恶魔小丑对阵 影流之镰
恶魔小丑 vs 影流之镰在LoL版本26.10中是a very close对线。影流之镰以50.3%胜率(+0.6%)击败恶魔小丑，基于332场比赛。影流之镰 wins the early laning phase while 恶魔小丑 scales better into the late game.下方您将找到恶魔小丑 vs 影流之镰对线的最佳恶魔小丑出装、符文、对线统计和策略。
恶魔小丑对线分析
使用下拉菜单选择对手，查看恶魔小丑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。
恶魔小丑 vs 影流之镰对线谁赢？
恶魔小丑对战影流之镰对决摘要
恶魔小丑对战影流之镰在英雄联盟排位赛中是本质上是五五开的对决。根据332场近期比赛的分析，影流之镰以50.3%的胜率获胜，相比恶魔小丑的49.7%，给予影流之镰 0.6个百分点的优势。 游戏阶段动态在此起着关键作用：影流之镰控制早期对线阶段，但恶魔小丑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——影流之镰需要在恶魔小丑达到强势期之前压制优势，而恶魔小丑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，影流之镰领先705 HP/min——这一差异严重影响换血和小规模团战的结果。 虽然影流之镰略占优势，但恶魔小丑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，并利用影流之镰的失误。 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。
恶魔小丑对战影流之镰对线阶段分析
影流之镰在对线阶段对阵恶魔小丑时更有优势，赢得5个关键统计类别中的4个。影流之镰在补刀, 伤害, 金币收入 和 续航方面有优势，使其成为这场对决中更强的对线者。
Best 恶魔小丑 Build Against 影流之镰
法师之靴是对抗影流之镰的最佳鞋子选择，提供恶魔小丑在这场对决中最需要的移动速度和属性。 恶魔小丑对抗影流之镰表现最好的核心装备是兰德里的折磨, 影焰 和 残疫。这一组合给恶魔小丑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4场比赛中达到100.0%胜率——远高于平均水平，使其成为对抗影流之镰的最佳装备路径。 可能需要根据队伍阵容和游戏状态进行调整，但这套出装为恶魔小丑对战影流之镰对决提供了最强的基础。
Early Game vs Late Game
恶魔小丑47.2%
影流之镰52.8%恶魔小丑50.9%影流之镰49.1%影流之镰以令人印象深刻的52.8%胜率主导前期（前15分钟）——领先恶魔小丑 5.6个百分点。这一不平衡的前期意味着影流之镰可以从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，恶魔小丑以50.9%胜率——仅领先影流之镰 1.8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——影流之镰早期有优势，但恶魔小丑逐渐接管。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 恶魔小丑 Runes Against 影流之镰
巫术
精密
巫术主系配精密副系的组合帮助恶魔小丑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影流之镰。
英雄联盟26.10版本恶魔小丑对线数据。下表显示恶魔小丑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，包括恶魔小丑最佳出装、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 |
|---|---|---|---|---|---|---|---|
| 49.70% | 332 | 0.9 | 727 | 12,998 | 47.2% | 50.9% | |
| 50.49% | 309 | 0.9 | 735 | 12,758 | 50.0% | 50.8% | |
| 46.75% | 308 | 0.9 | 721 | 12,696 | 40.4% | 50.5% | |
| 56.83% | 271 | 0.8 | 706 | 13,159 | 53.9% | 58.3% | |
| 48.55% | 241 | 0.9 | 753 | 12,670 | 52.8% | 46.0% | |
| 50.43% | 234 | 0.9 | 685 | 11,950 | 49.0% | 51.5% | |
| 46.89% | 209 | 0.8 | 662 | 12,595 | 48.0% | 46.2% | |
| 52.71% | 203 | 0.8 | 663 | 11,554 | 50.5% | 54.8% | |
| 49.25% | 199 | 0.9 | 720 | 11,817 | 47.0% | 50.9% | |
| 48.21% | 195 | 0.8 | 740 | 12,792 | 45.3% | 49.6% | |
| 50.90% | 167 | 0.9 | 765 | 12,634 | 56.1% | 48.2% | |
| 47.26% | 146 | 0.9 | 712 | 13,090 | 46.0% | 47.9% | |
