Guide
Win Rate vs Risk Reward
Win rate tells you how often a strategy wins. Risk reward tells you how large winners are compared with losers. Expectancy needs both.
Why win rate alone is incomplete
A high win rate can still lose money if the average loss is much larger than the average win. A lower win rate can be profitable if winners are large enough.
This is why the question is not simply "how often does it win?" The better question is "what is the average result after wins and losses are combined?"
Risk reward changes the win rate required
The larger the average winner compared with the average loser, the lower the break-even win rate can be. The smaller the average winner, the higher the required win rate becomes.
Use the break-even win rate calculator when you want to find the minimum win rate required by a reward/risk profile.
Example combinations
These examples assume a 1R average loser and no costs. Real results should account for slippage, commissions and execution quality.
| Win rate | Average winner | Average loser | Expectancy |
|---|---|---|---|
| 40% | 2.0R | 1.0R | 0.20R |
| 45% | 1.5R | 1.0R | 0.13R |
| 55% | 1.0R | 1.0R | 0.10R |
| 65% | 0.6R | 1.0R | 0.04R |
| 70% | 0.5R | 1.5R | -0.10R |
Different profiles feel different
A lower win rate and larger winner can be profitable but emotionally harder because losses appear more often. A higher win rate and smaller winner can feel smoother but may have less room for slippage or execution mistakes.
After estimating expectancy, use the trading probability simulator to see how each profile can behave over random trade sequences.
Profile trade-offs
Win rate and risk reward are not just numbers. They shape how the strategy feels while trading it.
- High win rate, low reward/risk systems can feel comfortable until one oversized loss removes many small wins.
- Low win rate, high reward/risk systems can be profitable but require patience through frequent small losses.
- Balanced systems can be easier to follow, but still need enough sample size to judge the edge.
Use expectancy as the bridge
Expectancy combines win rate and risk reward into one average result per trade. It does not remove drawdown, but it gives a cleaner view than win rate alone.
Use the expectancy calculator to compare the actual win rate with the actual average winner and loser.
Costs change the comparison
Commissions, spread and slippage affect every profile, but they are especially important when the average winner is small. A high win rate system with a thin average win can become unattractive after costs.
When comparing systems, use realized average winners and losers after costs. Planned risk reward is useful before entry, but realized payoff ratio is what determines the actual distribution of results.
Frequently asked questions
Is high win rate better than high risk reward?
Not automatically. The better profile is the one with positive expectancy, manageable drawdown and realistic execution.
Can a 40% win rate be profitable?
Yes, if average winners are large enough relative to average losers and costs do not erase the edge.
Can a 70% win rate lose money?
Yes. If losses are much larger than winners, a high win rate can still have negative expectancy.
Do costs affect high win rate systems more?
They often can. If the average winner is small, commissions, spread and slippage can remove a large part of the edge.
What should I compare first?
Start with expectancy, then review drawdown, losing streaks, sample size and execution quality.