Instantly convert between decimal, fractional, and American (moneyline) odds. Calculate implied probability, expected return, and visualize betting value.
| Decimal odds | 2.5000 |
| Fractional odds | 3/2 |
| American odds | +150 |
| Break-even win rate | 40.00% |
Odds represent the likelihood of an event and determine potential winnings. This calculator uses rigorous mathematical transformations based on implied probability — the inverse of decimal odds. For decimal odds D, implied probability = 1/D × 100%. Fractional odds a/b convert to decimal as (a/b)+1. American odds: positive (e.g., +200) → decimal = (odds/100)+1; negative (e.g., -150) → decimal = (100/|odds|)+1. All conversions are bijective and preserve the underlying probability model.
Professional bettors constantly switch between odds formats to find arbitrage opportunities or compare markets across different bookmakers. Converting to implied probability reveals the bookmaker’s margin (overround). A true probability of 50% corresponds to decimal odds 2.00. If a bookmaker offers 1.90 on both sides of a coin toss, the implied probabilities sum to 105.26% → 5.26% house edge. Our tool instantly computes the break‑even rate, empowering data-driven decisions. Note: The margin (overround) is only defined for a full set of mutually exclusive outcomes; for a single odds value, it is not applicable.
1/1.91 ≈ 52.36% each. Sum = 104.72% → margin = 4.72%. This calculator does not compute margin from a single odd, but the concept helps you evaluate market efficiency.
Suppose you estimate a tennis player has a 60% chance to win. The bookmaker offers decimal odds of 1.80. Implied probability = 1/1.80 = 55.6%. Since your estimated probability (60%) > implied probability (55.6%), the bet has positive expected value: EV = (0.60 × 1.80) – 1 = +0.08 (8% edge). Our calculator helps you instantly assess value by showing the break-even rate and comparing it to your own projection.
Odds calculators are used by sports analysts, quantitative traders, casino risk managers, and casual bettors. In finance, similar probability conversion methods apply to binary options and prediction markets. Academic researchers use implied probability to extract market expectations for political events, economic indicators, and climate outcomes. This tool aligns with rigorous mathematical standards documented in "The Theory of Probability" by Harold J. Larson and "Sports Betting: A Math Primer".