StableBet
Professor Furlong and Pascal at the AI Lab
THE AI LAB
Every test we have ever run, in one place. Betting systems, AI tipsters, market quirks. Pick a question and see the numbers.
A few of those were my ideas. The good ones, obviously.
THE AI LAB · STRATEGIES TESTED

Everything we've tested

The Lab runs two kinds of test, both settled the same honest way: real GB races, industry starting price, fallers and pulled-up horses counted as the losers they are. One asks whether a way of betting makes money. The other asks whether you can trust what AI tells you about racing. Open any test for the full story, the data, and the verdict.

Prefer it interactive? The Pascal vs the Professor league table ranks the systems by what they cost. New to odds? What a price really means.

Betting systems, tested

Does this way of betting make money? Every common staking plan and selection angle, run through tens of thousands of real GB races and settled honestly to the industry starting price.

Staking systems (2)

Backing & laying strategies (16)

Loses money0 of 20

Do any betting systems actually beat the market?

No — all 20 systems we tested lose money to the bookmaker's margin; the one that holds up best still returns about minus 4%, the famous bets fare worst, and even a purpose-built AI model can't out-price the market.

Read the full analysis →
Loses money-6.0% ROI

Do favourites win in big fields?

No, but here is the interesting part: the big-field favourite is a bigger price and wins less often, and on our sample that bigger price holds up better than the plain favourite, softening the return to -6.02% on a slice too small to lean on. It is still a loss, because what really costs you is the margin, not the size of the field.

Read the full analysis →
Loses money-8.8% ROI

Do favourites win in handicaps?

No, the handicap favourite's leak is −8.8p in every pound, because the handicapper builds the race to weight the favourite back towards the pack and the bookmaker still takes its cut on top.

Read the full analysis →
Loses money-7.4% ROI

Do favourites win in small fields?

The neat surprise: the small-field favourite really does win more often, it wins 46% of the time, yet it still does not make money. The shorter price hands that higher strike rate straight back, for a -7.4% return.

Read the full analysis →
Loses money-8.8% ROI

Do favourites win on soft ground?

No profit in the mud. The soft-ground favourite wins plenty of races but returns -8.8%, about the same steady leak as the favourite on any other surface, because the market has read the going report too.

Read the full analysis →
Loses money-9.3% ROI

Do Flat favourites make money?

No. Backing every Flat favourite returns -9.31% to Starting Price, and the reason is the sharp bit: an efficient market plus a built-in margin beats you even when you back the right horse.

Read the full analysis →
Loses money-7.8% ROI

Do jumps favourites make money?

No, the jumps favourite is not a profit but a steady loss, returning -7.8% once you count the jumpers that fall or pull up, the stakes the old folklore quietly left out.

Read the full analysis →
Loses money-4.6% ROI

Do odds-on favourites make money?

No, but odds-on favourites hold up best of any bet on the board, and seeing exactly where the last −4.6p in the pound goes is the useful part.

Read the full analysis →
Loses money-27.2% ROI

Do old horses win races?

Rarely, and never at the right price. Backing every runner aged ten or older returns -27.2% across 8,571 bets, worse than picking horses at random, because sentiment keeps the old stagers' prices shorter than their real chances.

Read the full analysis →
Loses money-8.7% ROI

Does backing the favourite make money?

The sharp finding: the favourite wins most often, yet the bookmaker's margin still catches it. Backing every favourite returns -8.74%.

Read the full analysis →
Loses money-34.5% ROI

Does backing the outsider work?

No. The longshot dream is the clearest case on the page of where the bookmaker's margin really sits: backing the outsider returns -34.5% to SP, the heaviest cost of any single-pick line we tested.

Read the full analysis →
Loses money-12.0% ROI

Does backing the second favourite work?

No. Backing the second favourite returns -11.97%, and here is the surprise: it costs you more than backing the favourite, not less.

Read the full analysis →
Loses money-15.9% ROI

Does backing the top-rated horse make money?

No. Backing the top-rated horse returns -15.9% to SP, worse than the favourite or the second favourite, and the reason is the genuinely useful bit: the official rating is already baked into the price.

Read the full analysis →
Loses money-21.6% ROI

Does picking a random horse work?

No. A random horse returns -21.56% to SP across 27,421 real British races, and the surprise is the size of it, roughly two and a half times what backing the favourite costs.

