# Why a 70% Win Rate Can Still Lose Money

> A 70% win rate sounds unbeatable, yet it can still lose money. Here is the win rate vs expectancy math that decides your account, with worked examples.

Canonical: https://www.journalx.io/blog/win-rate-vs-expectancy

A high win rate only tells you how often you win, not how much. A trader who wins 70 percent of the time still loses money if the average loss is far bigger than the average win. The number that actually decides your account is expectancy, the average profit or loss per trade across wins and losses together.

A 70 percent win rate sounds unbeatable, and that is exactly why it is dangerous. Win rate is the most quoted number in trading and one of the most misleading on its own, because it counts how often you win while saying nothing about how much. Once you put win rate vs expectancy side by side, the illusion breaks. A trader can be right seven times out of ten and still bleed the account dry, while another is wrong more than half the time and compounds steadily. This post shows the math behind that, why the high win rate feels so good, and how to read your own numbers honestly.

## How a 70% win rate loses money

Take two traders over ten trades each. The first wins far more often. The second wins less than half the time. Watch what actually happens to the money.

|                        | Trader A         | Trader B           |
| ---------------------- | ---------------- | ------------------ |
| Win rate               | 70%              | 40%                |
| Average win            | $50              | $300               |
| Average loss           | $150             | $100               |
| Wins (10 trades)       | 7 × $50 = +$350  | 4 × $300 = +$1,200 |
| Losses (10 trades)     | 3 × $150 = -$450 | 6 × $100 = -$600   |
| **Net result**         | **-$100**        | **+$600**          |
| Per trade (expectancy) | -$10             | +$60               |

Trader A wins almost twice as often and still ends the stretch down 100 dollars. Trader B is wrong six times out of ten and walks away up 600. The win rate pointed at the wrong trader. What separated them was not how often they were right, it was the size of the wins against the size of the losses.

## Win rate vs expectancy, the number that decides

The metric that caught what win rate missed is [expectancy](/glossary/expectancy), the average profit or loss you can expect per trade. It folds together how often you win and how big those wins and losses are, into one number.

The formula is straightforward. Expectancy equals your win rate times your [average win](/glossary/average-win), minus your loss rate times your [average loss](/glossary/average-loss). Run Trader A through it and you get (0.70 × $50) − (0.30 × $150), which is −$10 a trade. Every trade A takes is worth minus ten dollars on average, so more trading just loses faster. Trader B comes out at (0.40 × $300) − (0.60 × $100), or +$60 a trade. Same number of trades, opposite destiny.

A high win rate is satisfying because being right feels good, but it is only one of the inputs that decides your account. Expectancy is the output. If you track one number after the fact, track expectancy, and read win rate as a clue about how you get there, not as the score itself.

## Why a high win rate feels so good

If a high win rate can lose money, why do so many traders chase it? Because being right is emotionally cheaper than being profitable. We are wired to dislike losses more than we enjoy equivalent gains, so the instinct is to lock in a small winner quickly to feel right, and to give a loser room to come back so you don't have to admit it.

Both instincts pump up your win rate and wreck your expectancy at the same time. Cutting winners early shrinks your average win. Letting losers run swells your average loss. Do both often enough and you build Trader A on purpose, a string of satisfying small wins funded by a few quiet disasters. The win rate looks great right up until the equity curve tells the truth.

![Two equity curves: a 70 percent win-rate account drifting down while a 40 percent win-rate account climbs steadily, showing that win rate alone does not decide profit.](https://assets.journalx.io/marketing/blog/win-rate-vs-expectancy/win-rate-vs-expectancy-curves.avif)

## The four numbers to read together

Win rate is not useless, it is just incomplete. Read it as part of a set, where each number checks the others.

- **[Win rate](/glossary/win-rate)** tells you how often you win. Start here, but never stop here.
- **[Average win](/glossary/average-win)** and **[average loss](/glossary/average-loss)** tell you the size of each side. Win rate only has meaning once you see these next to it.
- **[Expectancy](/glossary/expectancy)** combines all three into the average result per trade. This is the one that decides the account.
- **[Profit factor](/glossary/profit-factor)** is gross profit divided by gross loss, a quick cross-check on how many dollars you make for every dollar you lose.

The relationship is the whole point. A low win rate is fine when your [risk-reward ratio](/glossary/risk-reward-ratio) is high enough, and a high win rate is required when you trade small targets against wider stops. Neither is good or bad until you see the other half.

## How to read your own win rate honestly

The fix is not to aim for a different win rate, it is to stop reading it alone. Pull your last few dozen trades and put your win rate next to your average win, your average loss, and your expectancy. If the win rate is high but expectancy is thin or negative, you are very likely cutting winners and nursing losers, and the size of your average loss will give it away.

Then slice it by setup instead of across the whole account, because a blended number hides which strategy is Trader A and which is Trader B. One last caution. Judge samples, not single trades. A handful of trades is noise, and you need a few dozen on one setup before the read is reliable. If you are still building the habit underneath all this, our guides on [how to keep a trading journal](/guides/how-to-keep-a-trading-journal) and [the weekly trade review process](/guides/the-weekly-trade-review-process) cover how to capture and read these numbers without the spreadsheet busywork.

JournalX computes expectancy, win rate, average win and loss, and profit factor for every setup automatically, so you can see which trades actually make money instead of which ones just feel good.