复仇焰魂对阵 血港鬼影
复仇焰魂 vs 血港鬼影在LoL版本26.10中是a very close对线。血港鬼影以50.8%胜率(+1.6%)击败复仇焰魂，基于191场比赛。血港鬼影 wins the early laning phase while 复仇焰魂 scales better into the late game.下方您将找到复仇焰魂 vs 血港鬼影对线的最佳复仇焰魂出装、符文、对线统计和策略。
复仇焰魂 Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how 复仇焰魂 performs against them. You'll get head-to-head win rates, laning stats, the best build and runes for the matchup, and early vs late game analysis — all based on real ranked data.
血港鬼影(49.2%)Who Wins the 复仇焰魂 vs 血港鬼影 Matchup?
复仇焰魂对战血港鬼影对决摘要
复仇焰魂对战血港鬼影在英雄联盟排位赛中是非常接近的对决。根据191场近期比赛的分析，血港鬼影以50.8%的胜率获胜，相比复仇焰魂的49.2%，给予血港鬼影 1.6个百分点的优势。 游戏阶段动态在此起着关键作用：血港鬼影控制早期对线阶段，但复仇焰魂在游戏进行时成长更好。对决会根据游戏时长发生戏剧性变化——血港鬼影需要在复仇焰魂达到强势期之前压制优势，而复仇焰魂应专注于安全发育和达到关键装备节点。 最显著的统计差距在CS方面，复仇焰魂领先0.8 CS/min——这一差异严重影响换血和小规模团战的结果。 虽然血港鬼影略占优势，但复仇焰魂绝对可以通过聪明的换血模式和波浪管理赢得这条线。专注于围绕你的冷却时间进行游戏，只在必要时放弃补刀，并利用血港鬼影的失误。 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。
复仇焰魂对战血港鬼影对线阶段分析
复仇焰魂在对线阶段对阵血港鬼影时更有优势，赢得5个关键统计类别中的3个。复仇焰魂在补刀, 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 复仇焰魂 Build Against 血港鬼影
法师之靴是对抗血港鬼影的最佳鞋子选择，提供复仇焰魂在这场对决中最需要的移动速度和属性。 复仇焰魂对抗血港鬼影表现最好的核心装备是兰德里的折磨, 莫雷洛秘典 和 黯炎火炬。这一组合给复仇焰魂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3场比赛中达到100.0%胜率——远高于平均水平，使其成为对抗血港鬼影的最佳装备路径。 可能需要根据队伍阵容和游戏状态进行调整，但这套出装为复仇焰魂对战血港鬼影对决提供了最强的基础。
Early Game vs Late Game
复仇焰魂44.1%血港鬼影55.9%复仇焰魂52.0%血港鬼影48.0%血港鬼影以令人印象深刻的55.9%胜率主导前期（前15分钟）——领先复仇焰魂 11.8个百分点。这一不平衡的前期意味着血港鬼影可以从1级开始决定线上节奏，控制换血、兵线状态和河道优先权。
在后期（25分钟以上），复仇焰魂以52.0%胜率接管，领先血港鬼影 4.1个百分点。复仇焰魂在团战和目标争夺中成长更有效。
这场对决有戏剧性的力量转变：血港鬼影必须积极压制早期优势并在复仇焰魂达到成长节点之前结束游戏。如果复仇焰魂在不太落后的情况下度过对线阶段，对决将倾向于他们。龙和峡谷先锋控制至关重要——确保早期目标的队伍可以滚雪球或争取时间成长。
Best 复仇焰魂 Runes Against 血港鬼影
巫术
精密
巫术主系配精密副系的组合帮助复仇焰魂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血港鬼影。
英雄联盟26.10版本复仇焰魂对线数据。下表显示复仇焰魂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，包括复仇焰魂最佳出装、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 |
|---|---|---|---|---|---|---|---|
| 50.78% | 516 | 2.0 | 825 | 9,930 | 53.8% | 48.7% | |
| 50.91% | 497 | 2.7 | 774 | 10,349 | 51.3% | 50.6% | |
| 56.49% | 416 | 6.4 | 1,104 | 13,148 | 61.2% | 53.8% | |
