百裂冥犬对阵 刀锋之影
百裂冥犬 vs 刀锋之影在LoL版本26.11中是a moderate对线。百裂冥犬以51.9%胜率(+3.7%)击败刀锋之影，基于81场比赛。百裂冥犬 holds the advantage in both the early and late game.下方您将找到百裂冥犬 vs 刀锋之影对线的最佳百裂冥犬出装、符文、对线统计和策略。
百裂冥犬对线分析
使用下拉菜单选择对手，查看百裂冥犬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。
百裂冥犬 vs 刀锋之影对线谁赢？
百裂冥犬对战刀锋之影对决摘要
百裂冥犬对战刀锋之影在英雄联盟排位赛中是中等程度的对决。根据81场近期比赛的分析，百裂冥犬以51.9%的胜率获胜，相比刀锋之影的48.1%，给予百裂冥犬 3.7个百分点的优势。 百裂冥犬在每个阶段都占据主导——从早期对线到后期团战。这种持续的优势使刀锋之影玩家难以找到有利窗口，因此依赖团队的策略和避免单挑至关重要。 最显著的统计差距在控制技能方面，刀锋之影领先0.1s CC/min——这一差异严重影响换血和小规模团战的结果。 百裂冥犬有统计优势，但差距足够接近，尊重刀锋之影的优势很重要。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。
百裂冥犬对战刀锋之影对线阶段分析
刀锋之影在对线阶段对阵百裂冥犬时更有优势，赢得5个关键统计类别中的5个。刀锋之影在补刀, 伤害, 金币收入, 控制技能 和 续航方面有优势，使其成为这场对决中更强的对线者。
Best 百裂冥犬 Build Against 刀锋之影
暴食胫甲是对抗刀锋之影的最佳鞋子选择，提供百裂冥犬在这场对决中最需要的移动速度和属性。 百裂冥犬对抗刀锋之影表现最好的核心装备是电震涡流剑, 公理圆弧 和 赛瑞尔达的怨恨。这一组合给百裂冥犬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12场比赛中达到75.0%胜率——远高于平均水平，使其成为对抗刀锋之影的最佳装备路径。 可能需要根据队伍阵容和游戏状态进行调整，但这套出装为百裂冥犬对战刀锋之影对决提供了最强的基础。
Early Game vs Late Game
百裂冥犬54.5%
刀锋之影45.5%百裂冥犬50.0%刀锋之影50.0%百裂冥犬以令人印象深刻的54.5%胜率主导前期（前15分钟）——领先刀锋之影 9.1个百分点。这一不平衡的前期意味着百裂冥犬可以从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，百裂冥犬以50.0%胜率——仅领先刀锋之影 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。
百裂冥犬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。刀锋之影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 百裂冥犬 Runes Against 刀锋之影
精密
启迪
使用精密主系配启迪副系允许百裂冥犬压制对刀锋之影的优势，放大使这场对决有利的优势。
英雄联盟26.11版本百裂冥犬对线数据。下表显示百裂冥犬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，包括百裂冥犬最佳出装、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 |
|---|---|---|---|---|---|---|---|
| 51.12% | 178 | 3.4 | 793 | 12,181 | 47.7% | 54.4% | |
| 49.41% | 170 | 1.1 | 738 | 12,679 | 57.5% | 43.3% | |
| 60.14% | 148 | 6.3 | 912 | 12,156 | 59.7% | 60.5% | |
| 44.20% | 138 | 1.2 | 693 | 12,380 | 48.5% | 40.0% | |
| 45.52% | 134 | 6.2 | 954 | 12,909 | 50.0% | 41.4% | |
| 42.11% | 133 | 1.2 | 738 | 13,044 | 42.3% | 42.0% | |
| 41.67% | 132 | 5.6 | 845 | 12,301 | 34.6% | 46.3% | |
| 46.56% | 131 | 6.1 | 854 | 12,664 | 50.0% | 44.2% | |
