- 在兵线上时,尽量试着从一个安全的距离上利用【解脱之手】的穿透伤害来消耗敌人。
【帝国视界】本身非常难以命中敌人,所以要时刻留意地图各处的遭遇战,来对那些被干扰了注意力或被控制的敌人使用,这样就能更易命中敌人。
- 如果你很难用【永不复行】来束缚住敌人,可以试试趁着敌人靠近敌方小兵的时候释放该技能,来用爆炸带给TA惊喜。
- 【恶魔升华】也许会让斯维因非常难以被击杀,但敌人也可以非常容易地走出技能范围。如果敌人的机动性已经高到爆表,可以尝试购买一些减速装备,来将敌人留在技能范围内。
- 璐璐特别擅长抓对手的失误。不要给她任何机会!要不断地压制,并将她和她的搭档一起赶出经验区。
- 璐璐的仙灵所发出的飞弹可以被拦截——躲在你的小兵后面,来躲避仙灵额外的攻击。
The stats shown on this page feature several valuable 诺克萨斯统领 vs. 仙灵女巫 matchup statistics that may help you figure out the differences and similarities between these two champs. For instance, 诺克萨斯统领’s KDA ratio ([kills + assists] / deaths) of NaN is better than 仙灵女巫’s ratio of NaN, indicating that 诺克萨斯统领 may be more central to his team's team fighting potential than 仙灵女巫. This observation is in large part fueled by the difference in kills.
诺克萨斯统领 normally has a much larger longest killing spree than his matchup does. Typically, he receives more damage than 仙灵女巫. This often reflects different amounts of tankyness, yet it can also indicate that the one champ has less mobility and thus is unable to escape additional damage when engaged or poked.
Both League champions are great. Both champs have their strengths, weaknesses, and counters. In the game's current meta, 诺克萨斯统领 usually wins when taking on 仙灵女巫, with a 51.8% win rate. As a result, 诺克萨斯统领 makes a good counter for 仙灵女巫.
While 诺克萨斯统领 does have a higher winrate than 仙灵女巫, when they face off with one another, 诺克萨斯统领 also has a much greater level of difficulty that makes him a more complex champ to pick up and master. You still need to be cautious when picking 诺克萨斯统领 into 仙灵女巫as his relative depth means you may not be able to unleash his full potential without a significant amount of practice beforehand.
Additionally, 诺克萨斯统领 has some amount of utility and CC, a similar amount to 仙灵女巫. This makes her just as valuable during teamfights, especially when facing champions with a ton of burst damage.
While there isn't a single best champion in League of Legends, in 诺克萨斯统领 vs 仙灵女巫 matchups, 诺克萨斯统领 is the better champ with a higher win rate, more champion depth, and a similar amount of utility to help out your allied champions during teamfights.
诺克萨斯统领 is a decent counter for 仙灵女巫. Make sure you focus your strategy on increasing your gold and cs and taking out objectives. If you can do that, you should hold your own as 诺克萨斯统领 against 仙灵女巫.
If you would like to learn all of the intricacies of 诺克萨斯统领 in order to counter 仙灵女巫 during both the early game and mid / late game phases of League of Legends, you should continue reading to pick up a few extra lessons on this matchup. If you pay attention to the build and stats displayed above, you should grow your win rate significantly and be that much closer to League of Legends pro players.
诺克萨斯统领 typically accumulates much more CS as 仙灵女巫. Champs who typically don't take much CS typically don't require much CS to be valuable teammates, such as sup champs. These kinds of champions are able to scale well off of their abilities and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, typically need several high cost items to be effective. In either case, try to surpass the values reported here to do well.
The most important items to focus on in your 诺克萨斯统领 versus 仙灵女巫 build include 瑞莱的冰晶节杖, 残疫, and 兰德里的折磨. When 诺克萨斯统领 bought at least these three pieces in his build, he did much better vs 仙灵女巫 than with many other commonly used counter builds. In fact, 诺克萨斯统领 boasted an average win rate of 51.8% when playing against 仙灵女巫 with this build.
To have the greatest chance of crushing 仙灵女巫 as 诺克萨斯统领, 诺克萨斯统领 players should use the 征服者, 气定神闲, 传说:韧性, 坚毅不倒, 调节, and 过度生长 runes from the 精密 and 坚决 rune sets. Out of all the rune combinations players picked for 诺克萨斯统领 vs 仙灵女巫 counterpicks, this mixture of runes yielded the best win rate. Moreover, these runes provided a 51.8% win rate overall.
If you want to see 诺克萨斯统领 vs 仙灵女巫 tips and counter stats for a a distinct division rank, please choose one from the selection menu above. By default, the statistics and guides given are computed using every match with data with these champs.