| 49.18% | 366 | 2.6 | 920 | 10,788 | 48.9% | 49.3% | |
| 55.49% | 346 | 1.8 | 879 | 10,244 | 59.2% | 53.2% | |
| 45.03% | 322 | 1.7 | 827 | 9,462 | 42.8% | 46.7% | |
| 52.51% | 299 | 2.1 | 811 | 10,422 | 52.8% | 52.3% | |
| 52.98% | 285 | 6.3 | 1,012 | 12,683 | 55.9% | 51.1% | |
| 53.82% | 275 | 5.7 | 969 | 12,304 | 54.3% | 53.5% | |
| 51.10% | 272 | 1.9 | 898 | 10,258 | 51.5% | 50.9% | |
| 53.14% | 271 | 1.9 | 870 | 10,467 | 62.4% | 48.3% | |
| 55.74% | 235 | 5.8 | 1,009 | 12,450 | 60.2% | 52.5% | |
| 58.48% | 224 | 6.3 | 996 | 12,659 | 67.8% | 52.2% | |
| 41.74% | 218 | 3.7 | 848 | 10,928 | 32.9% | 46.5% | |
| 51.20% | 209 | 6.3 | 1,034 | 12,345 | 48.9% | 52.9% | |
| 48.44% | 192 | 2.8 | 816 | 10,207 | 41.9% | 52.5% | |
| 49.21% | 191 | 1.9 | 833 | 10,718 | 44.1% | 52.0% | |
| 60.00% | 190 | 2.8 | 1,029 | 10,680 | 60.0% | 60.0% | |
| 50.27% | 183 | 1.7 | 820 | 9,919 | 62.0% | 42.9% | |
| 56.04% | 182 | 5.9 | 967 | 11,108 | 58.7% | 54.2% | |
| 47.49% | 179 | 3.5 | 894 | 10,897 | 41.3% | 51.9% | |
| 60.11% | 178 | 6.2 | 996 | 12,431 | 57.1% | 62.0% | |
| 54.86% | 175 | 1.8 | 853 | 9,558 | 52.8% | 56.3% | |
| 54.76% | 168 | 1.8 | 838 | 9,327 | 58.9% | 51.6% | |
| 49.40% | 166 | 1.8 | 917 | 10,470 | 48.4% | 50.0% | |
| 61.82% | 165 | 5.5 | 1,019 | 11,744 | 56.1% | 65.7% | |
| 45.91% | 159 | 2.3 | 1,046 | 10,012 | 38.1% | 51.0% | |
| 51.27% | 158 | 2.1 | 865 | 11,371 | 57.5% | 48.6% | |
| 44.83% | 145 | 6.0 | 994 | 10,977 | 46.0% | 43.7% | |
| 56.83% | 139 | 5.7 | 991 | 10,754 | 57.4% | 56.4% | |
| 49.26% | 136 | 2.3 | 851 | 10,195 | 44.2% | 52.4% | |
| 57.89% | 133 | 1.7 | 759 | 9,498 | 61.5% | 55.6% | |
| 48.87% | 133 | 1.8 | 907 | 10,822 | 52.4% | 47.3% | |
| 56.49% | 131 | 1.6 | 886 | 9,879 | 64.5% | 49.3% | |
| 50.38% | 131 | 1.8 | 692 | 9,397 | 55.7% | 45.7% | |
| 58.46% | 130 | 1.8 | 794 | 9,780 | 64.8% | 54.0% | |
| 52.46% | 122 | 6.2 | 1,046 | 13,109 | 54.0% | 51.4% | |
| 56.20% | 121 | 6.0 | 1,008 | 12,336 | 58.3% | 54.8% | |
| 55.05% | 109 | 4.8 | 956 | 11,112 | 61.4% | 50.8% | |