| 51.20% | 125 | 4.0 | 844 | 12,370 | 45.5% | 55.7% | |
| 55.74% | 122 | 1.2 | 728 | 12,954 | 52.6% | 58.5% | |
| 45.90% | 122 | 6.2 | 943 | 13,047 | 37.5% | 51.4% | |
| 46.61% | 118 | 1.3 | 751 | 13,289 | 47.3% | 46.0% | |
| 58.47% | 118 | 1.1 | 734 | 13,216 | 63.8% | 53.3% | |
| 47.79% | 113 | 5.2 | 856 | 12,423 | 51.1% | 45.5% | |
| 48.65% | 111 | 6.0 | 942 | 12,309 | 43.2% | 52.2% | |
| 60.38% | 106 | 6.1 | 850 | 12,662 | 55.6% | 63.9% | |
| 53.85% | 104 | 6.1 | 882 | 12,241 | 56.8% | 51.7% | |
| 52.00% | 100 | 6.3 | 929 | 12,690 | 58.5% | 47.5% | |
| 50.00% | 96 | 1.2 | 798 | 13,485 | 52.5% | 48.2% | |
| 53.68% | 95 | 4.4 | 1,041 | 13,148 | 61.0% | 48.1% | |
| 45.26% | 95 | 3.5 | 836 | 12,203 | 44.4% | 46.3% | |
| 48.39% | 93 | 1.2 | 761 | 13,397 | 47.4% | 49.1% | |
| 42.86% | 91 | 1.4 | 770 | 11,870 | 40.4% | 45.5% | |
| 49.40% | 83 | 1.3 | 670 | 11,521 | 53.3% | 44.7% | |
| 51.85% | 81 | 2.7 | 782 | 12,882 | 54.5% | 50.0% | |
| 57.14% | 70 | 6.0 | 841 | 11,968 | 51.6% | 61.5% | |
| 46.38% | 69 | 6.2 | 1,023 | 12,777 | 59.3% | 38.1% | |
| 55.07% | 69 | 6.4 | 879 | 11,577 | 54.3% | 55.9% | |
| 53.85% | 65 | 6.5 | 878 | 12,011 | 63.6% | 43.8% | |
| 44.44% | 63 | 6.3 | 928 | 13,378 | 41.7% | 46.1% | |
| 55.00% | 60 | 5.8 | 902 | 12,875 | 52.2% | 56.8% | |
| 51.72% | 58 | 1.3 | 832 | 13,943 | 60.7% | 43.3% | |
| 56.14% | 57 | 5.1 | 834 | 13,317 | 45.8% | 63.6% | |
| 45.61% | 57 | 1.2 | 740 | 13,489 | 55.0% | 40.5% | |
| 50.91% | 55 | 6.4 | 951 | 11,481 | 48.6% | 55.0% | |
| 48.15% | 54 | 2.4 | 846 | 13,414 | 50.0% | 46.7% | |
| 46.30% | 54 | 6.0 | 1,054 | 13,521 | 54.5% | 40.6% | |
| 46.30% | 54 | 6.3 | 926 | 12,674 | 48.1% | 44.4% | |
| 59.26% | 54 | 6.1 | 847 | 12,146 | 60.0% | 58.6% | |
| 45.28% | 53 | 6.0 | 850 | 11,461 | 50.0% | 40.7% | |
| 30.19% | 53 | 1.0 | 736 | 12,707 | 30.8% | 29.6% | |
| 45.28% | 53 | 1.4 | 815 | 13,171 | 37.5% | 51.7% | |
| 49.06% | 53 | 1.1 | 692 | 12,259 | 57.1% | 40.0% | |
| 54.00% | 50 | 6.6 | 957 | 12,463 | 61.9% | 48.3% | |
| 48.00% | 50 | 1.2 | 794 | 13,983 | 55.6% | 43.8% | |
| 50.00% | 50 | 6.0 | 959 | 12,599 | 52.0% | 48.0% | |
