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Implied Probability Calculator

Implied Probability

For enthusiasts of betting, understanding the odds is crucial. They aren't just numbers but convey an underlying probability – an indication of the chance of an event's occurrence. This guide dives deep into the concept of `implied probability,` shedding light on how odds can be translated into a comprehensible representation of likelihood.

  • What is Implied Probability?
  • How to Calculate Implied Probability?
  • How to Use the Implied Probability Calculator?
  • Examples of Implied Probability

What is Implied Probability?

Implied probability derives from betting odds and displays the expected probability of a particular event occurring. While the raw odds might appear abstract, converting them to a percentage format makes them more digestible and understandable, providing a clearer picture of an event's likelihood.

How to Calculate Implied Probability?

The calculation differs based on the odds format. Here's a breakdown:

  • Decimal Odds: Implied Probability = 1 / Decimal Odds
  • Fractional Odds: Implied Probability = Denominator / (Denominator + Numerator)
  • American Odds:
    • For positive odds: Implied Probability = 100 / (odds + 100)
    • For negative odds: Implied Probability = -odds / (-odds + 100)

How to Use the Implied Probability Calculator?

Our calculator is intuitive:

  • Select your odds format (Decimal, Fractional, or American).
  • Input the odds.
  • Instantly view the implied probability.

Examples of Implied Probability

Suppose you come across American odds of +200. Entering these into our calculator, you'll discover an implied probability of 33.33%, giving you a clearer idea of the event's likelihood.

Always remember, while odds offer a glimpse into the perceived likelihood, real outcomes can and often do vary. Use this tool to aid your betting decisions, but always gamble responsibly.

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implied probability implied probability formulas implied probability calculator
  • Probability and Discrete Distributions
  • Continuous Distributions and Data Visualization
  • Conditional Probability
  • Bayes Theorem
  • Expected Value
  • Binomial Probability
  • Poisson Probability
  • Geometric Probability
  • Hypergeometric Probability
  • Accuracy
  • Birthday Paradox
  • Chebyshev's Theorem
  • Coin Flip Probability
  • Coin Toss Streak
  • Implied Probability
  • Post-Test Probability
  • Random Number
  • Relative Risk
  • Normal Distribution
  • Chi-Square Distribution
  • F-Distribution
  • Exponential Distribution
  • Histogram
  • Box Plot
  • Benford's Law
  • Central Limit Theorem (CLT)

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