不祥之刃对阵 岩雀
不祥之刃 vs 岩雀在LoL版本26.11中是a very close对线。不祥之刃以50.0%胜率(+0.0%)击败岩雀，基于20场比赛。不祥之刃 holds the advantage in both the early and late game.下方您将找到不祥之刃 vs 岩雀对线的最佳不祥之刃出装、符文、对线统计和策略。
不祥之刃对线分析
使用下拉菜单选择对手，查看不祥之刃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。
不祥之刃 vs 岩雀对线谁赢？
不祥之刃对战岩雀对决摘要
不祥之刃对战岩雀在英雄联盟排位赛中是本质上是五五开的对决。根据20场近期比赛的分析，不祥之刃以50.0%的胜率获胜，相比岩雀的50.0%，给予不祥之刃 0.0个百分点的优势。 不祥之刃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。岩雀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，岩雀领先1.1s CC/min——这一差异严重影响换血和小规模团战的结果。 不祥之刃有统计优势，但差距足够接近，尊重岩雀的优势很重要。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。
不祥之刃对战岩雀对线阶段分析
不祥之刃在对线阶段对阵岩雀时更有优势，赢得5个关键统计类别中的3个。不祥之刃在伤害, 金币收入 和 续航方面有优势，使其成为这场对决中更强的对线者。
Best 不祥之刃 Build Against 岩雀
灵能使之靴是对抗岩雀的最佳鞋子选择，提供不祥之刃在这场对决中最需要的移动速度和属性。 不祥之刃对抗岩雀表现最好的核心装备是影焰, 中娅沙漏 和 巫妖之祸。这一组合给不祥之刃提供了对决所需的伤害、生存和功能的有效平衡。 这套出装在5场比赛中有20.0%胜率。虽然整体对决可能困难，但这一装备路径给不祥之刃对抗岩雀最好的机会。 可能需要根据队伍阵容和游戏状态进行调整，但这套出装为不祥之刃对战岩雀对决提供了最强的基础。
Early Game vs Late Game
不祥之刃50.0%
岩雀50.0%不祥之刃50.0%岩雀50.0%前期（前15分钟）是不祥之刃和岩雀之间的抛硬币，不祥之刃以微弱的50.0%胜率优势领先（+0.0%）。个人技术和打野位置在早期对线阶段比英雄优势更重要。
后期（25分钟以上）同样平衡，不祥之刃以50.0%胜率——仅领先岩雀 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。
这场对决在游戏的每个阶段都非常平衡。不祥之刃和岩雀都没有特定阶段的优势，使这成为一场纯粹的技术对决，个人操作、决策和团队协调决定结果。
Best 不祥之刃 Runes Against 岩雀
主宰
精密
主宰主系配精密副系的组合帮助不祥之刃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岩雀。
英雄联盟26.11版本不祥之刃对线数据。下表显示不祥之刃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，包括不祥之刃最佳出装、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 |
|---|---|---|---|---|---|---|---|
| 50.70% | 215 | 5.9 | 889 | 12,115 | 52.7% | 49.2% | |
| 48.96% | 192 | 6.0 | 854 | 12,472 | 57.8% | 41.2% | |
| 47.20% | 161 | 6.0 | 962 | 12,567 | 50.8% | 44.8% | |
| 48.73% | 158 | 6.0 | 863 | 11,912 | 50.6% | 46.8% | |
| 46.00% | 150 | 5.7 | 936 | 12,633 | 49.2% | 43.8% | |
| 55.03% | 149 | 6.0 | 948 | 12,656 | 62.9% | 49.4% | |
| 38.97% | 136 | 5.7 | 886 | 11,218 | 32.9% | 47.4% | |
| 44.62% | 130 | 5.8 | 823 | 12,102 | 50.8% | 38.8% | |
| 44.09% | 127 | 5.9 | 876 | 12,073 | 43.1% | 44.9% | |
| 50.79% | 126 | 5.9 | 1,000 | 11,858 | 50.6% | 51.0% | |
