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🌲 The Scribbler Returns [Alpha]

🌲 The Scribbler Returns [Alpha]

A Roblox experience owned by Hectic ROBLOX.

AdventureENcomedyadventuremultiplayer

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

🧙 Welcome to our comedy game 'The Scribbler Returns!' 🧙 Make your way through the episodes with your friends to find out more about the varying natures of characters, missions and objectives to find out what on earth is going on! 📢Notice - Make sure your audio is on for the best experience ❗❗ Disclaimers ❗❗ - A lot of music is either royalty free or AI generated/enhanced

Last updated by the developer 26 Aug 2026, 01:41 UTC.

0
playing (measured 27 Aug 2026, 02:08 UTC)
3,145
lifetime visits
65%
liked (20 👍 / 11 👎)
159
favourites (50.6 per 1k visits)
8 April 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 We do not publish numbers we have not measured.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
27 Aug 2026, 02:080first reading

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

Monetization — game passes

Multiple Episodes
100 R$
Up To 20 Players!
100 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

You defeated the scribbler! · progression30 · 0.00% win
You played episode 2, 'Factory Felons.' · progression5 · 0.00% win
You played episode 4, 'Mr Wonder's Weird WC' · progression1 · 0.00% win
You played episode 3, 'An Encounter With SW.' · progression1 · 0.00% win
You failed to defeat the scribbler! · other0 · 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.