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Progress Knight: Multiplayer

Progress Knight: Multiplayer

Noe LE PHILIPPE

Games免费v2.7.0
App Store
评分

4.7

311 条评分

星级

★★★★★

最近更新

2024年8月30日

发布日期

2023年4月19日

更新内容

v2.7.0

- Added two new talents that modify Afterlife boosts - Added the Sanctuary of Knowledge in the Temple, a place to get answers to your questions about the game - Changed the brands Skill Effects bonus - Players now appear in the Players list for 72 hours - Added a button in the Shop to purchase all available items - Added an new in app purchase to speed up autolearning 5X - Added new FoS ranks - Improved accessibility for screen reader user in the Table admin panel

应用信息

开发者
Noe LE PHILIPPE
分类
Games
价格
免费
版本
2.7.0
App ID
6447426497

简介

Progress Knight: Multiplayer is an exciting incremental player versus player game that builds on the success of its predecessor, Progress Knight: Mobile. Set in a rich fantasy/medieval world, players must gather gold and progress their skills to fight against their opponents. As a novice of The Order, you start at the bottom rung of the ladder. However, through your faith and dedication, you can discover new skills and abilities that allow you to overpower your rivals and climb the ranks of The Order. You must choose whether to rely on their wits and skills alone, embrace your belligerent side, or use your dedication to deter potential attackers. In Progress Knight: Multiplayer, combat is a key aspect of the game. You can engage in battles with other players to steal their gold and gain ranks. But be warned, you can only attack those of a lower rank than you. Eventually, you will hit a plateau and find it difficult to progress further. However, among the ranks of The Order, you may discover a way to start over while retaining some of your power to progress even faster than before. This adds an extra layer of strategy to the game, as you must balance short-term gains with long-term planning.

下载量预测

专业 · 预览

预估总下载量

16K10K31K
保守估计乐观估计

280

低 / 月

420

预估 / 月

841

高 / 月

基于311 条评分
假设评分率2.0%
应用年龄37 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。