Roblox RegisterIndependent record of Roblox groups · not affiliated with Roblox Corporation
Chop & Clock!

Chop & Clock!

A Roblox experience owned by The Colorful Accelerators.

SimulatorENcookingrestaurantjob simulator

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

🌟 Welcome to Chop & Clock! ⏰🔪 Get ready to start your first-ever job as a chef 👨‍🍳👩‍🍳 in a fabulous restaurant located in the heart of Ukraine's most beautiful city, Lviv! 🇺🇦🏙️ 🍽️ Your mission? Serve up delicious dishes 🍲 and refreshing drinks 🥤 to satisfy hungry customers. But watch out – there's a twist! Sometimes, a special challenge will pop up: the one and only rule... Can you conquer it? 🔥⚡ This fun-filled game is part of Roblox Unite 2024 Game Jam 🎮✨. Shoutout to the amazing team: 🎨 @JuanGamerPlayz_RBLX – Art Director 💻 @crazycat2789 – Programmer 🎥 @RealTheBobucksMan – Trailer Producer 💃 @AamTum – Animator 🛠️ @Mihnealihnea – 3D Modeler Get ready to chop, clock, and conquer the kitchen! 👨‍🍳🔪

Last updated by the developer 9 Feb 2025, 17:11 UTC.

0
playing (measured 19 Aug 2026, 23:06 UTC)
205
lifetime visits
63%
liked (5 👍 / 3 👎)
1
favourites (4.9 per 1k visits)
18 October 2024
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 We do not publish numbers we have not measured.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
19 Aug 2026, 23:060first reading

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

Badge funnel

Welcome · welcome2 · 0.00% win
Master of Challenges · progression0 · 0.00% win
First Order · other0 · 0.00% win
Travelling Abroad · other0 · 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.