![[FINALS!] Clean the World Cup Stadium](https://tr.rbxcdn.com/180DAY-258ec6266b25f8a1ccb0f82bb203f027/256/256/Image/Png/noFilter)
[FINALS!] Clean the World Cup Stadium
A Roblox experience owned by SLOPIFY LIVE.
SimulatorENcleaning simulationsports themeco-op multiplayer
Description (written by the developer; not a statement by this register)
❓chat do we support SPAIN or ARGENTINA!? WORKS ON ALL DEVICES // UP TO 4 PLAYERS 💾 GAME SAVES FOR THE LEADER 🖥️ PC Controls: E or Click: Pick up / Place trash F: Drop trash Scroll: Switch item Right Click: Zoom In 🎮 Controller Controls: RT - Pick up / Place trash B/O - Drop trash LT - Cycle items D-Pad - Abilities ⚽ The world cup stadium is a complete disaster after the Argentina vs Spain match, and trash is everywhere! Grab your gear and help clean up the mess by collecting thousands of cans, cups, flags, and lost items hidden around the entire stadium! 👥 Clean up alone or with friends! 🏁 Race for the fastest cleanup times on the leaderboard! 🔓 Earn upgrades and abilities to make the job easier! 👍 THUMBS UP for UPDATES and a FREE CODE at 1,000 LIKES 👍 [Inspired by "Librarian: Tidy Up the Arcane Library"]
Last updated by the developer 18 Jul 2026, 04:25 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 11 Aug 2026, 14:46 | 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.