| 44.90% | 49 | 1.1 | 658 | 12,623 | 52.4% | 39.3% | |
| 45.83% | 48 | 1.1 | 752 | 11,652 | 37.5% | 54.2% | |
| 54.17% | 48 | 1.4 | 699 | 13,182 | 56.0% | 52.2% | |
| 56.52% | 46 | 3.6 | 801 | 11,580 | 65.4% | 45.0% | |
| 57.78% | 45 | 6.2 | 969 | 12,683 | 63.2% | 53.9% | |
| 57.78% | 45 | 6.3 | 1,046 | 14,261 | 84.2% | 38.5% | |
| 54.55% | 44 | 2.8 | 806 | 12,492 | 60.9% | 47.6% | |
| 61.36% | 44 | 5.5 | 956 | 13,742 | 62.5% | 60.7% | |
| 39.53% | 43 | 4.8 | 772 | 12,661 | 23.8% | 54.5% | |
| 57.14% | 42 | 6.3 | 844 | 12,331 | 61.9% | 52.4% | |
| 42.50% | 40 | 2.1 | 899 | 14,847 | 50.0% | 38.5% | |
| 51.28% | 39 | 1.1 | 708 | 11,955 | 50.0% | 52.6% | |
| 48.72% | 39 | 1.1 | 811 | 13,384 | 50.0% | 47.4% | |
| 50.00% | 38 | 6.1 | 891 | 11,874 | 50.0% | 50.0% | |
| 48.65% | 37 | 6.2 | 851 | 11,692 | 56.3% | 42.9% | |
| 58.33% | 36 | 1.6 | 732 | 12,296 | 68.4% | 47.1% | |
| 36.11% | 36 | 6.1 | 865 | 12,255 | 46.1% | 30.4% | |
| 57.14% | 35 | 4.1 | 954 | 13,384 | 60.0% | 55.0% | |
| 51.43% | 35 | 3.3 | 892 | 13,146 | 53.3% | 50.0% | |
| 61.76% | 34 | 5.8 | 891 | 13,547 | 63.6% | 60.9% | |
| 64.71% | 34 | 1.8 | 811 | 12,319 | 66.7% | 62.5% | |
| 58.82% | 34 | 6.1 | 1,052 | 12,476 | 68.8% | 50.0% | |
| 61.76% | 34 | 4.4 | 907 | 12,427 | 57.9% | 66.7% | |
| 54.55% | 33 | 6.0 | 1,010 | 13,694 | 50.0% | 57.1% | |
| 53.13% | 32 | 1.2 | 866 | 13,459 | 61.5% | 47.4% | |
| 53.13% | 32 | 4.0 | 924 | 11,165 | 62.5% | 43.8% | |
| 43.33% | 30 | 5.6 | 1,009 | 12,369 | 50.0% | 38.9% | |
| 46.67% | 30 | 3.7 | 882 | 12,503 | 57.1% | 37.5% | |
| 43.33% | 30 | 6.2 | 1,067 | 11,740 | 40.0% | 46.7% | |
| 40.00% | 30 | 6.3 | 970 | 12,031 | 21.4% | 56.3% | |
| 50.00% | 28 | 1.3 | 803 | 12,739 | 61.5% | 40.0% | |
| 60.71% | 28 | 3.1 | 906 | 12,472 | 53.9% | 66.7% | |
| 55.56% | 27 | 1.6 | 785 | 13,863 | 66.7% | 50.0% | |
| 48.00% | 25 | 4.2 | 936 | 14,439 | 50.0% | 47.1% | |
| 60.00% | 25 | 6.5 | 994 | 12,110 | 57.1% | 63.6% | |
| 56.00% | 25 | 5.7 | 856 | 13,249 | 72.7% | 42.9% | |
| 45.83% | 24 | 1.3 | 797 | 11,669 | 46.7% | 44.4% | |
