光辉女郎对阵 放逐之刃
光辉女郎 vs 放逐之刃在LoL版本26.7中是a decisive对线。放逐之刃以60.0%胜率(+20.0%)击败光辉女郎，基于5场比赛。光辉女郎 wins the early laning phase while 放逐之刃 scales better into the late game.下方您将找到光辉女郎 vs 放逐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 Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how 光辉女郎 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.
放逐之刃(40.0%)Who Wins the 光辉女郎 vs 放逐之刃 Matchup?
光辉女郎对战放逐之刃对决摘要
光辉女郎对战放逐之刃在英雄联盟排位赛中是决定性的对决。根据5场近期比赛的分析，放逐之刃以60.0%的胜率获胜，相比光辉女郎的40.0%，给予放逐之刃 20.0个百分点的优势。 游戏阶段动态在此起着关键作用：光辉女郎控制早期对线阶段，但放逐之刃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——光辉女郎需要在放逐之刃达到强势期之前压制优势，而放逐之刃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续航方面，放逐之刃领先1,355 HP/min——这一差异严重影响换血和小规模团战的结果。 放逐之刃在这场对决中有强大优势。光辉女郎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放逐之刃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。
光辉女郎对战放逐之刃对线阶段分析
光辉女郎在对线阶段对阵放逐之刃时更有优势，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 放逐之刃
猩红明朗是对抗放逐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。 光辉女郎对抗放逐之刃表现最好的核心装备是视界专注, 蜕生 和 残疫。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。 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放逐之刃对决提供了最强的基础。
Early Game vs Late Game
光辉女郎50.0%放逐之刃50.0%光辉女郎33.3%放逐之刃66.7%前期（前15分钟）是光辉女郎和放逐之刃之间的抛硬币，光辉女郎以微弱的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。
放逐之刃在后期（25分钟以上）远远更强，拥有66.7%胜率——比光辉女郎高33.3点。长时间游戏强烈有利于放逐之刃，其技能组和成长使其成为团战和目标控制中的主导力量。
力量动态随着游戏进行而变化——光辉女郎早期有优势，但放逐之刃逐渐接管。然而，差距足够小，任何英雄都可以在任何阶段用正确的操作获胜。专注于在有优势时利用它们，而不是等待特定的游戏阶段。
Best 光辉女郎 Runes Against 放逐之刃
巫术
主宰
巫术和主宰符文设置给光辉女郎在这场困难对决中与放逐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26.7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 |
|---|---|---|---|---|---|---|---|
| 44.00% | 300 | 2.0 | 709 | 9,995 | 48.9% | 40.1% | |
| 45.82% | 299 | 2.2 | 715 | 10,274 | 55.0% | 40.4% | |
| 54.11% | 292 | 2.5 | 762 | 10,893 | 52.3% | 55.3% | |
| 48.75% | 279 | 1.9 | 707 | 9,833 | 51.5% | 46.3% | |
| 47.30% | 241 | 2.0 | 705 | 10,170 | 49.1% | 45.9% | |
| 46.90% | 226 | 4.1 | 740 | 10,736 | 52.4% | 43.7% | |
| 48.89% | 225 | 2.1 | 736 | 10,077 | 53.7% | 45.4% | |
| 51.47% | 204 | 4.2 | 752 | 10,939 | 48.1% | 53.6% | |
| 45.64% | 195 | 6.2 | 905 | 11,892 | 38.4% | 50.0% | |
| 47.92% | 192 | 2.9 | 769 | 10,459 | 51.3% | 45.7% | |
| 48.92% | 186 | 2.0 | 778 | 10,061 | 56.1% | 43.3% | |
| 46.15% | 169 | 2.1 | 784 | 10,653 | 51.4% | 42.1% | |
| 44.91% | 167 | 2.0 | 669 | 10,225 | 47.1% | 43.3% | |
| 58.54% | 164 | 2.7 | 864 | 10,695 | 58.1% | 58.8% | |
| 44.44% | 162 | 6.5 | 831 | 12,267 | 38.3% | 48.0% | |