| 60.98% | 123 | 0.8 | 709 | 12,427 | 67.3% | 56.8% | |
| 52.89% | 121 | 1.4 | 678 | 9,866 | 50.0% | 54.9% | |
| 52.94% | 119 | 0.8 | 746 | 12,594 | 47.6% | 55.8% | |
| 50.00% | 106 | 0.9 | 720 | 13,152 | 46.3% | 52.3% | |
| 55.77% | 104 | 0.8 | 672 | 12,782 | 68.6% | 49.3% | |
| 56.86% | 102 | 0.8 | 739 | 13,192 | 65.5% | 53.4% | |
| 50.50% | 101 | 1.1 | 704 | 12,524 | 50.0% | 50.8% | |
| 46.00% | 100 | 0.9 | 747 | 12,189 | 43.6% | 47.5% | |
| 46.00% | 100 | 0.8 | 704 | 12,727 | 50.0% | 43.8% | |
| 49.49% | 99 | 0.9 | 614 | 12,047 | 50.0% | 49.1% | |
| 44.90% | 98 | 1.5 | 704 | 10,404 | 33.3% | 50.8% | |
| 47.92% | 96 | 0.8 | 705 | 11,859 | 44.4% | 50.0% | |
| 47.83% | 92 | 1.0 | 776 | 12,672 | 50.0% | 46.9% | |
| 52.22% | 90 | 1.1 | 752 | 12,891 | 41.4% | 57.4% | |
| 55.29% | 85 | 0.8 | 717 | 12,839 | 50.0% | 58.5% | |
| 50.00% | 84 | 0.9 | 800 | 14,077 | 56.0% | 47.5% | |
| 55.95% | 84 | 0.9 | 690 | 12,005 | 60.6% | 52.9% | |
| 55.56% | 81 | 0.8 | 676 | 12,398 | 57.6% | 54.2% | |
| 41.98% | 81 | 0.7 | 656 | 11,754 | 50.0% | 36.7% | |
| 53.16% | 79 | 0.9 | 793 | 13,221 | 50.0% | 54.5% | |
| 51.95% | 77 | 1.6 | 758 | 10,209 | 50.0% | 53.2% | |
| 49.35% | 77 | 1.4 | 735 | 10,169 | 48.3% | 50.0% | |
| 57.89% | 76 | 0.8 | 758 | 12,966 | 50.0% | 63.0% | |
| 55.26% | 76 | 1.3 | 735 | 9,983 | 36.0% | 64.7% | |
| 41.33% | 75 | 1.5 | 659 | 11,912 | 46.7% | 37.8% | |
| 40.85% | 71 | 1.5 | 832 | 11,477 | 47.6% | 38.0% | |
| 47.83% | 69 | 1.5 | 755 | 10,054 | 53.1% | 43.2% | |
| 58.33% | 60 | 1.0 | 732 | 13,523 | 72.7% | 50.0% | |
| 54.24% | 59 | 0.8 | 721 | 13,010 | 40.0% | 61.5% | |
| 43.86% | 57 | 0.9 | 668 | 11,147 | 50.0% | 38.7% | |
| 49.12% | 57 | 1.1 | 698 | 10,966 | 52.6% | 47.4% | |
| 56.14% | 57 | 0.8 | 703 | 12,559 | 56.0% | 56.3% | |
| 54.55% | 55 | 1.1 | 697 | 11,108 | 52.4% | 55.9% | |
| 54.72% | 53 | 1.2 | 705 | 9,294 | 57.9% | 52.9% | |
| 43.40% | 53 | 1.4 | 669 | 9,263 | 42.3% | 44.4% | |
| 53.85% | 52 | 1.1 | 795 | 11,904 | 69.6% | 41.4% | |
| 48.08% | 52 | 1.2 | 776 | 12,920 | 62.5% | 41.7% | |
| 46.15% | 52 | 1.0 | 716 | 12,245 | 55.0% | 40.6% | |
| 41.67% | 48 | 1.5 | 707 | 10,583 | 52.4% | 33.3% | |
| 52.08% | 48 | 0.8 | 659 | 14,091 | 64.3% | 47.1% | |
| 48.94% | 47 | 1.5 | 670 | 9,105 | 43.5% | 54.2% | |
| 50.00% | 44 | 2.1 | 811 | 11,799 | 28.6% | 60.0% | |
| 45.24% | 42 | 1.1 | 656 | 12,216 | 44.4% | 45.8% | |