Read the full analysis →
Loses money-16.4% ROI

Does backing the top-rated horse in handicaps make money?

No. Backing the top-rated horse in handicaps hands the house −16.4p of every pound staked, and seeing exactly where that money goes is the useful part.

Read the full analysis →
Loses money0.26% (1 in 391)

How often does a 100/1 horse actually win?

About 0.26% of the time, roughly 1 in 391 runs, and backing every longshot blind loses 62.7p in the pound to SP. The longer the price, the worse the value.

Read the full analysis →

Market mechanics (3)

Bet types (7)

Holds up1 of last 10

Does each-way betting actually pay in the big-field handicaps?

Yes. With the right place terms (6+ places at 1/4 odds) and the right races, each-way at the big handicaps is one of the few bets where the maths is on your side.

Read the full analysis →
Loses money-30.6% ROI

Do accumulators pay?

No. A four-fold on favourites leaks −30.6p of every £1 staked, far more than backing those same favourites singly, because the bookmaker's margin is charged four times over.

Read the full analysis →
Loses money-16.7% ROI

Do doubles on two favourites work?

No. The surprise is by how much. A double on two favourites is a steeper loser than any single favourite bet, because it pays the bookmaker's margin twice and returns -16.72% to Starting Price.

Read the full analysis →
Loses money-62.1% ROI

Do random accumulators ever win?

No. The random four-fold is the sharpest illustration of compounding margin on the whole board, handing back well under half your stake because the bookmaker's edge is multiplied four times over.

Read the full analysis →
Loses money-17.5% ROI

Does the Lucky 15 work?

No. The interesting part is why: a Lucky 15 on favourites returns -17.46% to SP, roughly twice the cost of backing the same four favourites as singles, because the structure charges you the bookmaker's margin fifteen times over.

Read the full analysis →
Loses money-29.9% ROI

Is each-way an outsider worth it?

No, and the reason is the sharp bit: each-waying an outsider pays the bookmaker's biggest margin twice over, which is why it returns less than almost anything else on the page.

Read the full analysis →
Loses money-8.6% ROI

Is each-way betting on the favourite good value?

No. Here is the surprising part, each-way the favourite is really two bets in one, and at -8.59% to SP it returns about the same as simply backing that favourite to win, for double the stake.

Read the full analysis →

Meeting-specific (2)

The AI, tested

Can you trust what AI tells you about racing? We put prediction models and AI tipsters through the same honest test as every system: real races, real starting prices, wins and losses alike.

Live · The AI, tested

The Silicon Tipster League →

ChatGPT, Gemini, Grok, Claude and DeepSeek tip every race, settled at SP. Watch five AIs prove themselves live, from scratch.

Staking systems (1)

Backing & laying strategies (2)

This is research, not tips. The numbers describe what each system has done over a large, honest sample; they are not a signal to stake. The model is a calibrated read on a race and does not beat the market. 18+, please bet responsibly.

OUR TRACK RECORD · THE REAL COST OF A HABIT

What a year of betting actually costs

Updated 5 July 2026 · 27,421 races settled
Professor Furlong
Professor Furlong

Nobody puts a tenner on all thirty races a day, so the old “£10 on everything” sums never meant much. Here is the fair version: every system stakes exactly the same, £200 a week, spread across whatever bets it calls for, on real results. Same money in for each, so the difference you see is purely the system, not how much it bets. This is what each one takes out of a wallet.

Real results · £200 a week, identical for every system · 27,421 GB races 2023-10 to 2026-06 with a recorded result, flat stakes to Starting Price; non-runners void, fallers and pulled-up settled as losses, joint-favourites split · up to 5 July 2026
SystemWhat it isPer £1A weekA monthA year
Favourite over jumpsThe favourite, jumps only−7.8p−£16−£68−£808
−7.8p
Return per £1
wins 37%
Strike rate
10,194 bets
Sample
[-10.3,-5.4]
95% range
The verdict

It still loses, Pascal, and here is the honest version: backing the favourite over jumps returns -7.77% to starting price across 10,194 bets, so for every £100 staked you get about £92.23 back, with the favourite landing 37% of the time. The reason it loses is the one thing your reasoning ignores: jumpers fall and pull up. Over hurdles and fences your horse can be going best of all and still hit the deck or be eased at the second-last, and a faller is a losing bet, your full stake gone, win or lose. Add the bookmaker's margin baked into every price on top of those lost stakes and a steady leak is exactly what you get. One honest correction, though: an earlier figure on this page overstated the damage, because a settlement bug wrongly counted winnerless races as losses, which made the jumps favourite look like the worst favourite bet of the lot. Once that is put right it is nothing of the sort, the Flat favourite (-9.31%) and the handicap favourite (-8.81%) are both worse, so this is one of the less-bad favourite bets, not the steepest. It is still a loss, mind, and measured to SP with no commission, so in the real world it bleeds a touch faster.

