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Professor Furlong and Pascal at the AI Lab
THE AI LAB
THE LAB · REFERENCE STRATEGIES

Do hurdle favourites make money?

Hurdles are kinder than fences, so the favourite should get round and pay. Over 6,002 hurdle races it wins more often and still returns -7.3%.

Doesn't workTested on 6,002 racesROI: -7.3% ROI
18+ onlyResearch output, not adviceMethodology open · losses visible

Our in-house model lost 16.8% ROI on the pre-registered Oct-Nov 2024 backtest window.

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The verdict

No. The hurdle favourite wins more often than favourites in general, but the market prices the cleaner run in, and across 6,002 races it returns -7.3% once fallers and pulled-up horses are counted as losing bets.

Updated 9 October 2026 · 30,221 races settledSee where this ranks against every system →

What this experiment settles

  • How much does backing the favourite in every hurdle race cost once fallers and pulled-up horses are counted as losing bets?
  • If the hurdle favourite wins more often than favourites in general, why does it still lose money?
  • Is the favourite over hurdles a better bet than the favourite over fences, or is the gap within the noise?

Methodology

Tested against the Stablebet betting-systems backtest, 30,221 GB races to industry SP, recomputed 9 October 2026. Returns measured to industry SP, flat £10 win on the model's top-rated pick per race unless stated. The underlying ledger and per-race results are public at /ai-race-predictor/track-record/. For the detail, see how the AI model prices a race and how we settle every bet.

By the numbers

−7.3% ROI
−7.3p
Return on every £1
wins 39%
Strike rate
6,002 bets
Sample
[-10.6,-4.4]
95% range

Carol · the conditions specialist swears by this one: the proven course-and-distance winner, or the mudlark when the rain comes.

Pascal

Pascal “Hurdles are lower and softer than fences, so fewer horses come down and the best one gets a clean run. Take the big fences out of the jumps game and the favourite should win more often and pay its way.”

Professor Furlong

The Professor It wins more often, and it still loses. Over hurdles the favourite returned -7.33% to Starting Price across 6,002 races, about £92.67 back for every £100 staked, and it won 39% of them. Pascal has half of it right: hurdles are easier to jump than fences, so falls are rarer. The market prices that in too. A favourite that is more likely to get round goes off at a shorter price, and the bookmaker's margin sits on top of every one, so the extra winners are paid for before the bet is struck. The favourite over fences returns -9.24% and the jumps favourite overall -8.09%: hurdles or fences, the leak is steady.

The claim

Pascal, the Lab's eternally hopeful punter, has never trusted fences. He has watched too many favourites travel like winners for two and a half miles and then meet an open ditch wrong. So over a winter of muddy Saturdays he has worked out a cleaner theory. Take the big obstacles out of the equation. Hurdles are lower than fences, lighter, and built to give when a horse clips one, so a slick jumper loses little and a sloppy one usually gets away with it. Fewer horses come down. The best horse in the race gets a clean run round, and the best horse in the race is usually the favourite. Keep the hurdles, leave the chases alone, and the favourite should win more often and finally pay its way.

There's real thinking behind this. Pascal has spotted something true about jump racing: the obstacle matters, and the type of obstacle changes how often a race goes to plan. Most of the risk that worries a jumps punter lives at the fences, and a hurdle race asks a gentler question of horse and rider. If any corner of National Hunt racing was going to reward the plain act of backing the market leader, a cleaner contest looks like the obvious place to start.

We already know the jumps favourite as a whole loses money, and that test lives at /ai-race-predictor/lab/do-jumps-favourites-make-money/. This page asks the narrower question Pascal actually cares about. We took every hurdle race in our database, 6,002 of them, and backed the favourite in each one with the same flat stake, settled at Starting Price. Fallers, unseated riders and pulled-up horses count as losing bets here, as they do on every jumps page on the board, because the theory is about horses getting round and the test has to count the ones that don't. Then we added it up.

Why people believe it

The theory has a lot going for it before a single bet is struck. Start with the jumping itself. A hurdle is a smaller test than a fence, and anyone who has stood by the rail on a jumps card has seen the difference: horses brush through the top of a hurdle and keep galloping, where the same mistake at a fence can end the race on the spot. For a punter whose biggest fear over jumps is the faller, a race with gentler obstacles feels like that risk has been turned down.