| 51.22% | 41 | 1.4 | 741 | 10,531 | 45.5% | 53.3% | |
| 55.00% | 40 | 1.3 | 728 | 12,345 | 60.0% | 52.0% | |
| 42.50% | 40 | 0.9 | 761 | 12,939 | 38.5% | 44.4% | |
| 46.15% | 39 | 1.5 | 720 | 9,682 | 44.4% | 47.6% | |
| 43.59% | 39 | 1.4 | 743 | 9,615 | 50.0% | 36.8% | |
| 61.54% | 39 | 1.5 | 722 | 9,235 | 55.0% | 68.4% | |
| 53.85% | 39 | 0.9 | 749 | 12,681 | 41.2% | 63.6% | |
| 56.41% | 39 | 1.8 | 781 | 12,852 | 50.0% | 60.0% | |
| 50.00% | 38 | 1.5 | 601 | 9,200 | 52.6% | 47.4% | |
| 55.26% | 38 | 1.6 | 739 | 12,603 | 55.6% | 55.2% | |
| 44.12% | 34 | 1.9 | 672 | 10,683 | 53.9% | 38.1% | |
| 55.88% | 34 | 1.4 | 676 | 10,754 | 60.0% | 54.2% | |
| 54.55% | 33 | 1.5 | 661 | 11,498 | 38.5% | 65.0% | |
| 53.13% | 32 | 1.1 | 852 | 13,300 | 71.4% | 48.0% | |
| 38.71% | 31 | 1.7 | 781 | 11,064 | 44.4% | 36.4% | |
| 63.33% | 30 | 1.9 | 854 | 9,317 | 61.5% | 64.7% | |
| 46.67% | 30 | 0.9 | 765 | 13,093 | 54.5% | 42.1% | |
| 67.86% | 28 | 1.4 | 792 | 10,501 | 70.0% | 66.7% | |
| 50.00% | 28 | 1.6 | 878 | 11,857 | 38.5% | 60.0% | |
| 48.15% | 27 | 1.5 | 736 | 11,438 | 60.0% | 41.2% | |
| 44.44% | 27 | 1.8 | 879 | 12,138 | 44.4% | 44.4% | |
| 57.69% | 26 | 1.4 | 787 | 13,465 | 44.4% | 64.7% | |
| 29.17% | 24 | 0.8 | 775 | 14,107 | 100.0% | 19.1% | |
| 56.52% | 23 | 1.6 | 827 | 12,325 | 75.0% | 52.6% | |
| 65.22% | 23 | 1.7 | 646 | 9,550 | 75.0% | 60.0% | |
| 52.17% | 23 | 2.0 | 817 | 10,986 | 53.9% | 50.0% | |
| 52.38% | 21 | 1.4 | 716 | 12,816 | 62.5% | 46.1% | |
| 52.38% | 21 | 1.4 | 702 | 10,447 | 55.6% | 50.0% | |
| 10.00% | 20 | 1.4 | 756 | 10,547 | 9.1% | 11.1% | |
| 52.63% | 19 | 1.6 | 843 | 14,358 | 66.7% | 46.1% | |
| 52.63% | 19 | 1.1 | 684 | 11,791 | 50.0% | 54.5% | |
| 47.37% | 19 | 1.4 | 774 | 9,531 | 37.5% | 54.5% | |
| 61.11% | 18 | 1.3 | 745 | 9,250 | 66.7% | 58.3% | |
| 55.56% | 18 | 1.3 | 739 | 10,411 | 62.5% | 50.0% | |
| 41.18% | 17 | 0.7 | 704 | 13,149 | 66.7% | 27.3% | |
| 62.50% | 16 | 1.2 | 643 | 9,067 | 37.5% | 87.5% | |
| 56.25% | 16 | 1.2 | 662 | 8,486 | 50.0% | 66.7% | |
| 43.75% | 16 | 1.4 | 681 | 9,298 | 33.3% | 50.0% | |
| 28.57% | 14 | 2.3 | 633 | 9,876 | 33.3% | 25.0% | |
| 50.00% | 14 | 4.1 | 984 | 11,846 | 66.7% | 45.5% | |
| 38.46% | 13 | 2.7 | 678 | 10,142 | 44.4% | 25.0% | |
| 30.77% | 13 | 1.4 | 600 | 8,117 | 50.0% | 14.3% | |
| 46.15% | 13 | 3.9 | 798 | 11,252 | 40.0% | 50.0% | |
| 58.33% | 12 | 1.5 | 748 | 11,084 | 75.0% | 50.0% | |
