Are horse racing betting markets actually efficient?
The favourite gets turned over. Somebody says the market got that completely wrong. It is the most natural sentence in racing and it is usually not true.
The short answer
Mostly yes, in the sense that matters least to a punter, and not obviously in the sense that would make anybody money. Those are different claims and the word efficient is doing too much work if you only use it once.
Our own paired comparison found exchange prices statistically indistinguishable from perfectly calibrated, and bookmaker prices measurably not, on identical races. That is a real and useful difference. It is still not a route to profit.
A prediction and a probability are not the same object
Start with the sentence at the top. The favourite was beaten, so the market was wrong.
A horse priced at around a one-in-three chance is expected to lose roughly two times in three. When it loses, the price has not failed. The price told you, in advance, that this was the more likely outcome. Treating a beaten favourite as a market error is like treating a forecast of a thirty percent chance of rain as wrong because it stayed dry.
A prediction names a winner and can be right or wrong. A probability describes a distribution and can only be judged across many races. Racing talk slides between the two constantly, usually within one sentence.
You cannot grade a probability from one race. You can only grade it from a few thousand.
Efficient means at least three things
Eugene Fama's 1970 review in the Journal of Finance gave the phrase its working definition: a market is efficient when prices fully reflect available information. That definition has done enormous work in economics, and it is narrower than the way the word gets used in a betting shop.
In practice people mean one of three things, and the argument usually happens because two people mean two of them.
Information efficiency. Whether the things that are known about a race are already in the price. Trainer form, ground, the stable's intentions, the money.
Calibration. Whether the probabilities are numerically honest. Do horses priced at a one-in-four chance win about a quarter of the time. This is measurable and it is the one we test.
Profitability. Whether anything is left after the margin, the commission and everybody else's cleverness. This is the only one that pays for anything, and it is the hardest to establish.
A market can be beautifully calibrated and still leave nothing on the table. A market can be poorly calibrated in some corner and still be unprofitable once costs are paid. Proving one of these three says very little about the others.
What our own data says about calibration
We measured the same races twice, at the exchange price and at the bookmakers' starting price, on 1,997 races and 18,529 runners, with the overround normalised the same way on both sides. Two reviewers re-ran it independently.
The Betfair calibration slope came out at 0.974, with a 95 per cent confidence interval of 0.925 to 1.023. That interval contains 1.000, which is the value a perfectly calibrated price would have. On this sample the exchange price is not statistically distinguishable from exactly right.
The bookmakers' starting price on the same races came out at 1.095, interval 1.041 to 1.148. That interval excludes 1.000. The contrast is the finding, not either number alone: on identical races one of these prices is indistinguishable from calibrated and the other is measurably not.
The margins sit either side of the same gap. The exchange carries 0.2% of built-in margin. The bookmakers' starting price carries 19.2%.
And on the favourite study, across 60,671 races, actual wins against the wins implied by the favourites' own prices came out at 0.997. The racing did very nearly what the prices said it would.
What Elite Pass found
- Exchange calibration slope 0.974, 95 per cent interval 0.925 to 1.023, which contains 1.000.
- Bookmaker starting price 1.095, interval 1.041 to 1.148, which does not.
- Both measured on the same 1,997 races and 18,529 runners, re-run by two reviewers.
- Favourites: 0.997 actual against expected across 60,671 races.
What it does not show
It does not show the market cannot be beaten. Calibration on average is compatible with pockets of mispricing we have not looked for.
It does not show the market is perfectly efficient. It shows one price series is not distinguishable from calibrated on one sample, which is a much smaller statement.
It does not make the bookmaker price wrong in any individual race. A slope above 1.000 is a statement about a distribution of prices, not about the one in front of you.
The pattern we keep running into
Almost every promising racing idea we have tested has died the same way, and it is not the way people expect. The effect is usually real. It just turns out to already be in the price.
Steamers are the cleanest example. Horses that shorten do win more often than horses that drift, and the money moves a long way in the last hour. Then you compare a steamer and a drifter at the same final price, and the advantage disappears. The move was telling you where the horse would end up, and the price at the end already knew.
Draw bias goes the same way. Ratings go the same way: across 30,088 races the top-rated horse won at 0.998 of the rate its price implied, which is to say the rating ranked horses well and told you nothing the price had not.
Obvious information being useful does not mean it stays useful after the market has priced it.
So what is left
If the price already carries the form, the money and the ratings, the honest place to look is where the price is being asked to summarise something awkward. Races where the structure is unusual. Races where the pace could collapse. Races where two horses are genuinely inseparable and the market has had to pick one.
That is not a claim to have found anything. We have 0 systems that have cleared our validation bar, out of 227 examined, and we publish that number precisely because it is the unflattering one.
What is Betfair Starting Price covers the price these tests are measured against. Do steamers win more often is the full market-move study. The system audit lists what we have examined and what survived.
Academic sources
- Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25, 383 to 417. doi:10.1111/j.1540-6261.1970.tb00518.x
- Thaler, R. H., & Ziemba, W. T. (1988). Anomalies: Parimutuel Betting Markets: Racetracks and Lotteries. Journal of Economic Perspectives, 2, 161 to 174. doi:10.1257/jep.2.2.161
- Snowberg, E., & Wolfers, J. (2010). Explaining the Favorite-Long Shot Bias: Is it Risk-Love or Misperceptions? Journal of Political Economy, 118, 723 to 746. doi:10.1086/655844
Related research
- Everyone remembers the beaten favouriteShort-priced favourites getting turned over feel like events. The wins feel like the default. That asymmetry is memory, not maths.
- Big fields and what they do to a favouriteMore runners means more ways to be beaten. That part is true. The awkward part is that the market worked it out before we did.
- What is the favourite-longshot bias in horse racing?Bettors have long taken too little of the favourite and too much of the outsider. Economists have studied it since 1949. What our 60,671-race study found.
Elite Pass publishes research, not guaranteed outcomes. Findings are measured against the market and remain subject to replication and sample size. The evidence room and the public ledger carry the full record.