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[19] badges on platforms (CHRISTMAS)

[19] badges on platforms (CHRISTMAS)

A Roblox experience owned by epik creationz.

PuzzleENpuzzleplatformerbadge hunting

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

badges on platforms (BOP) is a puzzle game where you try to find as many badges as possible on this single platform. you can also discover variations of that platform containing different badges. some badges will be easy to obtain, but some will be very difficult. (if you die you rejoin) the difficulty will scale up from tier 1 to tier 999. this game is in beta so expect some bugs, rejoin if needed! inspired by secret universe and the easiest neat ever!

Last updated by the developer 9 Jan 2026, 23:42 UTC.

0
playing (measured 18 Aug 2026, 20:04 UTC)
187
lifetime visits
100%
liked (1 👍 / 0 👎)
2
favourites (10.7 per 1k visits)
19 November 2025
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 We do not publish numbers we have not measured.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
18 Aug 2026, 20:040first reading

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

Badge funnel

join · welcome15 · 0.00% win
die · other14 · 0.00% win
colorful! · secret12 · 0.00% win
ball · other12 · 0.00% win
chezburger · collection11 · 0.00% win
dance · other10 · 0.00% win
the block · welcome10 · 0.00% win
gullible · other10 · 0.00% win
the edge · other7 · 0.00% win
saul · other6 · 0.00% win
good job · other6 · 0.00% win
GUI · other5 · 0.00% win
key smash · other4 · 0.00% win
sleigh · collection3 · 0.00% win
merry christmas · other3 · 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.