不祥之刃对阵 狂野女猎手
不祥之刃 vs 狂野女猎手在LoL版本26.10中是a decisive对线。狂野女猎手以66.7%胜率(+33.3%)击败不祥之刃，基于6场比赛。狂野女猎手 holds the advantage in both the early and late game.下方您将找到不祥之刃 vs 狂野女猎手对线的最佳不祥之刃出装、符文、对线统计和策略。
不祥之刃 Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how 不祥之刃 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.
狂野女猎手(33.3%)Who Wins the 不祥之刃 vs 狂野女猎手 Matchup?
不祥之刃对战狂野女猎手对决摘要
不祥之刃对战狂野女猎手在英雄联盟排位赛中是决定性的对决。根据6场近期比赛的分析，狂野女猎手以66.7%的胜率获胜，相比不祥之刃的33.3%，给予狂野女猎手 33.3个百分点的优势。 狂野女猎手在每个阶段都占据主导——从早期对线到后期团战。这种持续的优势使不祥之刃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，不祥之刃领先0.1s CC/min——这一差异严重影响换血和小规模团战的结果。 狂野女猎手在这场对决中有强大优势。不祥之刃玩家应该防守性地游戏，优先在塔下安全发育，并寻找由打野压力或狂野女猎手过度前压创造的机会。避免长时间换血，等待团战，那里的位置和协调更重要。 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。
不祥之刃对战狂野女猎手对线阶段分析
不祥之刃在对线阶段对阵狂野女猎手时更有优势，赢得5个关键统计类别中的4个。不祥之刃在补刀, 伤害, 金币收入 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 不祥之刃 Build Against 狂野女猎手
灵能使之靴是对抗狂野女猎手的最佳鞋子选择，提供不祥之刃在这场对决中最需要的移动速度和属性。 不祥之刃对抗狂野女猎手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2场比赛中达到稳固的50.0%胜率，证明它是面对狂野女猎手时可靠的装备路径。 可能需要根据队伍阵容和游戏状态进行调整，但这套出装为不祥之刃对战狂野女猎手对决提供了最强的基础。
Early Game vs Late Game
不祥之刃33.3%狂野女猎手66.7%不祥之刃33.3%狂野女猎手66.7%狂野女猎手以令人印象深刻的66.7%胜率主导前期（前15分钟）——领先不祥之刃 33.3个百分点。这一不平衡的前期意味着狂野女猎手可以从1级开始决定线上节奏，控制换血、兵线状态和河道优先权。
狂野女猎手在后期（25分钟以上）远远更强，拥有66.7%胜率——比不祥之刃高33.3点。长时间游戏强烈有利于狂野女猎手，其技能组和成长使其成为团战和目标控制中的主导力量。
狂野女猎手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 不祥之刃 Runes Against 狂野女猎手
主宰
精密
主宰和精密符文设置给不祥之刃在这场困难对决中与狂野女猎手竞争的最佳工具，用最优符文协同来弥补统计劣势。
英雄联盟26.10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 |
|---|---|---|---|---|---|---|---|
| 54.79% | 303 | 6.1 | 944 | 12,683 | 56.4% | 53.5% | |
| 47.19% | 231 | 6.0 | 890 | 12,518 | 46.3% | 47.8% | |
| 45.65% | 230 | 5.8 | 835 | 11,393 | 42.6% | 48.7% | |
| 49.29% | 211 | 5.8 | 926 | 12,917 | 43.5% | 53.2% | |
| 51.96% | 204 | 5.7 | 909 | 11,747 | 46.2% | 56.8% | |
| 50.75% | 199 | 6.0 | 939 | 12,341 | 55.7% | 46.9% | |
| 47.18% | 195 | 5.8 | 879 | 11,575 | 53.1% | 41.4% | |
| 46.67% | 180 | 6.0 | 962 | 12,269 | 51.6% | 41.4% | |
| 56.36% | 165 | 6.0 | 931 | 13,105 | 60.3% | 53.6% | |
| 47.83% | 161 | 6.0 | 891 | 12,253 | 47.4% | 48.2% | |
