Game Theory & Decision
Basic

Expected Value

Probability-weighted average outcome of a decision.

Formula

EV=∑ipixiEV = \sum_i p_i x_i

Variables

EVExpected value
p_iProbability of outcome i
x_iPayoff i

Example

50% win $100, 50% lose $40: EV = $30

How it works

Expected value tells you the long-run average result of a random choice if you could repeat it many times under the same conditions. It works by multiplying each possible outcome by how likely it is, then adding those contributions together, so unlikely outcomes count less than common ones. This gives a single number that summarizes the average payoff or cost of a risky decision.

When to use it

Use expected value when comparing games, bets, business decisions, or any situation with uncertain outcomes and known probabilities. It is especially useful for deciding whether an option is favorable on average, even if individual results can vary.

Worked example, step by step

A game pays $20 with probability 0.3, $5 with probability 0.5, and $0 with probability 0.2. EV = (0.3)(20) + (0.5)(5) + (0.2)(0) EV = 6 + 2.5 + 0 EV = 8.5 Expected value = $8.50 per play

Common mistakes to avoid

  • Forgetting to include every possible outcome in the sum
  • Using percentages as if they were whole numbers instead of decimals or fractions
  • Adding the payoffs without weighting them by their probabilities

Did You Know?

Rational players choose the option with the highest expected value — the foundation of decision theory.

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Reviewed & maintained by the FormulaWon editorial teamLast reviewed September 2026