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Professor Furlong and Pascal at the AI Lab
THE AI LAB
PASCAL'S PANEL · WEEK 1

Pascal's Panel - Week 1: Four-fold on favourites vs Back the second favourite

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 watched a short-priced favourite come up short and reckoned the fix was to back four at once, so this week he is stacking four favourites into one 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 Sandra, one of our AI punter personas: the contrarian value-hunter, the sort who would back the second favourite, one off the jolly for the value. The persona is modelled, not a real reader (more on that just below), but the strategy it suggests is a genuine, testable one: Back the second favourite, back the second favourite every race, on the theory that everyone overbets the jolly so the value sits one place out.

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
−31.7p / £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 →
Sandra
the contrarian value-hunter
−12.1p / £1
This week's pick Back the second favourite

“Everyone piles onto the favourite, so its price gets too short to be worth it. The second favourite is nearly as likely to win but pays a bit more, so I'm getting the same kind of horse at a fairer price. Smart, no?”

Meet Sandra

Sandra reckons everyone piles onto the favourite, so the value must sit one place out, on the second favourite. It is a genuinely clever thought. It just is not true: the second favourite carries the same margin, and stepping out in price makes the value worse, not better.

Their tell: the second favourite, one off the jolly for the value

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 -31.73% to Starting Price, so for every £100 staked you get back only about £68.27. 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 9.1p 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 Sandra's pick It loses, and harder than backing the favourite: backing the second favourite in every race returned -12.05% to starting price across 30,080 real bets, so for every £100 staked you got about £87.95 back over the long run, a steeper leak than the favourite's -9.10%. 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.

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.

24 systems tested · 30,082real 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−5.4p−£115,049wins 60%−£1,039
3Favourite in a big fieldThe systemsTested system−7.5p−£15673wins 24%—
4Favourite in a small fieldThe systemsGuest: CarolAI persona, modelled−7.7p−£154,256wins 46%—
5Favourite over jumpsThe systemsTested system−8.1p−£1610,549wins 37%−£2,220
6Festival favouritesThe systemsGuest: CarolAI persona, modelled−8.3p−£172,351wins 32%—
7Each-way the favouriteThe basicsGuest: EddieAI persona, modelled−8.8p−£1830,082places 62%—
8Back the favouriteThe basicsTested system−9.1p−£1830,082wins 35%−£1,915
9Favourite on soft groundThe systemsGuest: CarolAI persona, modelled−9.1p−£1811,151wins 35%—
10Favourite in handicapsThe systemsTested system−9.3p−£1920,132wins 30%—
11Favourite on the FlatThe systemsTested system−9.6p−£1919,533wins 34%—
12Follow the AIThe ProfessorGuest: RishiAI persona, modelled−11.4p−£236,601——
13Back the second favouriteThe basicsGuest: SandraAI persona, modelled−12.1p−£2430,080wins 21%−£3,223
14Top-rated horseThe basicsGuest: FrankAI persona, modelled−15.4p−£3126,684wins 19%−£3,703
15Top-rated in handicapsThe systemsGuest: FrankAI persona, modelled−15.9p−£3220,113wins 16%—
16Double on two favouritesThe multiplesPascal, the punter−17.4p−£35———
17Lucky 15 on favouritesThe multiplesPascal, the punter−18.1p−£36———
18A random horseThe basicsGuest: DawnAI persona, modelled−21.4p−£4330,082wins 13%−£5,918
19Back the lowest drawThe systemsGuest: StanAI persona, modelled−25.2p−£5019,509wins 12%—
20Back the old stagersThe systemsGuest: CarolAI persona, modelled−27.0p−£548,903wins 9%—
21Each-way an outsiderThe basicsGuest: EddieAI persona, modelled−30.3p−£6128,276wins 7%—
22Four-fold on favouritesThe multiplesPascal, the punter−31.7p−£63———
23Back the outsiderThe basicsGuest: LornaAI persona, modelled−35.3p−£7130,082wins 3%−£6,084
24Four-fold on random horsesThe multiplesPascal, the punter−61.9p−£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 back with another idea he is sure cracks it, and the Professor will test it the same way. And another of the personas has floated an each-way-the-outsider idea from one of the other personas, 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.

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