lost or are losing money

swap_horiz

Reverse engineer bookmaker odds and margins

tune

Machine learning models for expected “normal” prices

poll

Analyse predictive power of bookmakers – what leagues do they price best?


OVERVIEW

TXLab gives clients access to the world’s biggest archive of timestamped tick-by-tick sporting odds data. We store all odds that we offer on our Market Feed (pre-game) and Trader Feed (pre-game and in-play).

Data from the Market Feed goes back to 1999/2000 season whilst Trader Feed data is available from December 2006. We currently have odds stored from 200+ active bookmakers and 100+ inactive bookmakers on over 40 sports via the Market Feed. The Trader Feed focuses on the most influential bookmakers from each sport with precise pre-game and in-play tick-by-tick odds available.

Both feeds are combined on TXLab to allow users extensive coverage of sporting odds data for both pre-game and in-play.​

OBTAINING DATA

R-API

Using the R-API allows to leverage the latest Big Data technology. Model, filter and query to precise criteria within your own R-space to identify the specific matches that you wish to download.

Each client R-space is completely private so users are able to import their own data and cross reference it with TXLab data without any additional technical issues or risks.

For technical documentation or more details please contact us below





* Required field