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Mastering Taekwondo at Home

Mastering Taekwondo at Home

KFitness Studio

Health & Fitness免费v1.6.1Android
Google Play
评分

4.5

40,935 条评分

星级

★★★★☆

最近更新

2026年4月12日

发布日期

2019年3月11日

更新内容

v1.6.1

Free ALL Training Plan for Taekwondo at Home

应用信息

开发者
KFitness Studio
分类
Health & Fitness
价格
免费
版本
1.6.1
安装量
5,000,000+
包名
com.taka.tkw

简介

Best Martial Art for Self Defense - Taekwondo, Karate, Kung fu and Kickboxing skills Best Martial Arts for Self Defense - Taekwondo, Karate and Kickboxing skills Martial Arts Training at Home Do you want to learn martial arts but you either don't have time, can't afford it or you don't live close to a gym? Fear not, you can still train with this app. Download It Now! Getting Into Shape Weight loss and fat burning are often a major part of the getting in shape process. Your martial arts training will generally combine both steady-state cardio and high-intensity interval training (or HIIT, for short) in the sessions. Get fit, tone your body, and build incredible muscle memory—the key to effective self-defence. Fighting and Self Defense Get strong, lose weight, and learn self defense. From powerful strikes to badass escape moves. We teach you how to fight off an attacker and get out of tricky situations. Our complete white-to-black belt courses were designed with you in mind. Perfect for training at home for personal learning, or for earning rank. Follow along with easy to learn from video lessons, and follow along classes. Learning anywhere anytime. FEATURES:  - Combining many martial arts : Karate , Taekwondo, Boxing and Muay Thai. - Suitable for weight loss, muscle gain at home for both men and women. - Many high quality video lessons from the punches, blacks to the advanced kicks. - Achieve the belt levels from white belt to black belt. Easy to learn, step by step. - All exercises are designed by 3D modeling with full HD resolution. - Absolutely no gym equipment required in this app .

下载量预测

专业 · 预览

预估总下载量

3.7M2.7M5.8M
保守估计乐观估计

31K

低 / 月

43K

预估 / 月

67K

高 / 月

基于40,935 条评分
假设评分率1.1%
应用年龄87 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。