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Fade Master 3D: Barber Shop

Fade Master 3D: Barber Shop

ALICTUS YAZILIM A.S.

Games免费v1.15.3
App Store
评分

4.5

114,602 条评分

星级

★★★★★

最近更新

2025年5月29日

发布日期

2022年9月20日

更新内容

v1.15.3

Performance improvements.

应用信息

开发者
ALICTUS YAZILIM A.S.
分类
Games
价格
免费
版本
1.15.3
App ID
1643527602

简介

Welcome to Fade Master 3D where you have to create the best hairstyles! In this incredibly satisfying hair-cutting game you will experience a great barbershop experience. Numerous customers will demand different hair models. All of these customers are real-life simulations and will want you to transform them into their most beautiful state! Meet with a homeless guy and make him tidier or give the best hairstyle you can to a soon-to-be-wed groom. Find the models in the catalog and proceed with cutting their hair, mustache, and beard. There are more than 20 hair models: Mid fade, box fade, military high fade, curly fade, high fade, etc. You will learn and apply different techniques & tools: - Trim the hair of a homeless guy with a trimmer - Cut the military personnel's hair with bright scissors - Scratch the rapper's hair with a trimmer - Prepare a jobless guy for his interview by combing his hair - Burn phobia guy's hair with a torch - Be careful! - Implant hair to a special agent for his mission - Paint the baller's hair with a spray Perm 80's disco guy's hair and go on with the vibe! Wax eyebrows and feather make them look perfect! See how good a barber you are along with a realistic game experience. Make the transformations while applying the hairstyles they want to people of different styles. Trust your talent to be the best barber in town and get the best haircuts. All these are free to play. Game Features: - Real-life mechanics - Impressive hair models - a wide variety of hair-cut tools - Different fade styles - Sounds that reflect reality - Smooth camera experience - Character change screen

下载量预测

专业 · 预览

预估总下载量

5.7M3.8M11.5M
保守估计乐观估计

87K

低 / 月

130K

预估 / 月

260K

高 / 月

基于114,602 条评分
假设评分率2.0%
应用年龄44 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。