
光辉女郎对阵 不祥之刃
光辉女郎 vs 不祥之刃在LoL版本26.14中是a moderate对线。不祥之刃以51.6%胜率(+3.3%)击败光辉女郎,基于91场比赛。不祥之刃 holds the advantage in both the early and late game.下方您将找到光辉女郎 vs 不祥之刃对线的最佳光辉女郎出装、符文、对线统计和策略。
光辉女郎对线分析
使用下拉菜单选择对手,查看光辉女郎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。
光辉女郎 vs 不祥之刃对线谁赢?

光辉女郎对战不祥之刃对决摘要
光辉女郎对战不祥之刃在英雄联盟排位赛中是中等程度的对决。根据91场近期比赛的分析,不祥之刃以51.6%的胜率获胜,相比光辉女郎的48.4%,给予不祥之刃 3.3个百分点的优势。 不祥之刃在每个阶段都占据主导——从早期对线到后期团战。这种持续的优势使光辉女郎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,光辉女郎领先1.3s CC/min——这一差异严重影响换血和小规模团战的结果。 虽然不祥之刃略占优势,但光辉女郎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,并利用不祥之刃的失误。 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。
光辉女郎对战不祥之刃对线阶段分析
光辉女郎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。光辉女郎在补刀, 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 光辉女郎 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,提供光辉女郎在这场对决中最需要的移动速度和属性。 光辉女郎对抗不祥之刃表现最好的核心装备是卢登的回声, 风暴狂涌 和 影焰。这一组合给光辉女郎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20场比赛中达到55.0%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,但这套出装为光辉女郎对战不祥之刃对决提供了最强的基础。
Early Game vs Late Game
在早期对线阶段(前15分钟),不祥之刃有显著的51.3%胜率,超过光辉女郎 2.6个百分点。不祥之刃玩家应该通过激进换血、兵线优先权和早期与打野的协调来压制这一优势。
在后期(25分钟以上),不祥之刃以51.9%胜率接管,领先光辉女郎 3.8个百分点。不祥之刃在团战和目标争夺中成长更有效。
不祥之刃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。光辉女郎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 光辉女郎 Runes Against 不祥之刃
巫术和主宰符文设置给光辉女郎在这场困难对决中与不祥之刃竞争的最佳工具,用最优符文协同来弥补统计劣势。
英雄联盟26.14版本光辉女郎对线数据。下表显示光辉女郎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,包括光辉女郎最佳出装、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 |
|---|---|---|---|---|---|---|---|
| 46.84% | 711 | 2.3 | 724 | 9,900 | 48.5% | 45.9% | |
| 50.71% | 353 | 2.4 | 732 | 9,986 | 52.2% | 49.8% | |
| 50.00% | 302 | 2.1 | 697 | 9,487 | 59.0% | 43.9% | |
| 52.57% | 272 | 2.0 | 711 | 9,925 | 54.6% | 51.6% | |
| 53.06% | 245 | 2.2 | 751 | 10,188 | 57.3% | 50.6% | |
| 53.45% | 232 | 2.5 | 731 | 10,032 | 55.7% | 52.1% | |
| 51.53% | 229 | 2.2 | 688 | 10,661 | 50.7% | 51.9% | |
| 61.14% | 229 | 3.6 | 757 | 10,138 | 60.5% | 61.5% | |
| 46.63% | 208 | 2.0 | 691 | 9,122 | 54.2% | 41.6% | |
| 46.81% | 188 | 5.6 | 929 | 11,183 | 57.4% | 40.8% | |
| 42.25% | 187 | 3.5 | 787 | 10,858 | 38.1% | 44.4% | |
| 47.85% | 186 | 2.9 | 798 | 10,097 | 46.4% | 48.7% | |
| 50.28% | 177 | 6.0 | 936 | 11,945 | 50.0% | 50.4% | |
| 48.02% | 177 | 2.1 | 699 | 9,938 | 49.2% | 47.4% | |
| 52.57% | 175 | 2.8 | 719 | 10,509 | 53.3% | 52.2% | |
| 59.26% | 162 | 2.6 | 795 | 10,456 | 60.0% | 58.9% | |
