This win rate calculator turns wins and losses into a percentage, handles ties the way you choose, and tells you how many wins in a row you need to reach a target rate. A second tab weights sales deals by value and a third gives the breakeven win rate for traders. It runs in your browser.
Win rate calculator
Pick a tab and type your numbers; the result updates as you go.
60.0%
win rate from 12 wins and 8 losses (20 games)
| Win-loss ratio | 1.50 |
| Loss rate | 40.0% |
| 95% range for the true rate (Wilson) | 38.7% to 78.1% |
30.0%
win rate by count: 9 won out of 30 closed deals
| Win rate by value | 24.3% |
| Average won deal | $15,000 |
| Average lost deal | $20,000 |
| 95% range for the count rate (Wilson) | 16.7% to 47.9% |
33.3%
breakeven win rate at a reward-to-risk ratio of 2.00
| Reward-to-risk ratio (R) | 2.00 |
| Expectancy per trade | $52.50 |
| Kelly fraction (full) | 17.5% |
Nothing you type is stored or sent anywhere. The calculator runs in your browser.
How to use the win rate calculator
Use the first tab for anything with a win and a loss: matches, games, bids, interviews. Type wins and losses, add ties if your game has them, and set a target rate to see how long a winning streak you need. The second tab is for a sales team: closed-won and closed-lost deals for one period, plus their value, giving the win rate by count and by value. The third tab is for traders, where a win rate means nothing until you know the average win against the average loss. Copy summary puts a one-line version on your clipboard; Reset restores the example numbers.
Win rate formula: how the calculator works
Every line in the tool comes from one of these sums.
- Win rate = wins ÷ (wins + losses) × 100. A tie is left out by default. "Half a win" adds 0.5 to the wins and 1 to the games, the chess convention. "A loss" adds 1 to the games only.
- Win-loss ratio = wins ÷ losses. 12 wins and 8 losses is a 60% win rate but a 1.50 ratio.
- Wins in a row to reach a target T (as a fraction): the smallest whole number x where (wins + x) ÷ (games + x) ≥ T, which rearranges to x ≥ (T × games − wins) ÷ (1 − T).
- 95% range uses the Wilson score interval, the method the NIST Engineering Statistics Handbook recommends for a proportion at any sample size. It answers "given this many games, how far could my true rate be from the one I see?" With 20 games the range is wide; with 500 it is narrow.
- Win rate by value = value won ÷ (value won + value lost) × 100. Winning small deals and losing big ones pushes this below the count rate.
- Opportunities needed = target wins ÷ win rate, rounded up.
- Breakeven win rate = average loss ÷ (average win + average loss), the same as 1 ÷ (1 + R) where R is the reward-to-risk ratio. At R = 2 you break even at 33.3%; at R = 0.5 you need 66.7%.
- Expectancy per trade = win rate × average win − (1 − win rate) × average loss.
- Kelly fraction = W − (1 − W) ÷ R, from Kelly's 1956 paper in the Bell System Technical Journal: the stake that maximises long-run growth if your inputs are exact. They never are, so people who use it bet a fraction of it. The tool shows the full figure; that is not advice to risk it.
Worked example with the arithmetic
Example figures, not a real team. A rep closes 12 deals and loses 8 in a quarter. Win rate = 12 ÷ 20 = 60.0%. Win-loss ratio = 12 ÷ 8 = 1.50. Her manager wants 65%. Streak formula: x ≥ (0.65 × 20 − 12) ÷ 0.35 = 2.86, so 3 straight wins: 15 ÷ 23 = 65.2%.
The 95% range shows that 20 deals is a small sample. With z = 1.96, n = 20 and p = 0.60: centre = 0.60 + 3.8416 ÷ 40 = 0.6960; half-width = 1.96 × √(0.24 ÷ 20 + 3.8416 ÷ 1,600) = 0.2352; divisor = 1 + 3.8416 ÷ 20 = 1.1921. Lower = (0.6960 − 0.2352) ÷ 1.1921 = 38.7%; upper = (0.6960 + 0.2352) ÷ 1.1921 = 78.1%. One quarter is not enough to call her a 60% closer.
