
Locke对阵 不羁之悦
Locke vs 不羁之悦在LoL版本26.13中是a decisive对线。不羁之悦以60.0%胜率(+20.0%)击败Locke,基于5场比赛。Locke wins the early laning phase while 不羁之悦 scales better into the late game.下方您将找到Locke vs 不羁之悦对线的最佳Locke出装、符文、对线统计和策略。
Locke对线分析
使用下拉菜单选择对手,查看Locke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。
Locke vs 不羁之悦对线谁赢?

Locke对战不羁之悦对决摘要
Locke对战不羁之悦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,不羁之悦以60.0%的胜率获胜,相比Locke的40.0%,给予不羁之悦 20.0个百分点的优势。 游戏阶段动态在此起着关键作用:Locke控制早期对线阶段,但不羁之悦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——Locke需要在不羁之悦达到强势期之前压制优势,而不羁之悦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,Locke领先0.3s CC/min——这一差异严重影响换血和小规模团战的结果。 不羁之悦在这场对决中有强大优势。Locke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不羁之悦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。
Locke对战不羁之悦对线阶段分析
Locke在对线阶段对阵不羁之悦时更有优势,赢得5个关键统计类别中的3个。Locke在伤害, 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 Locke Build Against 不羁之悦
装甲战靴是对抗不羁之悦的最佳鞋子选择,提供Locke在这场对决中最需要的移动速度和属性。 Locke对抗不羁之悦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Locke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,使其成为对抗不羁之悦的最佳装备路径。 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Locke对战不羁之悦对决提供了最强的基础。
Early Game vs Late Game
前期(前15分钟)是Locke和不羁之悦之间的抛硬币,Locke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。
不羁之悦在后期(25分钟以上)远远更强,拥有66.7%胜率——比Locke高33.3点。长时间游戏强烈有利于不羁之悦,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——Locke早期有优势,但不羁之悦逐渐接管。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 Locke Runes Against 不羁之悦
主宰和坚决符文设置给Locke在这场困难对决中与不羁之悦竞争的最佳工具,用最优符文协同来弥补统计劣势。
英雄联盟26.13版本Locke对线数据。下表显示Locke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Locke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 |
|---|---|---|---|---|---|---|---|
| 46.21% | 290 | 5.4 | 844 | 11,813 | 45.7% | 46.6% | |
| 40.43% | 282 | 4.6 | 877 | 11,542 | 36.8% | 44.2% | |
| 43.21% | 280 | 5.6 | 836 | 12,047 | 48.5% | 38.2% | |
| 49.28% | 276 | 5.3 | 846 | 11,584 | 51.6% | 47.3% | |
| 50.58% | 257 | 5.5 | 951 | 11,889 | 56.7% | 45.3% | |
| 45.50% | 222 | 5.5 | 834 | 12,758 | 50.6% | 42.7% | |
| 40.29% | 206 | 3.9 | 803 | 12,076 | 33.3% | 46.0% | |
| 40.39% | 203 | 5.0 | 822 | 11,966 | 47.4% | 36.2% | |
| 38.69% | 199 | 5.3 | 758 | 11,635 | 44.2% | 34.5% | |
