Prop Firm Challenge Pass Probability: How Risk per Trade Changes Your Odds
Each faint trail is one simulated future for this strategy. The bold line is the median — half of runs finished above it, half below. The shaded band spans the lucky 10th to unlucky 90th percentile, so an outcome inside the band was reasonable to expect; outside, less so.
- Same strategy, same edge: at 1% risk it passed 96% of simulated challenges; at 3% risk only 77%
- Higher risk passes faster — but every extra 1% of risk roughly doubles to triples the bust rate
- Time limits are gone at most major firms, so speed buys you nothing except risk
- The bust rate, not the pass rate, is the number that decides whether challenges are worth buying
- Run your own numbers in the Challenge Pass Probability calculator before paying any fee
Before running a challenge, it’s worth checking how likely your strategy is to blow up a full account at different risk levels. The Risk of Ruin Table gives you a quick lookup by win rate and risk per trade.
Most traders pick their risk per trade for a prop firm challenge by feel. They want to hit the 10% target quickly, so they size up. The intuition is that bigger positions mean a faster pass. That part is true. What the intuition misses is how quickly bigger positions also raise the odds of hitting the maximum drawdown first.
We ran 20,000 simulated challenges for each combination below. Each challenge used a 10% profit target and a 10% maximum drawdown — the standard two-phase rules at firms like FTMO. Every trade risked a fixed percentage of the starting balance. The simulation ends when the account hits the target (pass) or the drawdown floor (bust).
The results
| Strategy | Risk / trade | Pass rate | Bust rate | Median trades to pass |
|---|---|---|---|---|
| 55% WR · 1.5R | 0.5% | 100.0% | 0.0% | 50 |
| 55% WR · 1.5R | 1% | 99.3% | 0.7% | 24 |
| 55% WR · 1.5R | 2% | 92.5% | 7.5% | 10 |
| 55% WR · 1.5R | 3% | 86.6% | 13.5% | 6 |
| 50% WR · 1.5R | 0.5% | 99.9% | 0.1% | 70 |
| 50% WR · 1.5R | 1% | 96.4% | 3.6% | 32 |
| 50% WR · 1.5R | 2% | 84.6% | 15.4% | 12 |
| 50% WR · 1.5R | 3% | 77.0% | 23.0% | 6 |
| 45% WR · 2.0R | 1% | 96.8% | 3.2% | 22 |
| 45% WR · 2.0R | 2% | 84.5% | 15.5% | 7 |
| 45% WR · 2.0R | 3% | 79.0% | 21.0% | 5 |
Method note: 20,000 runs per row, fixed-dollar risk from starting balance, 10% target, 10% max drawdown. No daily loss limit was modelled — real challenges with a 5% daily limit will show slightly higher bust rates at 2–3% risk.
What the table actually says
Look at the 50% win rate strategy — a modest but real edge. At 1% risk, it busts in 3.6% of simulated challenges. At 3% risk, it busts in 23%. That is more than six times the failure rate for a strategy that did not change at all. The only thing that changed was position size.
The speed gain is real but small in practice. At 1% risk the median pass took 32 trades. At 3% risk it took 6. If you trade twice a day, that is the difference between about three weeks and three days. Since FTMO, FundedNext and E8 Markets no longer impose time limits, those saved weeks earn you nothing. The challenge math shows why bust rate — not speed — is what determines whether challenges are financially rational.
Why the bust rate is the number that matters
Each bust costs you the challenge fee. On a $100,000 FTMO account that is roughly €540. A 23% bust rate means almost one in four attempts throws that fee away. A 3.6% bust rate means about one in twenty-eight. Over a year of attempts, that gap is the difference between challenges being a cost centre and challenges being a reliable route to funding.
Expected fee loss per attempt = Bust rate × Challenge feeAt 3% risk: 0.23 × €540 = €124 expected loss per attempt. At 1% risk: 0.036 × €540 = €19. Same trader, same strategy, €105 difference per attempt. If you are working through a math-based approach to passing, this is the single most controllable variable.
The weaker your edge, the more risk hurts
Notice that the 55% / 1.5R strategy still passes 87% of the time at 3% risk. A strong edge absorbs aggressive sizing better. The problem is that almost no trader knows their true edge with that precision — especially before a challenge. If your real win rate is 50% and you believe it is 55%, sizing for the stronger edge is exactly how you end up on the wrong side of the table.
The safer rule: size for the edge you can prove from at least 100 logged trades, not the edge you hope you have.