Then there's the result, and here Pascal deserves credit. His theory makes a prediction you can check, and the check comes back on his side. The favourite over hurdles wins 39% of these races. The everyday favourite, taken across every race in the database, wins 35% of its races. So the hurdle favourite does win more often, which is what a cleaner run should produce. That is the part Pascal feels every week: more afternoons when the market leader comes home in front, more returns to collect, fewer hard-luck stories at the last.

Hurdle racing also feels readable. Plenty of these races are novice events, young horses learning the job, and the market is often confident about which one has the most ability. A short-priced favourite in a small novice hurdle looks about as close to a formality as jump racing ever offers. Watch one come clear up the run-in on a Wednesday afternoon and it is hard to believe the bet could lose money over a season.

That feeling is where the trouble starts. Winning more often is a statement about the horse. Making money is a statement about the price, and the price over hurdles has been set by people who know about the cleaner run just as well as Pascal does.

Where the money goes

The market prices the cleaner run in. Bookmakers and the exchange crowd know a favourite over hurdles is more likely to get round than one over fences. That knowledge goes straight into the odds. A horse with a better chance of completing has a better chance of winning, and a better chance of winning means a shorter price. So the extra winners Pascal is counting on have already been paid for. He collects more often, and each collection is smaller, because the price was cut to match the risk before he ever placed the bet.

On top of that sits the bookmaker's margin, the overround. Add up the chances implied by every price in a race and they come to more than a hundred per cent. That surplus is the house cut, and it applies to every runner, favourites included. A price that matched the horse's true chance would roughly break even over thousands of bets. A price that matches the true chance minus the margin loses slowly and steadily, and the margin doesn't care whether the obstacles are hurdles, fences or nothing at all.

Then there are the fallers. Hurdles are kinder than fences, but horses still come down over them, still unseat their riders, and still get pulled up when the race goes wrong or the ground turns too testing. Each of those settles as a losing bet, the full stake gone, exactly as if the favourite had finished last. A cleaner contest means fewer of them. It doesn't mean none, and every one that happens costs the whole stake with nothing in the win column to set against it.

So the hurdle favourite wins more often and is paid less for each win, and the margin and the odd faller see to the rest. Pascal's extra winners are real. They were bought at a price that already knew about them.

Professor Furlong with a losing betting slip at the Stablebet AI Lab
The Professor has run this one through the numbers before. It still loses.

How we tested it

We kept the test as blunt as Pascal's theory. The filter is the race type recorded in our database: every race listed as a hurdle race qualifies, and nothing else does. Steeplechases over fences are out, and so are National Hunt Flat races, the bumpers, which are run on jumps cards with no obstacles at all. That distinction matters, because our jumps favourite test takes all three together. This page isolates the hurdles. The filter leaves 6,002 races out of the 30,221 real British races we hold.

In every one we backed the favourite: one flat stake, official industry Starting Price, non-runners voided, joint-favourites split, and a recorded winner required. Fallers, unseated riders and pulled-up horses count as the losing bets they are. That rule carries extra weight on a page about hurdles, because the whole theory rests on horses getting round. If we quietly left the non-finishers out, the favourite would look better than it is, and the flattery would land on the exact claim we set out to test. A favourite that falls at the second-last costs the punter precisely what a favourite beaten twenty lengths costs.

Starting Price is the kind figure. It assumes the official return with no commission and no shading of the price. A real punter taking real prices would usually do a little worse than the number below, so if anything this test flatters the bet.

There's no selection, no form filter and no staking trick. We didn't pick out the novice hurdles or the handicaps. Every hurdle race went in, the good afternoons and the bad, and the favourite carried the same stake each time. A sample of this size is large enough to answer a yes-or-no question about profit. The range around the figure is wider than on our biggest tests, which run to tens of thousands of races, and the next section shows it rather than hiding it.

The numbers

Here is the number. Backing the favourite in every hurdle race returns -7.33% across 6,002 races, so about £92.67 of every £100 staked comes back over the long run. The favourite wins 39% of these races, a healthier strike rate than favourites manage across racing as a whole. The 95% range on the result is [-10.6,-4.4]. The kind end of that range sits below zero along with the painful end, so this is a loss the data can see clearly, and waiting for variance to turn it round would mean waiting for something the sample says isn't coming.

Now the comparisons, with a warning attached. The favourite over fences returns -9.24%, the jumps favourite taken as a whole returns -8.09%, and the everyday favourite across all 30,221 races returns -9.03%. The hurdle figure sits at the gentler end of that group. The ranges around these numbers overlap, though, so we won't tell you hurdles beat fences as a settled fact. A gap that sits inside the noise is a gap we can't stand behind, and the fence test at /ai-race-predictor/lab/do-chase-favourites-make-money/ carries its own range for you to set beside this one.