| 40.11% | 187 | 4.9 | 772 | 11,755 | 45.5% | 36.4% | |
| 47.78% | 180 | 5.3 | 862 | 11,975 | 49.4% | 46.3% | |
| 46.51% | 172 | 5.3 | 904 | 12,458 | 50.6% | 43.2% | |
| 44.38% | 169 | 5.3 | 863 | 11,742 | 48.7% | 40.9% | |
| 43.79% | 169 | 5.7 | 861 | 12,103 | 37.5% | 48.5% | |
| 46.10% | 154 | 4.5 | 820 | 11,954 | 41.1% | 50.6% | |
| 45.45% | 154 | 4.6 | 875 | 12,100 | 49.3% | 42.0% | |
| 42.42% | 132 | 5.6 | 820 | 12,235 | 40.4% | 44.0% | |
| 50.38% | 131 | 5.4 | 802 | 11,700 | 47.5% | 52.9% | |
| 39.68% | 126 | 1.2 | 724 | 12,927 | 46.9% | 35.1% | |
| 47.58% | 124 | 5.7 | 865 | 12,274 | 51.9% | 44.3% | |
| 50.83% | 120 | 5.1 | 862 | 12,554 | 46.1% | 54.4% | |
| 41.03% | 117 | 5.5 | 855 | 11,171 | 42.3% | 39.1% | |
| 49.57% | 115 | 5.4 | 832 | 12,012 | 54.0% | 46.1% | |
| 43.86% | 114 | 5.5 | 978 | 12,014 | 43.6% | 44.1% | |
| 31.58% | 114 | 1.3 | 663 | 12,440 | 29.8% | 32.8% | |
| 37.27% | 110 | 1.0 | 641 | 11,995 | 38.5% | 36.2% | |
| 48.62% | 109 | 5.4 | 850 | 12,082 | 45.5% | 51.9% | |
| 37.50% | 104 | 5.5 | 896 | 12,225 | 37.3% | 37.7% | |
| 50.49% | 103 | 5.5 | 855 | 12,080 | 71.7% | 33.3% | |
| 35.00% | 100 | 1.1 | 684 | 12,478 | 37.1% | 33.9% | |
| 46.24% | 93 | 3.7 | 862 | 13,518 | 41.9% | 48.4% | |
| 44.83% | 87 | 1.1 | 685 | 11,918 | 47.7% | 41.9% | |
| 39.76% | 83 | 1.2 | 727 | 14,327 | 37.5% | 40.3% | |
| 48.15% | 81 | 5.5 | 841 | 12,093 | 63.6% | 37.5% | |
| 54.43% | 79 | 5.6 | 897 | 12,436 | 65.0% | 43.6% | |
| 46.75% | 77 | 5.7 | 894 | 12,554 | 42.3% | 49.0% | |
| 41.89% | 74 | 1.3 | 680 | 12,491 | 38.7% | 44.2% | |
| 41.10% | 73 | 4.5 | 897 | 12,748 | 52.0% | 35.4% | |
| 39.73% | 73 | 5.6 | 818 | 11,803 | 48.4% | 33.3% | |
| 31.94% | 72 | 2.4 | 781 | 13,152 | 30.8% | 32.6% | |
| 42.25% | 71 | 1.0 | 711 | 12,216 | 48.5% | 36.8% | |
| 50.70% | 71 | 5.1 | 857 | 11,531 | 50.0% | 51.5% | |
| 35.71% | 70 | 1.3 | 683 | 12,894 | 37.5% | 34.2% | |
| 42.86% | 70 | 2.7 | 703 | 12,103 | 32.4% | 54.5% | |
| 52.17% | 69 | 4.3 | 822 | 12,315 | 53.3% | 51.3% | |
| 44.93% | 69 | 5.5 | 847 | 11,508 | 45.5% | 44.4% | |
| 30.88% | 68 | 1.2 | 628 | 13,252 | 31.6% | 30.6% | |
| 41.79% | 67 | 1.8 | 724 | 13,205 | 46.4% | 38.5% | |
| 40.00% | 65 | 5.5 | 879 | 11,765 | 63.3% | 20.0% | |
| 42.19% | 64 | 4.7 | 702 | 11,560 | 51.9% | 35.1% | |
