StableBet

The AI Lab · Silicon Tipster League

DeepSeek: horse racing tips, tested

DeepSeek · DeepSeekCurrently #8 of 9

DeepSeek is the lean outsider in our five-AI league, the one that made its name doing more with less. Here you can watch it read each racecard cold and commit to a single horse, in public, with nothing hidden.

Jump to today's picks ↓

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

DeepSeek's scorecard

5,567 picks settled

Staked (£1 stakes)

£5,567

Returned

£4,518

Profit

−£1,049

ROI

-18.8%

AI Picks the Winner

−£484(-16.4%)

Never sees the odds, reads the race itself.

Staked
£2,949
Returned
£2,465
Bets
2,949
Win%
21%

AI Finds the Value Bets

−£565(-21.6%)

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

Staked
£2,618
Returned
£2,053
Bets
2,618
Win%
15%

Went its own way: 37 races where DeepSeek was the lone dissenter while the rest of the field agreed on a different horse.

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

−£565−£423−£280−£138£5£0 break-even07-0507-2008-0708-2209-0609-21AI Picks the Winner−£484AI Finds the Value Bets−£565
AI Picks the Winner−£484AI Finds the Value Bets−£565
Cumulative P&L at £1 level stakes to industry SP. Research, not tips.

How DeepSeek's last calls went

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

Nothing settled yet. DeepSeek'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 pickAlfa WhiteburdMediumConsistent, well-drawn, trainer in form; market underestimatespending
Wolverhampton20:30Winner pickPowder MonkeyMediumTop yard, Loughnane booked, class dropper with strong AW form.pending
Kempton Park20:15Value pickChesneys CharmMediumSolid course form, market underrates chance versus top weightspending
Kempton Park20:15Winner pickSuper HitMediumConsistent course form, top yard, strong jockey booking.pending
Wolverhampton20:00Value pickCarawayMediumTop yard, class dropper, market underestimates Haggas runnerpending
Wolverhampton20:00Winner pickCarawayMediumTop yard, class dropper, suited by trip and surface.pending
Kempton Park19:45Value pickWho Is AliceMediumOverlooked stable, fair mark, market underrates each-way claimspending
Kempton Park19:45Winner pickMokataMediumTop yard, capable jockey, suited by class and trip.pending
Wolverhampton19:30Value pickEastern VeilMediumBalding yard, Probert booked, handicap mark workable, overpriced at 9.2%pending
Wolverhampton19:30Winner pickEastern VeilMediumBalding yard in form, Probert booked, suited by trip.pending
Kempton Park19:15Value pickKondratiev WaveMediumConsistent AW performer, trainer in form, overpriced at 14%.pending
Kempton Park19:15Winner pickVirtue PatienceMediumCourse form and top jockey booking, suited by trip.pending

How DeepSeek actually picks

Handed a racecard (runners, going, class, distance) DeepSeek has to turn that into one horse and one short line of reasoning, capped at roughly twelve words. What we will be watching is whether its efficient, no-frills style translates to the paddock: does a model that made its name by cutting to the essentials pick out the one factor that actually settles a race, or does the shorthand skate past the detail that horses live and die on? The reason strings are published alongside every call, so you can read exactly what it latched onto and judge for yourself whether the logic holds up once the stalls open.

Here is what the numbers say, updated live as the sample grows. Reading a race blind, with the prices hidden, DeepSeek 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 form, trainer and distance.

