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RUN FROM EL GRAN MAJA WORM! (OBBY)

RUN FROM EL GRAN MAJA WORM! (OBBY)

A Roblox experience owned by wifi money..

ObbyENjump scaremonster chaseflooded city

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

⚠️ Warning: This game has jump scares! 🚨 Welcome to RUN FROM EL GRAN MAJA WORM! (Scary Obby) — a massive and terrifying chase through a flooded, collapsing city! 🌊🏙️ A giant underground creature known as El Gran Maja Worm has emerged from the depths, destroying everything in its path… and now it’s coming for YOU. Sirens echo, buildings crumble, and the water keeps rising. 😱 🏃 Run, jump, and dodge deadly obstacles as the colossal worm hunts you across rooftops, broken bridges, and dangerous paths. Stay alert — it’s faster, longer, and deadlier than you expect! Can you survive the chase and escape the destruction before El Gran Maja Worm catches you? 👻🐛 👍 Like and ⭐ Favorite the game if you escaped the monster alive!

Last updated by the developer 20 Jan 2026, 01:05 UTC.

2
playing (measured 10 Aug 2026, 14:36 UTC)
231,475
lifetime visits
62%
liked (69 👍 / 42 👎)
45,427
favourites (196.3 per 1k visits)
19 January 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 We do not publish numbers we have not measured.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
10 Aug 2026, 14:360first reading

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

Badge funnel

You played! · welcome126,785 · 100.0% win
Completed RUN FROM EL GRAN MAJA WORM! · progression5,955 · 13.1% win
El Gran Maja Collector! · collection3,138 · 6.6% 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.