In-depth horse racing data insights
The best-in-class horse racing analytics solution.
The home of horse racing data and insights
RaceiQ is a new data platform designed to provide in-depth analysis for every horse’s performance before, during and after every race. RaceiQ is based on applying high class data science and engineering to rich performance tracking data to create new models, which then constantly evolve using machine learning. Previously, many mid race incidents would only be obvious to a keen racing eye, however RaceiQ’s new suite of metrics are designed to simplify and open up the narrative of a race to everyone, regardless of their racing experience and knowledge.
Next-level insights
With over 50 metrics modelled by Data Scientists, using AI and eight billion datapoints, RaceiQ is revolutionising analysis in horse racing.
RaceiQ metrics
Deepening every fan’s understanding of horse racing
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What the experts say
Discover how RaceiQ metrics are elevating broadcast
“Horseracing is slowly catching up with the data-driven world and thanks to RaceiQ we have much more of it.”
Ruby Walsh
Former Champion Jockey and ITV Racing Analyst
“There is no such thing as too much data. I’ve been a professional racing analyst for over 20 years, but even experienced eyes will miss plenty of relevant details and nuance. Well harvested data has a great capacity to inform, surprise and improve understanding. Sophisticated utilisation of data is an area that is only going to grow in racing.”
Kevin Blake
Racing Analyst and Broadcaster
“RaceiQ Data has brought the sport of horseracing to life. Visual impressions, for so long, have been the analysis tool of the sport, and they are now accompanied by accurate, understandable, and revolutionary analytics. The sport can now embrace the future in the knowledge that RaceiQ has brought a new level of understanding that links data and punditry to tell compelling racing stories.”
Angus McNae
Analyst and Presenter, Racing TV
RaceiQ products & services
Offering compelling new horse racing narratives
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