纵观2016年的NiP战队，有一个人并不好受，他就是GeT_RiGhT。然而在今年全年的比赛里，被称为“老阴B”的GeT_RiGhT却遭遇了自己人生的滑铁卢，由于数据暴降，GeT_RiGhT仅仅获得了hltv年度选手的第18位。从2013年的Top1选手到如今的Top18。GeT_RiGhT遭遇了雪崩式下滑，是GeT_RiGhT真的变菜了么。其实内在还有其它因素，今天小编就为大家介绍一下新的rating计算机制。

从2017年起，hltv开始使用新的rating计算方式。以往的rating计算主要计算以下三点：

KPR- kills per round(每回合击杀数)

SPR- survived rounds per round(每回合存活数)

RMK- a value based on number of rounds with multiple kills(多回合的连杀价值判定)

按照以前的算法，Rating = (KillRating + 0.7*SurvivalRating + RoundsWithMultipleKillsRating)/2.7

这里边的KillRating指的是Kills/Rounds/AverageKPR，而SurvivalRating则是通过(Rounds-Deaths)/Rounds/AverageSPR计算出来的，而RMKRating的界定就更加复杂，是RoundsWithMultipleKillsRating = (1K + 4*2K + 9*3K + 16*4K + 25*5K)/Rounds/AverageRMK，可以看出在RMKRating里边连杀的分值计算也是相当繁琐的。

但如今随着CS:GO游戏的发展，对于rating的计算方式显然也需要做出一定的改动。因此在新的一年里，hltv决定采用新的rating计算方法，对以前的rating算法进行微调，而首先采纳新算法的就是top20的选手数据，而这也从侧面影响了本届top20的选手排名。

hltv的原文是这样的：

In 2016 we introduced some new stats to our database which helped us analyze performances even better, such as ADR (average damage per round), and we are in the process of introducing a few more such as KAST (rounds with a kill, assist, survival or a traded death, which measures round-to-round consistency) and Impact rating (value based on multi-kill rounds, opening kills and winning 1vsX situations), both of which will be included in our Rating 2.0 that is set to be added to the site during the first months of 2017. Those stats will be referenced throughout the article series as they were considered during the creation of the ranking.

简而言之，hltv的新算法引入了新的计量元素，除了以往大家所熟悉的ADR，此次出现了新名次KAST以及Impact rating。新的计算方式除了选手的个人能力之外，更加关注选手在团队之中所做的贡献，这在很大程度上对选手的定位做出了限制。对于GTR以及Happy这样的智慧型选手而言，他们更多的时候是作为奇兵出现在对方视野当中的。但以hltv的新rating算法看来，GTR的分数低也就不足为奇了。