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BAD| 1988 USA

BAD| 1988 USA

A Roblox experience owned by MJ’s Bad Tour.

RoleplayENMichael JacksonConcert SimulationRoleplay

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

Welcome to the MJ’s Bad Tour 1988 – Step into the spotlight and relive Michael Jackson’s legendary Bad Tour of 1988. From the roaring crowds at Wembley to the iconic black‑and‑silver outfits, this game brings the energy, style, and magic of MJ’s greatest era to life. Perform on massive stadium stages, explore backstage areas, unlock classic outfits, and recreate the unforgettable moments that made the Bad Tour one of the most iconic tours in music history. Whether you’re dancing, roleplaying, or just vibing with friends, this is your chance to shine like the King of Pop ⭐ Are you ready to hit the stage and make history? ⭐ Thank you for stepping into the world of Michael Jackson’s Bad Tour 1988. This game is built for fans who want to feel the power of MJ’s live performances — the lights, the energy, the iconic moves, and the unforgettable stadium atmosphere ⭐ Have fun, explore, and keep the legacy of the King of Pop alive ⭐

Last updated by the developer 5 Aug 2026, 02:22 UTC.

0
playing (measured 16 Aug 2026, 05:02 UTC)
374
lifetime visits
50%
liked (1 👍 / 1 👎)
7
favourites (18.7 per 1k visits)
23 May 2026
created (per Roblox)

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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 We do not publish numbers we have not measured.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
16 Aug 2026, 05:020first reading

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

Badge funnel

Welcome badge · welcome0 · 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.