Math

Free Expected Value Calculator

Average outcome of a probabilistic bet or event, over the long run.

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Inputs

%
%
%

Result

Expected value

12.0000

Favorable on average

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Short answer

Average outcome of a probabilistic bet or event, over the long run.

What is the Expected Value Calculator?

Average outcome of a probabilistic bet or event, over the long run.

How does the Expected Value Calculator work?

Enter the inputs above and read the result.

Formula

EV = Σ(value × probability)

Variables

  • valuePayoff of each outcome

Explanation

Expected value is the long-run average result if the bet or event were repeated many times.

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            Related concepts

            The Expected Value Calculator sits inside the Math Calculators hub, in the statistics & probability cluster. Describing data and quantifying uncertainty. Understanding the terms below makes the output easier to interpret and easier to compare against neighbouring measures.

            distributiondispersionsignificancesamplepopulationexpected value

            Practical use cases and industry applications

            Understanding Expected Value

            Average outcome of a probabilistic bet or event, over the long run. Within math calculators, expected value belongs to the statistics & probability cluster, where it shares terminology and assumptions with closely related tools.

            Learning how expected value is calculated

            Expected value is the long-run average result if the bet or event were repeated many times. Working through the variables one at a time — value — makes the result reproducible by hand and easier to sanity-check.

            Using expected value to make a decision

            Because outputs depend on the assumptions you enter, run more than one scenario before committing to a figure.

            How expected value compares with related measures

            distribution, dispersion, significance, sample all describe adjacent aspects of statistics & probability. Comparing this calculator's output against those measures — using the related tools listed on this page — prevents a single metric from being read in isolation.

            Frequently asked questions

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