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LSAT Exam & Test Prep 2026

LSAT Exam & Test Prep 2026

Thinkabout

Education免费v1.0.7
App Store
评分

5.0

16 条评分

星级

★★★★★

最近更新

2026年2月17日

发布日期

2025年5月6日

更新内容

v1.0.7

Minor bug fixes

应用信息

开发者
Thinkabout
分类
Education
价格
免费
版本
1.0.7
App ID
6745482061

简介

Ace Your LSAT Exam with Confidence! Prepare smarter, not harder with the ultimate LSAT Exam Prep app. Whether you're just beginning your law school journey or fine-tuning before test day, this app gives you everything you need to succeed. Be ready, stay sharp, and pass your LSAT exam on the first try. Key Features: *Up-to-Date Questions – Practice with a comprehensive library of questions aligned with the latest LSAT exam standards. *Detailed Explanations – Understand every answer with clear, concise explanations that sharpen your reasoning and logic skills. *Covers All Major Courses – Get full coverage of LSAT topics including Logical Reasoning, Analytical Reasoning, Reading Comprehension, and more. *Various Test Modes – Choose from Missed questions test mode, Quick test, or focus on Saved questions — study your way. *Track Your Progress – Monitor your daily improvement, review performance stats, and stay motivated. ******* Premium access To access all the premium features and content, you need to subscribe or pay once for lifetime access. The cost of the purchase is charged to your iTunes account. Subscriptions automatically renew and are billed at the rate and period you choose based on your subscription plan. User accounts are charged for auto-renewal within 24-hours prior to the end of the current period. Subscriptions may be managed and auto-renewal may be turned off in iTunes Account Settings after purchase. Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription to that publication, where applicable. Privacy Policy: https://appslaunchpad.com/policy Terms of Use: https://appslaunchpad.com/terms

下载量预测

专业 · 预览

预估总下载量

1K8002K
保守估计乐观估计

62

低 / 月

91

预估 / 月

176

高 / 月

基于16 条评分
假设评分率1.4%
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。