Read the full experiment →
Each-way the favouriteHalf to win, half to place−8.6p−£17−£75−£893
−8.6p
Return per £1
places 62%
Strike rate
27,421 bets
Sample
[-9.6,-7.5]
95% range
The verdict

It is not a net, Pascal, it is two losing bets stapled together: across 27,421 each-way bets on the favourite the return is -8.59% to SP, so for every £100 staked you get back about £91.41. Here is why it loses. Each-way is really two stakes, a win bet and a place bet, and the place part only pays a fraction of the odds, usually a fifth or a quarter. Favourites are short-priced, so on a short favourite that place fraction often hands back barely more than your stake, sometimes less, while the bookmaker's margin, the overround, is baked into both halves. The bet lands often, more than three in five, which is exactly what makes it feel safe, but placing at cut odds never covers the times the favourite runs nowhere or, over jumps, falls and loses you the lot. The frequent small returns hide a steady leak, not a profit.

Read the full experiment →
Back the favouriteThe shortest price each race−8.7p−£17−£76−£909
−8.7p
Return per £1
wins 35%
Strike rate
27,421 bets
Sample
[-10.4,-7.3]
95% range
The verdict

Pascal is half right and that is the trap. The favourite does win most often, roughly a third of all races, but "wins most often" is not the same as "makes money". The bookmaker bakes a margin into every price, so even a fairly judged favourite pays back less than it should on average, and plenty still get beaten or, over jumps, fall and pull up so you lose those stakes too. Back the favourite in every race and you pay that margin every single time, which is why this loses 8.74% to starting price across 27,421 bets: stake £100 and you are left with about £91.26 over the long run. It is among the least painful of the basic bets, but it is still a steady leak, and measured to SP with no commission, so in the real world it bleeds a little faster.

Read the full experiment →
Back the second favouriteOne off the favourite−12.0p−£24−£104−£1,245
−12.0p
Return per £1
wins 21%
Strike rate
27,419 bets
Sample
[-14.2,-9.9]
95% range
The verdict

It loses, and harder than backing the favourite: backing the second favourite in every race returned -11.97% to starting price across 27,419 real bets, so for every £100 staked you got about £88.03 back over the long run, a steeper leak than the favourite's -8.74%. The reason is simple. The second favourite isn't mispriced, it's just the next-shortest horse in the field, and the bookmaker bakes the same margin, the overround, into its price as into every other runner. You're not finding value, you're paying the house edge on a horse that wins barely more than one race in five, far less often than the favourite, so the extra few points of odds never come close to covering the run of losers. Picking a "sensible" runner doesn't remove the tax built into the odds, it just hides it.

Read the full experiment →
Top-rated horseHighest official rating−15.9p−£32−£138−£1,650
−15.9p
Return per £1
wins 19%
Strike rate
24,222 bets
Sample
[-18.6,-13.2]
95% range
The verdict

It loses heavily. Backing the highest officially-rated runner in every race returned -15.87% to starting price across 24,222 bets, so for every £100 you staked you got back about £84.13. The trouble is that the rating tells you who the handicapper thinks is best, and the whole betting public can read that same number off the racecard, so the horse is already short in the market and its price has swallowed all that quality. You are paying full whack for information that is free to everyone, and the bookmaker's built-in margin, the overround, takes its cut on top whether you back the best horse or the worst. On top of that the top-rated runner wins only about 19 in 100 of these races, nowhere near often enough to cover a long run of beaten favourites. Knowing who is good is not the same as getting paid for it.

