皎月女神对阵 放逐之刃
皎月女神 vs 放逐之刃在LoL版本26.10中是a decisive对线。放逐之刃以60.0%胜率(+20.0%)击败皎月女神，基于10场比赛。放逐之刃 wins the early laning phase while 皎月女神 scales better into the late game.下方您将找到皎月女神 vs 放逐之刃对线的最佳皎月女神出装、符文、对线统计和策略。
皎月女神 Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how 皎月女神 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 皎月女神 vs 放逐之刃 Matchup?
皎月女神对战放逐之刃对决摘要
皎月女神对战放逐之刃在英雄联盟排位赛中是决定性的对决。根据10场近期比赛的分析，放逐之刃以60.0%的胜率获胜，相比皎月女神的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：放逐之刃控制早期对线阶段，但皎月女神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——放逐之刃需要在皎月女神达到强势期之前压制优势，而皎月女神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控制技能方面，放逐之刃领先0.8s CC/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。皎月女神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。
皎月女神对战放逐之刃对线阶段分析
放逐之刃在对线阶段对阵皎月女神时更有优势，赢得5个关键统计类别中的4个。放逐之刃在补刀, 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 皎月女神 Build Against 放逐之刃
灵能使之靴是对抗放逐之刃的最佳鞋子选择，提供皎月女神在这场对决中最需要的移动速度和属性。 皎月女神对抗放逐之刃表现最好的核心装备是兰德里的折磨, 影焰 和 虚空之杖。这一组合给皎月女神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1场比赛中达到100.0%胜率——远高于平均水平，使其成为对抗放逐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，但这套出装为皎月女神对战放逐之刃对决提供了最强的基础。
Early Game vs Late Game
皎月女神33.3%放逐之刃66.7%皎月女神50.0%放逐之刃50.0%放逐之刃以令人印象深刻的66.7%胜率主导前期（前15分钟）——领先皎月女神 33.3个百分点。这一不平衡的前期意味着放逐之刃可以从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，皎月女神以50.0%胜率——仅领先放逐之刃 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。
力量动态随着游戏进行而变化——放逐之刃早期有优势，但皎月女神逐渐接管。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 皎月女神 Runes Against 放逐之刃
精密
启迪
精密和启迪符文设置给皎月女神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26.10版本皎月女神对线数据。下表显示皎月女神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，包括皎月女神最佳出装、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 |
|---|---|---|---|---|---|---|---|
| 48.39% | 124 | 6.0 | 865 | 12,316 | 57.9% | 40.3% | |
| 44.83% | 116 | 6.1 | 860 | 12,631 | 47.7% | 43.1% | |
| 40.19% | 107 | 1.2 | 677 | 11,807 | 46.4% | 33.3% | |
| 46.46% | 99 | 1.4 | 702 | 12,098 | 42.9% | 49.1% | |
| 47.47% | 99 | 3.5 | 782 | 11,909 | 46.8% | 48.1% | |
| 51.04% | 96 | 1.4 | 729 | 12,926 | 48.7% | 52.6% | |
| 39.13% | 92 | 5.7 | 928 | 11,941 | 35.9% | 41.5% | |
| 46.15% | 91 | 3.8 | 876 | 11,749 | 42.3% | 51.3% | |
| 50.00% | 90 | 1.6 | 705 | 12,413 | 43.6% | 54.9% | |
