Calciro

Pokémon Shiny Probability by Number of Encounters

Calculate the chance of at least one shiny after a hunt and understand 50%, 90%, 95%, and 99% confidence targets.

Related Calculators

Probability across a hunt

Let `p` be the effective chance per encounter and `n` the number of independent encounters. The chance of finding no shiny is `(1-p)^n`. Therefore:

`P(at least one shiny) = 1 - (1-p)^n`

The Pokemon Shiny Probability Calculator performs this calculation and also estimates attempts for common confidence targets.

Fifty percent is not the denominator

The number of attempts needed for a 50% chance is lower than the one-in denominator. The denominator corresponds to an expected count of one success, but the probability of at least one success at that point is only about 63.2% for a rare independent event.

Ninety-nine percent is not certainty

Even a 99% result leaves a 1% modeled chance of no shiny. Probability statements describe many hypothetical hunts; they do not promise an outcome for one player.

Expected shinies versus chance of one

Expected value can equal one while the hunt still has zero shinies. Expected value averages outcomes and should not be interpreted as a guaranteed count.

Check independence

Some games create batches of spawns, reroll one generated Pokémon, use chains, or modify encounter pools. Use this model only when the selected attempts can reasonably be treated as independent with the entered effective probability.

Related Guides

Frequently Asked Questions

What chance do I have at the one-in denominator?
For a rare independent event, the chance is approximately 63.2%, not 100%.
What does expected shinies mean?
It is encounters multiplied by per-encounter probability, an average across many hypothetical hunts.
Why round target attempts up?
A fraction of an encounter cannot be completed, so the first whole number reaching the target is used.

Last updated 7/20/2026