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Tigers of the Forest

Tigers of the Forest

Boris Tsarkov

Games免费v1.2
App Store
评分

4.5

4,766 条评分

星级

★★★★☆

最近更新

2020年8月3日

发布日期

2016年10月20日

更新内容

v1.2

Updated API's, other performance improvements.

应用信息

开发者
Boris Tsarkov
分类
Games
价格
免费
版本
1.2
App ID
1155998326

简介

Tigers of the Forest! Its finally here! Your requests have been answered. Thanks for so many positive responses to our games and requests for tigers of the forest. Raise your very own Tiger. We've included a Tiger cub sequence. Its not like any ordinary Tiger simulator. You can customize all the members of your family with a wide variety of colorful coats. There are wizards, forest nymphs, magic effects, epic enemies and even a final battle. We've included short movie cut scenes to help see how the story unfolds. The story begins with your young tiger. You must help her find her way in the world. Find some family members, mark some territory, and avoid the wild enemies. Your big cat will build her skill by completing various quests. Along the way, you will develop your hunting skills. You will need to drink water and stay hydrated. Be sure to hunt and eat when your hunger level gets low. This a long form game. That means it will take you some effort to complete. But we created a very challenging final battle sequence. All family members are customizable. There is also tiger cub training, and magical elements. The story is told through some short animated sequences. Collect Treasure Chest, Gems, and Keys. This game is the latest in our Epic Quest series. We love to hear from you. We listen to your feedback and always try to improve the quality of our games. Be sure and stop by our Facebook page:
https://www.facebook.com/wildfootgames for updates. 
Please email your suggestions. Our focus is making creative games with animals and magic. Animal simulators with something special added. Good luck and have a Wildfoot day!

下载量预测

专业 · 预览

预估总下载量

238K159K477K
保守估计乐观估计

1K

低 / 月

2K

预估 / 月

4K

高 / 月

基于4,766 条评分
假设评分率2.0%
应用年龄117 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。