| 63.81% | 105 | 6.2 | 1,045 | 13,095 | 75.7% | 57.4% | |
| 50.00% | 96 | 4.2 | 950 | 11,825 | 42.9% | 52.9% | |
| 46.88% | 96 | 6.2 | 992 | 11,379 | 54.5% | 42.9% | |
| 61.05% | 95 | 4.7 | 1,035 | 11,067 | 58.8% | 62.3% | |
| 44.21% | 95 | 5.7 | 1,010 | 11,205 | 45.0% | 43.6% | |
| 55.91% | 93 | 5.8 | 1,075 | 12,297 | 63.3% | 52.4% | |
| 52.81% | 89 | 4.9 | 1,033 | 12,211 | 45.2% | 56.9% | |
| 54.02% | 87 | 5.4 | 905 | 11,631 | 48.3% | 56.9% | |
| 55.81% | 86 | 5.5 | 973 | 11,672 | 58.1% | 54.5% | |
| 52.33% | 86 | 5.7 | 1,007 | 10,185 | 48.6% | 55.1% | |
| 59.26% | 81 | 5.7 | 913 | 12,682 | 58.6% | 59.6% | |
| 55.70% | 79 | 5.4 | 930 | 10,626 | 45.5% | 63.0% | |
| 48.72% | 78 | 2.6 | 930 | 11,773 | 48.1% | 49.0% | |
| 54.55% | 77 | 1.7 | 879 | 10,142 | 64.5% | 47.8% | |
| 42.67% | 75 | 2.0 | 833 | 10,008 | 38.7% | 45.5% | |
| 48.00% | 75 | 1.9 | 901 | 9,382 | 55.9% | 41.5% | |
| 55.56% | 72 | 5.9 | 1,105 | 13,006 | 62.1% | 51.2% | |
| 56.52% | 69 | 6.0 | 1,006 | 12,579 | 57.7% | 55.8% | |
| 61.76% | 68 | 1.9 | 909 | 11,047 | 57.1% | 63.8% | |
| 58.82% | 68 | 5.3 | 975 | 11,815 | 60.7% | 57.5% | |
| 49.25% | 67 | 5.6 | 1,083 | 11,822 | 43.5% | 52.3% | |
| 53.03% | 66 | 1.6 | 770 | 9,306 | 45.2% | 60.0% | |
| 48.48% | 66 | 2.1 | 856 | 10,144 | 55.6% | 43.6% | |
| 57.58% | 66 | 6.0 | 1,109 | 11,880 | 70.0% | 52.2% | |
| 45.16% | 62 | 1.8 | 844 | 12,103 | 36.8% | 48.8% | |
| 62.90% | 62 | 6.3 | 979 | 11,619 | 50.0% | 76.7% | |
| 52.46% | 61 | 5.9 | 1,026 | 12,295 | 55.2% | 50.0% | |
| 44.26% | 61 | 6.2 | 970 | 12,248 | 40.9% | 46.1% | |
| 54.10% | 61 | 6.4 | 967 | 13,316 | 52.6% | 54.8% | |
| 57.38% | 61 | 4.2 | 956 | 11,331 | 70.0% | 51.2% | |
| 48.33% | 60 | 4.4 | 945 | 11,106 | 31.8% | 57.9% | |
| 40.68% | 59 | 4.7 | 1,022 | 11,998 | 26.3% | 47.5% | |
| 45.76% | 59 | 5.7 | 1,016 | 11,836 | 42.9% | 47.4% | |
| 55.93% | 59 | 5.3 | 869 | 11,585 | 54.5% | 56.8% | |
| 60.34% | 58 | 3.9 | 1,044 | 11,691 | 52.0% | 66.7% | |
| 53.45% | 58 | 3.4 | 853 | 9,929 | 43.5% | 60.0% | |
| 54.55% | 55 | 5.7 | 1,055 | 11,089 | 64.0% | 46.7% | |
