返回榜单
Ski Tracker & Snow Forecast

Ski Tracker & Snow Forecast

LW Brands, LLC

Navigation免费v3.22
App Store
评分

4.6

4,044 条评分

星级

★★★★★

最近更新

2026年4月6日

发布日期

2019年1月31日

更新内容

v3.22

+ Fixed a few bugs Thank you for the positive feedback!

应用信息

开发者
LW Brands, LLC
分类
Navigation
价格
免费
版本
3.22
App ID
1448220616

简介

The Ski Tracker & Snow Forecast app makes it easy for skiers and snowboarders to track their runs, view their stats, and check the snow forecast. When you’re ready to hit the trails, just open the app on your phone, and let it run behind the scenes while you have fun. Once downloaded, you’re ready to start using the app. No username creation or email sign up needed! VIEW YOUR RUNS + Visually recap every run on the map + Color coded tracks based on speed + Ski lifts are NOT tracked (less map clutter) + Customizable track color schemes TRACK YOUR STATS + Max speed + Total Vertical + Total Distance + Calories burned + View stats on Apple Watch & home screen widget + Filter stats by individual run, day, season, or “all-time” NOAA SNOW FORECAST + 7-day NOAA snow forecast (USA only) + Tap on map for elevation-specific forecast + Hourly weather forecast for your favorite ski resorts BACKUP TO iCLOUD + SHARE + Automatically back up data to iCloud + Share data between devices + Share app stats with friends + family OTHER GREAT FEATURES + Automatic detection of ski/snowboard motion + Option to pause tracking + Easily delete erroneous data **Optimized for low battery usage - if you keep your phone warm, use airplane mode, and start with a full battery, the app has the potential to last the entire day with battery to spare.** Ski Tracker & Snow Forecast was created by a solo developer and avid snowboarder who is constantly using and optimizing the app. Questions or feedback? Email me at support@lwbrandsllc.com Terms & Conditions https://lwbrandsllc.com/ski-tracker-snow-forecast-terms-conditions/

下载量预测

专业 · 预览

预估总下载量

300K202K578K
保守估计乐观估计

2K

低 / 月

3K

预估 / 月

6K

高 / 月

基于4,044 条评分
假设评分率1.4%
应用年龄89 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。