StableBet
Professor Furlong and Pascal at the AI Lab
THE AI LAB
Pascal turns up with a new system every single week. So we test every one of them, properly, against the market. Come and see how his ideas have actually held up.
And one of them is going to land any day now. Any day, I'm telling you.
PASCAL'S PANEL Β· WEEK 3

Pascal's Panel - Week 3: Double on two favourites vs Top-rated horse

← All issuesΒ·The standings

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 Pascal finished underwater again, so he is reaching for the comfort of multiplying certainty, so this week he is stacking two short-priced favourites into a double accumulator: 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 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: Top-rated horse, the highest officially-rated horse in every race across the card.

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
βˆ’16.8p / Β£1
This week's pick Double on two favourites

β€œBoth 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 β†’
Frank
the form purist
βˆ’15.8p / Β£1
This week's pick Top-rated horse

β€œThe official rating is the handicapper's verdict on who is best, so the top-rated horse is simply the best horse in the race. Why overthink it? Back the one the experts rate highest in every race and let class do the work.”

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 β†’

Professor Furlong's verdict

Professor Furlong
On Pascal's pick It loses heavily, and the reason is the maths, not bad luck. Backing one favourite already loses about 8.8p 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 -16.81% to Starting Price, nearly double the leak of a single favourite. So for every Β£100 staked you get back about Β£83.19. The second leg does not rescue the first, it just gives the bookie a second cut.
Professor Furlong
On Frank's pick It loses heavily. Backing the highest officially-rated runner in every race returned -15.78% to starting price across 24,455 bets, so for every Β£100 you staked you got back about Β£84.22. 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.

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 Β· 26,839real races Β· none beat the bookmaker's margin. The best real return is βˆ’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 Β£1)SampleStrikeΒ£200/week β†’ today
1The AI's most-confident picksThe ProfessorTested systemβˆ’0.8p361β€”β€”
2Odds-on favourites onlyThe systemsGuest: BarryAI persona, modelledβˆ’4.8p4,593wins 60%βˆ’Β£861
3Favourite in a big fieldThe systemsTested systemβˆ’7.0p611wins 24%β€”
4Favourite in a small fieldThe systemsTested systemβˆ’7.7p3,807wins 46%β€”
5Favourite over jumpsThe systemsTested systemβˆ’7.8p10,216wins 37%βˆ’Β£2,167
6Favourite on soft groundThe systemsTested systemβˆ’8.8p10,672wins 35%β€”
7Festival favouritesThe systemsTested systemβˆ’8.8p2,135wins 32%β€”
8Back the favouriteThe basicsTested systemβˆ’8.8p27,676wins 35%βˆ’Β£1,992
9Favourite in handicapsThe systemsTested systemβˆ’8.9p18,557wins 30%β€”
10Favourite on the FlatThe systemsTested systemβˆ’9.4p17,460wins 33%β€”
11Follow the AIThe ProfessorTested systemβˆ’11.4p6,601β€”β€”
12Back the second favouriteThe basicsGuest: SandraAI persona, modelledβˆ’12.0p27,674wins 21%βˆ’Β£2,935
13Top-rated horseThe basicsGuest: FrankAI persona, modelledβˆ’15.8p24,455wins 19%βˆ’Β£3,957
14Top-rated in handicapsThe systemsTested systemβˆ’16.3p18,541wins 16%β€”
15Lucky 15 on favouritesThe multiplesPascal, the punterβˆ’17.6pβ€”β€”β€”
16A random horseThe basicsTested systemβˆ’21.5p27,676wins 13%βˆ’Β£5,208
17Back the lowest drawThe systemsTested systemβˆ’24.7p17,441wins 12%β€”
18Back the old stagersThe systemsTested systemβˆ’27.2p8,605wins 8%β€”
19Each-way an outsiderThe basicsTested systemβˆ’30.0p26,041wins 7%β€”
20Four-fold on favouritesThe multiplesPascal, the punterβˆ’30.8pβ€”β€”β€”
21Back the outsiderThe basicsTested systemβˆ’34.7p27,676wins 3%βˆ’Β£4,602
22Four-fold on random horsesThe multiplesTested systemβˆ’62.1pβ€”β€”β€”

24 systems tested Β· 26,839 real races Β· 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 β†’

What we're testing next week

Pascal will be Pascal next chases a different breed of mathematical rescue altogether. And another of the personas has floated next week a guest explores which race type favours top-rated runners most, 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.