| 45.45% | 55 | 4.7 | 969 | 11,440 | 52.6% | 41.7% | |
| 53.70% | 54 | 5.9 | 922 | 11,802 | 45.0% | 58.8% | |
| 40.74% | 54 | 5.6 | 920 | 10,862 | 39.1% | 41.9% | |
| 51.92% | 52 | 6.7 | 1,103 | 12,824 | 47.6% | 54.8% | |
| 56.86% | 51 | 6.3 | 1,030 | 12,645 | 72.2% | 48.5% | |
| 51.02% | 49 | 2.1 | 917 | 10,432 | 56.5% | 46.1% | |
| 44.68% | 47 | 4.2 | 886 | 10,963 | 35.0% | 51.9% | |
| 39.13% | 46 | 4.8 | 962 | 10,630 | 27.3% | 50.0% | |
| 38.64% | 44 | 5.6 | 967 | 11,383 | 42.9% | 36.7% | |
| 46.51% | 43 | 2.8 | 955 | 10,051 | 45.5% | 47.6% | |
| 46.51% | 43 | 4.0 | 1,069 | 10,681 | 43.8% | 48.1% | |
| 60.47% | 43 | 5.8 | 1,114 | 12,584 | 69.2% | 56.7% | |
| 54.76% | 42 | 2.2 | 888 | 13,379 | 66.7% | 48.1% | |
| 65.00% | 40 | 5.9 | 1,063 | 12,482 | 46.7% | 76.0% | |
| 64.10% | 39 | 1.5 | 968 | 13,242 | 57.1% | 68.0% | |
| 46.15% | 39 | 4.5 | 1,169 | 12,360 | 72.7% | 35.7% | |
| 47.37% | 38 | 2.1 | 930 | 11,253 | 56.3% | 40.9% | |
| 50.00% | 38 | 6.5 | 1,136 | 12,915 | 70.0% | 42.9% | |
| 63.89% | 36 | 2.4 | 1,000 | 13,221 | 70.0% | 61.5% | |
| 51.43% | 35 | 2.0 | 988 | 12,855 | 50.0% | 52.2% | |
| 57.14% | 35 | 1.5 | 924 | 11,993 | 66.7% | 53.9% | |
| 50.00% | 34 | 6.1 | 1,006 | 12,677 | 50.0% | 50.0% | |
| 50.00% | 34 | 1.4 | 844 | 12,617 | 50.0% | 50.0% | |
| 54.55% | 33 | 1.2 | 803 | 10,993 | 50.0% | 58.8% | |
| 62.50% | 32 | 6.2 | 1,132 | 11,646 | 76.5% | 46.7% | |
| 54.84% | 31 | 4.6 | 924 | 12,125 | 42.9% | 64.7% | |
| 53.33% | 30 | 5.4 | 983 | 12,682 | 50.0% | 54.5% | |
| 46.67% | 30 | 2.0 | 860 | 11,506 | 56.3% | 35.7% | |
| 53.33% | 30 | 4.5 | 1,015 | 12,153 | 40.0% | 60.0% | |
| 62.07% | 29 | 5.6 | 1,056 | 12,856 | 66.7% | 60.9% | |
| 46.43% | 28 | 1.6 | 831 | 12,027 | 50.0% | 43.8% | |
| 50.00% | 28 | 5.9 | 1,018 | 11,547 | 46.7% | 53.9% | |
| 48.15% | 27 | 6.6 | 1,034 | 12,867 | 69.2% | 28.6% | |
| 53.85% | 26 | 6.3 | 1,050 | 11,827 | 45.5% | 60.0% | |
| 42.31% | 26 | 4.5 | 976 | 12,397 | 50.0% | 37.5% | |
| 50.00% | 26 | 5.4 | 955 | 10,241 | 61.5% | 38.5% | |
| 44.00% | 25 | 1.8 | 892 | 9,376 | 40.0% | 46.7% | |
