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🔫SHERIFF!

🔫SHERIFF!

A Roblox experience owned by Secret Killers 2.

Social & hangoutENMurder MysterySocial DeductionRoleplay

🔫SHERIFF! is a social-hangout experience created on 2025-02-05. The game has accumulated 23,249,401 lifetime visits and 1,437,924 favorites. Currently, zero players are active. The title holds a 72% like percentage. It is categorized under the social-hangout genre within the Roblox platform.

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

You're either a Murderer, Sheriff, or just an Innocent bystander. Either kill or be killed. Will you survive? 🌈 50,000 Group Members = Free Chroma! 🎮 Available on Desktop, Phone, Tablet, and Console! 👍 ⭐ Like And Favorite The Game For More Updates! ✅ Game Data Is Backed Up Automatically Every 24hrs! Tags: Murder Mystery X, Murder Mystery, Murder Mystery 3, Murder Mystery K, Murder Mystery A, Murder Legends, Murder Blox, Murder Mystery 2, Murder Mystery 4, Murder Mystery 5, Murder Mystery 7, Murder Mystery 8, Murder Mystery 9, Murder Mystery Z, Nik's Murder Mystery, Nik's Murder Mystery

Last updated by the developer 19 Jul 2025, 08:38 UTC.

0
playing (measured 10 Aug 2026, 14:37 UTC)
23,249,401
lifetime visits
72%
liked (6,060 👍 / 2,310 👎)
1,437,879
favourites (61.8 per 1k visits)
5 February 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 We do not publish numbers we have not measured.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
10 Aug 2026, 14:370first reading

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

Badge funnel

Welcome · welcome3,821,688 · 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.