Horse racing data API or CSV, SQL and JSON dataset? Compare how each fits your volume, refresh needs and team, then choose a plan with confidence.
Horse racing data coverage explained: 2.2M results, 226K races and 173K horses across the UK, Ireland and Hong Kong, and how far back each goes.
Same name horses can merge two careers into one in racing data. See how joins break, what to test in your pipeline, and why stable IDs matter.
What TT, B, H, XB and the other gear codes on a Hong Kong racecard mean, how the suffixes work, and how to store them in a database.
Ten questions to put to any horse racing data provider, with a test for each one you can run on a sample file in an afternoon.
A set of plain statistics measured on our own UK, Irish and Hong Kong results: how big the fields are, how often horses fall, and how short most careers are.
Five checks to run on any horse racing dataset before you train on it, with a short pandas audit and the traps we have seen in real racing data.
UK race distances are text, there are about 1,900 of them, and the surface column is not what its name suggests. A practical guide with the real counts.
Why analysts keep coming back to racing as a dataset, and the honest limits that come with each of its strengths.
Which UK and Irish racecourses stage the most races? We counted every race since 2011. The answer is not the famous ones.
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