| 52.38% | 63 | 4.3 | 796 | 11,875 | 51.7% | 52.9% | |
| 33.33% | 63 | 1.4 | 641 | 11,963 | 44.8% | 23.5% | |
| 42.62% | 61 | 5.4 | 904 | 10,656 | 46.9% | 37.9% | |
| 48.15% | 54 | 4.3 | 823 | 11,218 | 40.7% | 55.6% | |
| 35.19% | 54 | 1.0 | 613 | 11,558 | 29.0% | 43.5% | |
| 42.31% | 52 | 4.8 | 869 | 12,104 | 35.7% | 50.0% | |
| 38.00% | 50 | 5.7 | 851 | 12,166 | 46.7% | 34.3% | |
| 32.65% | 49 | 3.0 | 774 | 12,105 | 30.0% | 34.5% | |
| 51.06% | 47 | 4.8 | 935 | 12,356 | 55.0% | 48.1% | |
| 39.13% | 46 | 4.8 | 808 | 11,584 | 47.1% | 34.5% | |
| 48.89% | 45 | 4.0 | 785 | 11,631 | 57.1% | 41.7% | |
| 56.82% | 44 | 5.7 | 881 | 11,660 | 58.3% | 55.0% | |
| 40.91% | 44 | 5.7 | 819 | 12,803 | 46.7% | 37.9% | |
| 41.86% | 43 | 5.3 | 668 | 10,899 | 50.0% | 33.3% | |
| 50.00% | 42 | 2.9 | 761 | 11,870 | 35.0% | 63.6% | |
| 46.34% | 41 | 5.1 | 895 | 12,096 | 57.9% | 36.4% | |
| 42.50% | 40 | 4.8 | 830 | 12,140 | 60.0% | 32.0% | |
| 25.64% | 39 | 4.6 | 1,007 | 12,584 | 33.3% | 22.2% | |
| 42.11% | 38 | 1.0 | 676 | 11,589 | 39.1% | 46.7% | |
| 39.47% | 38 | 2.1 | 741 | 12,629 | 28.6% | 45.8% | |
| 52.63% | 38 | 5.2 | 891 | 12,285 | 62.5% | 45.5% | |
| 42.11% | 38 | 1.1 | 645 | 12,759 | 53.9% | 36.0% | |
| 27.03% | 37 | 4.5 | 818 | 12,675 | 25.0% | 28.0% | |
| 51.43% | 35 | 5.4 | 778 | 12,354 | 50.0% | 52.2% | |
| 25.71% | 35 | 1.6 | 595 | 11,461 | 18.8% | 31.6% | |
| 34.29% | 35 | 1.2 | 704 | 11,590 | 29.4% | 38.9% | |
| 37.14% | 35 | 0.8 | 663 | 12,202 | 33.3% | 40.0% | |
| 28.57% | 35 | 0.9 | 634 | 11,315 | 38.9% | 17.6% | |
| 55.88% | 34 | 5.2 | 849 | 13,147 | 53.9% | 57.1% | |
| 48.48% | 33 | 3.9 | 820 | 14,132 | 33.3% | 51.9% | |
| 24.24% | 33 | 1.4 | 681 | 13,665 | 7.1% | 36.8% | |
| 34.38% | 32 | 5.1 | 987 | 12,804 | 44.4% | 30.4% | |
| 40.63% | 32 | 5.0 | 784 | 11,481 | 54.5% | 33.3% | |
| 41.94% | 31 | 6.0 | 950 | 12,513 | 75.0% | 21.1% | |
| 45.16% | 31 | 5.4 | 960 | 12,688 | 53.3% | 37.5% | |
| 40.00% | 30 | 4.4 | 844 | 12,564 | 38.5% | 41.2% | |
| 48.28% | 29 | 1.3 | 744 | 12,564 | 57.1% | 40.0% | |
| 58.62% | 29 | 5.1 | 816 | 11,512 | 50.0% | 66.7% | |
| 62.07% | 29 | 5.7 | 893 | 12,834 | 61.5% | 62.5% | |
| 39.29% | 28 | 1.8 | 823 | 12,090 | 50.0% | 33.3% | |
| 44.44% | 27 | 5.2 | 782 | 11,930 | 28.6% | 61.5% | |
