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大家好,我是《诺亚之心》官方攻略团的徐邱白,今天为冒险家们带来的是《诺亚之心》中泽达的幻灵解析。 【幻灵基础信息】 泽达,是风暴种族贤者职业的史诗幻灵,作为贤者职业,在出场时或释放觉醒技后,能使附近友方单位每秒回复生命1.5%,持续12秒。由于特技二【狂欢之酿】的缘故,个人认为高星泽达比较契合于所有阵容,是比较优秀的辅助,推荐在PVE中使用,在PVP中由于技能不是近距离类就是定点延迟类,再加上自身身板较脆,不太推荐使用,如果非要使用,建议使用剑盾做主武器来加强身板。(以上仅代表个人观点) 【幻灵潜能解析】 每个幻灵都有四种潜能,分别是特有潜能,能力潜能,战斗潜能,策略潜能,其中特有潜能无法替换,其余三种潜能均可替换。替换后仍可以选择原有的潜能进行装配。 首先是特有潜能: 解析: 泽达附体并使用剑盾作为主武器或将泽达加入阵容时,在pvp场景下,泽达凭借剑盾撑起的身板能让泽达在被集火时尽量多地给出二层狂欢效果的共有增伤。回怒,附带护盾和减体力消耗的【狂欢之酿】,让友方最强输出选手更快地攒满怒气,同时,在pve场景下,泽达还能多次生成二层狂欢的共有增伤,加强输出的容错率,避免输出暴毙。 能力潜能(幻灵50级花费48初级潜能精华解锁): 解析: 增加耐力可以提升泽达的防御,生命和能量盾。防御向强化替换可选择奥莉雅的【卓越耐力】,平衡向强化替换可选择菲雅的【卓越全能力】。 战斗潜能(幻灵60级花费60中级潜能精华解锁): 解析: 该潜能属于被动攻击类,但由于泽达是偏辅助向的,不推荐使用,建议防御向强化替换成诺亚的【卓越光阵】。 策略潜能(幻灵70级花费600高级潜能精华解锁): 解析: 建议强化替换成薇莉安的【卓越残怒】。 【幻灵专属武器及附体技能解析】 专属武器最低强化需求推荐0级 技能介绍效果: 特技一: 解析: 有两次充能的输出技能,主要是为了给敌人挂上【风蚀】和给自己挂上狂欢效果为特技二做准备。 特技二: 解析: 较为全面的辅助技能,唯一的缺点是持续时间太短。 觉醒技: 解析: 大范围群攻,若能将武器强化至30级,还能生成群体版的【狂欢之酿】。 【战斗时技能使用顺序推荐】 建议携带能力:【纯水-荆棘】 建议不管敌人在哪,优先使用特技一【宴请四方】为自己积累两层狂欢效果,再快速使用特技二【狂欢之酿】为友方提供援助,觉醒技【易燃易爆炸】在进入激怒阶段和友方一起四连觉醒破防即可。 【幻灵编队推荐】 PVE单人副本四人队伍: 泽达+雅芙+夏莉+塞巴斯 推荐理由:雅芙作为这个阵容的主力输出手绰绰有余,而且还能为夏莉提供会神BUFF;夏莉的特技二【穿风箭】也能给敌人附加【风蚀】,并且觉醒技【裂空斩】还能使敌人受到伤害增加;塞巴斯是唯一一个三个技能全带治疗的奶妈。本阵容在保证输出之余,还有一定的生存能力。 【尾声】 今天的幻灵解析到这里就结束了,不知道冒险家你是否对泽达有了更深的理解呢?欢迎在下方评论区分享你的感受! 注:以上内容和数据均取自测试版本,请以正式版本内容和数据为准。
2022-04-12目标:收集10支吗啡交给医疗商、提示:海关UN悍马车里可能有,这就是触发条件;玩家如果在逃离塔科夫游戏中受伤,那么吃止痛药就会进入止痛状态,止痛状态是非常重要的,你如果提前吃了止痛药,那么不管你腿黑了骨折了,你可以马上跑进掩体反击或者直接开溜,等安全了再加血而不是原地当靶子。 任务流程介绍 目标:收集10支吗啡交给医疗商。 提示:海关UN悍马车里可能有。 止痛状态是非常重要的。 如果突然遭遇敌人,交火,你腿被打骨折或者打黑了,如果你没有提前吃好止痛药,那么你只有3个选择。 1、一瘸一拐挪进掩体(除非对面枪法真的菜)。 2、当面给敌人表演吃药(需要对面枪法菜)。 3、扛着屏幕模糊,走路大幅摇晃或站在原地打死对方(也需要对面枪法菜),不然就是死。 而你如果提前吃了止痛药,那么不管你腿黑了骨折了,你可以马上跑进掩体反击或者直接开溜,等安全了再加血而不是原地当靶子。