| 41.94% | 155 | 2.1 | 702 | 9,828 | 48.5% | 37.1% | |
| 49.02% | 153 | 2.0 | 732 | 9,411 | 41.8% | 54.6% | |
| 42.76% | 152 | 2.0 | 701 | 9,669 | 50.8% | 36.5% | |
| 51.77% | 141 | 5.4 | 874 | 11,560 | 54.7% | 50.0% | |
| 48.82% | 127 | 2.9 | 729 | 10,700 | 50.0% | 48.0% | |
| 42.86% | 126 | 2.2 | 702 | 10,798 | 35.1% | 46.1% | |
| 44.54% | 119 | 6.2 | 778 | 11,063 | 41.1% | 47.6% | |
| 53.39% | 118 | 2.0 | 569 | 9,827 | 65.5% | 42.9% | |
| 47.37% | 114 | 1.9 | 644 | 8,918 | 50.8% | 43.4% | |
| 47.62% | 105 | 6.4 | 904 | 11,956 | 48.9% | 46.7% | |
| 56.31% | 103 | 6.5 | 957 | 11,219 | 53.3% | 60.5% | |
| 45.63% | 103 | 2.1 | 640 | 9,463 | 46.3% | 44.9% | |
| 44.55% | 101 | 2.7 | 768 | 10,511 | 41.3% | 47.3% | |
| 47.00% | 100 | 2.2 | 815 | 10,546 | 57.6% | 41.8% | |
| 53.19% | 94 | 6.1 | 892 | 11,441 | 56.8% | 50.0% | |
| 43.33% | 90 | 5.5 | 835 | 12,031 | 45.2% | 42.4% | |
| 51.69% | 89 | 5.8 | 772 | 11,525 | 50.0% | 52.9% | |
| 54.12% | 85 | 6.3 | 931 | 12,426 | 52.9% | 54.9% | |
| 61.25% | 80 | 6.0 | 791 | 11,937 | 69.0% | 56.9% | |
| 54.43% | 79 | 2.0 | 743 | 9,850 | 62.2% | 47.6% | |
| 48.61% | 72 | 2.7 | 752 | 10,019 | 48.6% | 48.6% | |
| 43.06% | 72 | 1.9 | 727 | 10,600 | 41.7% | 43.8% | |
| 48.57% | 70 | 2.1 | 717 | 10,514 | 53.9% | 45.5% | |
| 61.76% | 68 | 5.8 | 839 | 11,593 | 77.8% | 51.2% | |
| 46.27% | 67 | 5.3 | 915 | 10,906 | 43.3% | 48.6% | |
| 55.22% | 67 | 6.0 | 874 | 11,272 | 55.2% | 55.3% | |
| 66.67% | 66 | 4.7 | 727 | 10,422 | 80.0% | 55.6% | |
| 60.00% | 65 | 5.4 | 812 | 10,524 | 66.7% | 55.3% | |
| 59.38% | 64 | 4.4 | 789 | 11,549 | 55.2% | 62.9% | |
| 54.55% | 55 | 6.0 | 943 | 11,354 | 70.8% | 41.9% | |
| 60.00% | 55 | 6.5 | 939 | 11,868 | 66.7% | 54.8% | |
| 48.15% | 54 | 2.2 | 683 | 10,359 | 37.0% | 59.3% | |
| 48.08% | 52 | 6.0 | 781 | 11,280 | 47.6% | 48.4% | |
| 55.77% | 52 | 6.4 | 852 | 12,468 | 50.0% | 57.9% | |
| 50.00% | 52 | 4.5 | 899 | 10,558 | 50.0% | 50.0% | |
| 41.18% | 51 | 6.0 | 913 | 13,339 | 50.0% | 34.5% | |
| 50.98% | 51 | 6.3 | 840 | 11,738 | 59.1% | 44.8% | |
| 50.00% | 50 | 5.6 | 871 | 11,080 | 51.9% | 47.8% | |
| 54.00% | 50 | 2.1 | 782 | 10,391 | 63.6% | 46.4% | |
| 57.14% | 49 | 2.1 | 676 | 9,893 | 60.0% | 54.2% | |
| 47.92% | 48 | 6.1 | 904 | 12,117 | 52.9% | 45.2% | |
| 57.45% | 47 | 4.8 | 812 | 11,532 | 81.3% | 45.2% | |
| 40.43% | 47 | 6.3 | 919 | 12,308 | 35.0% | 44.4% | |
| 39.13% | 46 | 2.2 | 696 | 9,870 | 31.3% | 43.3% | |
| 55.56% | 45 | 3.0 | 745 | 11,449 | 64.7% | 50.0% | |
| 57.78% | 45 | 6.3 | 842 | 11,284 | 57.9% | 57.7% | |
| 51.11% | 45 | 2.2 | 779 | 10,197 | 61.1% | 44.4% | |
