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Better Fast Food? πŸ”πŸŸ

Better Fast Food? πŸ”πŸŸ

A Roblox experience owned by Blue & Red Games Official.

Fighting & PvPENfood debatepvp arenaquiz

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

Which food would you rather eat Make your choice then fight for it! 🍟Choose your favorite fast food! βš”οΈ Fight to defend your choice! πŸ‘‘LIKE the game + JOIN the group to get the limited time "Excalibur Sword" for FREE! 🌟Turn on notifications to be there when new updates drop! Tags: Quiz, Better Food, Better, Pick A Food, Food, Fast Food, Sword, PvP, Pick a Side, Fight, Arena, Red vs Blue, Battle

Last updated by the developer 23 Mar 2026, 23:24 UTC.

0
playing (measured 10 Aug 2026, 15:32 UTC)
8,114
lifetime visits
87%
liked (20 πŸ‘ / 3 πŸ‘Ž)
822
favourites (101.3 per 1k visits)
18 October 2025
created (per Roblox)

Play on Roblox β†’

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 β€” so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log β€” every players count we have recorded
Measured (UTC)PlayersChange
10 Aug 2026, 15:320first reading

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

Monetization β€” game passes

Better Sword?
2,999 R$
Lava Sword
997 R$
50% Revive Chance
697 R$
1x1x1x1 Sword
499 R$
Demon Slayer
397 R$
Divine Sword
397 R$
Valentine Sword
379 R$
Sammy Pack
347 R$
Jandel Pack
347 R$
Rainbow Periastron
297 R$
VIP
297 R$
Infinite Requests
247 R$
Glitch Sword
247 R$
2x Coins
149 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! Β· welcome6,623 Β· 0.00% win

How many players have ever earned each badge β€” 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.