How Laying Your Own Selections Proves You Have an Edge

A simple way to check if your ratings hold real information is to measure your top picks against the horses you rate as lays.

How Laying Your Own Selections Proves You Have an Edge

Recorded August 2025 for Why Preparation Wins Race Days (and How I Got it Wrong). Any figures mentioned are from that time.

The quickest way to find out whether your ratings actually mean anything is to measure both ends of them. Back the top selections and measure the return. Then take the horses the same ratings flag as lays and measure those. If the two numbers sit miles apart, the ratings are sorting the field. That gap is the thing I care about, not the raw profit figure on its own.

Why the gap tells you more than the profit

Selection one came back at plus 5%. On its own that is a modest number. You could stare at it all day and not know whether it is a real edge or just a run of luck. But the moment you look at the other end of the ratings, the picture changes. If the horses I rate as lays go the other way, and go there with some force, then the ratings are not random. They are separating runners that win more often than the market expects from runners that win less often. A wide swing between the back side and the lay side is information. A narrow swing is noise with a nice label on it.

Profit is one output, sorting power is another

This is why it is not all about golden boards, good roughies and backs. Those horses might be kept shorter in the market, which eats into the return without meaning the rating was wrong. If I only ever judged the work by the back-side profit, I would throw away perfectly good information because the market had already found some of it. The lay side has no such problem. It tells me whether the bottom of my ratings is genuinely the bottom.

Filters move both ends at once

The same test is how I judge a filter. Take cruising rank over shorter distances, which is really about race pressure. Most cruising rank positive horses are on pace. Not all of them, but the ones that are not probably should be sitting more forward. When I add race pressure of slow and very slow, the numbers move. Sixty-six bets, 27 winners, a 40% win rate and a 35% return. That win rate is strong and it all marries up with the logic behind the filter.

I would not treat 35% as a going rate though. Sixty-six bets over two and a half months is not a long run, so the sample is doing a lot of work in that number. What matters is that the filter lifted the whole thing in the direction the theory said it should. That is a different kind of evidence than a single flattering percentage.

Slicing the same selections another way

Probability difference is another lever. It is the bullet price compared to the high price. If a horse is at $2, that is 50%, and you can measure how far the rest of the assessment sits from that. Running selection one through a band of probability difference, say minus 100 to minus 10, pulls out a different group of horses from the same ratings without changing the ratings at all. Each slice gives you another chance to see whether the back and lay ends still pull apart.

If you are building your own ratings, run the lay test before you worry about the profit line. Measure the top, measure the bottom, and look at the distance between them. If there is no distance, no filter is going to save it.

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From the full video: Why Preparation Wins Race Days (and How I Got it Wrong)

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