The GOAT is a basketball career game built for the browser, inspired by the tradition of text-based career simulators, especially the classic Brazilian soccer game The Fenomeno. The question that drives the game is simple: with pieces of the greatest legends of the court, what career would you build?
You steal attributes from NBA legends in a draft where every choice costs you something, then live through up to two decades of simulated seasons in a 30-team league with awards, trades and playoffs. At the end you get a verdict on your legacy.
It is free and has no sign-up: open it, play it, and your save stays in your browser. It is light enough to run on any phone, with no download. It exists in Portuguese and English, switchable at any time. And it uses no real images: legend names appear as historical reference, and all visual identity is original illustration.
The GOAT's entire simulation is deterministic: every career is born from a random seed, and every roll in the game (draft, injuries, results, awards) derives from it. That means your save doesn't store thousands of numbers: it stores the seed and your decisions, and rebuilds the whole career on load. It's the same technique classic roguelikes use, and it's what keeps the game light enough to run on any phone.
The simulated league has 30 fictional teams with generated rosters, and each season runs game by game: regular season, individual awards, playoffs and roster evolution in the offseason. The performance formulas and the weight of each achievement in the final verdict were calibrated against real historical distributions, so an MVP season is as rare in the game as it is in real life.
Legend names appear as historical reference, the same way they appear in an almanac or a podcast debate. NBA photos, logos and trademarks belong to their owners and are not used; all of the game's visual identity is original illustration.
The GOAT is developed independently by Alvaro Rumpel, a Brazilian developer, as a solo project: code, design and calibration. New modes, career events and simulation improvements ship in frequent updates.
Suggestions, bugs and ideas are welcome: [email protected].