| 55.37% | 121 | 5.6 | 909 | 12,448 | 56.4% | 54.5% | |
| 49.09% | 110 | 5.8 | 962 | 12,188 | 50.0% | 48.2% | |
| 51.40% | 107 | 6.0 | 895 | 12,621 | 50.0% | 52.5% | |
| 50.98% | 102 | 5.7 | 964 | 11,399 | 50.0% | 52.0% | |
| 48.48% | 99 | 5.9 | 887 | 12,399 | 46.5% | 50.0% | |
| 53.85% | 91 | 5.8 | 848 | 12,376 | 65.8% | 45.3% | |
| 56.18% | 89 | 5.8 | 1,020 | 12,048 | 57.8% | 54.5% | |
| 49.41% | 85 | 5.6 | 839 | 10,661 | 45.1% | 55.9% | |
| 55.29% | 85 | 6.4 | 975 | 12,716 | 58.5% | 52.3% | |
| 48.78% | 82 | 5.8 | 972 | 12,233 | 44.4% | 52.2% | |
| 59.72% | 72 | 5.6 | 971 | 13,022 | 54.8% | 63.4% | |
| 61.97% | 71 | 5.7 | 954 | 12,003 | 58.8% | 64.9% | |
| 44.93% | 69 | 5.6 | 830 | 11,012 | 45.7% | 44.1% | |
| 39.13% | 69 | 5.7 | 844 | 11,369 | 43.8% | 35.1% | |
| 38.24% | 68 | 6.0 | 954 | 12,225 | 37.5% | 38.9% | |
| 59.68% | 62 | 5.8 | 1,009 | 13,594 | 61.5% | 58.3% | |
| 43.55% | 62 | 6.0 | 848 | 11,102 | 38.2% | 50.0% | |
| 52.63% | 57 | 5.7 | 884 | 12,206 | 59.4% | 44.0% | |
| 62.50% | 56 | 6.2 | 933 | 12,707 | 75.0% | 53.1% | |
| 48.21% | 56 | 6.2 | 968 | 12,199 | 43.8% | 54.2% | |
| 50.91% | 55 | 6.2 | 997 | 11,941 | 48.4% | 54.2% | |
| 42.31% | 52 | 6.0 | 964 | 12,035 | 56.5% | 31.0% | |
| 58.00% | 50 | 5.9 | 1,044 | 13,932 | 70.6% | 51.5% | |
| 44.00% | 50 | 5.8 | 956 | 11,528 | 34.4% | 61.1% | |
| 38.30% | 47 | 5.5 | 899 | 12,553 | 40.0% | 37.0% | |
| 57.78% | 45 | 5.8 | 898 | 12,104 | 50.0% | 64.0% | |
| 51.16% | 43 | 6.0 | 981 | 12,597 | 47.6% | 54.5% | |
| 46.51% | 43 | 6.1 | 1,079 | 12,712 | 56.3% | 40.7% | |
| 51.22% | 41 | 5.9 | 925 | 12,494 | 58.8% | 45.8% | |
| 43.24% | 37 | 5.7 | 965 | 12,716 | 35.0% | 52.9% | |
| 31.25% | 32 | 6.1 | 910 | 11,813 | 26.3% | 38.5% | |
| 50.00% | 32 | 5.9 | 845 | 11,799 | 33.3% | 64.7% | |
| 54.84% | 31 | 5.8 | 956 | 12,622 | 46.1% | 61.1% | |
| 35.48% | 31 | 5.7 | 941 | 11,929 | 33.3% | 37.5% | |
| 60.71% | 28 | 5.9 | 1,048 | 13,760 | 85.7% | 35.7% | |
| 59.26% | 27 | 6.2 | 970 | 14,607 | 66.7% | 55.6% | |
| 55.56% | 27 | 5.5 | 740 | 11,264 | 30.0% | 70.6% | |
