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Hole Em All: Collect Master

Hole Em All: Collect Master

BRAINWORKS PUBLISHING PTE. LTD.

Games免费v2.2
App Store
评分

4.9

38,083 条评分

星级

★★★★★

最近更新

2026年5月6日

发布日期

2025年2月9日

更新内容

v2.2

FINALLY! Hole Skins Are Here!!! Personalize your hole with stunning skins Performance improvements Update and transform your hole!

应用信息

开发者
BRAINWORKS PUBLISHING PTE. LTD.
分类
Games
价格
免费
版本
2.2
App ID
6739246483

简介

Hole Em All: Collect Master – Your relaxing black hole puzzle game Your Mission: Swallow, Collect & Relax Think fast - Move smart. Guide a tiny black hole to eat little objects around you first,watch it grow big enough to swallow all target items before time runs out. The better your strategy, the faster you win those hole puzzle challenges! Seeking comforting gameplay or a more competitive thrill? Hole Em All delivers the perfect mix of black hole adventure, full of oddly satisfying physics and fun for everyone! What make this black hole game so fun • Team up with friends or other hole games lovers to chat, share gifts, and earn bonuses together • Compete in limited-time challenges, black hole tournaments to become the ultimate black hole master • Climb the leaderboard in a solo or team adventures with your crew • Join frequent special events packed with surprises & rewards in the hole game • Customize your style: Unlock new hole skins, exciting themes, and cool effects Hole Em All is the ultimate black hole puzzle experience for fans of hole games, built for pure joy and smooth fun—whether you're on a quick break or diving into for a full chill session. So go ahead, settle in, slide a black hole across creative maps, spot target items, and absorb them all! If you love brain-teasing puzzles, vivid visuals, and satisfying fun, Hole Em All is your next favorite in the world of hole games. Ready to swallow your boredom? Grab your black hole and let the black hole game puzzle feast begin!

下载量预测

专业 · 预览

预估总下载量

1.9M1.3M3.8M
保守估计乐观估计

85K

低 / 月

127K

预估 / 月

254K

高 / 月

基于38,083 条评分
假设评分率2.0%
应用年龄15 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。