public static class Random

This static class provides several easy game-oriented ways of generating pseudorandom numbers.

The generator is an Xorshift 128 algorithm, based on the paper Xorshift RNGs by George Marsaglia. It is statically initialized with a high-entropy seed from the operating system, and stored in native memory where it will survive domain reloads. This means that the generator is seeded exactly once on process start, and after that is left entirely under script control.

For more details on the seed, including how to manage it yourself, see Random.InitState. To learn how to save and restore the state of Random, see Random.state.

This class has the same name as the .NET Framework class System.Random and serves a similar purpose, but differs in some key ways:

is a static class, and so its state is globally shared. Getting random numbers is easy, because there is no need to an instance and manage its storage. However, static state is problematic when working with threads or jobs (the generator will error if used outside the main thread), or if multiple independent random number generators are required. In those cases, managing instances of would be a better option.

All properties and methods in that work with or derive work from float-based randomness (for example Random.value or Random.ColorHSV) will use an inclusive upper bound. This means that it is possible, though as rare as any other given value, for the max to be randomly returned. In contrast, has an exclusive maximum, and will never return the maximum value, but only a number slightly below it.

Methods in have been measured to be between 20% and 40% faster than their equivalents in .

Because the classes share the name , it can be easy to get a CS0104 "ambiguous reference" compiler error if the and namespaces are both brought in via . To disambiguate, either use an alias , fully-qualify the typename e.g. , or eliminate the and fully-qualify or alias types from that namespace instead.

int

[minInclusive..maxExclusive)