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WePlay - Game & Party

WePlay - Game & Party

WEJOY PTE. LTD.

Entertainment免费v6.0.6
App Store
评分

4.4

86,283 条评分

星级

★★★★☆

最近更新

2026年4月14日

发布日期

2021年12月8日

更新内容

v6.0.6

1. Bug fixes and performance improvements

应用信息

开发者
WEJOY PTE. LTD.
分类
Entertainment
价格
免费
版本
6.0.6
App ID
1589399089

简介

WePlay is a Party Game app that young people love to play. It offers the most popular casual party games and voice interaction. You will get more fun when playing this games! [Online Party Game Bar] Grab Mic: Sing the hottest songs and show off your singing voice! Ludo:The a classic board game played between friends and family Who is Spy: a social game that tests reasoning and acting skills Draw & Guess: it not only tests your creativity but also your teamwork and drawing skills! WeParty: The most popular game where civilians and killers pit their wits against one another! More and more new party games will be released in WePlay! [New Interactive Features] Image & Cloth Changing: Create a 3D image, face pinching, model clothes, show your self-image! VIP gift: Become the VIP of WePlay and get the unique gifts which includes the special rings and other privilege! Play games, sing and do interesting things in WePlay! In WePlay, there are always humorous and friendly games waiting for you. If you choose to purchase VIP, Silver Monthly Pack, Golden Monthly Pack, or Diamond Monthly Pack with auto-renewal, the fee will be charged to your Apple account. Your account will be charged for renewal within 24 hours prior to the end of the current subscription period. You can cancel auto-renewal at any time in your App Store settings. The current subscription cannot be canceled during its active period. If you do not wish to subscribe, you can continue using WePlay for free. Automatic Renewal Agreement:https://weplayapp.com/docs/FcIs2wgW Monthly Pack Automatic Renewal Agreement:https://weplayapp.com/docs/RhGNkd6Y

下载量预测

专业 · 预览

预估总下载量

6.4M4.3M12.3M
保守估计乐观估计

80K

低 / 月

118K

预估 / 月

228K

高 / 月

基于86,283 条评分
假设评分率1.4%
应用年龄54 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。