Brainrot Training X
A Roblox experience owned by Habit Games!.
SimulatorENbrainrot memeclicker simulatorracing
Brainrot Training X is a simulator experience created on 2025-08-01. It has accumulated 1,540,356 lifetime visits and 119,396 favorites. Currently, one user is playing. The experience holds a 97% like percentage. It features racing, character unlocking, and upgrade mechanics.
Description (written by the developer; not a statement by this register)
Welcome to Brainrot Training! Enter the world of racing and unlocking new brainrot characters like Tung Tung Sahur and Tralalero! Reach the finish line in under 2 minutes and earn rewards! 🎁 Use Code "welcome" for free items! 🖱️ Train to gain race power! ⭐ Upgrade and rebirth to increase power! 🍲 Collect boosts from the world! 🖱️ Tap to grow stronger 👊CRAFT and upgrade equipment to gain boosts! ⭐COLLECT and discover 50+ Pets! 🌎 EXPLORE new worlds! Battle enemies and click fast to gain power in this Brainrot Trainer which combines clicker, simulator, and race features! Race the world and create your own Adventure while you get stronger! Updates every week! Premium players get +20% gems +10% luck! 👍 CODE AT 1000 LIKES! ❤️❤️
Last updated by the developer 26 May 2026, 19:37 UTC.
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 We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 14:01 | 5 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
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
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.