Win Loss Ratio Calculator

Win/Loss Ratio = Total Wins ÷ Total Losses. If you have 75 wins and 50 losses, your ratio is 1.50 (or 3:2). If you have 30 wins and 30 losses, your ratio is 1.0 (even record). A ratio above 1.0 means more wins than losses.

It depends entirely on context. In major league baseball, 60% (1.5:1) is excellent. In casual gaming, 60% might be average. In day trading, 50% with a 2:1 reward-to-risk ratio is profitable. In sales, close rates of 20-30% are typical for complex B2B sales. Compare to your specific domain's benchmarks.

Win rate = Wins ÷ Total Games × 100 (a percentage). Win/loss ratio = Wins ÷ Losses (a ratio). With 60 wins and 40 losses: win rate = 60%, win/loss ratio = 1.5. Win rate accounts for total games; ratio only compares wins to losses directly.

At least 30-50 outcomes for basic reliability, 100+ for moderate confidence, and 200+ for high statistical significance. With fewer than 30 games, a few lucky or unlucky results heavily skew the percentage. The larger the sample, the more stable and reliable the win rate becomes.

No. Wins and losses are non-negative numbers, so the ratio is always 0 or positive. A ratio of 0 means zero wins (0/N = 0). With zero losses, the ratio is technically undefined (division by zero) — most systems display it as the number of wins or infinity.

Three common approaches: (1) Exclude ties and calculate only from decisive results. (2) Count each tie as 0.5 wins and 0.5 losses. (3) Use a points system (win=2, tie=1, loss=0). The method depends on your sport/activity's conventions. Specify which method you use for consistency.

It depends on your reward-to-risk ratio. With 1:1 risk-reward, you need 50% win rate to break even. With 2:1 (average win is twice average loss), you only need 33.3%. With 3:1, you need 25%. The formula: Break-even win rate = 1 ÷ (1 + Reward/Risk ratio).

NBA: league average is 50% (41-41), elite teams reach 73% (60-22). NFL: 50% average, elite 75% (12-4). MLB: 50% average, elite 60% (97-65). Tennis grand slam champions often have 80%+ career win rates. Chess grandmasters typically maintain 60-70% against all rated opponents.

Both. Overall win rate gives the big picture, but opponent-specific rates reveal matchup advantages and weaknesses. In sports, you might dominate weaker opponents (85%) but struggle against top teams (35%). This detail is hidden in the overall average (60%).

Professional traders evaluate win rate alongside average win size (R-multiple). The profit factor = (Win Rate × Avg Win) ÷ (Loss Rate × Avg Loss). A profit factor above 1.0 is profitable. Many successful traders have 40-50% win rates but average wins that are 2-3× larger than average losses.

The Kelly Criterion calculates the optimal position size based on your win rate and payoff ratio: Kelly % = Win Rate − (Loss Rate ÷ Payoff Ratio). With 55% win rate and 1.5:1 payoff: Kelly = 0.55 − (0.45/1.5) = 0.25 (bet 25% of bankroll). It maximizes long-term growth rate but requires accurate win rate data.