| 69.57% | 23 | 6.4 | 877 | 12,446 | 80.0% | 61.5% | |
| 56.52% | 23 | 4.9 | 1,142 | 12,151 | 64.3% | 44.4% | |
| 43.48% | 23 | 3.9 | 986 | 12,661 | 27.3% | 58.3% | |
| 54.55% | 22 | 1.1 | 729 | 11,335 | 69.2% | 33.3% | |
| 40.91% | 22 | 4.3 | 890 | 11,960 | 30.0% | 50.0% | |
| 36.36% | 22 | 1.0 | 757 | 13,074 | 40.0% | 33.3% | |
| 57.14% | 21 | 6.8 | 963 | 12,269 | 50.0% | 66.7% | |
| 47.62% | 21 | 6.1 | 890 | 12,398 | 44.4% | 50.0% | |
| 70.00% | 20 | 6.9 | 933 | 11,523 | 71.4% | 66.7% | |
| 47.37% | 19 | 4.7 | 1,012 | 14,112 | 57.1% | 41.7% | |
| 66.67% | 18 | 1.1 | 826 | 13,126 | 55.6% | 77.8% | |
| 61.11% | 18 | 5.3 | 853 | 12,985 | 55.6% | 66.7% | |
| 55.56% | 18 | 6.3 | 875 | 11,165 | 53.9% | 60.0% | |
| 55.56% | 18 | 3.5 | 858 | 13,074 | 54.5% | 57.1% | |
| 52.94% | 17 | 6.1 | 901 | 11,917 | 42.9% | 60.0% | |
| 47.06% | 17 | 6.0 | 909 | 13,207 | 57.1% | 40.0% | |
| 64.71% | 17 | 1.1 | 849 | 13,074 | 75.0% | 55.6% | |
| 50.00% | 16 | 5.6 | 925 | 12,778 | 20.0% | 63.6% | |
| 40.00% | 15 | 3.6 | 935 | 11,490 | 50.0% | 28.6% | |
| 40.00% | 15 | 0.9 | 705 | 11,537 | 28.6% | 50.0% | |
| 35.71% | 14 | 3.6 | 812 | 12,271 | 14.3% | 57.1% | |
| 50.00% | 14 | 6.2 | 1,054 | 11,870 | 60.0% | 44.4% | |
| 61.54% | 13 | 5.5 | 699 | 10,568 | 42.9% | 83.3% | |
| 53.85% | 13 | 6.1 | 1,081 | 14,261 | 50.0% | 57.1% | |
| 69.23% | 13 | 6.8 | 1,030 | 13,319 | 83.3% | 57.1% | |
| 76.92% | 13 | 4.5 | 1,056 | 14,394 | 66.7% | 80.0% | |
| 53.85% | 13 | 6.0 | 1,027 | 13,755 | 75.0% | 44.4% | |
| 58.33% | 12 | 1.4 | 870 | 13,928 | 42.9% | 80.0% | |
| 50.00% | 12 | 5.9 | 1,000 | 11,599 | 50.0% | 50.0% | |
| 72.73% | 11 | 5.3 | 745 | 11,844 | 100.0% | 50.0% | |
| 54.55% | 11 | 6.6 | 964 | 11,748 | 40.0% | 66.7% | |
| 54.55% | 11 | 4.8 | 1,112 | 11,939 | 16.7% | 100.0% | |
| 50.00% | 10 | 5.7 | 792 | 11,901 | 20.0% | 80.0% | |
| 60.00% | 10 | 3.0 | 918 | 12,883 | 60.0% | 60.0% | |
| 33.33% | 9 | 5.5 | 1,308 | 14,466 | 0.0% | 42.9% | |
| 33.33% | 9 | 0.8 | 761 | 12,834 | 25.0% | 40.0% | |
| 44.44% | 9 | 5.3 | 827 | 9,840 | 40.0% | 50.0% | |
