The data at a glance
The table below summarizes what industry disclosures, community surveys and our own full simulation engine say about the same metrics. Industry figures are best-effort estimates; simulator figures are reproducible against a specified ruleset and edge.
| Metric | Industry figure | Source type | Our simulated figure |
|---|---|---|---|
| Evaluation pass rate | 5–10% | Firm disclosures, independent samples | 31.6% |
| Funded-account payout rate (of those funded) | ~30–40% | Aggregated firm data | 45.2% |
| Joint probability: ever paid (of all entrants) | ~7% | Derived | 13.2% |
| Average attempts before funding | 2–4 | Community surveys | 3.2 |
| Average spend before first payout | $400–$1,200 | Estimated from typical eval fees | $761 |
| % failures — daily loss limit | ~45% | Firm-published failure reasons | 26% |
| % failures — trailing / max drawdown | ~35% | Firm-published failure reasons | 27% |
| % failures — time / minimum days | ~10% | Firm-published failure reasons | 46% |
| % failures — consistency rule | ~10% | Firm-published failure reasons | <1% |
Simulated column: balanced trader archetype (50% win rate, 1.2:1 reward-to-risk, 3 trades/day) run against all 20 firm rulesets in our database. It sits above the industry band by design — the simulated trader has a real positive edge, while the industry population does not. Our "time / minimum days" share is also higher because the engine records "ran out of days without reaching target" as its own failure cause, where most firms fold it into other categories.
How many traders pass prop firm evaluations?
Roughly 5–10% of traders pass a prop firm evaluation. The number is not one figure but a band, because pass rate is dominated by the ruleset — trailing vs static drawdown, daily loss limit size, consistency rule presence — not by trader skill alone. A firm with intraday trailing drawdown and a 30% consistency rule can push effective pass rate to the low end even for competent traders.
Simulated figure: in our engine, a balanced trader with a genuine positive edge passes 31.6% of evaluations across all 20 rulesets — 41.0% on one-phase challenges and 22.2% on two-phase ones. The gap between that and the real-world 5–10% is the size of the edge problem: most entrants are not profitable before fees.
Standalone fact: when the same trader and strategy is simulated against a static-drawdown ruleset and then a trailing-drawdown ruleset, pass rate typically drops by 7–15 percentage points with no other change.
What percentage of funded traders actually receive a payout?
Of the ~7% of traders who ever get funded, only about a third clear the first payout cycle. Trailing drawdown, minimum trading days on the funded account, and consistency rules that carry over from evaluation all filter out live accounts before the withdrawal window opens.
Standalone fact: joint probability of an evaluation entrant ever receiving a live payout is approximately 7%.
Why do most traders fail in the first week?
First-week failure is almost always a single daily loss limit breach — one oversized position or one bad session — not slow drawdown attrition. Trailing drawdown becomes the top killer later, once equity has climbed and the floor has ratcheted up with it.
- Day 1–5 failures: dominated by daily loss limit breaches.
- Day 5–15 failures: mix of daily loss and trailing drawdown.
- Day 15+ failures: dominated by trailing drawdown after a give-back from a new equity high.
How many attempts does it take to get funded?
Traders who eventually pass typically do so on their 2nd–4th attempt. The distribution has a long right tail — a meaningful minority pass on their 5th or later try, and a similarly sized group never passes at all. The mean is dragged up by that tail; the median is closer to 3. Our simulator puts the expected number of attempts at 3.2 for a balanced trader, or 2.0 against trailing-drawdown futures rulesets and 4.6 against tighter static-drawdown FX rulesets.
How much do traders spend before their first payout?
Combining 2–4 evaluation attempts with typical $150–$400 fee ranges and monthly funded-account fees, most first-time payouts are preceded by $400–$1,200 in eval costs. Our simulated average is $761 at a $241 mean evaluation price. In sequence-of-challenges simulations, expected value only turns positive when a trader's real edge — measured from their actual logged trades — is high enough to clear both the ruleset and the fee load.
Do 1-step or 2-step challenges have higher real pass rates?
One-phase challenges have higher raw evaluation pass rates but tighter drawdown and stricter consistency rules, which compresses long-run expected value. Two-phase challenges have lower raw pass rates but tend to fund traders whose edge survives a longer sample, which raises funded-account survival.