| 25.00% | 12 | 4.3 | 700 | 9,380 | 25.0% | 25.0% | |
| 50.00% | 12 | 1.0 | 737 | 13,560 | 75.0% | 37.5% | |
| 36.36% | 11 | 1.2 | 682 | 12,970 | 0.0% | 44.4% | |
| 45.45% | 11 | 2.7 | 1,009 | 14,184 | 66.7% | 37.5% | |
| 33.33% | 9 | 0.9 | 629 | 12,685 | 33.3% | 33.3% | |
| 44.44% | 9 | 2.8 | 619 | 10,272 | 25.0% | 60.0% | |
| 44.44% | 9 | 1.4 | 720 | 9,722 | 75.0% | 20.0% | |
| 66.67% | 9 | 1.3 | 874 | 14,942 | 50.0% | 71.4% | |
| 44.44% | 9 | 2.1 | 736 | 11,718 | 50.0% | 40.0% | |
| 25.00% | 8 | 1.5 | 830 | 14,567 | 0.0% | 28.6% | |
| 62.50% | 8 | 5.2 | 920 | 8,698 | 33.3% | 80.0% | |
| 37.50% | 8 | 2.2 | 779 | 11,331 | 33.3% | 40.0% | |
| 28.57% | 7 | 5.1 | 829 | 8,507 | 33.3% | 25.0% | |
| 42.86% | 7 | 2.6 | 623 | 9,902 | 50.0% | 40.0% | |
| 42.86% | 7 | 0.7 | 741 | 11,203 | 33.3% | 50.0% | |
| 71.43% | 7 | 1.7 | 710 | 10,104 | 50.0% | 80.0% | |
| 66.67% | 6 | 1.2 | 664 | 9,536 | 100.0% | 50.0% | |
| 33.33% | 6 | 3.4 | 642 | 10,630 | 0.0% | 40.0% | |
| 66.67% | 6 | 2.6 | 792 | 13,830 | 50.0% | 75.0% | |
| 33.33% | 6 | 3.4 | 920 | 13,102 | 50.0% | 25.0% | |
| 50.00% | 6 | 1.5 | 644 | 8,401 | 50.0% | 50.0% | |
| 66.67% | 6 | 2.3 | 769 | 12,065 | 100.0% | 60.0% | |
| 60.00% | 5 | 3.1 | 656 | 11,254 | 100.0% | 50.0% | |
| 20.00% | 5 | 1.9 | 672 | 11,413 | 50.0% | 0.0% | |
| 60.00% | 5 | 2.1 | 731 | 10,575 | 0.0% | 75.0% | |
| 40.00% | 5 | 2.1 | 693 | 10,962 | 50.0% | 33.3% | |
| 20.00% | 5 | 6.0 | 742 | 9,591 | 33.3% | 0.0% | |
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恶魔小丑 vs 影流之镰 - 常见问题
在英雄联盟中，恶魔小丑对影流之镰表现如何？
影流之镰以50.3%的胜率赢得恶魔小丑 vs 影流之镰的对决，而恶魔小丑为49.7%，相差0.6个百分点。该数据基于26.10版本的332场近期排位赛。
在前期，恶魔小丑对影流之镰表现如何？
在前期，影流之镰对恶魔小丑占有优势，胜率为52.8%对47.2%。影流之镰玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，恶魔小丑对影流之镰表现如何？
在后期，恶魔小丑以50.9%对49.1%的胜率主导恶魔小丑 vs 影流之镰的对决。恶魔小丑在25分钟后的团战和目标争夺中成长更强。
谁赢得恶魔小丑 vs 影流之镰的对决？
影流之镰在英雄联盟26.10版本中以50.3%的胜率赢得对恶魔小丑的对决。0.6个百分点的优势意味着根据332场分析的比赛，影流之镰在这个线上对决中slightly占优。
对抗影流之镰的最佳恶魔小丑出装是什么？
对抗影流之镰的最佳恶魔小丑出装包括兰德里的折磨, 影焰, 残疫 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。
对抗影流之镰的最佳恶魔小丑符文是什么？
对抗影流之镰的最佳恶魔小丑符文使用巫术主系和精密副系。This rune setup achieves a 60.0% win rate in the 恶魔小丑 vs 影流之镰 matchup. 查看上方对决比较中的完整符文分析。
恶魔小丑克制影流之镰吗？
不，恶魔小丑对抗影流之镰时表现吃力，胜率仅为49.7%。影流之镰在这个对决中占优。恶魔小丑玩家应该专注于安全补刀，避免长时间换血以减少影流之镰的领先优势。
如何用恶魔小丑对战影流之镰？
当恶魔小丑对战影流之镰时，谨慎游戏并避开影流之镰的强势期。Focus on safe farming — you outscale 影流之镰 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。