Sales tab: the team won 9 deals worth $135,000 and lost 21 worth $420,000. Count rate = 9 ÷ 30 = 30.0%. Value rate = 135,000 ÷ 555,000 = 24.3%. Average won deal $15,000, average lost deal $20,000: the team is losing the larger deals. To win 12 next quarter at 30% it needs 12 ÷ 0.30 = 40 closed opportunities, the number to take into the leads-needed calculation.
Trading tab: a 45% win rate, average win $300, average loss $150 gives R = 2.00. Breakeven = 150 ÷ 450 = 33.3%. Expectancy = 0.45 × 300 − 0.55 × 150 = $52.50 per trade. Kelly = 0.45 − 0.55 ÷ 2 = 17.5% at full Kelly, far more than most people would risk on one position.
What a good win rate looks like, and what to do next
There is no universal benchmark. A win rate only means something against the same definition, period length and funnel stage, so compare with your own previous period, not a vendor's blog. Three checks before you react:
- Denominator. Closed-won ÷ (closed-won + closed-lost) is the standard sales definition. Dividing by every opportunity created lets open deals drag the rate down.
- Sample size. If the 95% range spans 30 points, a 5-point move between quarters is noise. Pool two or three periods before you change a process.
- Value. A count rate that rises while the value rate falls usually means the team is picking off small, easy deals. Look at where the large deals were lost.
If the rate is lower than you want, the fix is rarely "close harder". It is usually earlier in the funnel: better-qualified prospects and fewer deals that were never going to close. The cost per lead calculator shows what each channel costs, the CAC calculator turns win rate and deal size into acquisition cost and payback, and the cold email reply rate calculator covers the top of the funnel. 12 B2B lead generation strategies sets out which ones fit which deal size.
Win rate stuck because the list is wrong? Our Find Customers tools give you verified decision-maker contacts in the companies that match your best-won deals, so the opportunities you work are the ones you can close.
FAQ
How do you calculate win rate?
Divide the number of wins by the total number of games or deals, then multiply by 100. Twelve wins out of twenty games is 12 ÷ 20 × 100 = 60%. Ties are left out unless your league counts them as half a win, in which case add 0.5 to the wins and 1 to the games for each tie.
What is the difference between win rate and win-loss ratio?
Win rate is wins divided by all games, as a percentage. Win-loss ratio is wins divided by losses only. Twelve wins and eight losses is a 60% win rate and a 1.50 ratio. A ratio of 1.00 means a 50% win rate; 3.00 means 75%. Both describe the same record, but the ratio grows fast as losses shrink.
How many wins in a row do I need to reach a target win rate?
Use x = (target × games − wins) ÷ (1 − target), with the target as a fraction, and round up. At 12 wins from 20 games, reaching 65% needs (0.65 × 20 − 12) ÷ 0.35 = 2.86, so three straight wins. The nearer the target is to 100%, the smaller (1 − target) becomes and the longer the streak you need.
What is a good sales win rate?
It depends on deal size, market and how you define the denominator, so compare against your own earlier periods rather than a published average. Use closed-won divided by closed-won plus closed-lost, check the rate by value as well as by count, and treat a change as real only when it exceeds the 95% range the calculator shows.
What is a breakeven win rate in trading?
It is the win rate at which average gains exactly cover average losses: average loss ÷ (average win + average loss). If your winners are twice your losers, you break even at 33.3%; if they are the same size, at 50%; if your losers are twice your winners, you need 66.7%. Above that line your expectancy per trade is positive.
Does the calculator store my numbers?
No. It is plain JavaScript running in your browser tab. Nothing is sent to a server or saved, and reloading the page brings back the example figures. To keep a result, use Copy summary and paste it into your notes.
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