PropSurvival · The number that lies · Seeded Monte Carlo

Win rate is the most
misleading number in trading.

It's the first thing traders quote and the last thing that decides whether they make money. You can win nine trades out of ten and still go broke; you can lose more often than you win and compound for years. There's one number that tells the truth about your edge — and it isn't your win rate. Here's the number, and why the evaluation only grades that one.

Scroll for the number
01 · The illusion

Does winning more often mean making money?

No. Read the win rates. The three highest here — 90%, 75%, 50% — all lose money. The three lowest — 52%, 40%, 30% — all win.

Six traders, sorted by profit. The win-rate column beside them is in no order at all: it climbs, drops, jumps. That's the whole lesson in one picture — win rate does not sort winners from losers. A trader who wins 9 times in 10 can bleed out if the wins are small and the losses are whole; a trader who's wrong 70% of the time can thrive if the few wins are large.

The teachable fact: the top-3 win rates all lose; the bottom-3 all win
expectancy per trade (R) · losses fixed at −1R · net of 0.05R cost
break-even win rate = 1 ÷ (1 + reward:risk) · above the line pays, below it bleeds
02 · The number

So what actually decides it?

Expectancy = (win rate × average win) − (loss rate × average loss). The average R you earn per trade. Positive, you compound. Negative, you pay to play.

A win rate is only meaningful next to the size of the wins it buys. Rearranged, the break-even win rate is 1 ÷ (1 + reward:risk): at 1:1 you need 50%, at 2:1 just 33%, at 3:1 only 25%. That's why a 30%-win-rate trend follower prints money at 3.5:1, and a 90%-win-rate scalper bleeds at 0.15:1 — one full-R loss erases nearly seven of those tiny wins.

View the break-even win rates
Win rate needed to break even, by reward:risk
Reward : riskBreak-even win rate
0.5 : 166.7%
1 : 150.0%
1.5 : 140.0%
2 : 133.3%
3 : 125.0%
4 : 120.0%
03 · The two traders

Then why does everyone chase win rate?

Because being right feels like skill. The 9-in-10 scalper wins almost every day — and ends an evaluation down 1.4% on average, failing one time in four.

Put both traders through the same 100-trade evaluation. The scalper's outcomes are a narrow band around break-even — smooth, reassuring, and quietly negative. The reference trader loses nearly half his trades but carries a long right tail: a median that's positive and a +45.8% good run that the scalper's style can never reach. A high win rate buys a comfortable feeling. Expectancy buys the right tail.

evaluation outcome, 10th–90th percentile · 1% risk · 5% floor · 100 trades · 20,000 paths
share of 100-trade evaluations failed · same floor · 20,000 paths each
04 · What the eval grades

The evaluation never asks your win rate.

It asks whether your expectancy survives a floor. The scalper wins more often and fails nearly twice as often — 24.8% versus 13.5%.

A high-win-rate curve looks smooth right up until the cluster of losses that the style always eventually meets — and the drawdown floor is waiting there. This is where the two halves of survival meet: expectancy gets you a positive average, and risk of ruin decides whether you're still trading when the average arrives. You need a positive edge and enough room to outlast its variance. Win rate speaks to neither.

The teachable fact: the higher win rate failed 1.8× more often
05 · The takeaway

Stop counting wins. Start weighing them.

Win rate is a vanity metric; expectancy is the P&L. And the evaluation only grades the second — after variance has had its say.

See your real expectancy and pass odds — free

Enter your win rate, average win and average loss in R — or import a trade CSV — and get your expectancy, your risk of ruin and your pass probability under each firm's actual rules. Nothing you enter leaves your device.

Five facts worth keeping

1 · Win rate does not sort winners from losers.
The three highest win rates (90/75/50%) all lose; the three lowest (52/40/30%) all win.
2 · Expectancy is the only verdict.
(win rate × avg win) − (loss rate × avg loss) — the average R per trade. Positive or you pay to play.
3 · Break-even win rate = 1 ÷ (1 + reward:risk).
50% at 1:1, 33% at 2:1, 25% at 3:1. A win rate means nothing alone.
4 · A high win rate hides a fat tail.
The 90% scalper ends −1.4% on average and fails 1 in 4 evaluations.
5 · The evaluation grades expectancy, not win rate.
Pair a positive edge with enough room to outlast its variance — that's survival.

PropSurvival is independent analytical software — not affiliated with any firm, and not investment advice. Expectancy and break-even figures are exact algebra; the evaluation outcomes are measured from a seeded Monte Carlo model (1% risk per trade, 5% static floor, 100 trades, 20,000 paths per profile, mulberry32 seed 12345, losses fixed at −1R, 0.05R cost). Your own numbers are the only ones that describe you.