返回榜单
Subway Princess Runner

Subway Princess Runner

Ivy

Arcade免费v8.5.5Android
Google Play
评分

4.3

2,011,300 条评分

星级

★★★★☆

最近更新

2026年5月12日

发布日期

2017年6月2日

更新内容

v8.5.5

The spotlight’s on—flip your fate!<br>- Circus Pass: Fortune Teller × Tarot Board<br>- Pass Progress: collect “Tarot Cards” on the track → level up the Pass → claim Pass rewards<br>- Crazy Runner: Magician × Magic Mirror Board<br>- Crazy Runner Progress: complete challenge milestones → earn Crazy Runner exclusive rewards<br>- Seasonal Special Shop: Circus Lion / Clown Girl / Li — limited time

应用信息

开发者
Ivy
分类
Arcade
价格
免费
版本
8.5.5
安装量
500,000,000+
包名
com.rioo.runnersubway

简介

Subway Princess Runner is an endless running game. Rush as fast as you can dodge the oncoming trains, You can choose your favorite character to use the skateboard to surf in the subway. Help Lucy and Kevin escape the police and earn high scores, what are you waiting for? Run now!!! [FEATURES]: - Subway theme game - Influent screen touch - Double tap for skateboard, feeling the special running - Challenge the highest score with world players - The higher the level,the higher the score - Grind trains with your cool crew - Colorful and vivid HD graphics - Upgrade all the properties to get endless power [HOW TO PLAY]: - Jump, slide to avoid obstacle - Smooth touch your phone - Run as far as possible to pick up coins and diamonds - Easy to run left or right - Use prop of scores, coins - Upgrade your level by notching tasks - Choose your liked characters [EVENTS]: - Daily Highscore, Challenge high scores to enter the rankings! - Crazy Runner, Challenge levels, accumulate points and win special characters! - Team Battle, Unlock more characters and get more exchange coins! Run as far as you can, Join the most daring chase! FOLLOW US If you have any questions, please contact our Facebook Homepage: https://www.facebook.com/SubwayPrincessRunner

下载量预测

专业 · 预览

预估总下载量

149.0M100.6M287.3M
保守估计乐观估计

923K

低 / 月

1.4M

预估 / 月

2.6M

高 / 月

基于2,011,300 条评分
假设评分率1.4%
应用年龄109 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。