[👸] [BELINHA] ZARA MISSION! OFFICIAL EXPERIENCE

A Roblox experience owned by Unlimited Fusions.

RoleplayPTinfluencer IPescape mini-gamesocial roleplay

[👸] [BELINHA] ZARA MISSION! OFFICIAL EXPERIENCE is a roleplay experience created on 2025-03-24. It has accumulated 1,770,572 lifetime visits and holds 1,383 favorites. The experience currently has 1 player online. User engagement metrics show an 83% like percentage. The description references a mini-game involving an escape scenario.

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

💙❤️Hello, my loves from Belinha's channel!❤️💙 💙❤️How are you?❤️💙 🔥Mini-game: help me escape!!

Last updated by the developer 18 May 2026, 17:43 UTC.

playing (measured 11 Aug 2026, 08:01 UTC)

1,770,572

lifetime visits

83%

liked (328 👍 / 69 👎)

1,386

favourites (0.8 per 1k visits)

24 March 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 We do not publish numbers we have not measured.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)	Players	Change
11 Aug 2026, 08:01	0	first reading

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

Badge funnel

You Played with Belinha! · social1,055,679 · 100.0% win

First Mission Completed (Zara Mission Event) · progression126,894 · 13.6% win

First Treasure Hunt Completed! · progression119,292 · 33.9% win

Carlito Fan! · other23,645 · 13.6% win

Mica Dog! · other5,516 · 0.00% win

First Letter Sent! · other1,931 · 6.8% win

You Won: Weekly Leaderboard: Top 1 · other20 · 0.00% win

Number 1 Fan! · other0 · 0.00% win

You Won: Weekly Leaderboard: Top 10 · 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.