Why a 50% Win Rate Can Still Make You Money: Expectancy and R-Multiples Explained
Why a 50% win rate can still make you money: expectancy and R-multiples explained
“What’s your win rate?” is the first question every new trader asks — and the wrong one. A 90% win rate can bleed you dry. A 35% win rate can be a money machine.
Your win rate is the statistic you quote to other traders and the one you should trust least. It tells you how often you win and absolutely nothing about how much you win versus how much you lose — which is the only thing that determines whether you make money.
RiskLogged’s own demo account runs at 50.9%. Barely better than a coin flip, and reliably profitable. Here’s the maths that makes that not just possible but ordinary.
Win rate is half a sentence
The easiest way to raise your win rate is to do things that destroy your account: snatch profits at +0.3R so they “don’t get away,” shuffle stops wider so you’re “not wrong yet,” average into losers until they come good. Every one of those habits lifts your hit-rate and quietly wrecks your edge. A beautiful win rate is something you can buy with a money-losing strategy.
R-multiples: the unit that matters
Measure everything in R, where 1R is the amount you risked on the trade. Risk €250 and make €500, that’s +2R. Risk €250 and lose it, that’s −1R. Now every trade and every strategy speaks the same language, and a scalper and a swing trader can finally be compared fairly. Stop counting pips and euros; count R.
Expectancy: the one number to track
Worked example: a 50% win rate, winners averaging +2R, losers −1R. Expectancy = (0.5 × 2) − (0.5 × 1) = +0.5R per trade. Take 200 trades in a year and that’s +100R of edge before you’ve done anything clever. With a coin-flip win rate. Positive expectancy is the entire game; everything else is decoration.
Why half right is plenty
| Win rate | Reward : risk to break even | What it means |
|---|---|---|
| 30% | 2.33 : 1 | winners must dwarf losers |
| 40% | 1.50 : 1 | classic trend-following zone |
| 50% | 1.00 : 1 | anything above 1R is profit |
| 60% | 0.67 : 1 | small winners still pay |
| 70% | 0.43 : 1 | even modest targets work |
Trend-followers happily run 35–40% win rates — they’re wrong most of the time — because their winners are 3R, 5R, sometimes 10R while their losers are always 1R. Their edge was never being right often. It’s being paid enormously on the occasions they are.
The market doesn’t pay you for being right. It pays you for being paid more when you’re right than you lose when you’re wrong.
Why chasing win rate is a trap
Once you understand expectancy, the appeal of a high win rate starts to look like a trap — because the instinct to protect it pushes you towards exactly the behaviours that invert your edge. Cutting winners early feels responsible and caps your R. Widening stops feels patient and balloons your losers. The pursuit of “being right” is, mathematically, the pursuit of going broke slowly.
Where RiskLogged fits
This is the principle behind Edge Discovery: it ranks your setups by what they actually return — expectancy and profit factor — not by how often they win. It’ll show you the 41% win-rate setup that quietly prints money and the comfortable 73% one that bleeds you a little at a time, so you can lean into what pays and cut what merely flatters your stats.
Key takeaways
- Win rate alone is misleading — you can buy a high one with a losing strategy.
- Measure trades in R-multiples (1R = your risk) so everything is comparable.
- Expectancy = (Win% × avg win R) − (Loss% × avg loss R) — the average R per trade.
- At a 50% win rate, anything beyond 1R reward:risk is profit; lower win rates just need bigger winners.
- Chasing win rate pushes you to cut winners and widen losers — the exact opposite of an edge.
Find out which setups actually pay you.
RiskLogged’s Edge Discovery ranks every setup by expectancy, not win rate — so you trade what returns and drop what bleeds. Private beta — Windows + MT5, local-first.
Join the beta waitlist →Educational content only — not financial advice. Past performance and modelled examples don’t guarantee future results. Trading leveraged products such as forex and CFDs carries a high risk of loss and isn’t suitable for everyone.
