Trading guides

Win rate vs risk reward: the break-even win rate for every ratio

The win rate you need to break even depends on your risk reward ratio: break-even win rate = 1 ÷ (1 + R:R). At 1 : 1 you need 50%. At 1 : 2 you need 33.3%. At 1 : 3 you need 25%. The full table from 0.5 to 5 is below.

The break-even win rate formula

Your risk reward ratio (R:R) is how much you make on an average winner for every unit you lose on an average loser. Your break-even win rate is the win rate at which those wins and losses cancel out exactly:

break-even win rate = 1 ÷ (1 + R:R)

It comes straight from expectancy. Measure everything in R, so the average loss is −1 and the average win is R:R. Expectancy is WR × R:R + (1 − WR) × (−1). Set that to zero and solve: WR × (1 + R:R) = 1, so WR = 1 ÷ (1 + R:R).

Above the break-even win rate, your trades made money on average. Below it, they lost money on average. Check a specific trade's ratio with the risk reward calculator.

Break-even win rate table: R:R from 0.5 to 5

Every cell below is 1 ÷ (1 + R:R), rounded to one decimal place. "Losses you can afford" is the share of trades that can lose while you still break even.

Risk : rewardBreak-even win rateLosses you can afford
1 : 0.566.7%33.3%
1 : 0.7557.1%42.9%
1 : 150.0%50.0%
1 : 1.2544.4%55.6%
1 : 1.540.0%60.0%
1 : 1.7536.4%63.6%
1 : 233.3%66.7%
1 : 2.528.6%71.4%
1 : 325.0%75.0%
1 : 3.522.2%77.8%
1 : 420.0%80.0%
1 : 4.518.2%81.8%
1 : 516.7%83.3%

Two things stand out. First, the gains are steep at the low end: going from 1 : 0.5 to 1 : 1 drops the required win rate by 16.7 points. Second, they flatten at the high end: going from 1 : 4 to 1 : 5 only drops it by 3.3 points, while targets that far away are typically reached less often.

These break-even figures hold after costs only if your R:R already includes commissions and slippage. Measure R:R from your actual results, not your planned targets.

When a high win rate loses money

Take a trader who wins 75% of the time. That sounds strong. Their average win is $40 and their average loss is −$150, so their realised R:R is 40 ÷ 150 ≈ 0.267.

Break-even win rate = 1 ÷ (1 + 0.2667) = 78.9%.

Their 75% is below that. Expectancy confirms it:

0.75 × 40 + 0.25 × (−150) = 30 − 37.50 = −$7.50 per trade.

Three wins out of every four, and the account still shrinks on average. This pattern often comes from closing winners early and holding losers in the hope they recover.

When a low win rate makes money

Now a trader who wins only 35% of the time. Their average win is $250 and their average loss is −$100, an R:R of 2.5.

Break-even win rate = 1 ÷ (1 + 2.5) = 28.6%.

Their 35% is above it. Expectancy:

0.35 × 250 + 0.65 × (−100) = 87.50 − 65 = +$22.50 per trade.

They lose almost two trades in three and still make money on average over the sample. The catch is psychological: long losing runs are a normal part of a profile like this, and many traders abandon it during one. Sizing each trade small with the position size calculator makes those runs survivable.

Distance from break-even is what matters

Being above break-even is necessary, but the size of the margin tells you how robust it is. Compare two profiles in R:

ProfileBreak-evenYour win rateMarginExpectancy
1 : 2, 40% WR33.3%40%+6.7 pts0.40 × 2 + 0.60 × (−1) = +0.2R
1 : 1, 55% WR50.0%55%+5.0 pts0.55 × 1 + 0.45 × (−1) = +0.1R

The lower win rate has the larger margin and twice the expectancy per trade.

Margins shrink fast in practice. Suppose your plan is 1 : 2 and you win 36%, a small cushion over 33.3%. If slippage trims winners by 10% (to 1.8R) and stretches losses to −1.1R, expectancy becomes 0.36 × 1.8 + 0.64 × (−1.1) = −0.056R. A thin edge on paper turned negative in execution.

Common mistakes with this table

Finding your own numbers

Planned R:R and realised R:R are different things. To see where you actually stand:

  1. Record every trade's result as an R-multiple using your initial stop.
  2. Compute your win rate and your average win and average loss in R.
  3. Realised R:R = avg win ÷ |avg loss|.
  4. Look up the break-even win rate for that R:R in the table above, or compute 1 ÷ (1 + R:R).
  5. Compare it with your actual win rate, and note the trade count.

Do this per setup. One setup can sit well above its break-even line while another sits below it. The trading journal spreadsheet has the columns, and the win rate guide covers how to count wins consistently.

Common questions

What win rate do I need with a 1:2 risk reward?

33.3%. The break-even win rate is 1 ÷ (1 + 2) = 0.333. Above that, trades made money on average over the sample.

What is the break-even win rate at 1:1?

50%. With equal-sized wins and losses, you need to win half your trades to break even.

What is the break-even win rate formula?

Break-even win rate = 1 ÷ (1 + R:R), where R:R is your average win divided by the absolute value of your average loss.

Is a higher risk reward ratio always better?

No. A higher ratio lowers the win rate you need, but distant targets are usually hit less often. What matters is how far your actual win rate sits above the break-even for your actual ratio.

Should I use planned or actual risk reward?

Actual. Planned targets often differ from where trades close. Compute R:R from your realised average win and average loss after costs.

What is the break-even win rate at 1:3?

25.0%. The formula gives 1 ÷ (1 + 3) = 0.25, so you can lose three trades in four and still break even over the sample, provided your average win really is three times your average loss after costs.

More calculators

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