| 50.00% | 26 | 1.4 | 731 | 11,575 | 50.0% | 50.0% | |
| 46.15% | 26 | 0.9 | 740 | 13,138 | 35.7% | 58.3% | |
| 36.00% | 25 | 0.9 | 644 | 12,198 | 36.4% | 35.7% | |
| 40.00% | 25 | 4.8 | 907 | 11,684 | 63.6% | 21.4% | |
| 32.00% | 25 | 4.5 | 791 | 11,869 | 20.0% | 40.0% | |
| 56.00% | 25 | 4.5 | 898 | 12,307 | 55.6% | 56.3% | |
| 40.00% | 25 | 5.8 | 712 | 10,625 | 33.3% | 46.1% | |
| 48.00% | 25 | 5.1 | 792 | 12,334 | 46.1% | 50.0% | |
| 52.00% | 25 | 4.7 | 722 | 11,870 | 45.5% | 57.1% | |
| 48.00% | 25 | 3.5 | 777 | 12,000 | 44.4% | 50.0% | |
| 40.00% | 25 | 1.0 | 746 | 12,855 | 46.1% | 33.3% | |
| 37.50% | 24 | 3.7 | 727 | 11,857 | 30.0% | 42.9% | |
| 41.67% | 24 | 2.7 | 674 | 10,635 | 27.3% | 53.9% | |
| 45.45% | 22 | 3.1 | 673 | 11,088 | 41.7% | 50.0% | |
| 47.62% | 21 | 5.8 | 883 | 11,075 | 50.0% | 44.4% | |
| 33.33% | 21 | 5.2 | 593 | 9,323 | 27.3% | 40.0% | |
| 33.33% | 21 | 4.5 | 785 | 11,510 | 22.2% | 41.7% | |
| 35.00% | 20 | 2.5 | 730 | 10,080 | 46.1% | 14.3% | |
| 35.00% | 20 | 5.5 | 730 | 11,586 | 33.3% | 36.4% | |
| 50.00% | 20 | 4.1 | 762 | 10,373 | 55.6% | 45.5% | |
| 63.16% | 19 | 5.7 | 857 | 13,214 | 50.0% | 72.7% | |
| 47.37% | 19 | 4.9 | 878 | 10,292 | 46.1% | 50.0% | |
| 36.84% | 19 | 5.7 | 715 | 9,804 | 40.0% | 33.3% | |
| 42.11% | 19 | 5.2 | 887 | 11,851 | 40.0% | 44.4% | |
| 55.56% | 18 | 1.8 | 693 | 12,906 | 50.0% | 57.1% | |
| 55.56% | 18 | 5.5 | 674 | 10,669 | 60.0% | 50.0% | |
| 58.82% | 17 | 5.2 | 930 | 14,524 | 87.5% | 33.3% | |
| 41.18% | 17 | 5.4 | 740 | 13,896 | 42.9% | 40.0% | |
| 31.25% | 16 | 4.9 | 995 | 14,377 | 20.0% | 36.4% | |
| 37.50% | 16 | 5.5 | 934 | 13,421 | 25.0% | 50.0% | |
| 26.67% | 15 | 5.5 | 782 | 11,773 | 22.2% | 33.3% | |
| 20.00% | 15 | 5.6 | 852 | 10,987 | 12.5% | 28.6% | |
| 40.00% | 15 | 2.3 | 552 | 11,709 | 33.3% | 44.4% | |
| 33.33% | 15 | 2.5 | 657 | 11,368 | 14.3% | 50.0% | |
| 26.67% | 15 | 2.3 | 569 | 8,446 | 25.0% | 28.6% | |
| 40.00% | 15 | 1.9 | 788 | 10,761 | 40.0% | 40.0% | |
| 20.00% | 15 | 1.4 | 678 | 12,495 | 16.7% | 22.2% | |
| 53.85% | 13 | 3.0 | 764 | 12,598 | 75.0% | 44.4% | |
| 53.85% | 13 | 5.3 | 731 | 11,481 | 33.3% | 71.4% | |
| 61.54% | 13 | 5.8 | 811 | 11,558 | 57.1% | 66.7% | |
| 61.54% | 13 | 5.0 | 795 | 12,687 | 75.0% | 55.6% | |
| 50.00% | 12 | 5.5 | 656 | 10,322 | 57.1% | 40.0% | |
