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The AI Lab · Silicon Tipster League

Claude: horse racing tips, tested

Claude · AnthropicCurrently #6 of 9

Claude is Anthropic's AI, and in our Silicon Tipster League it reads each racecard cold and commits to a single horse. It is the careful one: measured, well-structured, more inclined to reason a pick out than to shout it. This page follows its calls, live and in public.

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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.

Claude's scorecard

5,696 picks settled

Staked (£1 stakes)

£5,696

Returned

£4,782

Profit

−£914

ROI

-16.1%

AI Picks the Winner

−£270(-8.9%)

Never sees the odds, reads the race itself.

Staked
£3,021
Returned
£2,751
Bets
3,021
Win%
22%

AI Finds the Value Bets

−£644(-24.1%)

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

Staked
£2,675
Returned
£2,031
Bets
2,675
Win%
9%

Went its own way: 61 races where Claude was the lone dissenter while the rest of the field agreed on a different horse.

Claude'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 Claude, or just pull it onto the favourite?

−£644−£475−£306−£137£33£0 break-even07-0507-2308-0708-2209-0609-21AI Picks the Winner−£270AI Finds the Value Bets−£644
AI Picks the Winner−£270AI Finds the Value Bets−£644
Cumulative P&L at £1 level stakes to industry SP. Research, not tips.

How Claude's last calls went

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

Nothing settled yet. Claude'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 pickQueue DosLowOverlooked outsider, capable connections, price overstates poor chancepending
Wolverhampton20:30Winner pickPowder MonkeyMediumStrong yard, capable jockey, consistent form points to victorypending
Kempton Park20:15Value pickDodging The BulletLowTrip and class drop suit, undervalued by market oddspending
Kempton Park20:15Winner pickSuper HitMediumStrong yard, capable jockey, likely favourite in weak handicappending
Wolverhampton20:00Value pickTinselLowCapable handicapper overlooked at longer odds, soft class racepending
Wolverhampton20:00Winner pickCarawayMediumStrong yard, Haggas form, class edge over rivals herepending
Kempton Park19:45Value pickCrecienteLowEgan booking suggests confidence, undervalued against short-priced favouritepending
Kempton Park19:45Winner pickMokataN/aStrong yard, capable jockey, likely value in competitive handicappending
Wolverhampton19:30Value pickPulsar StarLowFaulkner yard in form, overlooked at bigger oddspending
Wolverhampton19:30Winner pickEastern VeilMediumBalding yard form, strong jockey booking, good overall profilepending
Kempton Park19:15Value pickAjradLowLightly raced, improving type overlooked in competitive handicap fieldpending
Kempton Park19:15Winner pickCamera ShyMediumDods-trained, sharp jockey booking, solid recent form expectedpending

How Claude actually picks

Handed the runners, going, class and distance, Claude tends to build its pick like an argument: sift the form, note where the evidence points, and land on the horse it can most defensibly justify in one line. We expect it to lean toward the coherent, well-supported case rather than the wild outsider, and to be honest in its short reason when a race is a real muddle. What we are watching is whether that measured, reason-it-out style holds its nerve in the races that punish over-thinking, the deep handicaps and the falling-ground jumps contests where the neat argument and the actual winner part company. We are not claiming it reads them better than the market. We are watching how a careful mind copes when careful is not enough.

Here is what the numbers say, updated live as the sample grows. Reading a race blind, with the prices hidden, Claude backs the outright favourite 26%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 trainer, form and jockey.