| 43.48% | 161 | 6.0 | 799 | 11,116 | 39.4% | 46.7% | |
| 52.55% | 137 | 5.8 | 1,019 | 12,556 | 46.9% | 57.5% | |
| 54.48% | 134 | 5.6 | 891 | 11,760 | 53.3% | 55.4% | |
| 43.51% | 131 | 5.6 | 840 | 11,524 | 46.9% | 40.3% | |
| 52.71% | 129 | 5.7 | 888 | 12,288 | 56.4% | 50.0% | |
| 48.67% | 113 | 5.8 | 1,022 | 11,867 | 51.0% | 46.9% | |
| 50.44% | 113 | 5.6 | 839 | 12,065 | 46.0% | 54.0% | |
| 55.56% | 108 | 5.7 | 990 | 12,577 | 58.7% | 53.2% | |
| 52.83% | 106 | 6.0 | 858 | 11,929 | 59.1% | 48.4% | |
| 47.00% | 100 | 6.0 | 997 | 12,561 | 47.6% | 46.5% | |
| 48.45% | 97 | 5.7 | 859 | 12,312 | 48.8% | 48.2% | |
| 49.45% | 91 | 5.7 | 859 | 11,723 | 46.3% | 52.0% | |
| 40.66% | 91 | 6.0 | 931 | 12,079 | 33.3% | 47.8% | |
| 40.23% | 87 | 5.8 | 953 | 13,057 | 32.1% | 44.1% | |
| 56.98% | 86 | 5.9 | 930 | 11,372 | 61.9% | 52.3% | |
| 45.88% | 85 | 6.3 | 916 | 11,620 | 48.7% | 43.5% | |
| 37.18% | 78 | 6.0 | 914 | 12,479 | 44.8% | 32.6% | |
| 57.14% | 77 | 6.4 | 958 | 12,998 | 67.6% | 47.5% | |
| 53.42% | 73 | 5.9 | 992 | 12,772 | 64.7% | 43.6% | |
| 54.93% | 71 | 5.9 | 1,028 | 13,180 | 57.7% | 53.3% | |
| 49.28% | 69 | 5.6 | 960 | 12,880 | 43.3% | 53.9% | |
| 47.62% | 63 | 5.6 | 888 | 11,067 | 41.9% | 53.1% | |
| 51.61% | 62 | 5.7 | 930 | 12,747 | 54.5% | 50.0% | |
| 50.00% | 62 | 5.9 | 871 | 11,530 | 54.5% | 44.8% | |
| 49.15% | 59 | 6.1 | 932 | 12,771 | 47.8% | 50.0% | |
| 50.00% | 58 | 5.7 | 1,020 | 13,133 | 55.0% | 47.4% | |
| 46.43% | 56 | 6.0 | 1,015 | 13,138 | 50.0% | 44.1% | |
| 52.00% | 50 | 5.7 | 898 | 12,084 | 60.9% | 44.4% | |
| 52.50% | 40 | 6.1 | 905 | 12,323 | 66.7% | 36.8% | |
| 43.59% | 39 | 6.0 | 953 | 11,828 | 63.2% | 25.0% | |
| 52.63% | 38 | 6.1 | 897 | 12,336 | 62.5% | 45.5% | |
| 35.14% | 37 | 5.7 | 858 | 11,361 | 21.4% | 43.5% | |
| 60.00% | 35 | 6.2 | 968 | 13,988 | 58.3% | 60.9% | |
| 58.82% | 34 | 5.8 | 1,147 | 13,954 | 50.0% | 62.5% | |
| 44.12% | 34 | 5.6 | 907 | 11,552 | 50.0% | 40.9% | |
| 51.61% | 31 | 5.7 | 823 | 11,772 | 69.2% | 38.9% | |
| 53.33% | 30 | 5.6 | 871 | 13,595 | 87.5% | 40.9% | |
| 37.93% | 29 | 5.9 | 897 | 12,407 | 50.0% | 29.4% | |
