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أسرق الشخصيات انت ادمن 🎭 مود

أسرق الشخصيات انت ادمن 🎭 مود

A Roblox experience owned by Icons Studio's.

TycoonARsteal charactersrebirthbrainrot

أسرق الشخصيات انت ادمن 🎭 مود is a tycoon experience created on 2026-01-10. It has accumulated 556,222 lifetime visits and 5,268 favorites. The game holds a 62% like percentage. Currently, zero players are active. The description highlights mechanics such as purchasing characters, stealing from others, and rebirths. It supports computer, mobile, and console platforms.

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

🎭 مرحبًا بك في اسرق الشخصيات الدماغيه طريقة اللعب: 🥷🏻اشترِ شخصيه غريبه 🚀 اسرق الشخصيات من اللاعبين الاخرين 💸 اجمع فلوس تلقائيًا 🐦‍🔥 سوِّ إعادة ميلاد (Rebirth) ✋ اشترِ ضربات وأدو اللعبه تدعم ! : الكمبيوتر و الجوال و الكونسول ❤️ أنضم إلى جروب الماب وضع لايك ومفضلة فضلاً وليس امراً للمزيد من التحديثات الكلمات المفتاحية: ماب السرقة تريدات ماب السرقة مود مودات أدمن ادمن ادمن مجاني اولاد وبنات ام ام تو العرب عربي تحديث باركور برج شالية شاليه رجعنا تريدات العرب تريد الأصلي الاصلي حفلة نسخه جديدة Brainrot Steal a Brainrot

Last updated by the developer 16 Jun 2026, 20:19 UTC.

0
playing (measured 10 Aug 2026, 21:20 UTC)
556,222
lifetime visits
62%
liked (130 👍 / 81 👎)
5,268
favourites (9.5 per 1k visits)
10 January 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 We do not publish numbers we have not measured.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
10 Aug 2026, 21:200first reading

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

Badge funnel

نورت ماب السرقة أنت ادمن · other77,116

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.