Skip to content
StableBet
Professor Furlong and Pascal at the AI Lab
THE AI LAB
PASCAL'S PANEL · WEEK 16

Pascal's Panel - Week 16: Four-fold on random horses vs Favourite in handicaps

This week on the Panel

Welcome to the Panel, where every betting idea gets a proper test. Two strategies in front of the Professor this week, both run over real races with the method laid bare, so you can see for yourself how each one holds up.

First, Pascal, the eternal optimist. He His search for a big winner continues after last week's near miss., so this week he is chasing again with a random four-fold: Four-fold on random horses, Four random horses in an accumulator. He is certain he has cracked it. He usually is, and that is exactly why his ideas are worth testing.

Second, a new idea. It comes from Barry, one of our AI punter personas: the favourite-chaser, the sort who would back the shortest price on the card, every race. The persona is modelled, not a real reader (more on that just below), but the strategy it suggests is a genuine, testable one: Favourite in handicaps, The guest persona proposes following the market by backing the favourite in handicaps..

The Professor tested both the only way that counts: against 26,839 real British races, flat stakes to Starting Price, with the fallers and pulled-up horses counted honestly as losses. Here is how each one actually performs.

Pascal
Pascal
the eternal optimist
−62.0p / £1
This week's pick Four-fold on random horses

“Stick four together and the odds multiply, so a tenner turns into a life-changer. One slip, one big day, and I never have to back singles again. The little stake is nothing and the payout is everything.”

Meet Pascal

Pascal is the Lab's resident optimist and Professor Furlong's foil, certain every single week that he has finally cracked it. He turns up with a fresh angle, usually an accumulator or a way to chase last week's loss back, pitches it with total confidence, and watches the Professor test it properly on real races. He never wins and never learns, and he is the warmest reason to keep coming back.

See the full experiment →
Barry
the favourite-chaser
−9.3p / £1
This week's pick Favourite in handicaps

“The handicapper has done my homework for me. If the market makes one horse the favourite in a competitive handicap, the smart money clearly knows something, so I'll just follow it and let the favourite bank me a steady profit.”

Meet Barry

Barry backs the shortest price on the card and cannot see why anyone does otherwise. Favourites win more races than anything else, so to Barry the maths is settled. He is half right, which is exactly why he never quite gets ahead: they win most, but they never pay enough to cover the ones that lose.

Their tell: the shortest price on the card, every race

See the full experiment →

Professor Furlong's verdict

Professor Furlong
On Pascal's pick It loses, and it is the worst slip on this whole page: over the sample it returned about -61.95% to SP, so for every £100 staked you got back roughly £38.05. Here is why. A single random horse already loses about 21.5p 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 £38.05 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.
Professor Furlong
On Barry's pick It loses, and not by a little. Backing the favourite in handicaps returns about -9.26% to Starting Price across 20,260 bets, so for every £100 staked you get back roughly £90.74. The reason is the design of the race, not your picking. A handicap is built by the official handicapper to drag every runner towards the same chance, so the field is tight and the favourite, which wins about 30% of the time here, is weaker than its short price suggests. On top of that you pay the bookmaker's built-in margin, the overround, on every single bet, and a leak above 8p in the pound empties a betting bank fast. The market being clever does not save you, because that cleverness is already baked into the price you take.

The standings

Both of this week's strategies sit on the leaderboard already. Here is where everything we have tested stands right now, ranked by real-world return, the least-negative at the top. Every system is a net loss, so the top row is the best real performer, not a winner.

29 systems tested · 30,293real races · none beat the bookmaker's margin. The best real return is −0.8pin the pound, so even the strongest system is a net loss. The bookmaker's margin is the reason.

#StrategyWho proposed itReal return (per £1)£/weekSampleStrike£200/week → today
1The AI's most-confident picksThe ProfessorGuest: RishiAI persona, modelled−0.8p−£2361——
2Odds-on favourites onlyThe systemsGuest: BarryAI persona, modelled−5.3p−£115,090wins 60%−£986
3Favourite in a small fieldThe systemsGuest: CarolAI persona, modelled−7.7p−£154,290wins 46%—
4Favourite in a big fieldThe systemsTested system−7.8p−£16683wins 24%—
5Favourite over jumpsThe systemsTested system−8.1p−£1610,617wins 37%−£2,246
6Festival favouritesThe systemsGuest: CarolAI persona, modelled−8.2p−£162,372wins 32%—
7Each-way the favouriteThe basicsGuest: EddieAI persona, modelled−8.7p−£1730,293places 62%—
8Back the favouriteThe basicsTested system−9.1p−£1830,293wins 35%−£1,934
9Favourite on soft groundThe systemsGuest: CarolAI persona, modelled−9.1p−£1811,212wins 35%—
10Favourite in handicapsThe systemsGuest: BarryAI persona, modelled−9.3p−£1920,260wins 30%—
11Favourite on the FlatThe systemsTested system−9.6p−£1919,676wins 34%—
12Follow the AIThe ProfessorGuest: RishiAI persona, modelled−11.4p−£236,601——
13Back the second favouriteThe basicsGuest: SandraAI persona, modelled−12.2p−£2430,291wins 21%−£3,208
14Top-rated horseThe basicsGuest: FrankAI persona, modelled−15.4p−£3126,873wins 19%−£3,753
15Top-rated in handicapsThe systemsGuest: FrankAI persona, modelled−16.0p−£3220,240wins 16%—
16Double on two favouritesThe multiplesPascal, the punter−17.3p−£35———
17Lucky 15 on favouritesThe multiplesPascal, the punter−18.0p−£36———
18A random horseThe basicsGuest: DawnAI persona, modelled−21.5p−£4330,293wins 13%−£5,999
19Back the lowest drawThe systemsGuest: StanAI persona, modelled−24.8p−£5019,652wins 12%—
20Back the old stagersThe systemsGuest: CarolAI persona, modelled−27.2p−£548,927wins 9%—
21Each-way an outsiderThe basicsGuest: EddieAI persona, modelled−30.5p−£6128,468wins 7%—
22Four-fold on favouritesThe multiplesPascal, the punter−31.6p−£63———
23Back the outsiderThe basicsGuest: LornaAI persona, modelled−35.7p−£7130,293wins 3%−£6,294
24Four-fold on random horsesThe multiplesPascal, the punter−62.0p−£124———

24 systems tested · 26,839 real races · none beat the bookmaker's margin. The best real return is -4p in the pound. The bookmaker's margin, the over-round, the slice baked into every price so the odds add up to more than 100%, sits in all of them, and no selection rule we have tested clears it. That is the genuinely useful part: the leaderboard shows exactly where the edge goes.

See the full Betting Systems Leaderboard →

What we're testing next week

Pascal will be Pascal will surely be seeking a new angle for next week's panel.. And another of the personas has floated Next week's guest considers a different approach to race selection., and we will run it the same way, against real races, with the method shown and the real result reported.

If you take one thing from the Panel, take this: picking a likely winner is the easy part. Getting paid more than the true risk is the hard part, and the over-round is what stands in the way. That is the insight every row on the leaderboard is really measuring. Bet for fun, with money you can afford to lose, and read our track record for whether anyone, us included, holds a real edge at all.

More Pascal's Panel issues