We’re a small group of people who like horse racing and happen to be good with data.
That’s the honest version. The longer version is that we spent years doing what most racing fans do: reading the Racing Post form comments, trusting gut instinct, occasionally backing something because a tipster on Twitter sounded confident. And like most people who bet that way, our results were patchy at best.
At some point we started wondering whether the numbers actually backed up the things everyone says. Does draw really matter at Chester? Do trainers genuinely have “course specialists” or is it just small sample noise? Is there any truth to the idea that front-runners struggle in soft ground?
So we built a database. Nearly half a million UK and Irish races going back decades. And we started looking.
Some of the received wisdom held up. Some of it didn’t. Some of the patterns we found were genuinely surprising. That’s what this site is about: sharing what we’ve found, with the actual numbers attached.
What we do
We publish course guides, race trend analysis, and educational content about horse racing, all grounded in data from our own analysis. When we say a trainer has a good record at a course, there’s a win percentage and a sample size behind it. When we say going matters for a particular race, we’ll show you the historical breakdown.
We also review racing tools and data services. We try to be fair about this. Some of what we review we earn affiliate commission on, and we’ll always be upfront about that. But a recommendation that turns out to be rubbish costs us more in credibility than it earns in commission, so we’d rather be honest.
What we don’t do
We’re not a tipping service. We don’t have a “nap of the day” or a premium Telegram group. There are enough of those already. What we offer is the information and analysis to help you think about racing more clearly and make your own decisions.
We’re not infallible either. Data has limitations. Sample sizes can be small, conditions change, and the betting markets are reasonably efficient. We try to be upfront about uncertainty and we’ll tell you when the data is inconclusive rather than pretending otherwise.
Get in touch
If you’ve got questions, spot an error, or want to suggest something, drop us a line at [email protected].