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WGT Golf: Realistic Golf Game

WGT Golf: Realistic Golf Game

WGT

Games免费v1.200.3
App Store
评分

4.5

108,115 条评分

星级

★★★★☆

最近更新

2026年5月14日

发布日期

2013年10月16日

更新内容

v1.200.3

* Fields Ranch – Full course & Course Pass coming soon. Limited Edition Balls in Silver & Gold and exclusive Challenge Event prizes on the way. * New UI – Overhauled Main Menu with redesigned Game Selection, Solo Play, Pickup Games, and the new My Golfer section. * Putt Preview & Shot Assistance – One-click putt preview and improved power recommendations now available in select modes. * Bug Fixes & Improvements

应用信息

开发者
WGT
分类
Games
价格
免费
版本
1.200.3
App ID
672828590

简介

No tee time or green fees necessary. Play bucket-list courses like Pebble Beach, St Andrews, Quail Hollow, Fields Ranch and more when you can't get out to play – without sacrificing the "realness" of golf, including all the highs (and even some of the lows...) Compete against players worldwide or tee off solo as you progress and collect rewards. Join a country club, enter tournaments and sharpen your golf skills from anywhere. World Golf Tour (WGT) is for players who love the game. WGT features: - Iconic courses - Bandon Dunes, Chambers Bay, PGA National and many more - 18-hole stroke play - full courses playable in a variety of game modes - Head-to-Head multiplayer - compete against players all over the world - Country Clubs - join a club for special tournaments and rewards - Tournaments - compete to win prizes - Real-world gear - use the same brands as your favorite pros - Weekly events - there’s always something new to play - Goals & Achievements - track your progress and earn even more rewards Note: a network connection is required to play WGT. For the best possible experience, high-speed internet is recommended. For Help/Support: http://m.wgt.com/help/request Terms & Conditions: https://m.wgt.com/terms Privacy Policy: https://m.wgt.com/privacy

下载量预测

专业 · 预览

预估总下载量

5.4M3.6M10.8M
保守估计乐观估计

24K

低 / 月

35K

预估 / 月

71K

高 / 月

基于108,115 条评分
假设评分率2.0%
应用年龄153 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。