Statistics & Probability · Formula v1.0

Expected Value Calculator

Calculate the expected value of a bet or decision from its chance of winning, the amount won and the amount lost.

LAST REVIEWEDSeptember 24, 2026Inputs stay in your browser
Live calculation

Enter your numbers

Calculated result
Expected value per attempt$40
Expected value over 100 attempts$4,000
Sensitivity check

What if chance of winning changes?

-10% input$26
0% input$40
+10% input$54

Answer first

What this calculator tells you

Calculate the expected value of a bet or decision from its chance of winning, the amount won and the amount lost. Find the average result of a repeated gamble before you take it. Formula: Expected value = (chance of winning × amount won) − (chance of losing × amount lost). At the worked-example inputs, the expected value per attempt is $40. Holding every other input steady, moving chance of winning from 36.0% to 44.0% moves the result from $26 to $54.

FreeNo sign-upInputs stay in-browserCSV exportReviewed September 24, 2026

Transparent method

The formula

Expected value = (chance of winning × amount won) − (chance of losing × amount lost)Enter chance of winning in percent, amount won in dollars and amount lost in dollars (40 means 40%).

Find the average result of a repeated gamble before you take it.

Worked example

Expected value per attempt$40
Expected value over 100 attempts$4,000

Example inputs

Chance of winning40.0%
Amount won$250
Amount lost$100

How to interpret the result

Expected value is the average result if you took the same bet many times. A 40 percent chance to win $250 against a 60 percent chance to lose $100 averages +$40 each time, or +$4,000 over a hundred tries. A positive expected value does not mean any one try wins. It means the average wins, if the odds are what you think they are.

At the worked-example inputs the expected value per attempt is $40. It rises with amount won and chance of winning and falls as amount lost increases.

Interpretation boundary

These figures assume the model's conditions hold: independent trials with a fixed chance for the binomial, and a bell-shaped distribution for the normal. Real data that breaks those assumptions will not follow the calculated probability.

Before you rely on it

What to check

Check that the chance and the amounts describe the same event. A win chance from a different game paired with these payoffs gives a number that means nothing.

The common error

Where people go wrong with expected value calculator

Reading a positive expected value as a sure gain. A single attempt can still lose the full amount, and a run of losses can come first.

Sensitivity evidence

How chance of winning changes the expected value per attempt

Holding every other input at the worked-example value, moving chance of winning from 36.0% to 44.0% moves the expected value per attempt from $26 to $54: a spread of $28, or 70% of the worked-example result.

Expected Value Calculator: expected value per attempt and expected value over 100 attempts across a range of chance of winning, every other input held at the worked-example value.
Chance of winningExpected value per attemptExpected value over 100 attempts
36.0%$26$2,600
38.0%$33$3,300
40.0%worked example$40$4,000
42.0%$47$4,700
44.0%$54$5,400

Every input, tested

Which input moves the expected value per attempt most

Of the 3 inputs, amount won moves the expected value per attempt most ($20 across the range tested) and amount lost moves it least ($12).

Expected Value Calculator: expected value per attempt with each input moved on its own, every other input held at the worked-example value.
InputTested fromToExpected value per attempt at each endSwing
Amount won$225$275$30 to $50$20 (50%)
Chance of winning38.0%42.0%$33 to $47$14 (35%)
Amount lost$90$110$46 to $34$12 (30%)

Two variables at once

Expected value per attempt by chance of winning and amount won

Across the grid the expected value per attempt runs from $8.00 to $76. Moving chance of winning from 36.0% to 44.0% shifts it by $28 at the middle column, and moving amount won from $200 to $300 shifts it by $40 at the middle row, so amount won is the bigger lever here.

Expected Value Calculator: expected value per attempt at each combination of chance of winning (rows) and amount won (columns).
Chance of winning \ Amount won$200$250$300
36.0%$8.00$26$44
38.0%$14$33$52
40.0%$20$40$60
42.0%$26$47$68
44.0%$32$54$76

The highlighted cell is the worked example: $40.

