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Pilfering Platforms

Pilfering Platforms

A Roblox experience owned by Nonay.

MinigamesENPvPSurvivalRandom Events

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

Pilfering Platforms is a multiplayer PvP game where you compete with other players on a map that's split into tiles. On every tile there is a random event that can take place; ranging from a slippery wet floor to black holes. The last player standing, wins! ⚠️ Pilfering Platforms is in BETA, current features are not final, expect bugs! 🔧 Shutdown = Update ⚔️ Fight other players on tiles 🌋 Experience random events on different tiles 🏆 Survive and gain as many wins as possible! 💼 We vow to avoid creating purchases that provide an advantage above others

Last updated by the developer 21 Jan 2026, 18:03 UTC.

0
playing (measured 23 Aug 2026, 23:38 UTC)
10,278
lifetime visits
64%
liked (38 👍 / 21 👎)
78
favourites (7.6 per 1k visits)
6 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 We do not publish numbers we have not measured.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
23 Aug 2026, 23:380first reading

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

Monetization — game passes

Double Whatnot Collection
250 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

BETA Tester · welcome4,684 · 0.00% win
Welcome to Pilfering Platforms TV · welcome3,681 · 0.00% win
Yes, I am the real Winston! · other1,284 · 0.00% win
Christmas Day 2024 · other525 · 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.