| 50.00% | 42 | 6.6 | 948 | 12,829 | 58.8% | 44.0% | |
| 42.86% | 42 | 6.4 | 798 | 11,976 | 58.3% | 22.2% | |
| 61.54% | 39 | 5.8 | 921 | 13,255 | 55.6% | 66.7% | |
| 51.28% | 39 | 5.8 | 896 | 11,797 | 56.3% | 47.8% | |
| 41.03% | 39 | 6.8 | 900 | 12,505 | 36.4% | 47.1% | |
| 51.35% | 37 | 6.0 | 899 | 12,253 | 56.3% | 47.6% | |
| 54.05% | 37 | 3.6 | 823 | 11,911 | 71.4% | 43.5% | |
| 44.44% | 36 | 2.6 | 752 | 10,530 | 46.1% | 43.5% | |
| 40.00% | 35 | 6.6 | 899 | 11,583 | 28.6% | 57.1% | |
| 57.14% | 35 | 6.5 | 864 | 12,027 | 80.0% | 48.0% | |
| 45.71% | 35 | 5.5 | 851 | 12,287 | 35.7% | 52.4% | |
| 64.71% | 34 | 2.1 | 766 | 9,487 | 63.6% | 66.7% | |
| 55.88% | 34 | 6.6 | 924 | 12,249 | 66.7% | 50.0% | |
| 41.94% | 31 | 2.3 | 718 | 10,852 | 25.0% | 52.6% | |
| 51.61% | 31 | 6.3 | 911 | 12,299 | 30.0% | 61.9% | |
| 46.67% | 30 | 2.2 | 700 | 9,838 | 50.0% | 44.4% | |
| 50.00% | 30 | 6.5 | 967 | 13,818 | 45.5% | 52.6% | |
| 57.14% | 28 | 6.3 | 825 | 11,720 | 61.5% | 53.3% | |
| 50.00% | 26 | 5.1 | 682 | 11,507 | 60.0% | 43.8% | |
| 46.15% | 26 | 6.1 | 892 | 11,578 | 66.7% | 35.3% | |
| 39.13% | 23 | 2.0 | 828 | 11,350 | 37.5% | 40.0% | |
| 50.00% | 22 | 4.4 | 822 | 12,601 | 50.0% | 50.0% | |
| 73.68% | 19 | 6.8 | 946 | 14,167 | 85.7% | 66.7% | |
| 38.89% | 18 | 4.5 | 929 | 9,703 | 33.3% | 44.4% | |
| 27.78% | 18 | 5.7 | 789 | 11,429 | 12.5% | 40.0% | |
| 58.82% | 17 | 6.0 | 948 | 14,221 | 40.0% | 66.7% | |
| 47.06% | 17 | 7.2 | 742 | 12,176 | 42.9% | 50.0% | |
| 41.18% | 17 | 4.0 | 796 | 9,939 | 42.9% | 40.0% | |
| 68.75% | 16 | 6.6 | 773 | 11,156 | 50.0% | 87.5% | |
| 68.75% | 16 | 5.7 | 936 | 13,627 | 50.0% | 71.4% | |
| 60.00% | 15 | 7.0 | 699 | 12,773 | 83.3% | 44.4% | |
| 66.67% | 15 | 6.9 | 865 | 12,630 | 57.1% | 75.0% | |
| 57.14% | 14 | 6.0 | 829 | 11,236 | 57.1% | 57.1% | |
| 61.54% | 13 | 6.7 | 876 | 13,627 | 60.0% | 62.5% | |
| 58.33% | 12 | 6.7 | 934 | 13,406 | 37.5% | 100.0% | |
| 58.33% | 12 | 2.0 | 746 | 12,105 | 50.0% | 62.5% | |
| 27.27% | 11 | 6.8 | 729 | 12,406 | 25.0% | 28.6% | |
| 72.73% | 11 | 7.0 | 974 | 14,725 | 100.0% | 66.7% | |
| 36.36% | 11 | 2.0 | 673 | 10,656 | 40.0% | 33.3% | |
| 63.64% | 11 | 7.2 | 880 | 12,320 | 100.0% | 33.3% | |
| 63.64% | 11 | 5.8 | 1,010 | 12,764 | 75.0% | 57.1% | |
| 81.82% | 11 | 3.0 | 769 | 11,528 | 80.0% | 83.3% | |
| 50.00% | 10 | 4.7 | 922 | 13,901 | 60.0% | 40.0% | |
| 60.00% | 10 | 2.5 | 802 | 10,246 | 50.0% | 66.7% | |
| 20.00% | 10 | 3.7 | 779 | 10,544 | 20.0% | 20.0% | |
| 30.00% | 10 | 7.1 | 785 | 11,790 | 20.0% | 40.0% | |
