Pascal's Panel #19: Double on two favourites

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 lost, so he is trying to boost the return this time., so this week he is doubling up on two short-priced horses: Double on two favourites, Two favourites in a win double. 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 Liam, one of our AI punter personas: the stable loyalist, the sort who would back the yard and the jockey he follows through thick and thin. 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 novice and maiden races, The guest persona suggests following the market's strong opinion in races for inexperienced horses..

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

the eternal optimist

−17.2p / £1

This week's pick Double on two favourites

“Both are favourites, so both should win, and stacking the two prices turns a couple of short returns into one tidy payout. If they're good enough to be jollies on their own, what's the harm in tying them together?”

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 →

Liam

the stable loyalist

−6.8p / £1

This week's pick Favourite in novice and maiden races

“In a novice or maiden race most of the field has never won and some have barely run. Nobody outside the yard knows much, so when one horse is all the money the stable must know something. Follow the confidence.”

Meet Liam

Liam follows his yard and his jockey through thick and thin, because loyalty and a bit of inside feel must count for something. Sometimes they run a winner and it feels like being repaid for the faith. But the stable's good days are in the price too, and the quiet loyalty tax is all the days they are not.

Their tell: the yard and the jockey he follows through thick and thin

See the full experiment →

Professor Furlong's verdict

On Pascal's pick It loses heavily, and the reason is the maths, not bad luck. Backing one favourite already loses about 9.0p in every pound, because the bookmaker's margin is baked into the price. Tie two together and you do not cancel that out, you stack it: each leg drags its own losing edge, the favourite only wins about a third of its races, and both have to land or the whole slip dies. Multiply two shaded prices and you multiply the house edge with them, which is why the double comes in at roughly -17.17% to Starting Price, nearly double the leak of a single favourite. So for every £100 staked you get back about £82.83. The second leg does not rescue the first, it just gives the bookie a second cut.

On Liam's pick It is one of the gentler leaks on the board, and it is still a leak. In novice and maiden races the favourite returned -6.75% to Starting Price over 7,979 races, about £93.25 back for every £100, and it won 46% of them, a high strike rate for a favourite. Pascal is right that these races are often uneven, one well-bred or well-touted horse against a field of beginners. The market can see that as well as he can, so the favourite goes off short and the bookmaker's margin is charged on top. The stable's confidence is in the price before you get to it, so a higher strike rate buys smaller returns, not 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 · 30,904 real races · none beat the bookmaker's margin. The best real return is −0.8p in the pound, so even the strongest system is a net loss. The bookmaker's margin is the reason.

#	Strategy	Who proposed it	Real return (per £1)	£/week	Sample	Strike	£200/week → today
1	The AI's most-confident picksThe Professor	Guest: RishiAI persona, modelled	−0.8p	−£2	361	—	—
2	Odds-on favourites onlyThe systems	Guest: BarryAI persona, modelled	−5.3p	−£11	5,202	wins 60%	−£922
3	Favourite in a big fieldThe systems	Guest: BarryAI persona, modelled	−7.5p	−£15	694	wins 24%	—
4	Favourite in a small fieldThe systems	Guest: CarolAI persona, modelled	−7.7p	−£15	4,378	wins 46%	—
5	Favourite over jumpsThe systems	Tested system	−7.9p	−£16	10,861	wins 37%	−£2,224
6	Festival favouritesThe systems	Guest: CarolAI persona, modelled	−8.0p	−£16	2,402	wins 32%	—
7	Each-way the favouriteThe basics	Guest: EddieAI persona, modelled	−8.7p	−£17	30,904	places 62%	—
8	Favourite on soft groundThe systems	Guest: CarolAI persona, modelled	−8.7p	−£17	11,515	wins 35%	—
9	Back the favouriteThe basics	Tested system	−9.0p	−£18	30,904	wins 35%	−£1,852
10	Favourite in handicapsThe systems	Guest: BarryAI persona, modelled	−9.2p	−£18	20,651	wins 31%	—
11	Favourite on the FlatThe systems	Tested system	−9.6p	−£19	20,043	wins 34%	—
12	Follow the AIThe Professor	Guest: RishiAI persona, modelled	−11.4p	−£23	6,601	—	—
13	Back the second favouriteThe basics	Guest: SandraAI persona, modelled	−12.1p	−£24	30,902	wins 21%	−£3,439
14	Top-rated horseThe basics	Guest: FrankAI persona, modelled	−15.5p	−£31	27,420	wins 19%	−£4,046
15	Top-rated in handicapsThe systems	Guest: FrankAI persona, modelled	−16.1p	−£32	20,631	wins 16%	—
16	Double on two favouritesThe multiples	Pascal, the punter	−17.2p	−£34	—	—	—
17	Lucky 15 on favouritesThe multiples	Pascal, the punter	−17.9p	−£36	—	—	—
18	A random horseThe basics	Guest: DawnAI persona, modelled	−21.4p	−£43	30,904	wins 13%	−£7,020
19	Back the lowest drawThe systems	Guest: StanAI persona, modelled	−24.8p	−£50	20,019	wins 12%	—
20	Back the old stagersThe systems	Guest: CarolAI persona, modelled	−27.7p	−£55	9,050	wins 8%	—
21	Each-way an outsiderThe basics	Guest: EddieAI persona, modelled	−30.7p	−£61	29,033	wins 7%	—
22	Four-fold on favouritesThe multiples	Pascal, the punter	−31.4p	−£63	—	—	—
23	Back the outsiderThe basics	Guest: LornaAI persona, modelled	−35.8p	−£72	30,904	wins 3%	−£6,249
24	Four-fold on random horsesThe multiples	Pascal, 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 Pascal will surely be back with another attempt to outwit the odds.. And another of the personas has floated Next week's guest considers horses running after a long break., 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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