| 46.20% | 158 | 2.4 | 716 | 10,342 | 58.8% | 40.2% | |
| 46.41% | 153 | 2.2 | 662 | 9,107 | 55.4% | 39.8% | |
| 49.01% | 151 | 5.8 | 839 | 10,744 | 49.2% | 48.8% | |
| 50.70% | 142 | 6.1 | 829 | 10,934 | 52.8% | 49.4% | |
| 45.99% | 137 | 2.1 | 648 | 9,242 | 50.9% | 42.3% | |
| 45.59% | 136 | 6.4 | 830 | 10,967 | 49.2% | 42.7% | |
| 51.11% | 135 | 5.2 | 864 | 10,711 | 54.7% | 48.8% | |
| 54.96% | 131 | 2.2 | 684 | 9,113 | 57.1% | 53.3% | |
| 48.46% | 130 | 2.1 | 773 | 9,547 | 62.8% | 39.2% | |
| 47.50% | 120 | 2.0 | 704 | 8,927 | 47.4% | 47.6% | |
| 52.14% | 117 | 2.1 | 594 | 9,445 | 57.1% | 47.5% | |
| 51.33% | 113 | 2.0 | 654 | 9,400 | 59.0% | 47.3% | |
| 55.45% | 110 | 6.1 | 783 | 10,908 | 53.7% | 56.5% | |
| 51.85% | 108 | 6.0 | 1,005 | 10,928 | 60.0% | 46.0% | |
| 53.27% | 107 | 4.4 | 761 | 10,733 | 66.7% | 45.6% | |
| 58.65% | 104 | 6.1 | 855 | 11,665 | 60.5% | 57.4% | |
| 49.02% | 102 | 2.6 | 711 | 10,301 | 48.5% | 49.3% | |
| 50.51% | 99 | 2.1 | 732 | 9,235 | 52.3% | 49.1% | |
| 42.11% | 95 | 6.0 | 797 | 10,268 | 50.0% | 35.9% | |
| 48.35% | 91 | 6.2 | 906 | 11,708 | 48.7% | 48.1% | |
| 53.41% | 88 | 6.0 | 914 | 10,827 | 45.5% | 58.2% | |
| 49.43% | 87 | 4.5 | 799 | 11,445 | 50.0% | 49.1% | |
| 68.24% | 85 | 6.2 | 918 | 12,168 | 77.8% | 61.2% | |
| 51.22% | 82 | 6.6 | 909 | 10,479 | 54.0% | 48.9% | |
| 54.32% | 81 | 2.1 | 690 | 8,999 | 48.6% | 58.7% | |
| 52.50% | 80 | 5.5 | 863 | 12,122 | 42.3% | 57.4% | |
| 45.00% | 80 | 2.0 | 798 | 10,515 | 45.5% | 44.8% | |
| 51.95% | 77 | 2.2 | 716 | 10,192 | 67.7% | 41.3% | |
| 46.05% | 76 | 2.0 | 712 | 9,567 | 50.0% | 43.2% | |
| 48.00% | 75 | 5.7 | 791 | 10,783 | 41.9% | 52.3% | |
| 45.21% | 73 | 5.5 | 822 | 11,755 | 39.1% | 48.0% | |
| 45.71% | 70 | 4.2 | 815 | 11,748 | 52.6% | 43.1% | |
| 47.14% | 70 | 6.1 | 877 | 11,768 | 52.4% | 44.9% | |
| 46.38% | 69 | 2.1 | 671 | 9,559 | 34.5% | 55.0% | |
| 41.18% | 68 | 2.7 | 720 | 9,597 | 55.6% | 31.7% | |
| 46.27% | 67 | 2.2 | 723 | 9,781 | 35.0% | 51.1% | |
| 43.08% | 65 | 5.8 | 906 | 12,556 | 28.6% | 47.1% | |
| 53.13% | 64 | 2.2 | 715 | 9,814 | 61.5% | 47.4% | |
| 58.33% | 60 | 5.7 | 864 | 11,414 | 54.2% | 61.1% | |
| 38.98% | 59 | 2.0 | 626 | 8,628 | 50.0% | 30.3% | |
| 39.29% | 56 | 2.1 | 732 | 10,045 | 47.6% | 34.3% | |
| 56.60% | 53 | 6.5 | 942 | 11,509 | 45.8% | 65.5% | |
| 45.10% | 51 | 6.5 | 838 | 10,653 | 45.5% | 44.8% | |
| 62.00% | 50 | 5.9 | 867 | 11,064 | 52.9% | 66.7% | |
| 48.00% | 50 | 6.1 | 1,002 | 12,234 | 47.4% | 48.4% | |
| 46.94% | 49 | 3.9 | 816 | 11,410 | 42.1% | 50.0% | |
