Classic randomizer videos often show a Kanto game overflowing with monsters from every later generation. That raises a natural question: is this just visual chaos, or is there a logic behind how different generations are mixed? In practice, most tools follow a few predictable patterns that keep runs wild but still playable.
At the simplest level, a randomizer replaces each encounter table with a pool of candidate species. Many tools let you decide whether that pool pulls from a single region, multiple generations, or the entire National Pokédex. Some also offer balance options—only swapping early routes with basic-stage Pokémon, for example—so you do not run into a level 3 legendary every time you step into the grass.
Things get more interesting when the randomizer respects evolution lines and types. For instance, it might guarantee that if you find a random Ralts, you can still obtain a Gardevoir or Gallade later, or that trainers using mono-type teams stay roughly on-theme. This is where multi-generation support shines: mixing regional variants and cross-gen evolutions makes the world feel fresh without completely abandoning structure.
PokeSuite leans into this philosophy by giving you fine-grained control over which Pokémon can appear in your own generators. On the home page and in tools like the wheel, you can filter by generation, region, or type before rolling. Instead of a single chaotic “all gens” mode, you can create curated pools—only Hisuian forms, only Pokémon from your childhood generation, or only fully evolved threats for late game challenges.
The bottom line is that good randomizers absolutely use different generations, but they do so with guardrails. By controlling which species are allowed and how they scale, they keep playthroughs surprising without turning every route into pure nonsense. The more knobs a tool gives you to tune that experience, the easier it is to design runs that feel like your own personal remix of the series.