What the comparison does show is the pattern Pascal didn't expect. Cleaner obstacles bought the favourite a higher strike rate, and the return stayed firmly negative. Every figure in that group sits below zero. The market adjusted its prices to the cleaner run, the margin stayed where it always is, and the leak carried on.

That is the main finding of the page, and it is worth more than the headline figure. Strike rate and profit are separate measurements. A system can improve the first without rescuing the second, because the bookmaker sets the price after seeing the same strike rate you do. These figures pull live from the current data, so as each jumps season adds races the range will tighten and this page will show it.

The verdict

Hurdle favourites don't make money. Across 6,002 hurdle races the favourite returns -7.3%, about £92.67 back for every £100, with a 95% range of [-10.6,-4.4] that stays below zero from end to end. Pascal's theory still earns its place on the board, because half of it holds up. Hurdles are the gentler obstacle, the favourite does get round and win more often, and you can see that in the strike rate.

The half that fails is the half that matters to a bank balance. A favourite that is more likely to win goes off at a shorter price, so the cleaner run is priced in before the tape goes up. The bookmaker's margin sits on top of that price, as it does on every runner in every race, and the fallers that remain still settle as losers. More winners at shorter prices, less the margin, adds up to the same kind of loss favourites show everywhere else on this board.

That makes this a useful page to carry to any racecourse. When a theory improves the strike rate, ask whether the price already knew. Over hurdles it did. The market had watched the same races Pascal watched, reached the same conclusion about cleaner jumping, and shortened the favourite to match. Pascal read the obstacle correctly. He just wasn't the only one reading it.

None of this is a reason to stop enjoying a winter afternoon of hurdle racing. If you bet on it, treat the stake as the cost of the entertainment: a flat stake you can afford to lose, never money you need for anything else. Past performance is no promise of future returns, our Starting Price settlement is kinder than the prices most punters actually get, and no staking plan turns a negative edge into a positive one. On this evidence the hurdle favourite carries no edge to size up, however often it obliges.

Frequently asked questions

Do hurdle favourites make money?
No. Backing the favourite in every hurdle race in our database, 6,002 races, returns -7.33% at flat stakes to Starting Price, about £92.67 back for every £100 staked. The favourite wins 39% of those races, more often than favourites across racing as a whole, but the extra winners come at shorter prices and the bookmaker's margin sits on every one of them. The 95% range is [-10.6,-4.4], and both ends of it are below zero.
Hurdles are easier to jump than fences, so why doesn't the favourite pay?
Because the market knows hurdles are easier to jump too. A favourite with a better chance of getting round has a better chance of winning, and its price shortens to reflect that, so the cleaner run is paid for before the bet is struck. The bookmaker's margin then sits on top of the price, and the fallers, unseated riders and pulled-up horses that remain still settle as losing bets. Pascal is right about the jumping and wrong about the money.
Are hurdle favourites better than chase favourites?
The hurdle favourite returns -7.33% and the favourite over fences returns -9.24%, so on the headline figures the hurdle number sits at the gentler end. We won't call that a settled difference. The ranges around the two figures overlap, which means the gap could be noise, and both bets lose money at Starting Price. The jumps favourite across hurdles, fences and bumpers together returns -8.09%. Hurdles or fences, the leak is steady.
Are fallers counted in the hurdle results?
Yes. Fallers, unseated riders and pulled-up horses are settled as losing bets, the full stake gone, exactly as if the favourite had finished last. That is the honest settlement and the one every jumps page on our board uses. Leaving the non-finishers out would flatter the figure, and on a page testing whether horses get round over hurdles it would flatter the very claim being tested. Non-runners are voided, joint-favourites are split and a recorded winner is required.
Doesn't a higher strike rate make the hurdle favourite a safer bet?
It makes it a more frequent winner, which feels safer. The favourite over hurdles wins 39% of its races, while the favourite across every race we hold wins 35% of them. Strike rate and profit are separate measurements, though. The price is set after the market has seen the same strike rate you have, so a horse that wins more often is offered at shorter odds. Those shorter prices take back what the extra wins give, the margin leaves the bet in the red, and no staking plan changes that.

What this experiment doesn't cover, and what we're testing next

  • Do novice hurdle favourites and handicap hurdle favourites tell different stories once they are tested apart?
  • Does testing ground change the picture for hurdle favourites, with more horses pulled up when the going turns heavy?

Other Lab experiments

Browse every system tested →