不屈之枪对阵 血港鬼影
不屈之枪 vs 血港鬼影在LoL版本26.4中是a very close对线。血港鬼影以51.0%胜率(+2.0%)击败不屈之枪，基于102场比赛。不屈之枪 wins the early laning phase while 血港鬼影 scales better into the late game.下方您将找到不屈之枪 vs 血港鬼影对线的最佳不屈之枪出装、符文、对线统计和策略。
不屈之枪 Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how 不屈之枪 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.
血港鬼影(49.0%)Who Wins the 不屈之枪 vs 血港鬼影 Matchup?
不屈之枪对战血港鬼影对决摘要
不屈之枪对战血港鬼影在英雄联盟排位赛中是非常接近的对决。根据102场近期比赛的分析，血港鬼影以51.0%的胜率获胜，相比不屈之枪的49.0%，给予血港鬼影 2.0个百分点的优势。 游戏阶段动态在此起着关键作用：不屈之枪控制早期对线阶段，但血港鬼影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——不屈之枪需要在血港鬼影达到强势期之前压制优势，而血港鬼影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伤害输出方面，不屈之枪领先221 DMG/min——这一差异严重影响换血和小规模团战的结果。 虽然血港鬼影略占优势，但不屈之枪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，并利用血港鬼影的失误。 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。
不屈之枪对战血港鬼影对线阶段分析
不屈之枪在对线阶段对阵血港鬼影时更有优势，赢得5个关键统计类别中的4个。不屈之枪在补刀, 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 不屈之枪 Build Against 血港鬼影
铁板靴是对抗血港鬼影的最佳鞋子选择，提供不屈之枪在这场对决中最需要的移动速度和属性。 不屈之枪对抗血港鬼影表现最好的核心装备是星蚀, 焚天 和 黯影阔剑。这一组合给不屈之枪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5场比赛中达到80.0%胜率——远高于平均水平，使其成为对抗血港鬼影的最佳装备路径。 可能需要根据队伍阵容和游戏状态进行调整，但这套出装为不屈之枪对战血港鬼影对决提供了最强的基础。
Early Game vs Late Game
不屈之枪52.1%血港鬼影47.9%不屈之枪46.3%血港鬼影53.7%在早期对线阶段（前15分钟），不屈之枪有显著的52.1%胜率，超过血港鬼影 4.2个百分点。不屈之枪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。
血港鬼影在后期（25分钟以上）远远更强，拥有53.7%胜率——比不屈之枪高7.4点。长时间游戏强烈有利于血港鬼影，其技能组和成长使其成为团战和目标控制中的主导力量。
这场对决有戏剧性的力量转变：不屈之枪必须积极压制早期优势并在血港鬼影达到成长节点之前结束游戏。如果血港鬼影在不太落后的情况下度过对线阶段，对决将倾向于他们。龙和峡谷先锋控制至关重要——确保早期目标的队伍可以滚雪球或争取时间成长。
Best 不屈之枪 Runes Against 血港鬼影
精密
主宰
精密主系配主宰副系的组合帮助不屈之枪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血港鬼影。
英雄联盟26.4版本不屈之枪对线数据。下表显示不屈之枪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，包括不屈之枪最佳出装、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 |
|---|---|---|---|---|---|---|---|
| 47.46% | 237 | 2.1 | 678 | 10,922 | 41.8% | 51.5% | |
| 47.55% | 207 | 1.5 | 679 | 10,661 | 43.2% | 50.9% | |
| 48.91% | 184 | 1.5 | 654 | 10,127 | 44.3% | 52.4% | |
| 54.44% | 169 | 1.7 | 705 | 10,594 | 59.7% | 51.0% | |
| 41.77% | 159 | 1.6 | 701 | 11,185 | 43.9% | 40.2% | |
| 56.29% | 151 | 5.8 | 949 | 12,360 | 63.5% | 49.4% | |
| 49.65% | 141 | 1.7 | 686 | 10,311 | 47.8% | 51.4% | |
| 52.31% | 131 | 1.6 | 712 | 11,197 | 56.8% | 50.0% | |
| 49.59% | 123 | 5.6 | 974 | 12,083 | 44.6% | 53.7% | |
| 41.53% | 119 | 2.0 | 768 | 11,484 | 46.7% | 38.4% | |