| 56.25% | 48 | 5.6 | 798 | 10,031 | 58.3% | 54.2% | |
| 60.87% | 46 | 5.3 | 910 | 10,427 | 63.2% | 59.3% | |
| 69.57% | 46 | 6.1 | 841 | 12,755 | 64.3% | 71.9% | |
| 60.47% | 43 | 3.5 | 764 | 11,382 | 75.0% | 54.8% | |
| 51.16% | 43 | 5.5 | 795 | 10,700 | 64.3% | 44.8% | |
| 53.49% | 43 | 5.8 | 908 | 10,860 | 58.8% | 50.0% | |
| 55.81% | 43 | 6.2 | 898 | 11,557 | 63.6% | 47.6% | |
| 27.50% | 40 | 5.6 | 867 | 11,169 | 41.7% | 21.4% | |
| 58.97% | 39 | 2.2 | 814 | 8,613 | 61.9% | 55.6% | |
| 46.15% | 39 | 5.6 | 837 | 9,696 | 52.6% | 40.0% | |
| 48.72% | 39 | 5.9 | 912 | 12,250 | 75.0% | 37.0% | |
| 50.00% | 38 | 4.2 | 822 | 11,763 | 57.1% | 48.4% | |
| 47.37% | 38 | 2.2 | 734 | 9,400 | 40.0% | 52.2% | |
| 37.14% | 35 | 6.5 | 808 | 12,158 | 50.0% | 28.6% | |
| 38.24% | 34 | 6.3 | 878 | 10,681 | 33.3% | 46.1% | |
| 45.45% | 33 | 6.6 | 973 | 12,622 | 45.5% | 45.5% | |
| 40.00% | 30 | 5.7 | 859 | 10,385 | 50.0% | 31.3% | |
| 56.67% | 30 | 6.5 | 1,060 | 12,933 | 58.3% | 55.6% | |
| 41.38% | 29 | 6.4 | 990 | 12,525 | 75.0% | 28.6% | |
| 64.29% | 28 | 6.3 | 832 | 10,301 | 61.5% | 66.7% | |
| 57.14% | 28 | 6.2 | 927 | 12,311 | 50.0% | 61.1% | |
| 55.56% | 27 | 2.2 | 649 | 10,118 | 55.6% | 55.6% | |
| 52.00% | 25 | 2.1 | 756 | 9,622 | 55.6% | 50.0% | |
| 45.83% | 24 | 6.1 | 950 | 12,490 | 50.0% | 44.4% | |
| 47.83% | 23 | 7.2 | 959 | 12,652 | 50.0% | 46.7% | |
| 26.09% | 23 | 1.8 | 710 | 10,293 | 44.4% | 14.3% | |
| 60.87% | 23 | 6.9 | 869 | 11,107 | 62.5% | 57.1% | |
| 43.48% | 23 | 6.1 | 971 | 11,242 | 60.0% | 30.8% | |
| 59.09% | 22 | 5.8 | 935 | 11,828 | 50.0% | 64.3% | |
| 54.55% | 22 | 4.7 | 878 | 11,429 | 44.4% | 61.5% | |
| 57.89% | 19 | 6.8 | 930 | 11,841 | 50.0% | 61.5% | |
| 36.84% | 19 | 4.8 | 854 | 10,652 | 33.3% | 40.0% | |
| 38.89% | 18 | 4.7 | 763 | 10,673 | 28.6% | 45.5% | |
| 52.94% | 17 | 5.6 | 824 | 11,169 | 80.0% | 41.7% | |
| 82.35% | 17 | 3.9 | 792 | 10,297 | 88.9% | 75.0% | |
| 56.25% | 16 | 6.5 | 912 | 11,291 | 50.0% | 62.5% | |
| 37.50% | 16 | 2.5 | 785 | 10,289 | 14.3% | 55.6% | |
| 46.15% | 13 | 5.4 | 729 | 8,693 | 42.9% | 50.0% | |
| 69.23% | 13 | 6.7 | 973 | 12,004 | 60.0% | 75.0% | |
| 58.33% | 12 | 4.9 | 851 | 10,530 | 60.0% | 57.1% | |
| 75.00% | 12 | 5.2 | 716 | 9,598 | 100.0% | 57.1% | |
| 41.67% | 12 | 3.8 | 978 | 11,303 | 0.0% | 50.0% | |
| 58.33% | 12 | 6.3 | 842 | 10,286 | 50.0% | 62.5% | |
| 72.73% | 11 | 6.3 | 958 | 10,061 | 85.7% | 50.0% | |
| 60.00% | 10 | 4.5 | 940 | 13,984 | 50.0% | 62.5% | |
