远古巫灵对阵 不祥之刃
远古巫灵 vs 不祥之刃在LoL版本26.14中是a moderate对线。远古巫灵以51.4%胜率(+2.9%)击败不祥之刃，基于35场比赛。远古巫灵 holds the advantage in both the early and late game.下方您将找到远古巫灵 vs 不祥之刃对线的最佳远古巫灵出装、符文、对线统计和策略。
远古巫灵对线分析
使用下拉菜单选择对手，查看远古巫灵对阵他们的详细分析。您将获得正面对决胜率、对线数据、该对线的最佳出装和符文，以及前期vs后期分析——所有数据均基于真实排位数据。
远古巫灵 vs 不祥之刃对线谁赢？
远古巫灵对战不祥之刃对决摘要
远古巫灵对战不祥之刃在英雄联盟排位赛中是非常接近的对决。根据35场近期比赛的分析，远古巫灵以51.4%的胜率获胜，相比不祥之刃的48.6%，给予远古巫灵 2.9个百分点的优势。 远古巫灵在前期和后期都有轻微优势，但差距足够小，个人技术和打野关注往往决定结果。不祥之刃仍然可以通过精彩操作和团队协作找到机会。 最显著的统计差距在控制技能方面，远古巫灵领先0.7s CC/min——这一差异严重影响换血和小规模团战的结果。 远古巫灵有统计优势，但差距足够接近，尊重不祥之刃的优势很重要。在冷却时间有利时换血，追踪敌方打野，并朝着你最强的装备节点构建，将轻微优势转化为决定性领先。 理解这些对决动态对于英雄选择决策和面对该线上对手时的游戏内策略至关重要。
远古巫灵对战不祥之刃对线阶段分析
远古巫灵在对线阶段对阵不祥之刃时更有优势，赢得5个关键统计类别中的3个。远古巫灵在补刀, 伤害 和 控制技能方面有优势，使其成为这场对决中更强的对线者。
Best 远古巫灵 Build Against 不祥之刃
灵能使之靴是对抗不祥之刃的最佳鞋子选择，提供远古巫灵在这场对决中最需要的移动速度和属性。 远古巫灵对抗不祥之刃表现最好的核心装备是卢登的回声, 影焰 和 视界专注。这一组合给远古巫灵提供了对决所需的伤害、生存和功能的有效平衡。 这套出装表现出色，在7场比赛中达到85.7%胜率——远高于平均水平，使其成为对抗不祥之刃的最佳装备路径。 可能需要根据队伍阵容和游戏状态进行调整，但这套出装为远古巫灵对战不祥之刃对决提供了最强的基础。
Early Game vs Late Game
远古巫灵54.5%
不祥之刃45.5%远古巫灵50.0%不祥之刃50.0%远古巫灵以令人印象深刻的54.5%胜率主导前期（前15分钟）——领先不祥之刃 9.1个百分点。这一不平衡的前期意味着远古巫灵可以从1级开始决定线上节奏，控制换血、兵线状态和河道优先权。
后期（25分钟以上）同样平衡，远古巫灵以50.0%胜率——仅领先不祥之刃 0.0点。团战执行和宏观游戏决定这一阶段的胜者，而非英雄对决优势。
远古巫灵在游戏的每个阶段都保持优势，使这成为从对线到后期团战都一贯有利的对决。不祥之刃玩家应该寻找精彩操作、依赖团队的策略和抓人，而不是依赖成长来赢得这场对决。
Best 远古巫灵 Runes Against 不祥之刃
启迪
巫术
启迪主系配巫术副系的组合帮助远古巫灵在这场激烈竞争的对决中最大化潜力，提供正确的进攻和防守工具组合来超越不祥之刃。
英雄联盟26.14版本远古巫灵对线数据。下表显示远古巫灵对阵当前版本每个英雄的胜率、经济差和表现统计。点击任意英雄名称可查看详细对位分析，包括远古巫灵最佳出装、符文、对线数据和该对线的前期与后期分析。
对手 | 胜率 | 场次 | CS/分钟 | 伤害/分 | 金币/局 | 前期胜率 | 后期胜率 |
|---|---|---|---|---|---|---|---|
| 57.75% | 187 | 3.7 | 930 | 11,446 | 61.9% | 55.6% | |
| 50.72% | 138 | 2.5 | 828 | 10,115 | 55.8% | 47.7% | |
| 56.44% | 101 | 6.5 | 1,052 | 12,103 | 65.6% | 52.2% | |
| 58.95% | 95 | 6.1 | 995 | 11,301 | 59.5% | 58.6% | |
| 56.98% | 86 | 4.8 | 1,019 | 12,029 | 58.8% | 55.8% | |
| 60.26% | 78 | 2.8 | 902 | 11,002 | 53.9% | 63.5% | |
| 51.43% | 70 | 2.1 | 840 | 9,712 | 46.4% | 54.8% | |
| 47.83% | 69 | 5.8 | 903 | 11,455 | 50.0% | 46.5% | |
| 51.52% | 66 | 6.5 | 1,034 | 12,435 | 68.0% | 41.5% | |
| 61.54% | 65 | 6.7 | 1,021 | 12,295 | 65.4% | 59.0% | |