| 46.43% | 28 | 6.2 | 908 | 10,625 | 46.7% | 46.1% | |
| 71.43% | 28 | 6.0 | 1,230 | 13,322 | 69.2% | 73.3% | |
| 70.37% | 27 | 5.8 | 1,092 | 14,564 | 81.8% | 62.5% | |
| 46.15% | 26 | 5.4 | 855 | 11,306 | 42.9% | 50.0% | |
| 48.00% | 25 | 5.5 | 886 | 11,316 | 50.0% | 45.5% | |
| 70.83% | 24 | 6.2 | 1,155 | 14,303 | 80.0% | 64.3% | |
| 45.83% | 24 | 5.5 | 707 | 11,401 | 54.5% | 38.5% | |
| 50.00% | 24 | 6.0 | 1,107 | 13,931 | 58.3% | 41.7% | |
| 65.22% | 23 | 6.2 | 1,033 | 14,740 | 69.2% | 60.0% | |
| 56.52% | 23 | 5.7 | 926 | 13,973 | 50.0% | 60.0% | |
| 45.45% | 22 | 5.8 | 933 | 11,575 | 46.1% | 44.4% | |
| 59.09% | 22 | 6.2 | 1,012 | 13,843 | 63.6% | 54.5% | |
| 27.27% | 22 | 6.0 | 943 | 12,764 | 66.7% | 12.5% | |
| 63.16% | 19 | 5.9 | 1,123 | 13,702 | 45.5% | 87.5% | |
| 50.00% | 18 | 6.1 | 1,027 | 11,096 | 44.4% | 55.6% | |
| 46.67% | 15 | 5.6 | 850 | 14,106 | 100.0% | 27.3% | |
| 53.33% | 15 | 5.9 | 871 | 12,049 | 44.4% | 66.7% | |
| 42.86% | 14 | 6.0 | 794 | 10,314 | 37.5% | 50.0% | |
| 50.00% | 14 | 6.1 | 906 | 13,262 | 50.0% | 50.0% | |
| 53.85% | 13 | 5.7 | 913 | 11,239 | 71.4% | 33.3% | |
| 53.85% | 13 | 6.0 | 844 | 11,964 | 50.0% | 57.1% | |
| 46.15% | 13 | 6.3 | 950 | 12,848 | 44.4% | 50.0% | |
| 8.33% | 12 | 5.1 | 591 | 11,410 | 0.0% | 11.1% | |
| 66.67% | 12 | 5.6 | 1,040 | 13,034 | 80.0% | 57.1% | |
| 41.67% | 12 | 5.8 | 838 | 13,997 | 50.0% | 37.5% | |
| 25.00% | 12 | 5.3 | 690 | 10,691 | 33.3% | 16.7% | |
| 45.45% | 11 | 6.1 | 827 | 11,201 | 50.0% | 42.9% | |
| 54.55% | 11 | 5.5 | 1,100 | 14,057 | 50.0% | 57.1% | |
| 70.00% | 10 | 5.8 | 1,004 | 13,811 | 50.0% | 83.3% | |
| 60.00% | 10 | 5.7 | 890 | 11,573 | 66.7% | 50.0% | |
| 60.00% | 10 | 6.6 | 1,016 | 15,794 | 50.0% | 62.5% | |
| 44.44% | 9 | 5.1 | 667 | 11,400 | 33.3% | 50.0% | |
| 66.67% | 9 | 7.0 | 927 | 12,329 | 80.0% | 50.0% | |
| 66.67% | 9 | 6.0 | 1,084 | 16,038 | 50.0% | 71.4% | |
| 66.67% | 9 | 6.2 | 874 | 12,493 | 50.0% | 100.0% | |
| 50.00% | 8 | 5.4 | 822 | 8,493 | 60.0% | 33.3% | |
| 37.50% | 8 | 5.5 | 890 | 12,620 | 25.0% | 50.0% | |
| 37.50% | 8 | 6.0 | 792 | 9,020 | 50.0% | 25.0% | |