| 58.33% | 24 | 1.8 | 1,001 | 11,199 | 77.8% | 46.7% | |
| 54.17% | 24 | 5.8 | 1,039 | 10,855 | 50.0% | 60.0% | |
| 50.00% | 24 | 4.6 | 984 | 10,011 | 57.1% | 40.0% | |
| 17.39% | 23 | 1.4 | 916 | 11,021 | 20.0% | 15.4% | |
| 39.13% | 23 | 3.9 | 865 | 9,623 | 38.5% | 40.0% | |
| 43.48% | 23 | 2.3 | 919 | 12,326 | 44.4% | 42.9% | |
| 47.83% | 23 | 2.1 | 827 | 12,102 | 44.4% | 50.0% | |
| 54.55% | 22 | 1.8 | 966 | 12,758 | 62.5% | 50.0% | |
| 40.91% | 22 | 6.0 | 1,125 | 12,738 | 55.6% | 30.8% | |
| 66.67% | 21 | 2.5 | 1,158 | 12,409 | 85.7% | 57.1% | |
| 52.38% | 21 | 6.1 | 1,121 | 12,562 | 33.3% | 60.0% | |
| 35.00% | 20 | 1.7 | 826 | 9,802 | 30.0% | 40.0% | |
| 40.00% | 20 | 4.5 | 1,166 | 11,468 | 42.9% | 38.5% | |
| 52.63% | 19 | 5.0 | 929 | 10,909 | 70.0% | 33.3% | |
| 42.11% | 19 | 5.6 | 925 | 9,104 | 60.0% | 22.2% | |
| 36.84% | 19 | 2.7 | 916 | 12,431 | 25.0% | 40.0% | |
| 52.63% | 19 | 3.1 | 1,057 | 11,504 | 66.7% | 46.1% | |
| 55.56% | 18 | 3.4 | 851 | 10,726 | 77.8% | 33.3% | |
| 61.11% | 18 | 5.2 | 1,026 | 11,194 | 60.0% | 62.5% | |
| 77.78% | 18 | 6.2 | 1,062 | 12,434 | 83.3% | 75.0% | |
| 58.82% | 17 | 2.2 | 858 | 11,397 | 50.0% | 61.5% | |
| 58.82% | 17 | 4.5 | 1,122 | 11,518 | 40.0% | 66.7% | |
| 56.25% | 16 | 1.2 | 971 | 11,624 | 50.0% | 62.5% | |
| 50.00% | 16 | 4.5 | 1,254 | 11,064 | 71.4% | 33.3% | |
| 31.25% | 16 | 4.1 | 961 | 9,395 | 25.0% | 37.5% | |
| 40.00% | 15 | 1.7 | 723 | 8,704 | 50.0% | 28.6% | |
| 46.67% | 15 | 6.0 | 1,105 | 12,530 | 33.3% | 55.6% | |
| 40.00% | 15 | 1.5 | 1,058 | 12,539 | 40.0% | 40.0% | |
| 28.57% | 14 | 1.4 | 1,048 | 10,594 | 33.3% | 25.0% | |
| 57.14% | 14 | 5.4 | 1,145 | 11,547 | 60.0% | 55.6% | |
| 64.29% | 14 | 5.1 | 1,057 | 10,186 | 60.0% | 66.7% | |
| 64.29% | 14 | 6.2 | 1,385 | 10,749 | 85.7% | 42.9% | |
| 50.00% | 14 | 1.9 | 996 | 11,457 | 57.1% | 42.9% | |
| 46.15% | 13 | 5.6 | 1,082 | 11,936 | 50.0% | 42.9% | |
| 69.23% | 13 | 5.4 | 1,083 | 9,304 | 71.4% | 66.7% | |
| 41.67% | 12 | 4.7 | 804 | 8,887 | 33.3% | 66.7% | |
| 50.00% | 12 | 5.4 | 1,081 | 9,760 | 42.9% | 60.0% | |
