Start here · Essential guide
Expected Value in Games: What the Average Outcome Tells You
Learn what expected value means, how to calculate it for simple game choices, and why the long-run average is a useful guide but never a prediction.
Applied Math
Averages, spread and what they say about repeated play.
Start here · Essential guide
Learn what expected value means, how to calculate it for simple game choices, and why the long-run average is a useful guide but never a prediction.
Multiply hit chance by damage to compare attacks in tabletop combat, with worked d20 examples covering crits, multiple attacks and advantage.
See how skewed payouts, rare jackpots and ignored limits make the average outcome a poor description of what players actually experience.
Compare swingy and steady game designs: how variance shapes tension, skill expression and replay, and which kinds of players tend to enjoy each style.
Why the typical result in a game can differ from the average. Mean and median explained with drop-rate and loot examples that include checked numbers.
Understand the chance of running out of resources in games with random swings, and how stake size, spread and starting reserves shape that risk.
A plain-language look at how long-run frequencies settle toward true probabilities, what that does and does not promise, and common misreadings.
Use dice and dice sums to see how variance and standard deviation measure spread around the average, with every step of the arithmetic shown.
Learn how to weight outcomes by probability to value a random reward such as a loot box or card pack, and how to compare that value with its price.
Why a single evening of play can stray far from expected value: small samples, normal streaks and the numbers that show how much wandering is typical.
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