StableBet
StableBet
Professor Furlong and Pascal at the AI Lab
THE AI LAB
PASCAL'S PANEL · WEEK 17

Pascal's Panel - Week 17: Four-fold on favourites vs Favourite in Class 1 races

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 single favourite flutter came up short, so he is chasing a bigger win., so this week he is stacking favourites into an accumulator: Four-fold on favourites, Four favourites 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 Frank, one of our AI punter personas: the form purist, the sort who would back the top-rated runner, class does the work. 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 Class 1 races, The guest persona suggests exploring the favourite in Class One races..

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
−31.5p / £1
This week's pick Four-fold on favourites

“Each favourite wins more often than it loses, so stack four of them together and the returns balloon while the risk barely shifts. One tidy Saturday slip and a tenner becomes a proper payday.”

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 →
Frank
the form purist
−12.2p / £1
This week's pick Favourite in Class 1 races

“Class 1 is where the best horses run: the Group and Graded races, the best trainers, the best jockeys. The form is deep, the horses are exposed, and nobody is saving one for another day. If the favourite is ever a fair price, it is here at the top of the sport.”

Meet Frank

Frank does his homework, the official ratings, the form figures, the class of the race, and backs the horse the numbers say is best. He is usually right about which horse is best and still loses, because best is already in the price, and picking the winner is not the same as being paid enough for it.

Their tell: the top-rated runner, class does the work

See the full experiment →

Professor Furlong's verdict

Professor Furlong
On Pascal's pick It loses, and heavily: four favourites in an accumulator comes out at -31.52% to Starting Price, so for every £100 staked you get back only about £68.48. 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 9.0p 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.
Professor Furlong
On Frank's pick It loses. In Class 1 races the favourite returned -12.24% to Starting Price across 1,435 races, so £100 staked came back as about £87.76, set against -9.03% for the favourite in every race. It wins 35% of these races, so Pascal is right that the best horse usually turns up. The trouble is that everyone knows it. The top races draw the sharpest money and the closest coverage, so the favourite's price is cut right down before the bookmaker's margin goes on top. One caveat: 1,435 races is a small sample and the range [-18.0,-6.8] is wide, so hold the exact figure lightly. Nothing in it points to a profit.

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 · 30,516real 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−5.1p−£105,131wins 60%−£857
3Favourite in a small fieldThe systemsGuest: CarolAI persona, modelled−7.7p−£154,325wins 46%—
4Favourite in a big fieldThe systemsTested system−7.8p−£16688wins 24%—
5Favourite over jumpsThe systemsTested system−8.2p−£1610,701wins 37%−£2,315
6Festival favouritesThe systemsGuest: CarolAI persona, modelled−8.3p−£172,381wins 32%—
7Each-way the favouriteThe basicsGuest: EddieAI persona, modelled−8.7p−£1730,516places 62%—
8Favourite on soft groundThe systemsGuest: CarolAI persona, modelled−9.0p−£1811,316wins 35%—
9Back the favouriteThe basicsTested system−9.0p−£1830,516wins 35%−£1,963
10Favourite in handicapsThe systemsGuest: BarryAI persona, modelled−9.3p−£1920,407wins 30%—
11Favourite on the FlatThe systemsTested system−9.5p−£1919,815wins 34%—
12Follow the AIThe ProfessorGuest: RishiAI persona, modelled−11.4p−£236,601——
13Back the second favouriteThe basicsGuest: SandraAI persona, modelled−12.2p−£2430,514wins 21%−£3,351
14Top-rated horseThe basicsGuest: FrankAI persona, modelled−15.6p−£3127,082wins 19%−£4,015
15Top-rated in handicapsThe systemsGuest: FrankAI persona, modelled−16.1p−£3220,387wins 16%—
16Double on two favouritesThe multiplesPascal, the punter−17.2p−£34———
17Lucky 15 on favouritesThe multiplesPascal, the punter−18.0p−£36———
18A random horseThe basicsGuest: DawnAI persona, modelled−21.5p−£4330,516wins 13%−£6,801
19Back the lowest drawThe systemsGuest: StanAI persona, modelled−24.6p−£4919,791wins 12%—
20Back the old stagersThe systemsGuest: CarolAI persona, modelled−27.3p−£558,964wins 9%—
21Each-way an outsiderThe basicsGuest: EddieAI persona, modelled−30.8p−£6228,669wins 7%—
22Four-fold on favouritesThe multiplesPascal, the punter−31.5p−£63———
23Back the outsiderThe basicsGuest: LornaAI persona, modelled−36.0p−£7230,516wins 3%−£5,884
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 eyes a trainer in form for his next grand plan.. And another of the personas has floated The next guest ponders the impact of a jockey change., 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