Trading strategies · Intermediate

Risk-Reward Ratio And Win-Rate Math

The relationship between reward-to-risk and how often you need to be right is fixed arithmetic, not a matter of trading philosophy.

Last reviewed 15 September 2026 by the MarketPro research desk · Editorial policy

In short

The breakeven strike rate for any reward-to-risk ratio R is 1 divided by (1 + R). A 1 to 1 trade needs half the trades to work, a 2 to 1 trade needs one in three, and a 3 to 1 trade needs one in four. A method risking more than it targets needs to be right two times in three just to stand still, before any costs are deducted.

What to remember

Breakeven is 1 divided by (1 + R). At 2 to 1 that is one win in three, at 3 to 1 it is one in four.
Expectancy is the probability of winning times the average win, minus the probability of losing times the average loss. It is the number that matters.
Cutting winners short can flip a method to breakeven without any change to the entry, which makes it the most expensive common habit in trading.
Eight wins at 10 pips against two losses at 50 pips is a losing sequence that feels like a winning one.

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The breakeven table, which settles most arguments

Risk-reward ratio compares what a trade risks against what it targets. Win rate is the proportion of trades that end in profit. Neither number means anything alone, and the relationship between them is fixed arithmetic rather than opinion.

The breakeven point for any reward-to-risk ratio R is 1 divided by (1 + R), expressed as a percentage. That produces this table, which is worth knowing by heart.

Reward to risk	Breakeven strike rate	Meaning
0.5 to 1	66.7%	Two out of three must win just to stand still
1 to 1	50%	Half, before costs
1.5 to 1	40%	Four in ten
2 to 1	33.3%	One in three
3 to 1	25%	One in four
5 to 1	16.7%	One in six

Read across the 2 to 1 row. A strategy risking 1 to make 2 is at breakeven when one trade in three works, which means being wrong on two thirds of trades and still not losing money. Read the top row the other way: a strategy taking small profits and allowing larger losses needs to win two out of three trades just to stay level, before a single pip of cost is deducted.

Expectancy, in one line

The table is a special case of a more useful formula:

Expectancy per trade = (probability of winning x average win) minus (probability of losing x average loss)

Put numbers in it. A method that makes $60 on winners, loses $30 on losers, and wins four trades in ten: (0.4 x 60) minus (0.6 x 30) = 24 minus 18 = $6 per trade. Over 100 trades that is $600, assuming the averages hold.

Now change one variable. Hold the same four-in-ten strike rate but let the average win slip to $45 because of early exits: (0.4 x 45) minus (0.6 x 30) = 18 minus 18 = 0. The method is now breakeven, and nothing about the analysis changed. The behaviour did. That single sensitivity is why cutting winners short is the most expensive common habit in trading.

Costs move the line, and they move it more than people expect

The table above is before costs. Spread and commission are deducted from every trade, winners and losers alike, which shifts the breakeven point upward.

Consider a 2 to 1 setup risking 20 pips to make 40 on a pair with a 1.5-pip spread. The effective risk is 21.5 pips and the effective reward is 38.5, which is 1.79 to 1 rather than 2 to 1. The required strike rate moves from 33.3% to about 35.8%. On a 50-pip stop and a 100-pip target the same spread costs far less proportionally, which is exactly why short-term methods need a better strike rate than longer-term ones to reach the same result. Work your own numbers through the profit calculator using realistic fills rather than the intended ones.

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A high strike rate that loses money

The most common way this arithmetic is misunderstood is treating a high proportion of winners as evidence of a good method. A strategy that takes 10 pips of profit and allows 50 pips of loss wins eight trades in ten and still loses: eight wins at 10 pips is 80, two losses at 50 pips is 100, net 20 pips down over ten trades.

It also feels excellent while it is happening. Eight winners in ten produces a long, satisfying run of green trades punctuated by occasional large losses that get mentally filed as unlucky. Judging a method by how often it wins, rather than by expectancy, is the error that keeps this structure alive in trading accounts for months.

Why a target you cannot reach is not a ratio

Ratios are only meaningful if both sides are achievable. Setting a 5 to 1 target because the table says you only need to win one in six is a paper exercise if the market rarely travels that far from your entry before reversing.

The realistic constraint comes from the chart: how far is the next obvious obstacle, and what is the typical range of the instrument over your holding period? A 100-pip target on an instrument with a 40-pip average daily range is not a 3 to 1 trade, it is a 3 to 1 hope. Check the target against structure and against recent volatility before recording the ratio.

Getting your real numbers instead of your assumed ones

Record every trade, including the ones closed early and the ones scratched, since those are the trades that pull the average win down.
Log intended and actual. Planned reward-to-risk and realised reward-to-risk are usually different numbers, and the gap between them is the most informative thing in the journal.
Wait for a meaningful sample. Thirty trades is a hint, a hundred is evidence. Below that, a run of results says more about variance than about method.
Compute expectancy per trade, not total profit, so the figure is comparable across periods with different numbers of trades.

A method with a modest strike rate and a strong ratio can work, and a method that wins most of the time can lose money. The two numbers only make sense together, and the drawdown calculator covers the other half of the picture, which is what the losing sequences do to the account while the expectancy is playing out.

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Written and reviewed by the MarketPro research desk

MarketPro is a trading-signal and trading-education app operated by Harajuku Holdings LTD (Cyprus). Our signal desk publishes and tracks every trade idea in-app, and every page here is checked against the app's live behaviour before publishing. Last reviewed 15 September 2026. How we produce signals and content · About MarketPro

FAQ

Risk-Reward Ratio And Win-Rate Math: questions

What is a good risk-reward ratio?

Anything above 1 to 1 reduces how often you need to be right, and 2 to 1 is a common benchmark because it allows a method to be wrong on two thirds of trades and still break even before costs. The ratio has to be achievable, though. A 5 to 1 target on an instrument that rarely travels that far from an entry is a number on a plan rather than a trade, so check the target against structure and recent volatility first.

Can you be profitable with a low win rate?

Yes, provided the average winner is large enough relative to the average loser. A method risking 1 to make 3 is at breakeven when one trade in four works, so anything better than that is positive before costs. The difficulty is psychological rather than mathematical, because a long run of losing trades is uncomfortable to sit through even when the arithmetic is sound.

How do you calculate expectancy in trading?

Multiply the proportion of winning trades by the average profit on a winner, then subtract the proportion of losing trades multiplied by the average loss. A method winning four trades in ten with an average win of $60 and an average loss of $30 has an expectancy of $6 per trade. Use realised figures from a journal rather than planned ones, since trades closed early pull the average win down.

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