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The AI Lab · Silicon Tipster League

ChatGPT: horse racing tips, tested

ChatGPT · OpenAICurrently #7 of 9

ChatGPT is the AI most people already talk to. In the Silicon Tipster League it reads a real racecard against four rivals, live and in public, so you can see how the household name actually reasons about a race.

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Research, not tips. Every pick logged before the off and settled at industry Starting Price, wins and losses alike. 18+ · please gamble responsibly.

ChatGPT's scorecard

5,798 picks settled

Staked (£1 stakes)

£5,798

Returned

£4,755

Profit

−£1,043

ROI

-18.0%

AI Picks the Winner

−£408(-13.3%)

Never sees the odds, reads the race itself.

Staked
£3,072
Returned
£2,664
Bets
3,072
Win%
23%

AI Finds the Value Bets

−£635(-23.3%)

Sees the market's implied chance, hunts the value it missed.

Staked
£2,726
Returned
£2,091
Bets
2,726
Win%
9%

Went its own way: 22 races where ChatGPT was the lone dissenter while the rest of the field agreed on a different horse.

ChatGPT's running profit: AI Picks the Winner vs AI Finds the Value Bets

One line per arm, £1 a bet, settled to Starting Price. The gap between them is the interesting bit: does seeing the market's view help ChatGPT, or just pull it onto the favourite?

−£635−£469−£304−£138£28£0 break-even07-0507-2108-0708-2309-0809-24AI Picks the Winner−£408AI Finds the Value Bets−£635
AI Picks the Winner−£408AI Finds the Value Bets−£635
Cumulative P&L at £1 level stakes to industry SP. Research, not tips.

How ChatGPT's last calls went

Settled picks, newest first, with the one-line reason ChatGPT logged before the off and what the race did with it. Wins and losses alike, scored at Starting Price.

Nothing settled yet. ChatGPT's calls appear here with their results once the races they were logged against have run.

Today's picks

Logged before the off and not yet settled. Published in advance so the record cannot be written after the result is known. Research, not tips.

RaceArmPickConf.ReasonResult
Wolverhampton20:30Value pickProud NationMediumImproving profile, unlucky last time, market underestimates progress on AW.pending
Wolverhampton20:30Winner pickGrow Old With MeMediumProgressive profile, strong yard, promising recent all-weather form shown.pending
Kempton Park20:15Value pickLucy The WireMediumImproved on AW, trip suits, market underestimates recent progress.pending
Kempton Park20:15Winner pickSuper HitMediumConsistent recent form, well drawn, jockey booking looks a positive move.pending
Wolverhampton20:00Value pickSun LordMediumUnexposed, bred for trip, trainer excels with similar types here.pending
Wolverhampton20:00Winner pickCarawayHighLightly raced, top connections, scope for improvement at this trip.pending
Kempton Park19:45Value pickCrecienteMediumConsistent at trip, well drawn, market underestimates recent form improvement.pending
Kempton Park19:45Winner pickPoetic GraceMediumConsistent form, Fallon booked, well drawn for prominent racing style.pending
Wolverhampton19:30Value pickPulsar StarMediumImproving profile, strong finish last time, market underestimates progression potential.pending
Wolverhampton19:30Winner pickDovecoteHighProgressive profile, top jockey, trainer in form, ideal trip.pending
Kempton Park19:15Value pickCamera ShyMediumDown in class, solid Kempton form, market underestimates improvement potential.pending
Kempton Park19:15Winner pickCamera ShyMediumConsistent form, strong jockey booking, well drawn for prominent racing style.pending

How ChatGPT actually picks

Handed the runners, going, class and distance with no form book bolted on, ChatGPT tends to do what it does everywhere else: reach for a confident, readable answer and back it with a neat one-line rationale. It is fluent about class drops, proven distances and course suitability, and it likes a story that hangs together. What we will be watching is whether that articulate, tidy reasoning translates into sharp selections, or whether the same instinct that makes it such a smooth conversationalist nudges it toward the obvious, comfortable name in the race. Because every pick is logged before the off and settled at SP, its polish gets marked on results, not on how convincing the sentence sounds.

Here is what the numbers say, updated live as the sample grows. Reading a race blind, with the prices hidden, ChatGPT backs the outright favourite 27%of the time, and its picks most resemble the “back short-priced favourites” approach (backs the favourite only when it is odds-on). Its stated reasons lean on form, jockey and trainer.

How ChatGPT explains itself (AI Picks the Winner)Form72%Jockey56%Trainer48%Going36%Distance35%Class4%Course2%Weight2%Draw1%Value0%0%50%100%
Share of this AI's short written reasons that mention each theme, longest first (a reason can touch several, so the shares do not add to 100). The three it leans on most are picked out in gold. This describes how it TALKS about its picks; it is not why it wins or loses. Based on 3,072 reasons.
What is ChatGPT actually doing? (picking blind)How much its picks resemble each tested strategy, the top 8 shown.chanceidenticalback short-priced favourites0.46favourite over jumps0.23our model's confident picks0.22favourite in a small field0.22favourite in a big field0.17back the favourite0.17each-way the favourite0.17favourite on the Flat0.16
kappa is a chance-corrected resemblance: 1 means identical selections, 0 means no more alike than chance. ChatGPT's picks look most like back short-priced favourites. A bar whose interval touches 0 (marked n.s.) is not distinguishable from chance.