How DeepSeek explains itself (AI Picks the Winner)Form67%Trainer59%Distance25%Jockey24%Going20%Draw19%Class15%Course6%Value6%Weight0%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 2,949 reasons.
What is DeepSeek actually doing? (picking blind)How much its picks resemble each tested strategy, the top 8 shown.chanceidenticalback short-priced favourites0.41favourite over jumps0.22favourite in a big field0.19favourite in a small field0.17back the favourite0.16each-way the favourite0.16favourite on the Flat0.14favourite on soft ground0.12
kappa is a chance-corrected resemblance: 1 means identical selections, 0 means no more alike than chance. DeepSeek'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 “favourite in a big field” 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 DeepSeek actually doing? (shown the market)How much its picks resemble each tested strategy, the top 8 shown.chanceidenticalfavourite in a big field0.36our own value strategy0.16favourite on soft ground0.13favourite in handicaps0.08favourite on the Flat0.07back the favourite0.06each-way the favourite0.06favourite over jumps0.06
kappa is a chance-corrected resemblance: 1 means identical selections, 0 means no more alike than chance. DeepSeek's picks look most like favourite in a big field. A bar whose interval touches 0 (marked n.s.) is not distinguishable from chance.
What DeepSeek 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 raceour model's viewn=2,618the market's viewn=2,618last-time-out finishn=2,431recent formn=2,436official ratingn=2,049course recordn=954trip recordn=1,780model-vs-market edgen=2,618
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 DeepSeek picks →

About DeepSeek

DeepSeek is the AI built by the Chinese lab of the same name, and it arrived as the outsider that made the whole field sit up. Its calling card was cost-to-performance: matching the heavy hitters while spending a fraction of what the big Western labs pour into their models. That efficiency-first reputation is what put DeepSeek on the map almost overnight.

It is not the loudest name on the board and it does not need to be. The appeal is a model known for reasoning cleanly rather than throwing brute force at a problem. It reads the race, decides, and moves on. On a busy racecard, that stripped-back style is interesting to watch.

None of that reputation was built on horses, of course. A model that reasons efficiently about maths and code has never been asked to weigh a drop in trip against soft ground and a wide draw. That is exactly the gap the Lab exists to probe, and DeepSeek gets tested on the same racecards, under the same rules, as every rival.

AI Picks the Winner vs AI Finds the Value Bets

DeepSeek runs in both tests at once. In AI Picks the Winner it never sees a price and must read the race on its own terms; in AI Finds the Value Bets it also sees the market's implied chance for each runner (never the SP). For a model whose reputation is built on doing more with less, AI Picks the Winner is the truer test: it is DeepSeek working from the form alone, with nothing to lean on. AI Finds the Value Bets is the more revealing one to watch: a market-shaped favourite is the easy, well-trodden answer, and the interesting question is whether an efficient reasoner treats the odds as one more input to weigh or quietly lets the price do its thinking for it. Watching the two tests diverge is where you learn how much of the pick is really DeepSeek and how much is the crowd.

What to watch on DeepSeek's board

  • The Form-vs-Value split: does seeing the price sharpen DeepSeek's call, or just pull it toward the favourite everyone else backs?
  • Its reason strings: whether that lean, cut-to-the-essentials style names the one factor that decides the race
  • The races where DeepSeek went its own way, the lone dissenter while the other four AIs agreed on a different horse
  • How a from-scratch board fills in live, race by race, with every call logged before the off

The rest of the field

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

Questions about DeepSeek tips

Is DeepSeek good at horse racing tips?

We do not know yet, and that is the point of running it live. DeepSeek earned its reputation on reasoning and efficiency, not on reading a racecard, so the Silicon Tipster League is a real test rather than a showcase. Every pick is logged before the off and settled honestly at Starting Price, so the board shows what actually happened, not a highlight reel.

Can I make money following DeepSeek's picks?

No, please do not treat these as a way to make money. Naming a likely winner is not the same as being paid enough when it wins, and the bookmaker's margin is built to beat exactly this kind of selection. The Lab's wider finding across tens of thousands of races is that no method tested clears that margin. Treat DeepSeek's calls as research and entertainment, nothing more.

Why does DeepSeek make two picks per race?

It runs in both tests side by side. 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. Running both lets us see how much the market moves DeepSeek's thinking, and whether it improves the call or just nudges it toward the crowd's favourite.

Is this betting advice?

No. This is an experiment and a piece of entertainment, not tips to bet on. It is intended for over-18s, none of it is financial or betting advice, and if you do choose to bet, only ever stake what you can afford to lose. Please gamble responsibly.

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+.