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Escapa del tsunami por coches

Escapa del tsunami por coches

A Roblox experience owned by Narutitrux Games.

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

🌊🚗 ¡Escapa del tsunami por Coches! 🚗🌊 Prepárate para una experiencia tsunamística 🌊⚡ donde las olas no paran de venir y tu velocidad es hiperlentosa al inicio 🐢💀. 🚗💨 Encuentra coches por el mapa, llévalos a tu base 🏠 y transfórmalos en dinero-exprés 💸✨. Con ese dinero, compra mejoras velocitásticas ⚡🔥 y conviértete en el jugador más rápido. ⚠️ Pero cuidado… El tsunami es cada vez más gigantificador 🌊😱 y solo los más veloces podrán escapar. 🔁 Loop infinito de diversión: 🚗 Coches → 💸 Dinero → ⚡ Velocidad → 🌊 Escapar → 🔄 Repetir 🏆 ¿Alcanzarás la velocimáxima suprema y sobrevivirás al caos? 🔥 ¡Corre, mejora y vive esta aventura tsunamialucinante! 🔥 🛠️ Narutitrux 🛠️ 🙅 No cuenta en los tops 🙅

Last updated by the developer 3 Sept 2026, 17:22 UTC.

0
playing (measured 8 Oct 2026, 00:45 UTC)
688
lifetime visits
100%
liked (4 👍 / 0 👎)
1
favourites (1.5 per 1k visits)
1 April 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 We do not publish numbers we have not measured.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
8 Oct 2026, 00:450first reading

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

Monetization — game passes

PRO PACK
39 R$
V.I.P
29 R$
Starter pack
19 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

Admin Joined · social22 · 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.