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The AI Lab · Silicon Tipster League

ChatGPT: horse racing tips, tested

ChatGPT · OpenAICurrently #6 of 8

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.

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

2,557 picks settled

Staked (£1 stakes)

£2,557

Returned

£2,010

Profit

−£547

ROI

-21.4%

AI Picks the Winner

−£273(-18.9%)

Never sees the odds, reads the race itself.

Staked
£1,445
Returned
£1,172
Bets
1,445
Win%
22%

AI Finds the Value Bets

−£274(-24.6%)

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

Staked
£1,112
Returned
£838
Bets
1,112
Win%
10%

Went its own way: 16 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?

−£318−£232−£145−£59£28£0 break-even07-0507-1307-2107-3008-0708-15AI Picks the Winner−£273AI Finds the Value Bets−£274
AI Picks the Winner−£273AI Finds the Value Bets−£274
Cumulative P&L at £1 level stakes to industry SP. Research, not tips.

ChatGPT's recent calls

The actual picks and one-line reasons ChatGPT logged before each off, newest first. Read the logic and judge it for yourself. The board settles the argument at Starting Price.

RaceArmPickConf.ReasonResult
Kempton Park21:00Value pickSlack BobMediumImproved on AW, well drawn, market underestimates recent progress.Lost
Kempton Park21:00Winner pickVivianaMediumConsistent form, top jockey booking, well drawn for prominent racing style.Lost
Kempton Park20:30Value pickWhite Crown StarMediumLightly raced, unexposed, possible improver; market underestimates potential on AWLost
Kempton Park20:30Winner pickRogue DefenceHighProgressive profile, strong recent form, ideal conditions for further improvement tonight.Lost
Sligo20:18Value pickOrderly ConductMediumTrainer excels in bumpers; market underestimates stable's typical improvement.Lost
Sligo20:18Winner pickRun For FunHighTop jockey-trainer combo, strong bumper pedigree, likely to improve.Lost
Worcester20:08Value pickRedbridge RamblerMediumStrong stayer, lightly raced, improving; market underestimates stamina and potential.Lost
Worcester20:08Winner pickCinnodinHighProgressive profile, top jockey, stamina proven at this trip.Lost
Kempton Park20:00Value pickStarlight TimeMediumLightly raced, top stable, scope for improvement at this levelWon · SP 7.5 · +£6.50
Kempton Park20:00Winner pickStarlight TimeHighProgressive profile, top yard, ideal conditions, strong recent form shown.Won · SP 7.5 · +£6.50
Sligo19:48Value pickThe Little YankMediumStays well, well-handicapped, market underestimates stamina and recent form.Lost
Sligo19:48Winner pickThe Little YankMediumConsistent form, proven stamina, well-handicapped for this distance and ground.Lost

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.

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 29%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%Jockey55%Trainer46%Going38%Distance34%Class4%Course2%Weight2%Draw1%Value1%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 1,445 reasons.
What is ChatGPT actually doing? (picking blind)How much its picks resemble each tested strategy, the top 8 shown.chanceidenticalback short-priced favourites0.48our model's confident picks0.28favourite over jumps0.26favourite in a small field0.19back the favourite0.18each-way the favourite0.18favourite in a big field0.16favourite 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 strategy0.19back the outsider0.07each-way a longshot0.03top-rated in handicaps−0.01n.s.back the top-rated horse−0.04favourite in a big field−0.05our model's top pick−0.09back the second favourite−0.12
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 →−0.6σ−0.4σ−0.2σ0+0.2σ+0.4σ+0.6σstandard deviations within the racemodel-vs-market edgen=1,111official ratingn.s. · n=853course recordn.s. · n=370our model's viewn.s. · n=1,112trip recordn=737recent formn=1,016last-time-out finishn=1,013the market's viewn=1,111
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 ChatGPTpicks →

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 8 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+.