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Pablo Come Ñam Ñam

Pablo Come Ñam Ñam

A Roblox experience owned by The Momazos diego FanGroup.

HorrorEShorrorescapememe

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

esta es una experiencia inolvidable en la que escapas de pablo Inspired by Murdurr and Piggy. //CREDITS// All of the scripting: Optiplex5 Modeler and builder: Eggns Animations for various skins and the icon: Makkz thumbnails: owen, MissApple, TimeApproach and gabe Also thanks for contributors that gave ideas for skins and maps and people that promoted the game. tags: Pablo, eat, Pablo eats, Asym (wouldnt really consider it an asym but if you want to), Survival, Meme, Momazos, Roblox, You vs homer, Orange the killer, Die of death, Murdurr, Durr, Killer, 2026

Last updated by the developer 13 Aug 2026, 00:53 UTC.

0
playing (measured 15 Aug 2026, 02:19 UTC)
596
lifetime visits
93%
liked (14 👍 / 1 👎)
17
favourites (28.5 per 1k visits)
29 March 2026
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 We do not publish numbers we have not measured.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
15 Aug 2026, 02:190first reading

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

Monetization — game passes

400 bobucs
400 R$
100 bobucs
100 R$
15 bobucs
15 R$
Bobuc
5 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

hola soy pablo que te como ñam ñam · other145 · 100.0% win
One first meal · progression26 · 0.00% win
Find me eggs · collection3 · 0.00% win
Around the clock0 · 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.