Read the full experiment →
Lucky 15 on favourites15 bets off four favourites−17.5p−£35−£152−£1,816
−17.5p
Return per £1
Strike rate
analytic EV
Sample
95% range
The verdict

You are not covered, you are paying the bookmaker's margin fifteen times over. A Lucky 15 is fifteen bets in one (four singles, six doubles, four trebles and a four-fold), and every leg is a favourite, which on its own loses about 8.7p in the pound once you count the fallers and pulled-up horses as the losing bets they are. The singles already leak that margin, and the multiples are worse, because tying favourites together multiplies the house edge instead of adding it, and one beaten favourite kills every multiple it sits in. Stack all that up and the Lucky 15 on four favourites returns -17.46% to Starting Price, so for every £100 staked you get back about £82.54. One winner returning your stake feels like a save, but that is the bet quietly handing the bookie roughly £17 in every £100 over time. Backing favourites does not beat the margin, and folding them into fifteen bets just lets you pay it fifteen times.

Read the full experiment →
A random horsePin in the racecard−21.6p−£43−£187−£2,242
−21.6p
Return per £1
wins 13%
Strike rate
27,421 bets
Sample
[-22.5,-20.5]
95% range
The verdict

It does not give you the same shot, and the numbers say so plainly: a random runner returned -21.56% to starting price across 27,421 bets, so for every £100 staked you got back only about £78.44. That is about two and a half times as bad as backing the favourite, which loses about 8.74%, because a random pick wins just 13 times in every 100 races. The reason is two things working against you. First, every price on the card carries the bookies' built-in margin, the overround, so the odds always add up to more than 100% and the average runner is priced to lose. Second, a blind pick lands on a longshot far more often than the favourite, and longshots are the worst value of all (the favourite-longshot bias), so you pay the house edge and the bad-value tax at once. No homework means no edge, just a faster leak.

Read the full experiment →
Four-fold on favouritesFour favourites in an acca−30.6p−£61−£266−£3,187
−30.6p
Return per £1
Strike rate
analytic EV
Sample
95% range
The verdict

It loses, and heavily: four favourites in an accumulator comes out at -30.64% to Starting Price, so for every £100 staked you get back only about £69.36. Here is why. A favourite is no near-certainty, it wins barely a third of the time, and even backed on its own to SP it already loses 8.7p in the pound because the bookmaker's margin is baked into the price. When you multiply four of those prices together you multiply that margin four times over too, so the four-fold carries a far bigger built-in edge against you than any single leg. All four favourites must win or the whole slip is dead, and the run of days where just one gets turned over swamps the rare day they all land, which is exactly why the loss is this deep.

Read the full experiment →
Back the outsiderThe big price, every time−34.5p−£69−£300−£3,586
−34.5p
Return per £1
wins 3%
Strike rate
27,421 bets
Sample
[-41.2,-27.4]
95% range
The verdict

This is the worst single bet on the whole page. Backing the longest price in every race returned -34.48% to starting price across 27,421 bets, so for every £100 staked you got back about £65.52. The outsider is long for a reason: it wins just 3% of the time, far less often than even its big price suggests. Bookies pad those huge prices with extra margin, the favourite-longshot bias, so the rare winner never comes close to paying for the long, long run of losers in between, and over jumps a lot of these no-hopers fall or pull up and you lose those stakes too. The dream is real, the maths is brutal, and the maths wins.

Read the full experiment →
Four-fold on random horsesFour random horses in an acca−62.1p−£124−£540−£6,463
−62.1p
Return per £1
Strike rate
analytic EV
Sample
95% range
The verdict

It loses, and it is the worst slip on this whole page: over the sample it returned about -62.14% to SP, so for every £100 staked you got back roughly £37.86. Here is why. A single random horse already loses about 21.6p in the pound, because every price carries the bookie's margin and a blind pick has no judgement to offset it. Stack four of those legs together and you do not add that leak, you multiply it, four bets at a bit over three-quarters back compounds down to about £37.86 back, and all four horses must win or the whole thing dies. The rare big winner is real, but it is far rarer than the multiplied price makes it feel, which is exactly why the random four-fold is the bookmaker's favourite slip and the fastest way on this page to empty your pocket.

Read the full experiment →

What it costs you a week

The same £200 a week on each system, so the bars compare like for like. Every bar is below the line: this is the weekly cost of the habit, from a graze to a bloodbath.