| 44.05% | 84 | 2.5 | 835 | 11,340 | 46.9% | 40.0% | |
| 46.43% | 84 | 5.5 | 934 | 12,340 | 50.0% | 44.4% | |
| 51.81% | 83 | 6.1 | 998 | 11,719 | 51.1% | 52.8% | |
| 46.99% | 83 | 5.7 | 926 | 12,017 | 54.5% | 42.0% | |
| 48.75% | 80 | 5.7 | 869 | 12,060 | 55.6% | 45.3% | |
| 48.05% | 77 | 4.1 | 845 | 12,614 | 41.4% | 52.1% | |
| 48.68% | 76 | 1.2 | 699 | 12,526 | 55.6% | 42.5% | |
| 51.32% | 76 | 6.1 | 972 | 11,871 | 54.8% | 47.1% | |
| 45.95% | 74 | 1.9 | 729 | 11,972 | 38.5% | 54.3% | |
| 42.86% | 70 | 1.4 | 612 | 11,268 | 39.4% | 46.0% | |
| 52.17% | 69 | 5.8 | 871 | 12,426 | 60.7% | 46.3% | |
| 55.88% | 68 | 1.4 | 748 | 13,407 | 63.6% | 48.6% | |
| 47.76% | 67 | 5.7 | 764 | 10,891 | 53.3% | 43.2% | |
| 59.09% | 66 | 1.3 | 737 | 12,644 | 64.7% | 53.1% | |
| 44.62% | 65 | 6.0 | 886 | 11,725 | 52.8% | 34.5% | |
| 43.08% | 65 | 1.2 | 659 | 11,942 | 34.6% | 48.7% | |
| 50.85% | 59 | 3.4 | 730 | 12,187 | 63.0% | 40.6% | |
| 47.37% | 57 | 5.5 | 797 | 11,635 | 52.2% | 44.1% | |
| 45.61% | 57 | 5.7 | 804 | 11,200 | 50.0% | 41.9% | |
| 48.15% | 54 | 1.4 | 708 | 12,903 | 47.8% | 48.4% | |
| 50.94% | 53 | 5.8 | 777 | 11,417 | 41.7% | 58.6% | |
| 47.92% | 48 | 1.4 | 812 | 13,421 | 45.0% | 50.0% | |
| 47.83% | 46 | 1.5 | 703 | 12,325 | 50.0% | 45.8% | |
| 46.67% | 45 | 5.7 | 1,040 | 11,638 | 44.0% | 50.0% | |
| 41.86% | 43 | 6.4 | 934 | 12,650 | 42.1% | 41.7% | |
| 45.24% | 42 | 1.6 | 737 | 12,876 | 42.1% | 47.8% | |
| 47.62% | 42 | 1.5 | 725 | 12,891 | 52.9% | 44.0% | |
| 38.10% | 42 | 5.7 | 1,051 | 13,024 | 40.0% | 37.0% | |
| 39.02% | 41 | 6.1 | 798 | 10,062 | 39.1% | 38.9% | |
| 46.34% | 41 | 6.2 | 916 | 12,657 | 46.7% | 46.1% | |
| 56.41% | 39 | 3.6 | 778 | 13,582 | 72.7% | 50.0% | |
| 44.74% | 38 | 1.2 | 652 | 12,091 | 31.3% | 54.5% | |
| 47.37% | 38 | 6.1 | 949 | 12,577 | 37.5% | 54.5% | |
| 48.65% | 37 | 1.8 | 708 | 11,947 | 50.0% | 47.1% | |
| 48.65% | 37 | 5.9 | 821 | 12,304 | 66.7% | 36.4% | |
| 47.22% | 36 | 2.1 | 802 | 12,589 | 57.1% | 40.9% | |
| 68.57% | 35 | 5.8 | 942 | 12,517 | 66.7% | 70.0% | |
| 60.00% | 35 | 1.3 | 744 | 12,627 | 60.0% | 60.0% | |
| 36.36% | 33 | 6.1 | 917 | 10,909 | 36.8% | 35.7% | |
| 48.48% | 33 | 4.9 | 907 | 13,036 | 40.0% | 52.2% | |
| 48.39% | 31 | 1.5 | 774 | 14,124 | 60.0% | 42.9% | |
