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GrauDT [BETA]

GrauDT [BETA]

A Roblox experience owned by GrauDT.

RacingPTmotorcyclestuntbeta

GrauDT [BETA] is a racing experience created on 2024-12-29. It has accumulated 3,778,560 lifetime visits and 2,492 favorites. The game holds a 59% like percentage. Currently, zero users are playing. The description indicates motorcycle maneuver practice features.

Description (written by the developer; not a statement by this register)

🚨TEMOS OFICINAS!!, pra dar GRAU so escolhe A TECLA DE GRAU 🆕 ATUALIZAÇÃO de hoje: * ⚡ MAPA NOVO * 🛠️ FAVELA NOVA * 💻EX XRE:160: 1300: PACK BRASIL Esse é um jogo para praticar manobras com motos onde você pode empinar Motos !!! Acelerar e freiar : Tecla " W " para acelerar, Tecla "S" para freiar Virar : Tecla "A" e "D" para virar para os lados Comandos no chat CAPS REMOVIDOS MAIS EMBREVE VOLTARA /rh → Remover acessorios

Last updated by the developer 5 Jul 2026, 22:23 UTC.

0
playing (measured 11 Aug 2026, 11:18 UTC)
3,778,560
lifetime visits
59%
liked (349 👍 / 242 👎)
2,490
favourites (0.7 per 1k visits)
29 December 2024
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
11 Aug 2026, 11:180first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Pack Pm
220 R$
De Bigode
200 R$
PACK BRASIL
80 R$
VIP
69 R$
doação
57 R$
doação
20 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

GrauDT · other860,138 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.