| 34.62% | 26 | 5.6 | 744 | 10,872 | 33.3% | 35.7% | |
| 54.17% | 24 | 6.3 | 1,046 | 12,561 | 36.4% | 69.2% | |
| 54.17% | 24 | 5.5 | 826 | 10,361 | 46.7% | 66.7% | |
| 41.67% | 24 | 5.6 | 970 | 13,725 | 27.3% | 53.9% | |
| 52.38% | 21 | 5.9 | 934 | 12,020 | 54.5% | 50.0% | |
| 52.38% | 21 | 6.3 | 947 | 13,833 | 75.0% | 38.5% | |
| 61.90% | 21 | 5.5 | 978 | 14,202 | 77.8% | 50.0% | |
| 55.00% | 20 | 6.0 | 840 | 12,593 | 60.0% | 50.0% | |
| 50.00% | 20 | 5.8 | 914 | 13,004 | 50.0% | 50.0% | |
| 50.00% | 20 | 5.8 | 834 | 12,355 | 37.5% | 58.3% | |
| 57.89% | 19 | 5.8 | 937 | 13,224 | 50.0% | 66.7% | |
| 26.32% | 19 | 5.9 | 886 | 10,531 | 27.3% | 25.0% | |
| 44.44% | 18 | 5.5 | 818 | 12,254 | 22.2% | 66.7% | |
| 35.29% | 17 | 5.6 | 882 | 12,838 | 28.6% | 40.0% | |
| 31.25% | 16 | 5.5 | 833 | 10,591 | 25.0% | 37.5% | |
| 33.33% | 15 | 6.0 | 1,033 | 12,799 | 33.3% | 33.3% | |
| 64.29% | 14 | 6.5 | 1,171 | 15,732 | 75.0% | 50.0% | |
| 38.46% | 13 | 5.6 | 1,148 | 14,140 | 25.0% | 60.0% | |
| 50.00% | 12 | 5.9 | 1,031 | 13,271 | 50.0% | 50.0% | |
| 33.33% | 12 | 5.0 | 756 | 11,371 | 0.0% | 50.0% | |
| 58.33% | 12 | 6.3 | 939 | 12,294 | 71.4% | 40.0% | |
| 45.45% | 11 | 6.1 | 771 | 11,408 | 66.7% | 37.5% | |
| 54.55% | 11 | 5.3 | 1,229 | 11,907 | 25.0% | 71.4% | |
| 45.45% | 11 | 5.9 | 861 | 11,175 | 50.0% | 40.0% | |
| 63.64% | 11 | 6.2 | 801 | 13,301 | 66.7% | 62.5% | |
| 30.00% | 10 | 5.5 | 1,103 | 14,079 | 50.0% | 25.0% | |
| 40.00% | 10 | 5.4 | 737 | 11,169 | 50.0% | 33.3% | |
| 30.00% | 10 | 5.6 | 969 | 10,759 | 40.0% | 20.0% | |
| 50.00% | 10 | 6.1 | 944 | 14,876 | 0.0% | 50.0% | |
| 60.00% | 10 | 5.7 | 957 | 12,122 | 60.0% | 60.0% | |
| 60.00% | 10 | 5.8 | 987 | 11,183 | 60.0% | 60.0% | |
| 40.00% | 10 | 5.5 | 932 | 13,248 | 37.5% | 50.0% | |
| 77.78% | 9 | 5.2 | 986 | 15,518 | 50.0% | 85.7% | |
| 55.56% | 9 | 6.2 | 1,025 | 14,456 | 100.0% | 33.3% | |
| 25.00% | 8 | 5.9 | 1,093 | 12,094 | 33.3% | 0.0% | |
| 12.50% | 8 | 5.7 | 586 | 9,011 | 0.0% | 50.0% | |
| 25.00% | 8 | 6.2 | 1,159 | 15,199 | 66.7% | 0.0% | |
