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Be a BIG BACK! 🍔🤤

Be a BIG BACK! 🍔🤤

A Roblox experience owned by Be a BIG BACK.

SimulatorENeating simulatorgrowth mechanictrolling

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

🍔Get FAT & EAT others around the map! ✨Purchase upgrades & troll people! 👍 LIKE and JOIN the group to support more updates! 👍 🔥Join our group to unlock Auto Eat: https://www.roblox.com/communities/35511672 🌟Tags: Get FAT, Be FAT, Get Fat And Roll Race, Eating Simulator, Blob Simulator, Eat Blobs to Grow MASSIVE, Eat Slimes to Grow HUGE, Big Back, Be a Big Back

Last updated by the developer 16 Feb 2025, 01:02 UTC.

0
playing (measured 11 Aug 2026, 04:01 UTC)
92,085
lifetime visits
81%
liked (490 👍 / 118 👎)
9,549
favourites (103.7 per 1k visits)
18 January 2025
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 We do not publish numbers we have not measured.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, 04:010first reading

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

Monetization — game passes

Admin [OP]
1,999 R$
[OP] Black Hole
1,499 R$
x2 Size
349 R$
Magnet
249 R$
x2 Gems
249 R$
+10,000 Starting Size
249 R$
+5,000 Starting Size
149 R$
+1,000 Starting Size
49 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 · welcome73,668 · 0.00% win
10K Size · progression33,558 · 0.00% win
50K Size · other13,752 · 0.00% win
250K Size · other4,020 · 0.00% win
1M Size · progression775 · 0.00% win
500K Size · progression0 · 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.