| 77.78% | 9 | 4.4 | 933 | 12,500 | 80.0% | 75.0% | |
| 75.00% | 8 | 5.4 | 850 | 11,837 | 100.0% | 60.0% | |
| 50.00% | 8 | 6.6 | 1,029 | 10,930 | 100.0% | 0.0% | |
| 37.50% | 8 | 6.3 | 1,002 | 13,156 | 0.0% | 60.0% | |
| 12.50% | 8 | 6.3 | 728 | 13,047 | 16.7% | 0.0% | |
| 42.86% | 7 | 5.8 | 670 | 14,373 | 0.0% | 75.0% | |
| 57.14% | 7 | 2.0 | 703 | 10,820 | 57.1% | 0.0% | |
| 71.43% | 7 | 5.7 | 1,079 | 13,012 | 80.0% | 50.0% | |
| 57.14% | 7 | 6.4 | 991 | 11,883 | 50.0% | 66.7% | |
| 71.43% | 7 | 5.8 | 1,019 | 15,211 | 66.7% | 75.0% | |
| 33.33% | 6 | 2.3 | 619 | 11,072 | 33.3% | 33.3% | |
| 16.67% | 6 | 3.4 | 736 | 11,980 | 33.3% | 0.0% | |
| 66.67% | 6 | 6.0 | 897 | 13,324 | 66.7% | 66.7% | |
| 80.00% | 5 | 6.5 | 1,092 | 11,154 | 100.0% | 50.0% | |
| 60.00% | 5 | 4.0 | 723 | 10,668 | 50.0% | 100.0% | |
| 60.00% | 5 | 2.7 | 818 | 13,800 | 50.0% | 66.7% | |
| 80.00% | 5 | 6.3 | 1,156 | 12,895 | 66.7% | 100.0% | |
| 100.00% | 5 | 6.2 | 926 | 13,664 | 100.0% | 100.0% | |
| 40.00% | 5 | 5.9 | 689 | 13,414 | 50.0% | 33.3% | |
| 40.00% | 5 | 7.2 | 1,033 | 14,200 | 50.0% | 33.3% | |
| 60.00% | 5 | 5.4 | 521 | 9,485 | 0.0% | 100.0% | |
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百裂冥犬 vs 刀锋之影 - 常见问题
在英雄联盟中，百裂冥犬对刀锋之影表现如何？
百裂冥犬以51.9%的胜率赢得百裂冥犬 vs 刀锋之影的对决，而刀锋之影为48.1%，相差3.7个百分点。该数据基于26.11版本的81场近期排位赛。
在前期，百裂冥犬对刀锋之影表现如何？
在前期，百裂冥犬对刀锋之影占有优势，胜率为54.5%对45.5%。百裂冥犬玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，百裂冥犬对刀锋之影表现如何？
在后期，百裂冥犬以50.0%对50.0%的胜率主导百裂冥犬 vs 刀锋之影的对决。百裂冥犬在25分钟后的团战和目标争夺中成长更强。
谁赢得百裂冥犬 vs 刀锋之影的对决？
百裂冥犬在英雄联盟26.11版本中以51.9%的胜率赢得对刀锋之影的对决。3.7个百分点的优势意味着根据81场分析的比赛，百裂冥犬在这个线上对决中moderately占优。
对抗刀锋之影的最佳百裂冥犬出装是什么？
对抗刀锋之影的最佳百裂冥犬出装包括电震涡流剑, 公理圆弧, 赛瑞尔达的怨恨 with 暴食胫甲。This build achieves a 75.0% 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。
对抗刀锋之影的最佳百裂冥犬符文是什么？
对抗刀锋之影的最佳百裂冥犬符文使用精密主系和启迪副系。This rune setup achieves a 76.9% win rate in the 百裂冥犬 vs 刀锋之影 matchup. 查看上方对决比较中的完整符文分析。
百裂冥犬克制刀锋之影吗？
是的，百裂冥犬对刀锋之影有利，胜率为51.9%。根据当前26.11版本数据，百裂冥犬在线上has a solid advantage over刀锋之影。
如何用百裂冥犬对战刀锋之影？
当百裂冥犬对战刀锋之影时，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。