| 67.74% | 31 | 5.7 | 956 | 10,250 | 66.7% | 68.8% | |
| 40.00% | 30 | 3.4 | 726 | 11,110 | 57.1% | 25.0% | |
| 37.93% | 29 | 1.4 | 590 | 11,876 | 41.7% | 35.3% | |
| 48.28% | 29 | 1.4 | 838 | 13,632 | 66.7% | 40.0% | |
| 42.86% | 28 | 6.0 | 855 | 10,776 | 66.7% | 15.4% | |
| 48.15% | 27 | 5.7 | 886 | 11,835 | 50.0% | 45.5% | |
| 38.46% | 26 | 1.8 | 702 | 11,863 | 41.7% | 35.7% | |
| 30.77% | 26 | 4.3 | 773 | 11,137 | 36.4% | 26.7% | |
| 48.00% | 25 | 2.0 | 839 | 13,672 | 50.0% | 46.7% | |
| 54.17% | 24 | 1.3 | 715 | 12,611 | 55.6% | 53.3% | |
| 58.33% | 24 | 4.4 | 873 | 11,862 | 72.7% | 46.1% | |
| 56.52% | 23 | 5.6 | 811 | 11,639 | 54.5% | 58.3% | |
| 34.78% | 23 | 5.8 | 845 | 11,591 | 33.3% | 35.7% | |
| 54.55% | 22 | 1.4 | 645 | 11,997 | 45.5% | 63.6% | |
| 31.82% | 22 | 2.4 | 704 | 12,511 | 40.0% | 25.0% | |
| 52.38% | 21 | 1.8 | 797 | 13,844 | 37.5% | 61.5% | |
| 42.86% | 21 | 3.2 | 810 | 11,181 | 36.4% | 50.0% | |
| 55.00% | 20 | 6.4 | 1,014 | 13,321 | 62.5% | 50.0% | |
| 35.00% | 20 | 1.8 | 804 | 14,910 | 50.0% | 31.3% | |
| 40.00% | 20 | 5.7 | 1,084 | 11,897 | 40.0% | 40.0% | |
| 47.37% | 19 | 2.7 | 748 | 11,668 | 63.6% | 25.0% | |
| 36.84% | 19 | 5.9 | 918 | 12,460 | 50.0% | 22.2% | |
| 55.56% | 18 | 2.6 | 842 | 12,182 | 33.3% | 66.7% | |
| 76.47% | 17 | 1.4 | 725 | 11,485 | 77.8% | 75.0% | |
| 47.06% | 17 | 4.7 | 836 | 11,135 | 70.0% | 14.3% | |
| 31.25% | 16 | 1.1 | 592 | 11,534 | 50.0% | 12.5% | |
| 43.75% | 16 | 4.9 | 742 | 10,447 | 37.5% | 50.0% | |
| 43.75% | 16 | 5.5 | 1,119 | 12,493 | 40.0% | 45.5% | |
| 40.00% | 15 | 2.5 | 794 | 15,210 | 40.0% | 40.0% | |
| 53.33% | 15 | 1.8 | 658 | 11,632 | 42.9% | 62.5% | |
| 33.33% | 15 | 2.4 | 663 | 12,562 | 37.5% | 28.6% | |
| 46.67% | 15 | 1.4 | 783 | 13,583 | 37.5% | 57.1% | |
| 66.67% | 15 | 2.4 | 756 | 13,131 | 77.8% | 50.0% | |
| 28.57% | 14 | 3.5 | 805 | 11,345 | 28.6% | 28.6% | |
| 64.29% | 14 | 4.9 | 923 | 11,856 | 62.5% | 66.7% | |
| 50.00% | 14 | 2.6 | 814 | 12,473 | 37.5% | 66.7% | |
| 61.54% | 13 | 5.9 | 923 | 13,149 | 66.7% | 57.1% | |
| 69.23% | 13 | 5.1 | 866 | 12,935 | 62.5% | 80.0% | |
| 61.54% | 13 | 6.2 | 973 | 11,800 | 80.0% | 50.0% | |
| 33.33% | 12 | 2.1 | 793 | 11,681 | 44.4% | 0.0% | |
| 58.33% | 12 | 1.7 | 750 | 13,677 | 100.0% | 54.5% | |
| 41.67% | 12 | 5.2 | 891 | 9,206 | 33.3% | 50.0% | |
