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[SOON!!!⏳] Escape Tsunami for Pizzarot!

[SOON!!!⏳] Escape Tsunami for Pizzarot!

A Roblox experience owned by ProBlox Studio’s.

TycoonENtsunami survivalidle/tycoon hybridpizzarot theme

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

Welcome to Escape Tsunami For Pizzarot!🍕 Run fast and grab Pizzarots!🏃‍♂️ Avoid tsunamis when they come!🌊 Stay alive and collect many Pizzarots!⚡️ Upgrade your Pizzarots and get more money!💰 Upgrade your base to unlock more slots and place extra Pizzarots!👌 Don't Forget Your Pizzarots Earn Offline!😴 Escape Tsunami For Pizzarot is Bought To You By ProBlox and Qwerty | ProBlox Studios👌

Last updated by the developer 3 Aug 2026, 03:59 UTC.

0
playing (measured 16 Aug 2026, 09:06 UTC)
766
lifetime visits
71%
liked (12 👍 / 5 👎)
8
favourites (10.4 per 1k visits)
26 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 We do not publish numbers we have not measured.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
16 Aug 2026, 09:060first reading

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

Monetization — game passes

VIP PLUS!
500 R$
SUPER SPEED BOOST!
219 R$
SPEED BOOST!
129 R$
VIP!
129 R$
Oooo A Pizza
100 R$
OG PACK!
99 R$
PRO PACK!
49 R$
STARTER PACK!
30 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

WELCOME!!!🍕 · welcome74 · 0.00% win
1st MILLION! · progression34 · 0.00% win
1st BILLION! · progression23 · 0.00% win
1st TRILLION! · collection16 · 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.