Favourite over jumps£16Each-way the favourite£17Back the favourite£17Back the second favourite£24Top-rated horse£32Lucky 15 on favourites£35A random horse£43Four-fold on favourites£61Back the outsider£69Four-fold on random horses£124

And where that leaves you over time

A real punter staking £200 a week, balance running week by week. These are the single bets, the kind you can actually watch unfold. The lines wobble (a longshot lands, a favourite obliges) but they all drift the same way: down. Tap a name to show or hide its line.

−£5,000−£4,000−£3,000−£2,000−£1,000£0Dec '24Mar '25Jun '25Sep '25Dec '25Mar '26Jun '26balance
No hiding the bad ones. Every figure here counts the horses that fell or pulled up as the losing bets they are, the way your wallet would. That is why these numbers come out darker than the ones you usually see quoted, and why we would rather show you them than sell you a system.

The scientific bit

Each system's return is measured on 27,421 real British races to starting price. The horses that fell or pulled up are counted as the losing bets they are, not quietly dropped, and joint-favourite ties are split so no result can leak in. We caught both of those bugs in earlier versions of this very table, and fixing them is why not one of the 24 systems here finishes in front, not even the jumps favourite. We stake the same £200 a week on every one, so what you see is the system, not the stake. Everything is to SP with no commission, which if anything flatters every line, and the accumulators are a lottery: the figure shown is the long-run average, but in reality you lose the whole stake on the vast majority of days and the rare big win never recovers the rest.

Betting systems: the questions everyone asks

Straight answers, from the data, to the things people (and search engines) ask about these systems. Tap a question.

The basics

Do betting systems actually work?
No. We tested 24 common systems against 27,421 real British races, with fallers and pulled-up horses counted as the losing bets they are, and not one made a profit. The least-bad bet, odds-on favourites, still leaks about 4.6%, and most lose far more: backing the favourite is down 8.7%, a random horse 21.6%, a four-fold of favourites 30.6%. The bookmaker's built-in margin is in every price, and no fixed selection or staking rule removes it.
Can you beat the bookies long term?
Not with a system. Every one of the 24 systems we tested across 27,421 races lost money to starting price, and the least-bad of the lot, odds-on favourites, still leaks about 4.6%. The reason is the over-round, the margin baked into every price, which averages about 12% a race. We even built an AI model to find a fairer price and it was less accurate than the market itself (model Brier 0.1025 versus the market's 0.0927), which shows how hard the book is to beat.
What does it really mean that no system beats the bookmaker?
It means the loss is structural, not bad luck. The bookmaker prices every race so the runners' implied chances add up to more than 100%, so the average bet is a loser before the race is run, and no fixed rule strips that margin out. We confirmed it by testing all 24 systems on real results, counting fallers as losers, and by building a model that still could not out-price the market. The honest takeaway is to bet only for fun with money you can afford to lose, never as a way to make money.

The bookmaker edge

What is the over-round (the bookmaker's margin)?
The over-round is the bookmaker's built-in edge. Add up the implied chances of every runner from their prices and a fair book would total 100%, but a real book totals more, and that extra is the margin. Across our 27,421 races it averages about 12% per race, and it grows with field size: small fields are close to fair, while big handicaps of 16 or more runners carry around 30%. That margin is why the average bet loses before luck even comes into it.
How much does field size change the bookmaker's margin?
A lot. The over-round is close to fair in small fields, sits around 12% in mid-sized races, and climbs to roughly 30% in big fields of 16 or more runners. That is why large, competitive handicaps are the worst value on the card: more runners give the bookmaker more places to bury the margin. If value matters to you, small fields cost you the least, though they still cost you.
What is the favourite-longshot bias?
It is the long-standing pattern that short-priced horses are less bad value than long-priced ones, even though both lose on average. In our data the loss rate climbs steadily with the odds: odds-on favourites lose about 4.6%, while genuine outsiders are down about 34.5% and win just 2.6% of the time. Punters over-bet longshots chasing the big win, so bookmakers pad those prices the hardest. The bias means short prices are less bad value, not that any of them is good value.
Why do longshots lose more than favourites?
Because of the favourite-longshot bias. Punters are drawn to the big payout of a long price, so outsiders are over-bet relative to how often they actually win, which lets bookmakers pad those prices hardest. In our data backing the outsider loses about 34.5% and wins only 2.6% of the time, against about 4.6% lost on odds-on favourites. The longer the price, the more of the bookmaker's margin you quietly absorb.
Why does backing the favourite still lose if favourites win most often?
Because winning often is not the same as being priced fairly. Favourites do win the largest share of races, but their prices already build in the bookmaker's margin, so the payout when they win does not cover the times they lose. Spread across our 27,421 races that leaves backing the favourite about 8.7% down to starting price. Winning frequently protects you from big swings, but it cannot overcome a price set against you.

