What's a Good Win Rate? It Depends on Your Risk-Reward

Ask a room of traders what a good win rate is and you'll hear "60%" more than anything else. It's a comforting number, and it's completely useless on its own. Win rate is only half of an equation. The other half — how much you make when you're right versus how much you lose when you're wrong — decides whether that win rate makes you money or quietly drains your account.

A 40% win rate can be a money machine. An 80% win rate can put you in the ground. The difference is reward-to-risk.

Win rate means nothing without R:R

Reward-to-risk (R:R) is how much you stand to gain on a winner divided by how much you lose on a loser. If you risk $100 to make $200, that's a 2:1 trade. Risk $100 to make $50 and it's 0.5:1.

Once you know your R:R, there's a single number that tells you the minimum win rate you need just to break even:

Breakeven win rate = 1 / (1 + R:R)

That's the whole thing. Plug in your reward multiple and you get the win rate that leaves you flat (before fees). Anything above it is profit, anything below it is a slow bleed.

Reward:Risk	Breakeven win rate
0.5:1	67%
1:1	50%
1.5:1	40%
2:1	33%
3:1	25%

Read that table again. At 3:1 you can be wrong three times out of four and still not lose money. At 0.5:1 you need to be right two out of three times just to tread water. The "good" win rate for one strategy is a disastrous one for another.

Two worked examples

Numbers make this concrete. Let's assume you risk a fixed $100 per trade. Per-trade expectancy is simply:

(win% × avg win) − (loss% × avg loss)

Example A — 40% win rate at 3:1. Wins pay $300, losses cost $100.

(0.40 × $300) − (0.60 × $100) = $120 − $60 = +$60 per trade

You lose 6 out of every 10 trades and still make $60 on average every time you click the button. Over 200 trades that's roughly $12,000 of edge, before you've done anything clever.

Example B — 70% win rate at 0.5:1. Wins pay $50, losses cost $100.

(0.70 × $50) − (0.30 × $100) = $35 − $30 = +$5 per trade

That one's technically positive, but barely — and it's a trap. Add realistic commissions and a couple of slippage-heavy fills and it flips negative. Now push the win rate to a "great-sounding" 65% at the same 0.5:1:

(0.65 × $50) − (0.35 × $100) = $32.50 − $35 = −$2.50 per trade

A 65% win rate, and you're losing money. That's the whole point. The high number felt like winning. The math says otherwise.

Two viable temperaments, not a right answer

There are broadly two ways to build a profitable system, and they sit on opposite ends of the same curve.

High win rate, low R:R

Scalping, mean-reversion, selling premium, fading extremes. You're right most of the time, you take small consistent gains, and you accept the occasional larger loss. It feels good — a long green streak is emotionally easy to hold. The danger is that one undisciplined loss can erase a week of small wins, so your entire edge lives or dies on cutting losers cleanly.

Low win rate, high R:R

Trend following, breakout trading, riding momentum. You're wrong more often than you're right, you eat a lot of small stop-outs, and a handful of big runners carry the whole account. The math is fantastic; the psychology is brutal. You have to sit through strings of six or seven losers without flinching or abandoning the plan.

Neither is better. They demand different temperaments. If you can't stomach being wrong repeatedly, don't force yourself into a 30%-win-rate breakout system — you'll bail on the trade that would've made your month.

The trap: chasing win rate by cutting winners early

Here's how good traders quietly destroy accounts. They fixate on win rate as a scoreboard. To keep it high, they snatch profits early — closing a 3:1 setup at 1:1 because green feels safe — while still letting losers run to full stop.

Watch what that does. You started with a 40%-at-3:1 system worth +$60 a trade. You "improve" your win rate to 55% by grabbing winners at 1:1:

(0.55 × $100) − (0.45 × $100) = +$10 per trade

Your win rate went up 15 points and your expectancy collapsed from $60 to $10. You optimized the vanity metric and gutted the one that pays. This is the single most common way profitable strategies get talked into unprofitability — one "safe" early exit at a time.

How to find your combo

Stop asking "what's a good win rate?" Start tracking win rate and average R:R together, per setup. In isolation each number lies; together they tell you exactly which trades to do more of and which to kill.

• Tag every trade with its setup (breakout, pullback, reversal, etc.).
• Log the actual R:R you realized, not the one you planned.
• Compute expectancy per setup, not for your account as a whole.

You'll almost always find that your account average hides a couple of genuinely great setups and one or two that bleed. The averages cancel out and you never notice — until you separate them.

If you want the full math on turning these two numbers into a single dollar figure, read how to calculate trading expectancy. And if the R:R side is still fuzzy, R-multiples explained covers how to measure reward-to-risk on real trades.

The takeaway

A good win rate is whatever clears your breakeven line with room to spare — and that line moves every time your reward-to-risk changes. 40% is elite at 3:1 and terrible at 0.5:1. Judge the pair, never the number alone, and never trade your R:R away to make the win rate look prettier.

Sutekka shows your win rate alongside your average R:R per setup, so the number actually means something. Start free.