| 50.00% | 12 | 2.5 | 966 | 15,601 | 100.0% | 40.0% | |
| 50.00% | 12 | 6.3 | 923 | 11,977 | 57.1% | 40.0% | |
| 18.18% | 11 | 1.4 | 772 | 12,389 | 20.0% | 16.7% | |
| 45.45% | 11 | 6.5 | 1,220 | 15,501 | 60.0% | 33.3% | |
| 18.18% | 11 | 3.0 | 705 | 9,117 | 20.0% | 16.7% | |
| 72.73% | 11 | 4.6 | 810 | 12,963 | 83.3% | 60.0% | |
| 81.82% | 11 | 4.9 | 831 | 13,433 | 100.0% | 60.0% | |
| 40.00% | 10 | 5.9 | 817 | 12,255 | 33.3% | 50.0% | |
| 50.00% | 10 | 6.2 | 891 | 12,047 | 33.3% | 57.1% | |
| 60.00% | 10 | 4.0 | 821 | 12,129 | 71.4% | 33.3% | |
| 55.56% | 9 | 4.1 | 848 | 11,712 | 25.0% | 80.0% | |
| 44.44% | 9 | 4.0 | 822 | 10,628 | 60.0% | 25.0% | |
| 44.44% | 9 | 2.0 | 567 | 8,911 | 44.4% | 0.0% | |
| 37.50% | 8 | 5.4 | 730 | 8,507 | 16.7% | 100.0% | |
| 62.50% | 8 | 6.7 | 916 | 11,731 | 75.0% | 50.0% | |
| 71.43% | 7 | 1.4 | 826 | 11,270 | 60.0% | 100.0% | |
| 71.43% | 7 | 5.3 | 612 | 8,002 | 66.7% | 100.0% | |
| 33.33% | 6 | 5.8 | 871 | 11,433 | 0.0% | 50.0% | |
| 50.00% | 6 | 4.6 | 741 | 12,316 | 50.0% | 50.0% | |
| 16.67% | 6 | 5.7 | 935 | 11,484 | 0.0% | 50.0% | |
| 33.33% | 6 | 1.1 | 688 | 13,379 | 50.0% | 25.0% | |
| 80.00% | 5 | 4.9 | 829 | 11,960 | 100.0% | 66.7% | |
| 60.00% | 5 | 5.0 | 987 | 11,294 | 100.0% | 33.3% | |
| 80.00% | 5 | 5.8 | 970 | 9,659 | 66.7% | 100.0% | |
皎月女神 vs 放逐之刃 - 常见问题
在英雄联盟中，皎月女神对放逐之刃表现如何？
放逐之刃以60.0%的胜率赢得皎月女神 vs 放逐之刃的对决，而皎月女神为40.0%，相差20.0个百分点。该数据基于26.10版本的10场近期排位赛。
在前期，皎月女神对放逐之刃表现如何？
在前期，放逐之刃对皎月女神占有优势，胜率为66.7%对33.3%。放逐之刃玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，皎月女神对放逐之刃表现如何？
在后期，皎月女神以50.0%对50.0%的胜率主导皎月女神 vs 放逐之刃的对决。皎月女神在25分钟后的团战和目标争夺中成长更强。
谁赢得皎月女神 vs 放逐之刃的对决？
放逐之刃在英雄联盟26.10版本中以60.0%的胜率赢得对皎月女神的对决。20.0个百分点的优势意味着根据10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皎月女神出装是什么？
对抗放逐之刃的最佳皎月女神出装包括兰德里的折磨, 影焰, 虚空之杖 with 灵能使之靴。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。
对抗放逐之刃的最佳皎月女神符文是什么？
对抗放逐之刃的最佳皎月女神符文使用精密主系和启迪副系。This rune setup achieves a 100.0% win rate in the 皎月女神 vs 放逐之刃 matchup. 查看上方对决比较中的完整符文分析。
皎月女神克制放逐之刃吗？
不，皎月女神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。皎月女神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。
如何用皎月女神对战放逐之刃？
当皎月女神对战放逐之刃时，谨慎游戏并避开放逐之刃的强势期。Focus on safe farming — you outscale 放逐之刃 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。