Step by step

The worked example, input by input

Worked-example inputs and the results they produce for the expected value calculator.
InputValue usedWhat it means
Chance of winning40.0%Enter the chance of winning used in this calculation.
Amount won$250Enter the amount won used in this calculation.
Amount lost$100Enter the amount lost used in this calculation.
Expected value per attempt$40
Expected value over 100 attempts$4,000

Inputs, definitions and assumptions

Chance of winning

Enter the chance of winning used in this calculation. The prefilled worked-example value is 40.0%.

Amount won

Enter the amount won used in this calculation. The prefilled worked-example value is $250.

Amount lost

Enter the amount lost used in this calculation. The prefilled worked-example value is $100.

How to use this calculator

  1. 1Verify the inputs. Gather chance of winning, amount won and amount lost from your own documents; the prefilled values are examples.
  2. 2Save a baseline. The worked example puts the expected value per attempt at $40. Store your own version of it as Scenario A.
  3. 3Test one change. Start with amount won, the input with the biggest effect here: moving amount won from $225 to $275 takes the expected value per attempt from $30 to $50, a swing of 50% of the worked-example figure.
  4. 4Check the boundary. Read the interpretation boundary above before acting on the result.

People also ask

Frequently asked questions

How do you calculate expected value?

Expected value = (chance of winning × amount won) − (chance of losing × amount lost). Enter chance of winning in percent, amount won in dollars and amount lost in dollars (40 means 40%). At the worked-example inputs the expected value per attempt is $40.

What does the expected value result mean?

Find the average result of a repeated gamble before you take it. At the worked-example inputs the expected value per attempt is $40. It rises with amount won and chance of winning and falls as amount lost increases.

How much does chance of winning change the expected value per attempt?

Holding every other input at the worked-example value, moving chance of winning from 36.0% to 44.0% moves the expected value per attempt from $26 to $54, a spread of $28.

What are the limits of this expected value calculator?

These figures assume the model's conditions hold: independent trials with a fixed chance for the binomial, and a bell-shaped distribution for the normal. Real data that breaks those assumptions will not follow the calculated probability. The tables on this page test chance of winning only from 36.0% to 44.0%; a value outside that range is not tabulated here.

Which input moves the expected value per attempt most in the expected value calculator?

Ranked by how far each moves the expected value per attempt across the range tested: amount won ($20, 50%), chance of winning ($14, 35%) and amount lost ($12, 30%).

How much does amount won matter in the expected value calculator?

The worked example uses $250. With the other inputs left at the worked example, moving amount won from $225 to $275 takes the expected value per attempt from $30 to $50, a swing of 50% of the worked-example figure.

How much does amount lost matter in the expected value calculator?

The worked example uses $100. Holding every other input at its worked-example value, moving amount lost from $90 to $110 takes the expected value per attempt from $46 to $34, a swing of 30% of the worked-example figure.

Which inputs change the expected value over 100 attempts in the expected value calculator?

At the worked-example inputs it is $4,000. Chance of winning takes it from $3,300 to $4,700, amount won takes it from $3,000 to $5,000 and amount lost takes it from $4,600 to $3,400.

Why use median instead of mean?

Mean is pulled toward extreme values. Median is not. A neighborhood where one mansion sits among modest homes has a mean price far above what a typical home costs, while the median reflects the typical home much better. Large gaps between mean and median signal a skewed distribution.

What's the difference between population and sample standard deviation?

Population standard deviation divides by n and is used when your data IS the entire group you care about. Sample standard deviation divides by (n−1) and is used when your data is a subset meant to estimate a larger population: the smaller divisor corrects for the fact that a sample tends to understate true variability.

All statistics & probability questions answered

Sources and evidence

Free Calculators Online is independent and is not affiliated with or endorsed by the source organizations. Educational estimates only.

Background reading

Guides that use this calculator

Definitions

Terms used on this page

Z-score : glossary term
How many standard deviations a value sits from the mean of its distribution. A z-score of 2 means the value is two standard deviations above average.
Confidence interval : glossary term
A range built from sample data. It is likely to contain the true population value at a stated confidence level, commonly 95%.
Combination : glossary term
A selection of items where order does not matter. Choosing 3 people for a committee from a group is a combination problem.
Margin of error : glossary term
The plus-or-minus range added to a sample estimate to build a confidence interval. Sample size, variability and the chosen confidence level drive it.