| 25.00% | 8 | 5.3 | 552 | 7,264 | 40.0% | 0.0% | |
| 62.50% | 8 | 5.5 | 1,050 | 14,547 | 75.0% | 50.0% | |
| 87.50% | 8 | 5.3 | 870 | 10,243 | 75.0% | 100.0% | |
| 37.50% | 8 | 6.4 | 1,064 | 13,831 | 50.0% | 25.0% | |
| 75.00% | 8 | 5.6 | 1,296 | 11,826 | 100.0% | 60.0% | |
| 87.50% | 8 | 5.9 | 990 | 11,819 | 100.0% | 75.0% | |
| 75.00% | 8 | 5.3 | 819 | 9,081 | 83.3% | 50.0% | |
| 50.00% | 8 | 5.9 | 1,124 | 14,169 | 0.0% | 66.7% | |
| 57.14% | 7 | 5.3 | 793 | 10,190 | 40.0% | 100.0% | |
| 14.29% | 7 | 5.2 | 832 | 16,245 | 0.0% | 14.3% | |
| 42.86% | 7 | 6.3 | 785 | 11,282 | 0.0% | 100.0% | |
| 83.33% | 6 | 5.1 | 1,353 | 12,978 | 100.0% | 66.7% | |
| 33.33% | 6 | 6.3 | 920 | 12,603 | 20.0% | 100.0% | |
| 66.67% | 6 | 6.9 | 1,147 | 12,786 | 75.0% | 50.0% | |
| 16.67% | 6 | 5.7 | 698 | 8,898 | 25.0% | 0.0% | |
| 83.33% | 6 | 6.0 | 1,634 | 12,698 | 100.0% | 75.0% | |
| 60.00% | 5 | 6.7 | 1,344 | 14,948 | 100.0% | 33.3% | |
| 40.00% | 5 | 6.1 | 892 | 13,372 | 33.3% | 50.0% | |
| 40.00% | 5 | 4.9 | 935 | 11,327 | 50.0% | 33.3% | |
| 60.00% | 5 | 5.0 | 1,126 | 9,516 | 66.7% | 50.0% | |
Help us maintain accuracy! If you notice incorrect stats, missing data, or any issues, your feedback directly improves the quality of our data for the entire community.
不祥之刃 vs 岩雀 - 常见问题
在英雄联盟中，不祥之刃对岩雀表现如何？
不祥之刃以50.0%的胜率赢得不祥之刃 vs 岩雀的对决，而岩雀为50.0%，相差0.0个百分点。该数据基于26.11版本的20场近期排位赛。
在前期，不祥之刃对岩雀表现如何？
在前期，不祥之刃对岩雀占有优势，胜率为50.0%对50.0%。不祥之刃玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，不祥之刃对岩雀表现如何？
在后期，不祥之刃以50.0%对50.0%的胜率主导不祥之刃 vs 岩雀的对决。不祥之刃在25分钟后的团战和目标争夺中成长更强。
谁赢得不祥之刃 vs 岩雀的对决？
不祥之刃在英雄联盟26.11版本中以50.0%的胜率赢得对岩雀的对决。0.0个百分点的优势意味着根据20场分析的比赛，不祥之刃在这个线上对决中slightly占优。
对抗岩雀的最佳不祥之刃出装是什么？
对抗岩雀的最佳不祥之刃出装包括影焰, 中娅沙漏, 巫妖之祸 with 灵能使之靴。This build achieves a 20.0% 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。
对抗岩雀的最佳不祥之刃符文是什么？
对抗岩雀的最佳不祥之刃符文使用主宰主系和精密副系。This rune setup achieves a 50.0% win rate in the 不祥之刃 vs 岩雀 matchup. 查看上方对决比较中的完整符文分析。
不祥之刃克制岩雀吗？
是的，不祥之刃对岩雀有利，胜率为50.0%。根据当前26.11版本数据，不祥之刃在线上slightly edges out岩雀。
如何用不祥之刃对战岩雀？
当不祥之刃对战岩雀时，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。