Specific bets

Is backing the favourite profitable?
No. Backing the favourite in every race loses about 8.7% of your stakes to starting price over the long run. Favourites win often, but the bookmaker's margin still grinds you down, and beaten favourites that fall or pull up cost you the whole stake. It is steadier than chasing big odds, but steady losing is still losing.
Is the second favourite a good bet?
No. Backing the second favourite loses about 12.0% to starting price over the long run, more than backing the favourite (8.7%). This follows from the favourite-longshot bias: as you step out to longer prices the value gets worse, not better. The idea that the second favourite is an overlooked sweet spot does not hold up in the data.
Is each-way betting better value?
No. Each-way betting is two bets in one, a win part and a place part, so it does not escape the bookmaker's margin, it just splits your stake across it. Each-way the favourite loses about 8.6% over the long run. The place part pays out more often, which softens the swings, but the standard place terms are set to keep the house edge intact. It manages variance, it does not turn a losing edge into a winning one.
Are accumulators (accas) worth it?
No, they are the worst value of all because they multiply the bookmaker's margin once for every leg. A four-fold of favourites loses about 30.6%, a Lucky 15 about 17.5%, and a four-fold of random horses about 62.1%, so well over half of every pound staked disappears. All the legs landing together is rare, which is exactly why the advertised payouts look so big. The size of the prize is a measure of how unlikely you are to collect.
Is the jumps favourite the one system that has made money?
No. Backing the favourite over jumps loses about 7.8%, but it is not the worst favourite bet, and it never made money. So many jumpers fall or pull up that you lose all those stakes, yet once everything is settled honestly the jumps favourite is actually one of the less-bad favourite bets: the favourite on the Flat (about 9.3%) and the favourite in handicaps (about 8.8%) are both worse. An earlier figure on this page overstated the jumps damage, because a settlement bug wrongly counted winnerless races as losses and made it look like the worst of the lot. We have corrected that. The fallers still cost you and it is still a clear loss, it is just not the steepest favourite bet.

Systems and tipsters

Do staking plans like the Martingale help?
No. Plans like the Martingale, where you double your stake after every loss to chase back what you lost, change the shape of your wins and losses but never the underlying edge. Every bet still carries the bookmaker's margin, so the long-run expectation stays negative. Worse, a normal losing run can balloon your stakes to amounts you cannot cover or that hit the bookmaker's maximum bet, turning a string of small losses into one big one.
Is following a tipster or model profitable?
Almost never once costs are included. A tipster or model can only profit by consistently finding horses priced longer than their true chance, and the market is very good at pricing, so that edge is rare and fragile. Our own AI model, trained on form, conditions, and weather, was less accurate than the market (a Brier score of about 0.1025 versus the market's 0.0927), and backed blind it lost about 11.4%, much like the favourite. Past results and confident write-ups are not evidence of a future edge.
Did your AI model find a way to win?
No. Backed blind in every race the model loses about 11.4%, much like backing the favourite. Its most-confident picks roughly break even, but that is on a small, jumps-heavy sample and sits within noise of zero, so it is not a profit. The model is actually less accurate than the market (Brier 0.1025 versus 0.0927), which is the clearest proof that the book is hard to beat: even a purpose-built model could not out-price it.

The bottom line

What is the safest way to bet?
There is no genuinely safe way to bet, because every bet carries the bookmaker's margin and the long-run expectation is negative. If you do bet, the least-bad value is short prices in small fields, where the over-round is lowest and the favourite-longshot bias hurts least, while accumulators and big-field longshots are the worst. The only truly safe choice is to treat any stake as money you are happy to lose for entertainment, and to set a fixed budget. Betting is not a way to make money.
So what should I take away from all this?
That the maths is settled and it is not in your favour. Across 27,421 real races not one of the 24 systems we tested made a profit, the least-bad still leaks about 4.6%, and the bookmaker's roughly 12% margin per race is the reason. No selection rule, staking plan, tipster, or AI removes it. Bet only for fun, with money you can afford to lose, and never as a plan to get ahead.