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Very Bad Nights at The MDinner (UPDATE!)

Very Bad Nights at The MDinner (UPDATE!)

A Roblox experience owned by MCompany.

HorrorENanimatronicsnightshiftsurvival horror

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

Welcome back to your summer job at the MCDinner! After closing for 3 full years, the MCDinner is now back! Curious, you decided to Apply for the nightshift yet again just like you did years ago, unfortunatly the animatronics aren't quite too happy about the last time and they want you dead more than ever, not only that but you'il also have to worry about new foes, do you have what it takes to spend Five Very Bad Nights at the MDinner? Find out now. Credits : Scripting/Gamedesign/Some of the gui: Malito/kpbige Sound Design/GameDesign/SOME of the build/Some of the gui: Ranekatyss Building: Manoz

Last updated by the developer 10 Aug 2026, 20:51 UTC.

0
playing (measured 11 Aug 2026, 01:45 UTC)
2,493
lifetime visits
86%
liked (30 👍 / 5 👎)
84
favourites (33.7 per 1k visits)
20 August 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 We do not publish numbers we have not measured.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
11 Aug 2026, 01:450first reading

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

Badge funnel

You're Hired ! · other1,941 · 0.00% win
Night {1} completed! · progression68 · 0.00% win
Night {2} completed! · progression13 · 0.00% win
Night {3} completed! · progression10 · 0.00% win
Night {4} completed! · progression7 · 0.00% win
Night {5} completed! · progression1 · 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.