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SLENDY_TUBBIES - The Infectious Roleplay

SLENDY_TUBBIES - The Infectious Roleplay

A Roblox experience owned by GGB Productions.

RoleplayENhorrorroleplayslendytubbies

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

Hello And Welcome To SLENDY_TUBBIES - The Infectious Roleplay! -------------------------------------------------- In this game you can become Characters from the "Slendytubbies" Franchise! You can also wonder in Different Maps and find Secret Badges! They are well hidden, But you will be well rewarded as well. So, You will Fight against the Infection... Or join the Infection? -------------------------------------------------- "Slendytubbies" By: Zeoworks!

Last updated by the developer 24 Nov 2025, 23:16 UTC.

0
playing (measured 11 Aug 2026, 04:48 UTC)
659
lifetime visits
67%
liked (2 👍 / 1 👎)
8
favourites (12.1 per 1k visits)
24 October 2023
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 We do not publish numbers we have not measured.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
11 Aug 2026, 04:480first reading

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

Badge funnel

Played For The First Time · welcome228 · 0.00% win
A Regretful Decision. · progression25 · 0.00% win
Sawed But Lived. · progression14 · 0.00% win
Infectious Obsession... · other11 · 0.00% win
A Infectious Christmas! · other10 · 0.00% win
Starving Brother... · progression9 · 0.00% win
Deserted Disease. · progression8 · 0.00% win
Beheaded But Armed. · progression4 · 0.00% win
A Infectious Halloween! · other4 · 0.00% win
A Jolly Yeti! · collection3 · 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.