| 50.00% | 64 | 6.7 | 955 | 11,216 | 64.3% | 38.9% | |
| 55.56% | 63 | 5.8 | 1,047 | 11,805 | 58.3% | 53.9% | |
| 57.38% | 61 | 3.4 | 951 | 11,415 | 62.5% | 55.6% | |
| 55.00% | 60 | 6.0 | 948 | 11,522 | 71.4% | 46.1% | |
| 55.00% | 60 | 6.0 | 1,063 | 11,980 | 57.7% | 52.9% | |
| 56.90% | 58 | 6.3 | 1,100 | 11,134 | 54.5% | 58.3% | |
| 40.35% | 57 | 2.0 | 784 | 9,972 | 47.8% | 35.3% | |
| 41.07% | 56 | 5.9 | 936 | 10,287 | 57.1% | 31.4% | |
| 55.56% | 54 | 2.8 | 862 | 10,416 | 52.4% | 57.6% | |
| 54.00% | 50 | 3.5 | 1,007 | 11,685 | 61.5% | 51.4% | |
| 46.00% | 50 | 5.3 | 893 | 11,265 | 63.2% | 35.5% | |
| 51.02% | 49 | 5.5 | 1,014 | 11,319 | 36.8% | 60.0% | |
| 43.75% | 48 | 2.0 | 848 | 9,615 | 47.1% | 41.9% | |
| 57.45% | 47 | 6.3 | 1,065 | 12,400 | 71.4% | 46.1% | |
| 42.55% | 47 | 2.1 | 772 | 9,371 | 42.9% | 42.3% | |
| 51.16% | 43 | 2.1 | 778 | 9,136 | 52.2% | 50.0% | |
| 56.10% | 41 | 2.1 | 693 | 9,022 | 44.4% | 65.2% | |
| 42.11% | 38 | 2.4 | 837 | 10,693 | 50.0% | 38.5% | |
| 47.37% | 38 | 6.6 | 1,110 | 12,666 | 50.0% | 46.4% | |
| 61.11% | 36 | 5.4 | 1,101 | 12,573 | 66.7% | 58.3% | |
| 51.43% | 35 | 6.0 | 1,031 | 12,373 | 54.5% | 50.0% | |
| 50.00% | 34 | 2.3 | 998 | 10,833 | 45.5% | 52.2% | |
| 70.59% | 34 | 6.4 | 1,073 | 12,481 | 62.5% | 73.1% | |
| 42.42% | 33 | 6.6 | 970 | 11,971 | 66.7% | 28.6% | |
| 57.58% | 33 | 3.0 | 1,021 | 10,624 | 61.5% | 55.0% | |
| 46.88% | 32 | 5.6 | 902 | 11,835 | 37.5% | 50.0% | |
| 53.13% | 32 | 6.6 | 1,161 | 11,353 | 50.0% | 54.5% | |
| 46.67% | 30 | 2.0 | 811 | 9,196 | 45.5% | 47.4% | |
| 46.67% | 30 | 3.0 | 896 | 11,059 | 40.0% | 53.3% | |
| 48.28% | 29 | 5.7 | 1,137 | 12,124 | 61.5% | 37.5% | |
| 40.74% | 27 | 5.7 | 1,056 | 12,695 | 57.1% | 35.0% | |
| 37.04% | 27 | 2.1 | 789 | 9,740 | 55.6% | 27.8% | |
| 48.15% | 27 | 6.5 | 1,048 | 10,892 | 61.5% | 35.7% | |
| 62.96% | 27 | 2.2 | 926 | 11,639 | 62.5% | 63.2% | |
| 66.67% | 27 | 6.1 | 1,238 | 13,158 | 60.0% | 68.2% | |
| 53.85% | 26 | 2.2 | 780 | 9,231 | 60.0% | 50.0% | |
| 30.77% | 26 | 2.0 | 786 | 9,938 | 10.0% | 43.8% | |