How Claude explains itself (AI Picks the Winner)Trainer69%Form52%Jockey47%Distance24%Class16%Value14%Going4%Course1%Weight1%Draw1%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 3,021 reasons.
What is Claude actually doing? (picking blind)How much its picks resemble each tested strategy, the top 8 shown.chanceidenticalback short-priced favourites0.39favourite over jumps0.22favourite in a big field0.19favourite in a small field0.17our model's confident picks0.16back the favourite0.16each-way the favourite0.16favourite on the Flat0.14
kappa is a chance-corrected resemblance: 1 means identical selections, 0 means no more alike than chance. Claude'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 Claude actually doing? (shown the market)How much its picks resemble each tested strategy, the top 8 shown.chanceidenticalour own value strategy0.06back the outsider0.05each-way a longshot0.02top-rated in handicaps−0.02back the top-rated horse−0.04favourite in a big field−0.06back the second favourite−0.11our model's top pick−0.12
kappa is a chance-corrected resemblance: 1 means identical selections, 0 means no more alike than chance. Claude's picks look most like our own value strategy. A bar whose interval touches 0 (marked n.s.) is not distinguishable from chance.
What Claude 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=2,675official ratingn=2,080course recordn=919trip recordn=1,777recent formn=2,470last-time-out finishn=2,464our model's viewn=2,675the market's viewn=2,675
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 Claude picks →

About Claude

Claude is built by Anthropic, an AI research company that has made safety and careful reasoning its whole identity. Where other labs chase raw flash, Anthropic trains Claude with a published set of principles it calls a constitution, teaching the model why to reason a certain way rather than just handing it rules. The result is a model with a reputation for being measured, transparent about its own uncertainty, and unusually well-structured in how it lays out a case.

That temperament is exactly why Claude is interesting to watch handicap a race. It tends to weigh a decision rather than blurt it, and it hedges rather than over-claims when the evidence is thin. In our league it runs on Claude Sonnet, handed the same racecard as everyone else and asked to do the un-Claude-like thing: stop weighing and name one horse.

None of that careful reasoning is a betting edge, and we are not pretending it is. It is a character. The point of putting it on the board is to see what a famously deliberate model actually does when the going gets soft, the field is big, and there is no clean answer at all in the form.

AI Picks the Winner vs AI Finds the Value Bets

Claude is the model where the winner-versus-value split should be most revealing. In AI Picks the Winner, it has to trust its own read of the race, and a deliberate, well-reasoned model like this is precisely the kind you want to see argue a pick from the form alone. In AI Finds the Value Bets, it also sees the market's implied chance per runner, and the honest worry is that a careful reasoner treats a strong market favourite as strong evidence and quietly talks itself onto the crowd's horse. Our hunch: Claude's instinct to justify every call could cut either way. It might use the price as one input among many and stay independent, or it might find the favourite too reasonable to argue against. The board will show which.

What to watch on Claude's board

  • Its one-line reasons: Claude tends to write a real, structured rationale, so read whether the logic holds up or gently hedges when the race is a muddle
  • AI Picks the Winner versus AI Finds the Value Bets: does seeing the market's view pull its careful reasoning onto the favourite, or does it stay its own way?
  • The races it went its own way, standing as the lone dissenter while the other four AIs agreed, and whether its argument for it was sound
  • How it handles the truly un-analysable races, the huge handicaps and soft-ground jumps events where the tidy case and the winner diverge

The rest of the field

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

Questions about Claude tips

Is Claude good at horse racing tips?

Claude is Anthropic's AI, known for careful, well-structured reasoning, and in our league it gives a real, thought-through pick for each race. But naming a plausible horse is not the same as beating the bookmaker's margin. Treat its calls as an interesting look at how a measured model reasons, research and entertainment, not a betting signal.

Can I make money following Claude's picks?

No, and we would never suggest you could. Across more than 26,000 races in our wider Lab, no selection method we have tested beats the bookmaker's built-in margin over a real sample, and we expect the same of every AI here, Claude included. This is a public experiment to watch honestly, not tips to bet on. Betting is entertainment for over-18s and never advice.

How does Claude make its selections?

For every UK and Irish race, Claude is handed the racecard, the runners, going, class and distance, and asked to pick one horse to win with a one-line reason. In AI Picks the Winner it never sees the odds and must read the race itself; in AI Finds the Value Bets it also sees the market's implied chance for each runner, though never the SP. Every pick is logged before the off and settled at Starting Price at level stakes.

Why is Claude's board empty or thin right now?

Because the Silicon Tipster League started from scratch, live and in public, and Claude's record fills in one real race at a time. A sparse board is the honest version of this experiment, not a fault. Come back as the sample grows and you can read its actual picks and reasons rather than a marketing claim.

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+.