Win Rate Calculator

Win rate is a simple calculation: number of wins ÷ total opportunities that reached a final outcome × 100. It's the same percentage formula any percentage calculator runs, part ÷ whole × 100, and some teams call the result close rate or success rate.

The overall win rate uses won + lost + no decision as the whole. The competitive win rate uses won + lost to a competitor, which isolates the head-to-head contests a competitor battlecard program exists to move.

The devil's in the details here, because the denominator is the one choice that changes the answer. HubSpot's sales team (guide updated July 2025) keeps open deals out entirely, describes both ways of handling no-decision deals, and says the takeaway is to stay consistent about which deals are in and which are out. A deal counts only once it's a clear win: signed, and marked closed-won in the CRM. Pick one definition, write it down, and measure every period with it.

Three more outputs come from the same inputs:

• Win/loss ratio: wins ÷ (losses + no-decision deals). 24 wins against 76 non-wins is 0.32.
• Expected wins: open opportunities × overall win rate.
• Expected revenue: expected wins × average deal size.

The trades tab calculates the trading win rate as winning trades ÷ total trades × 100. Breakeven win rate is average loss ÷ (average win + average loss) × 100, the point where win rate × average win equals loss rate × average loss.

Expectancy per trade, the expected value of one trade, is (win rate × average win) − (loss rate × average loss), which combines win probability with the payoff odds. Subtract fees and slippage from the average win and add them to the average loss before you type.

A sales team closes a quarter with 100 finished opportunities: 24 successfully closed, 58 lost to a competitor, and 18 that went quiet with no decision. The overall win rate is 24 ÷ 100 = 24.0%. The competitive win rate is 24 ÷ 82 = 29.3%, so roughly three in ten head-to-head contests went the team's way.

The team carries 40 open opportunities with an average deal size of $18,000. At 24%, that pipeline should produce 9.6 wins and $172,800 in revenue. Lift the current win rate to 30% on the same 40 deals and the projection becomes 12 wins and $216,000, a $43,200 difference from six points of win rate. Don't count your chickens before they hatch, though: the projection assumes open deals close at the rate past ones did.

On the trades tab, a trader logs 45 winning trades out of 100 total trades, with an average win of $150 and an average loss of $100. Breakeven sits at 100 ÷ 250 = 40%, so a 45% win rate clears it by five points. Expectancy works out to (0.45 × 150) − (0.55 × 100) = $12.50 per trade, or $1,250 across the 100 trades: a profitable strategy with a win rate under 50%.

Small samples swing hard. At 20 closed deals, one extra win moves the rate by five points. Even at 100 deals, a Wilson score interval around a 24% win rate runs from about 17% to 33% at 95% confidence, so a precise win rate needs a bigger sample than most teams close in one period. Treat a two-point change as noise until the deal count grows.

The count itself has to be honest. Log every outcome, including the losses nobody enjoys recording, and read each period's rate against what changed in it: a new competitor, a price rise, a new territory.

A blended rate also hides where the losses come from. Split closed deals by lead source, deal size, product line and individual reps to identify the segment with lower win rates. Win rate metrics cut this way surface meaningful trends that one blended figure averages away.

A falling win rate that traces back to one inbound channel is a red flag for lead quality, and the fix usually sits in the lead qualification process upstream of the sales team. If the drop spreads across every rep and every source, sales training, the sales activities logged in the CRM, and the loss reasons in conversation intelligence software recordings are the next places to look.

Win rate also ignores deal value and time. A rep winning 40% of $5,000 deals and a rep winning 20% of $50,000 deals end the quarter far apart: the second brings in five times the revenue per opportunity. Pair the rate with average deal size and sales cycle length before you evaluate anyone's sales performance, since shorter cycles at a slightly lower win rate can close more deals per period.

For trades, a high win rate says nothing about profit by itself. A strategy that wins 70% of the time with an average win of $50 and an average loss of $200 loses money: expectancy is (0.7 × 50) − (0.3 × 200) = −$25 per trade, because its breakeven sits at 80%. Variance also produces losing streaks inside profitable systems. You can't win them all, so judge a trading win rate across a few hundred trades.

Divide the number of wins by the total number of closed opportunities and multiply by 100. For example, 30 wins out of 120 closed deals is 30 ÷ 120 × 100 = 25%, the same calculation the calculator above runs live. Leave open deals out, and decide once if no-decision deals count as losses, then keep that rule every quarter.

It depends on where counting starts. SaaSletter's summary of the Ebsta x Pavilion 2025 GTM Benchmarks puts the average win rate at 19% across 655,000 opportunities. RAIN Group's survey of 472 sellers and sales executives, counting only proposed or quoted deals, found a 47% average, 62% for top performers and close to 75% for the top 7% it calls elite, with only slight variation across industries and company sizes.

A good win rate beats the benchmark built on your own denominator. Those industry benchmarks are a starting point for comparing sales strategies; your own tracking data from the trailing four quarters makes the fairer comparison.

For sales, measured across every opportunity, 40% is roughly double the 19% Ebsta x Pavilion average. Measured on quoted deals only, it matches the 40% RAIN Group recorded for the bottom 80% of sellers. For trading, it depends on payoff: at a 1:1 reward-to-risk ratio the breakeven win rate is 50%, so a 40% win rate loses money, while at 2:1 breakeven drops to 33.3% and 40% turns profitable. A good trading win rate is any rate that clears breakeven after costs.

Six. A 40% winning percentage over 15 games means 15 × 0.40 = 6 wins. Total games include draws, and for standings with ties the NFL's tiebreaking procedures count each tie as one-half win and one-half loss, so a 6-8-1 record works out to (6 + 0.5) ÷ 15 = 43.3%.

Put wins in B2, losses in C2 and no-decision deals in D2, enter =B2/(B2+C2+D2), and format the cell as a percentage. For a trading log with one row per trade and profit in column C, =COUNTIF(C2:C500,">0")/COUNT(C2:C500) returns the win rate across every logged trade, counting as winning trades every row with a profit above zero.

Drop this on any page and it renders the calculator above, live, no login or install required. It's free to use; the only ask is leaving the credit link in place.