| 44.00% | 25 | 5.4 | 1,075 | 11,747 | 50.0% | 41.2% | |
| 44.00% | 25 | 5.9 | 875 | 10,719 | 50.0% | 40.0% | |
| 44.00% | 25 | 2.4 | 786 | 9,160 | 54.5% | 35.7% | |
| 60.00% | 25 | 6.6 | 954 | 12,055 | 60.0% | 60.0% | |
| 66.67% | 24 | 6.0 | 1,074 | 12,974 | 80.0% | 63.2% | |
| 47.83% | 23 | 6.0 | 1,022 | 11,397 | 54.5% | 41.7% | |
| 69.57% | 23 | 6.2 | 968 | 10,725 | 75.0% | 66.7% | |
| 45.45% | 22 | 6.4 | 1,226 | 13,670 | 66.7% | 37.5% | |
| 59.09% | 22 | 3.2 | 955 | 11,768 | 42.9% | 66.7% | |
| 33.33% | 21 | 6.4 | 1,145 | 10,429 | 22.2% | 41.7% | |
| 38.10% | 21 | 5.4 | 1,037 | 11,073 | 57.1% | 28.6% | |
| 66.67% | 21 | 4.3 | 1,004 | 12,850 | 100.0% | 50.0% | |
| 61.90% | 21 | 6.3 | 1,111 | 13,781 | 75.0% | 53.9% | |
| 33.33% | 21 | 5.9 | 960 | 9,961 | 22.2% | 41.7% | |
| 57.14% | 21 | 6.7 | 1,137 | 13,521 | 50.0% | 58.8% | |
| 50.00% | 20 | 2.6 | 909 | 10,556 | 50.0% | 50.0% | |
| 73.68% | 19 | 1.8 | 775 | 9,650 | 85.7% | 66.7% | |
| 57.89% | 19 | 5.9 | 1,056 | 13,553 | 40.0% | 64.3% | |
| 61.11% | 18 | 6.4 | 1,019 | 13,370 | 85.7% | 45.5% | |
| 33.33% | 18 | 2.0 | 804 | 8,787 | 33.3% | 33.3% | |
| 44.44% | 18 | 6.2 | 892 | 11,036 | 55.6% | 33.3% | |
| 52.94% | 17 | 2.1 | 612 | 8,623 | 62.5% | 44.4% | |
| 70.59% | 17 | 3.5 | 894 | 12,074 | 80.0% | 66.7% | |
| 52.94% | 17 | 1.9 | 747 | 8,420 | 57.1% | 50.0% | |
| 64.71% | 17 | 2.3 | 889 | 10,599 | 60.0% | 66.7% | |
| 43.75% | 16 | 6.4 | 1,175 | 13,827 | 50.0% | 41.7% | |
| 62.50% | 16 | 6.5 | 1,125 | 11,398 | 60.0% | 66.7% | |
| 40.00% | 15 | 6.1 | 1,080 | 14,026 | 66.7% | 33.3% | |
| 73.33% | 15 | 1.8 | 886 | 9,556 | 71.4% | 75.0% | |
| 40.00% | 15 | 6.4 | 989 | 12,658 | 20.0% | 50.0% | |
| 66.67% | 15 | 2.1 | 985 | 9,551 | 50.0% | 77.8% | |
| 64.29% | 14 | 6.5 | 984 | 10,898 | 57.1% | 71.4% | |
| 58.33% | 12 | 5.9 | 1,088 | 8,865 | 55.6% | 66.7% | |
| 90.91% | 11 | 6.3 | 1,149 | 12,328 | 75.0% | 100.0% | |
| 36.36% | 11 | 5.8 | 1,006 | 11,670 | 0.0% | 50.0% | |
| 45.45% | 11 | 4.2 | 1,091 | 11,152 | 25.0% | 57.1% | |
| 60.00% | 10 | 6.3 | 863 | 9,562 | 75.0% | 50.0% | |
| 50.00% | 10 | 6.3 | 967 | 12,630 | 66.7% | 42.9% | |