2022-01-20星空技能疼痛耐受性有什么用呢,星空游戏中很多玩家对于痛疼耐受性这个技能,这个技能对于玩家收到的上还可以造成降低,是野外生存的一大助力,接下来就让九游小编给大家带来星空技能疼痛耐受性用途介绍。 星空技能疼痛耐受性用途介绍 疼痛令人难以忍受,那是因为你还不够强壮。 1级 物理伤害减少5%。 2级 物理伤害减少10%。 3级 物理伤害减少15%。 4级 你的生命值较低时,有5%几率无视物理伤害。 这个技能可以帮助玩家减少收到的物理伤害,可以让玩家提高自己的生存率。 相关推荐:星空游戏技能大全
2023-09-14在重生细胞中,玩家们可以选择变异来让自己变得更加强大。今天小编为大家带来了的就是重生细胞疼痛之网变异介绍,在这里,大家可以了解到疼痛之网变异的详细效果以及获取方法。 《重生细胞》疼痛之网变异介绍 疼痛之网(Networking)是紫流增加无属性伤害的手段之一,身上有箭矢的敌人会共享伤害。 共享伤害比例初始为20%,每增加1点战术属性,将会多增加5%,在28属性达到最高共享比例75%。 每0.2s可以触发一次。 变异描述: 身上有箭矢的敌人会共享彼此受到的伤害。 获得方式: 击杀宿主僵尸(墓地)掉落图纸,10%掉率,50个细胞解锁。 以上就是小编给大家带来的《重生细胞》疼痛之网变异介绍攻略,希望能够帮到你!
2021-03-01阴阳师妖怪屋式神喜欢吃什么食物?讨厌什么食物玩具?九游小编在这里给大家整理了阴阳师妖怪屋式神喜好厌恶物品食物大全,快来看看吧! 在本作中有着喜好和厌恶系统,玩家给式神喜好的食物和玩具可以增加亲密度,当然喂食讨厌的食物会降低!下面本文会给出阴阳师妖怪屋式神喜好厌恶物品食物攻略。 喜厌表 以上就是阴阳师妖怪屋式神喜好厌恶物品食物攻略,还不知道的玩家赶快收藏吧!
2019-09-20《小骨:英雄杀手》是2D Rogue Lite动作平台游戏。预知疼痛是游戏中的道具装备之一,不同的道具装备有不同的能力。预知疼痛的效果具体如下。 预知疼痛的效果分享 预知疼痛的效果具体如下。 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" alt="《小骨:英雄杀手》预知疼痛的效果是什么"/> 相关攻略:《小骨:英雄杀手》战士钢锤的效果是什么
2024-04-24帕拉斯加速引擎由biubiu团队倾力打造,面对当下网络游戏新变化与之产生的网络加速新痛点。我们对引擎底层协议、流量数据交互、专线调度策略进行了全面的重新梳理,研发出在极致延迟、稳定弱网上更具优势的实时多路发包、弱网对抗、动态多线,同时部署了全球海量游戏独享的高速专网,四大黑科技组成了帕拉斯引擎2.0。
精准定位游戏服务器所在地,配合专属高速网络通道直达,大幅降低游戏服务器切换带来的延迟和丢包抖动。
全球部署海量游戏独享高速专网通道,最大限度突破数据传输的物理壁垒,达到加速全程又快又稳。
检测全线多路径游戏数据,AI算法智能匹配多条游戏独享高速专网,多路+多倍发包完成加速流量保护,时刻保障极致延迟。
采用帕拉斯大数据预判重传技术,针对本地网络波动,实时补发数据包,毫秒级响应有效避免卡顿掉线。(尤其针对wi-fi连接、校园网场景有显著效果)