| 33.33% | 12 | 4.8 | 681 | 10,892 | 33.3% | 33.3% | |
| 66.67% | 12 | 0.8 | 584 | 11,523 | 66.7% | 66.7% | |
| 36.36% | 11 | 1.3 | 750 | 13,082 | 25.0% | 42.9% | |
| 50.00% | 10 | 2.3 | 828 | 14,944 | 0.0% | 62.5% | |
| 30.00% | 10 | 5.7 | 805 | 12,947 | 25.0% | 33.3% | |
| 20.00% | 10 | 5.0 | 971 | 12,463 | 0.0% | 28.6% | |
| 30.00% | 10 | 5.0 | 697 | 10,685 | 25.0% | 33.3% | |
| 55.56% | 9 | 1.2 | 932 | 15,810 | 100.0% | 50.0% | |
| 33.33% | 9 | 4.9 | 822 | 12,012 | 0.0% | 50.0% | |
| 22.22% | 9 | 5.2 | 791 | 10,595 | 14.3% | 50.0% | |
| 66.67% | 9 | 5.1 | 739 | 11,498 | 66.7% | 66.7% | |
| 50.00% | 8 | 2.6 | 669 | 8,995 | 66.7% | 0.0% | |
| 50.00% | 8 | 4.0 | 714 | 13,097 | 100.0% | 42.9% | |
| 37.50% | 8 | 5.3 | 923 | 12,860 | 60.0% | 0.0% | |
| 28.57% | 7 | 5.0 | 792 | 11,966 | 0.0% | 50.0% | |
| 71.43% | 7 | 5.5 | 862 | 10,498 | 66.7% | 100.0% | |
| 28.57% | 7 | 5.0 | 683 | 11,036 | 50.0% | 20.0% | |
| 28.57% | 7 | 5.7 | 977 | 13,781 | 33.3% | 25.0% | |
| 71.43% | 7 | 1.2 | 548 | 11,278 | 100.0% | 33.3% | |
| 42.86% | 7 | 4.5 | 797 | 10,974 | 66.7% | 25.0% | |
| 14.29% | 7 | 2.7 | 786 | 13,254 | 0.0% | 20.0% | |
| 50.00% | 6 | 3.0 | 1,022 | 12,408 | 100.0% | 25.0% | |
| 40.00% | 5 | 5.0 | 906 | 13,038 | 50.0% | 33.3% | |
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.
Locke vs 不羁之悦 - 常见问题
在英雄联盟中,Locke对不羁之悦表现如何?
不羁之悦以60.0%的胜率赢得Locke vs 不羁之悦的对决,而Locke为40.0%,相差20.0个百分点。该数据基于26.13版本的5场近期排位赛。
在前期,Locke对不羁之悦表现如何?
在前期,Locke对不羁之悦占有优势,胜率为50.0%对50.0%。Locke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,Locke对不羁之悦表现如何?
在后期,不羁之悦以66.7%对33.3%的胜率主导Locke vs 不羁之悦的对决。不羁之悦在25分钟后的团战和目标争夺中成长更强。
谁赢得Locke vs 不羁之悦的对决?
不羁之悦在英雄联盟26.13版本中以60.0%的胜率赢得对Locke的对决。20.0个百分点的优势意味着根据5场分析的比赛,不羁之悦在这个线上对决中significantly占优。
对抗不羁之悦的最佳Locke出装是什么?
对抗不羁之悦的最佳Locke出装包括影焰, 中娅沙漏, 巫妖之祸 with 装甲战靴。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。
对抗不羁之悦的最佳Locke符文是什么?
对抗不羁之悦的最佳Locke符文使用主宰主系和坚决副系。This rune setup achieves a 50.0% win rate in the Locke vs 不羁之悦 matchup. 查看上方对决比较中的完整符文分析。
Locke克制不羁之悦吗?
不,Locke对抗不羁之悦时表现吃力,胜率仅为40.0%。不羁之悦在这个对决中占优。Locke玩家应该专注于安全补刀,避免长时间换血以减少不羁之悦的领先优势。
如何用Locke对战不羁之悦?
当Locke对战不羁之悦时,谨慎游戏并避开不羁之悦的强势期。Look for jungle assistance and team-dependent plays since 不羁之悦 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。