| 50.00% | 8 | 6.2 | 924 | 10,243 | 40.0% | 66.7% | |
| 28.57% | 7 | 5.1 | 1,159 | 16,684 | 0.0% | 40.0% | |
| 71.43% | 7 | 5.9 | 849 | 12,217 | 100.0% | 50.0% | |
| 14.29% | 7 | 6.3 | 975 | 10,261 | 0.0% | 33.3% | |
| 42.86% | 7 | 5.6 | 825 | 10,361 | 50.0% | 0.0% | |
| 71.43% | 7 | 5.0 | 857 | 12,171 | 50.0% | 80.0% | |
| 42.86% | 7 | 5.2 | 1,112 | 11,552 | 66.7% | 25.0% | |
| 85.71% | 7 | 6.4 | 920 | 12,504 | 100.0% | 66.7% | |
| 71.43% | 7 | 6.2 | 1,234 | 11,895 | 75.0% | 66.7% | |
| 66.67% | 6 | 5.0 | 860 | 13,436 | 0.0% | 66.7% | |
| 66.67% | 6 | 6.2 | 1,115 | 11,047 | 75.0% | 50.0% | |
| 50.00% | 6 | 5.7 | 901 | 10,733 | 40.0% | 100.0% | |
| 33.33% | 6 | 5.5 | 882 | 12,081 | 33.3% | 33.3% | |
| 83.33% | 6 | 5.7 | 1,247 | 15,576 | 100.0% | 75.0% | |
| 50.00% | 6 | 4.5 | 927 | 11,075 | 75.0% | 0.0% | |
| 50.00% | 6 | 6.4 | 1,018 | 12,600 | 0.0% | 75.0% | |
| 40.00% | 5 | 4.7 | 927 | 11,492 | 33.3% | 50.0% | |
| 20.00% | 5 | 4.9 | 742 | 13,053 | 0.0% | 25.0% | |
| 40.00% | 5 | 5.8 | 795 | 10,245 | 100.0% | 0.0% | |
| 60.00% | 5 | 6.0 | 918 | 9,357 | 60.0% | 0.0% | |
不祥之刃 vs 狂野女猎手 - 常见问题
在英雄联盟中，不祥之刃对狂野女猎手表现如何？
狂野女猎手以66.7%的胜率赢得不祥之刃 vs 狂野女猎手的对决，而不祥之刃为33.3%，相差33.3个百分点。该数据基于26.10版本的6场近期排位赛。
在前期，不祥之刃对狂野女猎手表现如何？
在前期，狂野女猎手对不祥之刃占有优势，胜率为66.7%对33.3%。狂野女猎手玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，不祥之刃对狂野女猎手表现如何？
在后期，狂野女猎手以66.7%对33.3%的胜率主导不祥之刃 vs 狂野女猎手的对决。狂野女猎手在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 狂野女猎手的对决？
狂野女猎手在英雄联盟26.10版本中以66.7%的胜率赢得对不祥之刃的对决。33.3个百分点的优势意味着根据6场分析的比赛，狂野女猎手在这个线上对决中significantly占优。
对抗狂野女猎手的最佳不祥之刃出装是什么？
对抗狂野女猎手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 50.0% 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。
对抗狂野女猎手的最佳不祥之刃符文是什么？
对抗狂野女猎手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 66.7% win rate in the 不祥之刃 vs 狂野女猎手 matchup. 查看上方对决比较中的完整符文分析。
不祥之刃克制狂野女猎手吗？
不，不祥之刃对抗狂野女猎手时表现吃力，胜率仅为33.3%。狂野女猎手在这个对决中占优。不祥之刃玩家应该专注于安全补刀，避免长时间换血以减少狂野女猎手的领先优势。
如何用不祥之刃对战狂野女猎手？
当不祥之刃对战狂野女猎手时，谨慎游戏并避开狂野女猎手的强势期。Look for jungle assistance and team-dependent plays since 狂野女猎手 has the statistical advantage at most stages. 使用上方的对决专用出装和符文来优化你的机会。