| 40.00% | 10 | 6.3 | 1,043 | 14,696 | 25.0% | 50.0% | |
| 33.33% | 9 | 7.1 | 1,077 | 10,202 | 40.0% | 25.0% | |
| 44.44% | 9 | 4.5 | 1,078 | 12,021 | 0.0% | 57.1% | |
| 66.67% | 9 | 3.5 | 741 | 8,771 | 100.0% | 50.0% | |
| 37.50% | 8 | 2.3 | 778 | 9,316 | 50.0% | 33.3% | |
| 50.00% | 8 | 6.1 | 955 | 13,190 | 50.0% | 50.0% | |
| 37.50% | 8 | 2.3 | 848 | 8,614 | 40.0% | 33.3% | |
| 75.00% | 8 | 2.0 | 807 | 10,297 | 75.0% | 75.0% | |
| 37.50% | 8 | 6.5 | 959 | 9,684 | 66.7% | 20.0% | |
| 28.57% | 7 | 6.0 | 1,112 | 9,574 | 66.7% | 0.0% | |
| 57.14% | 7 | 2.5 | 705 | 8,514 | 66.7% | 50.0% | |
| 57.14% | 7 | 1.9 | 994 | 8,527 | 25.0% | 100.0% | |
| 57.14% | 7 | 6.2 | 1,101 | 14,236 | 100.0% | 25.0% | |
| 50.00% | 6 | 7.3 | 879 | 12,401 | 33.3% | 66.7% | |
| 66.67% | 6 | 2.8 | 851 | 8,649 | 66.7% | 66.7% | |
| 50.00% | 6 | 6.3 | 829 | 12,884 | 0.0% | 75.0% | |
| 33.33% | 6 | 4.2 | 795 | 7,158 | 50.0% | 0.0% | |
| 83.33% | 6 | 7.2 | 1,090 | 15,583 | 100.0% | 80.0% | |
| 80.00% | 5 | 5.8 | 896 | 11,242 | 100.0% | 66.7% | |
| 40.00% | 5 | 6.2 | 843 | 11,012 | 0.0% | 50.0% | |
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远古巫灵 vs 不祥之刃 - 常见问题
在英雄联盟中，远古巫灵对不祥之刃表现如何？
远古巫灵以51.4%的胜率赢得远古巫灵 vs 不祥之刃的对决，而不祥之刃为48.6%，相差2.9个百分点。该数据基于26.14版本的35场近期排位赛。
在前期，远古巫灵对不祥之刃表现如何？
在前期，远古巫灵对不祥之刃占有优势，胜率为54.5%对45.5%。远古巫灵玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，远古巫灵对不祥之刃表现如何？
在后期，远古巫灵以50.0%对50.0%的胜率主导远古巫灵 vs 不祥之刃的对决。远古巫灵在25分钟后的团战和目标争夺中成长更强。
谁赢得远古巫灵 vs 不祥之刃的对决？
远古巫灵在英雄联盟26.14版本中以51.4%的胜率赢得对不祥之刃的对决。2.9个百分点的优势意味着根据35场分析的比赛，远古巫灵在这个线上对决中moderately占优。
对抗不祥之刃的最佳远古巫灵出装是什么？
对抗不祥之刃的最佳远古巫灵出装包括卢登的回声, 影焰, 视界专注 with 灵能使之靴。This build achieves a 85.7% win rate in the matchup. 查看上方的对决分析了解完整的出装路线和顺序。
对抗不祥之刃的最佳远古巫灵符文是什么？
对抗不祥之刃的最佳远古巫灵符文使用启迪主系和巫术副系。This rune setup achieves a 55.6% win rate in the 远古巫灵 vs 不祥之刃 matchup. 查看上方对决比较中的完整符文分析。
远古巫灵克制不祥之刃吗？
是的，远古巫灵对不祥之刃有利，胜率为51.4%。根据当前26.14版本数据，远古巫灵在线上has a solid advantage over不祥之刃。
如何用远古巫灵对战不祥之刃？
当远古巫灵对战不祥之刃时，利用你的统计优势在有利的窗口期积极换血。You have early game priority — look for kills and zone control before first recall. 使用该对决专用的推荐装备和符文以获得最佳效果。