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Blossom Triple: Find flowers

Blossom Triple: Find flowers

LIHUHU PUBLISHING PTE. LTD.

Games免费v1.1.3
App Store
评分

4.8

856 条评分

星级

★★★★★

最近更新

2024年11月20日

发布日期

2024年4月7日

更新内容

v1.1.3

- Add new packs - Fix bugs

应用信息

开发者
LIHUHU PUBLISHING PTE. LTD.
分类
Games
价格
免费
版本
1.1.3
App ID
6479285448

简介

The ultimate goal of Blossom Triple is straight forward: find the enough flowers to clear all the goals in time to pass levels. Pass more levels to unlock new splendid flowers tile Blossom Triple can be played offline. Download now for free! Blossom Triple: Find flowers is created for those who love to: - Passing time with simple puzzles - Keeping the brain still active when relaxing - Watching flowers, nature, butterflies,... - Sharpening focus and speed of the brain - Improving eyes skill - Or just simply trying new games Features of Blossom Triple: - Offline play anywhere, anytime; no internet required to play - 400+ different flowers, plants, butterflies and more! - Easy and straight forword gameplay - Weekly challenges and many modes to challenge yourself - Various boosters to pass levels easier - Minimum the repetitive with smart level design - Plenty of deal on Shop - Complete with others via Leader Board - Continuous updating, more and more content are waiting to be updated ingame How to play Blossom Triple - Find and tape 3 same tiles to score the goal - Make combo to score more starts by matching tiles as fast as possible - Clear all goals in time to pass level - Get stuck? Try the suitable boosters - Win a certain level to unlock new tiles - The higher the level, the more difficult the level is - Try your best to pass as many levels as you can!" Escape the everyday and cultivate calm with Blossom Triple, a flower theme match-3 game blooming with beauty and tranquility. Download and play now for free! If you have any problems, or any ideas, let us know, we make sure to help you have the best game experience: support@lihuhugames.com

下载量预测

专业 · 预览

预估总下载量

43K29K86K
保守估计乐观估计

1K

低 / 月

2K

预估 / 月

3K

高 / 月

基于856 条评分
假设评分率2.0%
应用年龄26 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。