| 60.00% | 10 | 4.2 | 632 | 8,357 | 66.7% | 50.0% | |
| 50.00% | 10 | 3.6 | 817 | 10,883 | 50.0% | 50.0% | |
| 60.00% | 10 | 5.6 | 1,191 | 13,988 | 50.0% | 62.5% | |
| 33.33% | 9 | 4.2 | 1,001 | 13,562 | 50.0% | 28.6% | |
| 55.56% | 9 | 6.0 | 871 | 9,821 | 40.0% | 75.0% | |
| 62.50% | 8 | 3.7 | 788 | 12,458 | 50.0% | 66.7% | |
| 50.00% | 8 | 4.3 | 825 | 10,285 | 66.7% | 40.0% | |
| 50.00% | 8 | 4.0 | 721 | 11,645 | 0.0% | 57.1% | |
| 62.50% | 8 | 2.4 | 754 | 12,421 | 0.0% | 83.3% | |
| 75.00% | 8 | 4.4 | 974 | 9,994 | 100.0% | 50.0% | |
| 42.86% | 7 | 5.8 | 883 | 8,313 | 75.0% | 0.0% | |
| 42.86% | 7 | 6.2 | 966 | 13,221 | 0.0% | 60.0% | |
| 57.14% | 7 | 2.8 | 767 | 8,807 | 66.7% | 0.0% | |
| 42.86% | 7 | 6.8 | 717 | 12,998 | 66.7% | 25.0% | |
| 71.43% | 7 | 3.8 | 948 | 13,506 | 100.0% | 66.7% | |
| 57.14% | 7 | 4.4 | 807 | 10,356 | 33.3% | 75.0% | |
| 57.14% | 7 | 6.5 | 959 | 11,454 | 66.7% | 50.0% | |
| 42.86% | 7 | 4.9 | 1,002 | 8,848 | 0.0% | 60.0% | |
| 33.33% | 6 | 3.7 | 525 | 7,857 | 25.0% | 50.0% | |
| 33.33% | 6 | 4.8 | 737 | 11,645 | 0.0% | 50.0% | |
| 16.67% | 6 | 6.3 | 841 | 11,915 | 0.0% | 33.3% | |
| 50.00% | 6 | 5.5 | 736 | 10,268 | 100.0% | 25.0% | |
| 50.00% | 6 | 2.0 | 703 | 8,162 | 25.0% | 100.0% | |
| 50.00% | 6 | 4.6 | 769 | 13,157 | 0.0% | 60.0% | |
| 60.00% | 5 | 3.5 | 1,018 | 10,809 | 66.7% | 50.0% | |
| 40.00% | 5 | 6.5 | 652 | 10,747 | 50.0% | 33.3% | |
| 100.00% | 5 | 3.2 | 760 | 9,537 | 100.0% | 100.0% | |
夺取制胜优势
实时覆盖层、自动比赛追踪和专属工具——助你上分所需的一切,在 PC 上免费使用。
- 游戏内覆盖层
- 自动比赛追踪
- 桌面端专属工具
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.
光辉女郎 vs 不祥之刃 - 常见问题
在英雄联盟中,光辉女郎对不祥之刃表现如何?
不祥之刃以51.6%的胜率赢得光辉女郎 vs 不祥之刃的对决,而光辉女郎为48.4%,相差3.3个百分点。该数据基于26.14版本的91场近期排位赛。
在前期,光辉女郎对不祥之刃表现如何?
在前期,不祥之刃对光辉女郎占有优势,胜率为51.3%对48.7%。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,光辉女郎对不祥之刃表现如何?
在后期,不祥之刃以51.9%对48.1%的胜率主导光辉女郎 vs 不祥之刃的对决。不祥之刃在25分钟后的团战和目标争夺中成长更强。
谁赢得光辉女郎 vs 不祥之刃的对决?
不祥之刃在英雄联盟26.14版本中以51.6%的胜率赢得对光辉女郎的对决。3.3个百分点的优势意味着根据91场分析的比赛,不祥之刃在这个线上对决中moderately占优。
对抗不祥之刃的最佳光辉女郎出装是什么?
对抗不祥之刃的最佳光辉女郎出装包括卢登的回声, 风暴狂涌, 影焰 with 灵能使之靴。This build achieves a 55.0% 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。
对抗不祥之刃的最佳光辉女郎符文是什么?
对抗不祥之刃的最佳光辉女郎符文使用巫术主系和主宰副系。This rune setup achieves a 58.1% win rate in the 光辉女郎 vs 不祥之刃 matchup. 查看上方对决比较中的完整符文分析。
光辉女郎克制不祥之刃吗?
不,光辉女郎对抗不祥之刃时表现吃力,胜率仅为48.4%。不祥之刃在这个对决中占优。光辉女郎玩家应该专注于安全补刀,避免长时间换血以减少不祥之刃的领先优势。
如何用光辉女郎对战不祥之刃?
当光辉女郎对战不祥之刃时,谨慎游戏并避开不祥之刃的强势期。Look for jungle assistance and team-dependent plays since 不祥之刃 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。