| 80.00% | 10 | 5.2 | 1,045 | 13,306 | 100.0% | 77.8% | |
| 30.00% | 10 | 3.5 | 761 | 10,367 | 50.0% | 16.7% | |
| 44.44% | 9 | 4.4 | 874 | 12,477 | 40.0% | 50.0% | |
| 44.44% | 9 | 3.4 | 700 | 10,872 | 66.7% | 33.3% | |
| 66.67% | 9 | 2.3 | 698 | 12,222 | 66.7% | 66.7% | |
| 44.44% | 9 | 7.1 | 819 | 13,555 | 60.0% | 25.0% | |
| 50.00% | 8 | 2.9 | 792 | 10,540 | 40.0% | 66.7% | |
| 28.57% | 7 | 6.4 | 783 | 11,813 | 66.7% | 0.0% | |
| 57.14% | 7 | 5.3 | 836 | 11,438 | 100.0% | 0.0% | |
| 28.57% | 7 | 3.5 | 641 | 9,244 | 33.3% | 25.0% | |
| 57.14% | 7 | 1.6 | 628 | 6,485 | 80.0% | 0.0% | |
| 42.86% | 7 | 6.0 | 791 | 12,196 | 50.0% | 40.0% | |
| 42.86% | 7 | 2.3 | 804 | 13,319 | 0.0% | 42.9% | |
| 57.14% | 7 | 6.0 | 748 | 11,025 | 60.0% | 50.0% | |
| 42.86% | 7 | 4.0 | 576 | 8,698 | 50.0% | 33.3% | |
| 83.33% | 6 | 3.2 | 853 | 9,083 | 100.0% | 0.0% | |
| 33.33% | 6 | 3.5 | 716 | 11,517 | 50.0% | 25.0% | |
| 66.67% | 6 | 2.1 | 581 | 10,704 | 100.0% | 50.0% | |
| 80.00% | 5 | 6.7 | 894 | 15,109 | 100.0% | 66.7% | |
| 50.00% | 5 | 5.8 | 1,008 | 12,717 | 100.0% | 0.0% | |
| 60.00% | 5 | 6.8 | 775 | 10,412 | 75.0% | 0.0% | |
| 60.00% | 5 | 3.5 | 836 | 11,270 | 33.3% | 100.0% | |
| 40.00% | 5 | 6.1 | 905 | 12,679 | 50.0% | 33.3% | |
| 80.00% | 5 | 6.6 | 767 | 10,999 | 66.7% | 100.0% | |
| 60.00% | 5 | 6.1 | 1,041 | 15,097 | 50.0% | 66.7% | |
| 40.00% | 5 | 3.4 | 853 | 10,423 | 33.3% | 50.0% | |
| 40.00% | 5 | 2.0 | 697 | 11,612 | 100.0% | 25.0% | |
| 40.00% | 5 | 4.9 | 796 | 10,624 | 50.0% | 33.3% | |
| 20.00% | 5 | 7.3 | 782 | 13,271 | 0.0% | 25.0% | |
| 60.00% | 5 | 6.4 | 848 | 11,505 | 100.0% | 50.0% | |
光辉女郎 vs 放逐之刃 - 常见问题
在英雄联盟中，光辉女郎对放逐之刃表现如何？
放逐之刃以60.0%的胜率赢得光辉女郎 vs 放逐之刃的对决，而光辉女郎为40.0%，相差20.0个百分点。该数据基于26.7版本的5场近期排位赛。
在前期，光辉女郎对放逐之刃表现如何？
在前期，光辉女郎对放逐之刃占有优势，胜率为50.0%对50.0%。光辉女郎玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，光辉女郎对放逐之刃表现如何？
在后期，放逐之刃以66.7%对33.3%的胜率主导光辉女郎 vs 放逐之刃的对决。放逐之刃在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 放逐之刃的对决？
放逐之刃在英雄联盟26.7版本中以60.0%的胜率赢得对光辉女郎的对决。20.0个百分点的优势意味着根据5场分析的比赛，放逐之刃在这个线上对决中significantly占优。
对抗放逐之刃的最佳光辉女郎出装是什么？
对抗放逐之刃的最佳光辉女郎出装包括视界专注, 蜕生, 残疫 with 猩红明朗。 查看上方的对决分析了解完整的出装路线和顺序。
对抗放逐之刃的最佳光辉女郎符文是什么？
对抗放逐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 100.0% win rate in the 光辉女郎 vs 放逐之刃 matchup. 查看上方对决比较中的完整符文分析。
光辉女郎克制放逐之刃吗？
不，光辉女郎对抗放逐之刃时表现吃力，胜率仅为40.0%。放逐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放逐之刃的领先优势。
如何用光辉女郎对战放逐之刃？
当光辉女郎对战放逐之刃时，谨慎游戏并避开放逐之刃的强势期。Look for jungle assistance and team-dependent plays since 放逐之刃 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。