Show it the market and it changes character: its value picks swing toward the “our own value strategy” approach, hunting the overlooked rather than the well-fancied. Any positive return here is over a young sample and is not yet a proven edge, research, not tips.

What is ChatGPT actually doing? (shown the market)How much its picks resemble each tested strategy, the top 8 shown.chanceidenticalour own value strategy0.14back the outsider0.05each-way a longshot0.02top-rated in handicaps−0.00n.s.back the top-rated horse−0.03favourite in a big field−0.06our model's top pick−0.08back the second favourite−0.11
kappa is a chance-corrected resemblance: 1 means identical selections, 0 means no more alike than chance. ChatGPT's picks look most like our own value strategy. A bar whose interval touches 0 (marked n.s.) is not distinguishable from chance.
What ChatGPT weighs (AI Finds the Value Bets)
← leans weaker0 = random pickleans stronger →−0.5σ−0.4σ−0.3σ−0.2σ−0.1σ0+0.1σ+0.2σ+0.3σ+0.4σ+0.5σstandard deviations within the racemodel-vs-market edgen=2,726official ratingn.s. · n=2,102our model's viewn=2,726course recordn.s. · n=949trip recordn=1,823recent formn=2,501last-time-out finishn=2,495the market's viewn=2,726
Each bar is how far this AI's picks sit from a random runner on that measure, in standard deviations, within the race; a bar whose interval crosses zero is not distinguishable from chance. Some measures only cover part of the card (n), and bars marked n.s. lean no clearer than a coin toss.

See how all five AIs rank → · Read the full write-up on how ChatGPT picks →

About ChatGPT

ChatGPT is made by OpenAI, and it is the model that put the phrase 'ask the AI' into everyday speech. When someone with no interest in the technology types a racecard into a chatbot, this is almost always the one they use. Its reach is enormous: for a huge swathe of people, ChatGPT simply is artificial intelligence, the default front door to the whole field.

That mainstream status is exactly why it earns a seat in the league. ChatGPT is built to be broad and approachable rather than specialised: it holds a fluent, general-purpose conversation about almost anything, explains its thinking in plain terms, and rarely leaves you staring at a blank reply. In our experiment it runs on GPT-4.1, an OpenAI model in the family that made the assistant famous.

Reputationally it is the all-rounder and the crowd-pleaser. It is confident, articulate and quick to give you a clean answer with a tidy reason attached. The open question we get to watch here is whether that smooth, popular generalist reads a horse race any better than the specialists lined up beside it, when a real starting price is the only judge that counts.

AI Picks the Winner vs AI Finds the Value Bets

ChatGPT is the model most likely to be swayed by a shown price, precisely because it is trained to be agreeable and to give people the answer that feels right. In AI Picks the Winner it has to commit to reading the race on its own merits. In AI Finds the Value Bets, once it can see the market, the interesting risk is that it quietly defers to the favourite and drifts toward the consensus the other AIs have already reached, rather than holding an independent line. Watching the two tests side by side is the real test of whether the crowd's favourite chatbot has a view of its own, or just an excellent way of agreeing with the board.

What to watch on ChatGPT's board

  • Whether its winner picks look meaningfully different from its value picks, or whether seeing the price just pulls it toward the favourite
  • The reason strings: ChatGPT usually writes a clean, plausible one-liner, so notice when the logic is really sharp versus merely tidy
  • The races where it went its own way as the lone dissenter, and whether that independence was brave or just wrong
  • How the most mainstream AI holds up on results against the specialists once real starting prices settle the argument

The rest of the field

ChatGPT is one of 9 on the board. See how the others are reading the same races:

Questions about ChatGPT tips

Is ChatGPT good at horse racing tips?

That is exactly what the Silicon Tipster League is set up to answer honestly. ChatGPT can read a racecard and name a horse with a confident reason, but naming a plausible winner is not the same as beating the bookmaker once you settle at the starting price. Treat its picks as research and entertainment, and watch the live board rather than trusting the polish of the answer.

Can I make money following ChatGPT's horse racing picks?

No, and you should not bet expecting to. The betting market is a formidably efficient forecaster, and across tens of thousands of races no selection method we have tested beats the bookmaker's built-in margin. ChatGPT's picks here are a public experiment, not a betting signal or a way to profit. Anything you stake is for entertainment only, 18+, and never advice.

Which model does ChatGPT use in the league?

In our experiment ChatGPT runs on GPT-4.1 from OpenAI. Every AI in the league is handed the same racecard information, picks one horse to win with a short reason, and is logged before the off, so the comparison between the five is like for like.

What is the difference between ChatGPT's winner picks and value picks?

In AI Picks the Winner, ChatGPT never sees the odds and has to read the race itself from the runners, going, class and distance. In AI Finds the Value Bets it also sees the market's implied chance for each runner, though never the Starting Price it is settled at. Running both lets us watch whether seeing the market's view sharpens ChatGPT's judgement or simply tempts it to follow the favourite.

This page sits inside the AI Lab, where we test whether any betting system makes money (across 26,000+ races, none of them do), and ask the bigger question in does following an AI tipster work?

Gamble responsibly.This page is research and entertainment, not betting advice. No AI here beats the bookmaker's margin, and nothing on it is a signal to stake. Betting should never be a way to make money. If it is affecting you or someone you know, free and confidential support is at BeGambleAware.org. 18+.