Standalone fact: in simulation, funded-account 60-day survival is roughly 10–20 percentage points higher for traders who came through a two-phase evaluation vs a one-phase evaluation with the same underlying edge.
How do trailing vs static drawdown rules change pass rates?
Trailing drawdown is the single most important variable in prop firm pass rates: it reshapes the failure-cause mix. In our engine, drawdown breaches cause 50% of all failures on trailing-drawdown rulesets versus 14% on static ones, where the daily loss limit takes over as the primary killer at 35% of failures. The direction of the pass-rate effect depends on how tight the rest of the ruleset is — trailing futures accounts pair a moving floor with a much lower profit target, which is why they can still out-pass static FX accounts on paper while killing far more funded traders later.
See trailing drawdown explained for the mechanics, or run the difference yourself in the simulator.
Methodology
Our simulated figures come from a simulation engine that plays thousands of independent evaluations trade-by-trade against a specified ruleset — account size, profit target, drawdown type and size, daily loss limit, consistency rule, minimum trading days. Traders are modeled as archetypes defined by win rate, average win/loss and trades per day; the figures on this page use the balanced archetype (50% win rate, 1.2% average win, 1.0% average loss, 3 trades per day) averaged across all 20 firm rulesets in our database, last verified 15 July 2026. The engine records the exact failure cause for every terminated run, so the failure-cause mix in the data table is a direct output, not an inference.
Why our numbers are higher than the industry band. Industry pass rates are measured over everyone who buys an evaluation, including traders with no edge at all. Our archetypes are defined as edge-positive by construction, so their pass rates should — and do — come out higher. The useful comparison is not our number vs the industry number, it is your number vs both, which is what the journal-to-simulator loop produces.
Independence caveat. The model treats each trade as independent of the next. Real trading has streaks — tilt, fatigue, regime changes — that push pass rates lower than the independence assumption suggests. Treat the simulator figures as an honest baseline, not a guarantee. You can reproduce every number in the simulator by matching the ruleset and trader archetype.
Frequently asked questions
What percentage of prop firm traders actually pass evaluations?
Across industry disclosures and independent samples, roughly 5–10% of traders pass a prop firm evaluation. The exact number depends on the ruleset — trailing drawdown, consistency rules and daily loss limits pull pass rates toward the lower end of that band.
What percentage of funded traders receive a payout?
About 7% of all traders who start an evaluation ever receive a live payout. Of the small share that get funded, most fail their funded account before hitting the first withdrawal window — usually to trailing drawdown, not missed targets.
How many attempts does the average trader take to get funded?
Traders who eventually get funded typically take 2–4 evaluation attempts. The right-tail is long: a meaningful share of the funded population passed on their 5th or later try.
Why do most traders fail in the first week?
The dominant first-week failure mode is a single daily loss limit breach — one oversized trade or one bad session — not a slow drawdown grind. Trailing drawdown becomes the top killer only later, once equity has climbed and the floor has followed it up.
Are 1-step challenges easier to pass than 2-step?
In simulation, 1-step challenges have higher raw pass rates but tighter drawdown and stricter consistency rules, which compresses the edge. Two-step challenges pay less per attempt and take longer, but the funded-account survival rate is meaningfully higher.
What pass rate does the PropFirmBacktester simulator produce?
Across the 20 firm rulesets in our database, a balanced trader archetype (50% win rate, 1.2:1 reward-to-risk, 3 trades per day) passes 31.6% of evaluations, clears a first payout in 45.2% of funded accounts, and reaches a live withdrawal 13.2% of the time. Those figures are higher than the 5-10% industry band because the simulated trader is defined as having a genuine positive edge — most real entrants do not.
Related reading
- Pass rate reality — what the industry actually publishes
- Trailing drawdown explained
- Why most funded traders never get paid
- The consistency rule, explained
- How to pass a prop firm challenge
- One-phase vs two-phase challenges
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PropFirmBacktester is independent and not affiliated with any prop firm. No affiliate links, no kickbacks. All figures on this page are estimates for educational purposes only and are not financial advice. Simulated figures depend on the ruleset and trader archetype used; industry figures are aggregated from firm disclosures and public samples and may not reflect any individual firm.