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Cooking Fever: Restaurant Game

Cooking Fever: Restaurant Game

Nordcurrent UAB

Games免费v26.2.6
App Store
评分

4.5

334,603 条评分

星级

★★★★★

最近更新

2026年5月14日

发布日期

2014年8月19日

更新内容

v26.2.6

Various bug fixes and small improvements to make your gaming experience smoother. Follow us on social media, for all the latest news, contests, and more!

应用信息

开发者
Nordcurrent UAB
分类
Games
价格
免费
版本
26.2.6
App ID
714796093

简介

Cook delicious meals and desserts from all over the world in this FREE addictive time-management game! With a wide choice of unique locations and restaurants, from Desserts and Fast Food to Indian and Chinese cuisines, you will be able to practice your skills in a variety of settings and cooking techniques. Use hundreds of delicious ingredients to cook the best quality dishes. Try all the possible kitchen appliances, from coffee makers and rice cookers to pizza ovens and popcorn makers. Decorate your restaurants to attract more clients. Make your own freebies, such as cookies or cupcakes, to make your customers’ experience more personal and memorable – just like in real life! Upgrade your kitchen and produce an even greater variety of dishes. Oh, and did we say that this game is as addictive and as engrossing as fever? Have fun cooking and don’t forget to share your delicious meals with your friends on Facebook! Features: • Thousands of delicious dishes to cook using hundreds best quality ingredients • Huge choice of world famous cuisines • More than a 1000 levels to complete • Hundreds and hundreds of upgrades for your kitchen appliances and interior IMPORTANT NOTE: Cooking Fever requires access to the internet in order to play. The game uses a small amount of data for features like our daily rewards, restoring lost game progress, tournaments, challenges, and other gameplay improvements. Terms and conditions https://nordcurrent.com/privacy/general-nordcurrent-terms-and-conditions/

下载量预测

专业 · 预览

预估总下载量

16.7M11.2M33.5M
保守估计乐观估计

78K

低 / 月

117K

预估 / 月

234K

高 / 月

基于334,603 条评分
假设评分率2.0%
应用年龄143 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。