+1 Size Eat Slime To Grow
A Roblox experience owned by C Gaming Studio.
SimulatorENevolutionarena battleskill progression
+1 Size Eat Slime To Grow is a simulator experience created on 2024-09-26. The game has accumulated 1,710,348 lifetime visits and 778 favorites. Currently, 0 players are active. The title holds a 70% like percentage. It supports PC, mobile, and controller platforms. Players eat others to grow, gain money, and unlock skills.
Description (written by the developer; not a statement by this register)
- Use !report to report exploiter , !reportbug to report game bug ⚠️ Game still on Beta so you may occur some bug , kindly report ingame if you met one ⚠️ 🎮 Supported PC , Mobile , Controller 🎮 ⭐ Join Group For 1500+ Size ⭐ ⭐ Premium Player Gain 50% more EXP ⭐ 👑Eat other player to become bigger , gain money and unlock new skills and skins! 👑Can you become the strongest among the arena ? ⚡️ Current Skills ( More Soon ) : - Lightning Strike > Storm Strike - Blade Cyclone > Blade Tempest - Quick Dash > Phantom Dash - Meteor Shower > Eternal Shower - Curse Technique > Hollow Technique 👍 Be sure to like and favorite this game if you enjoyed it! ⭐
Last updated by the developer 9 Jul 2026, 10:55 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 We do not publish numbers we have not measured.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, 16:15 | 0 | 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.