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Lucky Emulator – GBA & DS

Lucky Emulator – GBA & DS

Lucky Emulator Ltd

Entertainment免费v1.2.9
App Store
评分

4.7

12,857 条评分

星级

★★★★★

最近更新

2025年12月29日

发布日期

2024年7月11日

更新内容

v1.2.9

Player Thanks! Update Live - Fix known issues

应用信息

开发者
Lucky Emulator Ltd
分类
Entertainment
价格
免费
版本
1.2.9
App ID
6504077594

简介

Lucky Emulator is the easiest way to enjoy GBA & NDS retro games on iPhone and iPad. Relive the classics with smooth performance, controller-ready gameplay, save states, and fast-forward. SUPPORTED GAME SYSTEMS - Game Boy Advance (GBA) - Nintendo DS (NDS) ROM IMPORT - Easily import your own game ROMs from Files or iCloud - Quick access shortcuts for your favorite titles SCREEN MODES - Play in portrait or landscape orientation - NDS dual-screen layouts for a more authentic DS experience CONTROLLER SUPPORT - Connect Bluetooth controllers (Xbox, PlayStation, 8BitDo, MFi) - Fully customizable on-screen controls for any emulator setup SAVE STATES - Save and load your progress anytime - Multiple save slots for each game - Quick save & quick load for instant gameplay FAST FORWARD - Speed through slower parts of games with one tap - Perfect for RPG grinding or long cutscenes AUDIO & CUSTOMIZATION - Adjust sound effects for the best retro feel - Choose different controller layouts to fit your style SUBSCRIPTION & TERMS - Subscriptions renew automatically unless canceled at least 24 hours before the end of the current period - You can manage or cancel your subscription anytime in your App Store account settings - Privacy Policy: https://luckyemulator.xyz/#/pages/privacy/index - Terms of Use: https://luckyemulator.xyz/#/pages/term/index - Disclaimer: https://luckyemulator.xyz/#/pages/payment/payment [Legal Notice] - Lucky Emulator is in no way affiliated with Nintendo. - The name "Nintendo" and all associated game console names are registered trademarks of Nintendo Co., Ltd.

下载量预测

专业 · 预览

预估总下载量

952K643K1.8M
保守估计乐观估计

29K

低 / 月

43K

预估 / 月

83K

高 / 月

基于12,857 条评分
假设评分率1.4%
应用年龄22 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。