| 33.33% | 12 | 1.0 | 734 | 9,841 | 33.3% | 33.3% | |
| 45.45% | 11 | 5.0 | 1,127 | 9,208 | 50.0% | 40.0% | |
| 72.73% | 11 | 4.3 | 903 | 10,841 | 71.4% | 75.0% | |
| 63.64% | 11 | 6.4 | 1,068 | 8,143 | 55.6% | 100.0% | |
| 54.55% | 11 | 5.6 | 1,111 | 11,045 | 28.6% | 100.0% | |
| 30.00% | 10 | 2.9 | 778 | 7,407 | 28.6% | 33.3% | |
| 60.00% | 10 | 3.5 | 1,191 | 13,409 | 50.0% | 62.5% | |
| 40.00% | 10 | 1.6 | 923 | 11,523 | 66.7% | 28.6% | |
| 55.56% | 9 | 4.4 | 1,140 | 13,730 | 0.0% | 62.5% | |
| 33.33% | 9 | 2.2 | 982 | 12,893 | 33.3% | 33.3% | |
| 55.56% | 9 | 4.7 | 828 | 10,215 | 50.0% | 60.0% | |
| 66.67% | 9 | 1.0 | 728 | 10,161 | 80.0% | 50.0% | |
| 44.44% | 9 | 1.6 | 779 | 11,770 | 50.0% | 42.9% | |
| 25.00% | 8 | 6.5 | 806 | 7,252 | 14.3% | 100.0% | |
| 62.50% | 8 | 5.0 | 1,038 | 12,212 | 100.0% | 57.1% | |
| 75.00% | 8 | 5.7 | 997 | 13,464 | 100.0% | 71.4% | |
| 37.50% | 8 | 5.5 | 1,120 | 12,962 | 0.0% | 42.9% | |
| 57.14% | 7 | 5.8 | 1,112 | 12,953 | 50.0% | 60.0% | |
| 83.33% | 6 | 1.2 | 1,012 | 13,683 | 100.0% | 80.0% | |
| 60.00% | 5 | 1.2 | 692 | 9,339 | 50.0% | 66.7% | |
| 20.00% | 5 | 2.2 | 862 | 12,277 | 0.0% | 33.3% | |
复仇焰魂 vs 血港鬼影 - 常见问题
在英雄联盟中，复仇焰魂对血港鬼影表现如何？
血港鬼影以50.8%的胜率赢得复仇焰魂 vs 血港鬼影的对决，而复仇焰魂为49.2%，相差1.6个百分点。该数据基于26.10版本的191场近期排位赛。
在前期，复仇焰魂对血港鬼影表现如何？
在前期，血港鬼影对复仇焰魂占有优势，胜率为55.9%对44.1%。血港鬼影玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，复仇焰魂对血港鬼影表现如何？
在后期，复仇焰魂以52.0%对48.0%的胜率主导复仇焰魂 vs 血港鬼影的对决。复仇焰魂在25分钟后的团战和目标争夺中成长更强。
谁赢得复仇焰魂 vs 血港鬼影的对决？
血港鬼影在英雄联盟26.10版本中以50.8%的胜率赢得对复仇焰魂的对决。1.6个百分点的优势意味着根据191场分析的比赛，血港鬼影在这个线上对决中slightly占优。
对抗血港鬼影的最佳复仇焰魂出装是什么？
对抗血港鬼影的最佳复仇焰魂出装包括兰德里的折磨, 莫雷洛秘典, 黯炎火炬 with 法师之靴。This build achieves a 100.0% 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。
对抗血港鬼影的最佳复仇焰魂符文是什么？
对抗血港鬼影的最佳复仇焰魂符文使用巫术主系和精密副系。This rune setup achieves a 52.6% win rate in the 复仇焰魂 vs 血港鬼影 matchup. 查看上方对决比较中的完整符文分析。
复仇焰魂克制血港鬼影吗？
不，复仇焰魂对抗血港鬼影时表现吃力，胜率仅为49.2%。血港鬼影在这个对决中占优。复仇焰魂玩家应该专注于安全补刀，避免长时间换血以减少血港鬼影的领先优势。
如何用复仇焰魂对战血港鬼影？
当复仇焰魂对战血港鬼影时，谨慎游戏并避开血港鬼影的强势期。Focus on safe farming — you outscale 血港鬼影 in the late game. 使用上方的对决专用出装和符文来优化你的机会。