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Street Fighter IV CE NETFLIX

Street Fighter IV CE NETFLIX

Netflix, Inc.

Games免费v1.01.04
App Store
评分

4.8

9,502 条评分

星级

★★★★★

最近更新

2026年3月24日

发布日期

2025年4月22日

更新内容

v1.01.04

We've squashed bugs and made behind-the-scenes improvements to bring Netflix members the best possible gameplay experience.

应用信息

开发者
Netflix, Inc.
分类
Games
价格
免费
版本
1.01.04
App ID
6473451387

简介

NETFLIX MEMBERSHIP REQUIRED. Go blow for blow against warriors around the world. Rule the ring with your favorite fighters in this hard-hitting version of the classic arcade game. Take control of iconic fighters and test your mettle in hand-to-hand combat against players from all over the world. "Street Fighter IV: Champion Edition" perfects the original arcade game's winning formula with a host of updates and refinements for mobile devices. Long-time Street Fighter fans will feel right at home, while adjustable difficulty settings and tutorials set newer players on the path to victory. PICK YOUR FIGHTER Choose between 32 different Street Fighter characters, including new warriors added to the game since launch: Dudley, Ibuki, Poison, Guy, Gouken, Evil Ryu, Elena, Juri and Rose. FACE OFF OR FLY SOLO Battle head-to-head against players all over the globe with an online multiplayer option. Or, if you'd rather enter the ring on your own, choose between Arcade and Survival single-player modes. FIND YOUR FIGHTING STYLE Memorize each fighter's move sequences to deploy unique attacks and combos, or use SP Assist to instantly unleash special moves. With four difficulty levels, both veterans and new players can dive into combat. TAKE IT OUTSIDE High-resolution graphics, wide-screen support and intuitive virtual pad controls create a great play experience on mobile devices. Connect a controller to take your game to the next level (note that it won't function in menus — only during fights). - Created by Capcom.

下载量预测

专业 · 预览

预估总下载量

475K317K950K
保守估计乐观估计

24K

低 / 月

37K

预估 / 月

73K

高 / 月

基于9,502 条评分
假设评分率2.0%
应用年龄13 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。