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Draw With Buddies Multiplayer

Draw With Buddies Multiplayer

Fiddlerswork Private Limited

Games免费v5.05
App Store
评分

4.6

9,554 条评分

星级

★★★★★

最近更新

2026年3月27日

发布日期

2021年7月12日

更新内容

v5.05

Bug fixes and improvements

应用信息

开发者
Fiddlerswork Private Limited
分类
Games
价格
免费
版本
5.05
App ID
1502088179

简介

Get ready for an exciting drawing experience with Draw with Buddies! Whether you're a fan of classic games like Pictionary or looking for a new multiplayer challenge, this game has something for everyone. Draw, guess, and make friends! Play with other players online, drawing words and guessing what others have drawn. Meet awesome artists along the way? Add them as friends right in the game! Invite buddies to play with one tap, see who's online, and build your creative crew. Two ways to play: 1v1 Mode — Craft your best art without the pressure of a time limit. Create stunning masterpieces and send them to your opponent to guess. React with emojis and take your time perfecting every detail. Party Mode — Non-stop fun! One player draws while everyone else guesses in real-time. No player limit, no end — just jump in and keep the creative energy flowing! Show off your art Save your favorite drawings to your ArtBook, submit your best work to the community Showcase, or turn masterpieces into shareable Reels. Get recognized for your creativity! Keep coming back Complete daily and weekly quests for rewards. Claim daily bonuses that grow the longer your streak. Unlock emojis, avatars, and custom colors to make your profile your own. Everyone's welcome Unleash your inner artist in a stress-free environment where scribbles and stick figures are celebrated. It's all about having fun and expressing yourself, no matter your skill level. Download now and start making buddies! Join our community on Reddit to share your experiences, give feedback, and connect with other players. We'd love to hear from you!

下载量预测

专业 · 预览

预估总下载量

478K318K955K
保守估计乐观估计

5K

低 / 月

8K

预估 / 月

16K

高 / 月

基于9,554 条评分
假设评分率2.0%
应用年龄59 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。