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Every prop firm pass rate you have read came from someone selling something

Look up how many traders pass prop firm evaluations and you will find numbers between 2% and 52%. They cannot all be right. The reason they disagree is not that the data is noisy — it is that almost nobody publishing it is disinterested, and almost none of them are counting the same thing.

The numbers in circulation

The figures most often quoted, drawn from aggregations of firm-reported data, run roughly like this:

• About 14% of people who start an evaluation reach funded status.
• About 7% ever actually receive a payout.
• One-step challenges complete at around 20%, two-step at around 12%.
• Individual futures firms report anywhere from 8.9% to 51.8%.

That last line should stop you. An almost six-fold spread between firms in the same industry, supposedly measuring the same thing, is not a measurement. It is a definition problem wearing a percentage sign.

Three questions to ask any pass rate

1. Who counted?

Most of these numbers come from the firms themselves. One of the more careful aggregators says so plainly in its own methodology note: much of the information comes from the companies, without much third-party data.

That is not an accusation of dishonesty. Self-reporting is simply the norm here, because no regulator collects this and no auditor checks it. But a number nobody independent has verified is a claim, not a statistic — and the party making it has an obvious interest in how it lands. The same is true of the comparison sites that republish it: almost all of them earn a commission when you buy an account through their link.

2. What is the denominator — accounts, or people?

This one does more damage than any deliberate spin. A trader who fails four evaluations and passes the fifth is a 20% pass rate per account and a 100% pass rate per trader. Both are true. Only one is flattering.

Watch for the phrase per-trader success. It is not wrong, but it answers a different question from the one you are asking, and it is the single easiest way to turn a modest number into an impressive one without saying anything false.

3. What counts as passing?

There are at least four different finish lines, and they are routinely reported as if they were one:

1. Hitting the profit target. The number most often quoted, and the least meaningful — you can hit a target and still fail on a consistency rule or a minimum-days requirement.
2. Being funded. Clearing every rule, not just the target.
3. Keeping the account. Funded accounts breach too, and the drawdown usually carries over.
4. Being paid. The only one that matters, and the one least often published.

The gap nobody puts in the headline

Roughly 14% funded. Roughly 7% paid. If both figures are close to right, then about half the people who cleared every hurdle never saw money.

Some of that is ordinary: people breach the funded account before reaching a minimum payout threshold, or stop trading, or never request the money. But a pass rate quoted without a payout rate is answering a question you did not ask. If you are buying an evaluation, the thing you are buying is a chance at a payout, not a chance at a congratulations email.

Why none of this answers your question

Here is the part that makes the whole exercise slightly futile. Even a perfect, audited, consistently defined industry pass rate would tell you about a population. You are not a population.

And that population is dominated by people whose expectancy is negative — who lose money per trade on average, and for whom no rule set, account size or amount of discipline changes the outcome. Their presence drags the average down in a way that says nothing whatsoever about a trader with a genuine edge. Equally, the firms reporting 50% are not reporting a different reality; they are usually reporting a different denominator.

The industry number is close to uninformative about you, in both directions. Which is inconvenient, because it is the only number most people ever look at before paying.

What you can work out instead

You cannot find out the industry's true pass rate. You can work out what your own numbers imply under a specific firm's rules, and that is a far more useful thing to know.

It takes four inputs you should already have: your win rate, your average win, your average loss, and how many trades you take in a day. Put those against the firm's profit target, drawdown size and type, daily loss limit, minimum days and consistency rule, and you can simulate the evaluation thousands of times.

Two things fall out of that exercise that the industry figure hides completely.

The rule set matters as much as the trading

Take a trader with a real, positive edge — say a 50% win rate with a $300 average win against a $250 average loss, three trades a day, going for a $3,000 target on a $2,000 drawdown, with a $1,000 daily loss limit, a five-day minimum and a 30% consistency rule. Simulated ten thousand times over a sixty-day window — these are the simulator's own default inputs with the win rate set to 50, so you can reproduce every figure below yourself:

Same trader. Same trades. Eighteen and a half points of difference, decided entirely by which of three drawdown rules the firm happens to use. No pass-rate statistic in circulation separates these, which is why comparing headline percentages between firms is close to meaningless.

The asymmetry does more work than your edge

To pass you have to travel a long way up. To fail you only have to travel a short way down — and you have to avoid doing it even once, on any day, along the entire route. That asymmetry is why a method with a genuinely positive expectancy can still fail most evaluations, and why the same trader can pass on the third attempt having changed nothing at all.

It is also the reason a single pass proves very little. If you want to know what your record does and does not establish, that is a separate question with a separate answer.

What would actually settle this

Independent, audited, per-trader outcome data with consistent definitions across firms, covering the whole path from evaluation to payout. Nobody has it. There is no regulator collecting it and no commercial incentive for anyone inside the industry to produce it, because the honest version is unlikely to help anyone sell anything.

The only plausible source is traders' own records, contributed voluntarily and anonymously, with the method published so anyone can check it. That is something we would like to build eventually. We do not have it today, and we would rather say so than publish a number we cannot stand behind — which is, after all, the entire complaint of this article.

The short version

• Published pass rates come overwhelmingly from firms and from sites paid per signup.
• They use inconsistent denominators — accounts versus traders — and inconsistent finish lines.
• The funded figure and the paid figure differ by roughly half, and only one of them is what you are buying.
• None of them describe you, because the population is dominated by negative-expectancy traders.
• Your own numbers against a specific rule set will tell you more in five minutes than every published statistic combined.

Where these figures came from

The percentages quoted above are as published by the sources below, in September 2026. We have not audited them and neither, as far as we can establish, has anyone else — which is the article's point rather than a caveat to it. The simulator figures are reproducible by anyone: they are the tool's own defaults with the win rate set to 50.

• Fortunly — Prop Firm Challenge Pass Rate Statistics, which aggregates firm-reported figures and is candid about their provenance.
• QuantVPS — Prop Firm Statistics.
• Track360 — Prop Firm Affiliate Commission Rates Benchmark, for the scale of the affiliate economy that funds most coverage of this industry.

Those links carry no referral code and earn us nothing. If any of these figures is superseded or shown to be wrong, tell us and this page changes.

Work out your own

Educational content only. Not financial, investment or trading advice, and not a signal service. Futures trading involves substantial risk of loss and is not suitable for every investor; most people who attempt it lose money, and you can lose more than you deposit. Nothing here promises or implies profit. Figures attributed to third parties are as published by them and have not been independently verified.