| 44.74% | 114 | 1.5 | 629 | 10,023 | 59.3% | 31.7% | |
| 49.02% | 102 | 1.5 | 704 | 10,430 | 52.1% | 46.3% | |
| 48.00% | 101 | 1.5 | 619 | 10,424 | 51.1% | 45.3% | |
| 49.49% | 100 | 1.5 | 708 | 10,562 | 53.5% | 46.4% | |
| 50.52% | 97 | 1.5 | 635 | 10,156 | 51.1% | 50.0% | |
| 56.70% | 97 | 4.9 | 913 | 12,528 | 47.5% | 63.2% | |
| 55.21% | 96 | 3.6 | 758 | 11,665 | 61.4% | 50.0% | |
| 52.08% | 96 | 6.0 | 906 | 12,465 | 54.3% | 50.8% | |
| 59.14% | 93 | 1.5 | 653 | 10,059 | 69.2% | 46.3% | |
| 47.31% | 93 | 3.0 | 865 | 10,272 | 38.1% | 54.9% | |
| 47.31% | 93 | 4.7 | 856 | 11,242 | 50.0% | 45.3% | |
| 56.18% | 89 | 1.5 | 633 | 9,906 | 60.5% | 52.2% | |
| 44.05% | 85 | 1.6 | 688 | 9,811 | 52.0% | 32.4% | |
| 39.76% | 84 | 2.1 | 763 | 10,716 | 43.2% | 37.0% | |
| 52.38% | 84 | 5.4 | 825 | 11,358 | 47.7% | 57.5% | |
| 47.62% | 84 | 1.5 | 698 | 11,001 | 50.0% | 46.3% | |
| 46.99% | 83 | 3.9 | 915 | 12,012 | 58.3% | 38.3% | |
| 55.56% | 82 | 1.0 | 765 | 13,315 | 68.8% | 46.9% | |
| 54.43% | 80 | 5.6 | 980 | 11,900 | 59.5% | 50.0% | |
| 40.51% | 79 | 4.2 | 1,076 | 11,312 | 42.9% | 38.6% | |
| 59.49% | 79 | 5.5 | 895 | 12,033 | 61.4% | 57.1% | |
| 50.65% | 77 | 5.0 | 894 | 11,797 | 42.9% | 60.0% | |
| 50.68% | 73 | 1.6 | 630 | 10,168 | 48.6% | 52.8% | |
| 50.70% | 72 | 2.5 | 850 | 12,860 | 55.6% | 45.7% | |
| 40.58% | 71 | 2.0 | 690 | 10,796 | 48.6% | 32.4% | |
| 50.72% | 71 | 1.5 | 748 | 10,620 | 45.2% | 55.3% | |
| 47.06% | 70 | 1.6 | 766 | 10,763 | 58.3% | 34.4% | |
| 49.28% | 69 | 5.1 | 952 | 11,072 | 51.4% | 46.9% | |
| 45.16% | 62 | 2.5 | 688 | 10,960 | 40.0% | 48.6% | |
| 45.16% | 62 | 5.8 | 883 | 11,603 | 56.7% | 34.4% | |
| 31.67% | 62 | 1.7 | 714 | 10,361 | 36.7% | 26.7% | |
| 52.46% | 61 | 4.2 | 829 | 11,734 | 58.6% | 46.9% | |
| 36.07% | 61 | 4.1 | 720 | 10,964 | 20.7% | 50.0% | |
| 47.54% | 61 | 4.4 | 824 | 11,822 | 33.3% | 61.3% | |
| 44.07% | 60 | 5.9 | 810 | 11,916 | 37.0% | 50.0% | |
| 50.00% | 60 | 3.4 | 747 | 10,667 | 50.0% | 50.0% | |
| 40.68% | 59 | 4.8 | 939 | 11,650 | 33.3% | 45.7% | |
| 50.00% | 58 | 5.4 | 1,082 | 11,853 | 50.0% | 50.0% | |
| 50.88% | 58 | 3.3 | 826 | 12,939 | 39.1% | 58.8% | |
| 37.93% | 58 | 4.5 | 803 | 11,602 | 37.0% | 38.7% | |
| 55.17% | 58 | 2.6 | 736 | 11,742 | 62.5% | 50.0% | |
| 49.09% | 57 | 3.1 | 760 | 11,846 | 46.7% | 52.0% | |
| 57.89% | 57 | 5.0 | 847 | 11,018 | 53.1% | 64.0% | |
| 50.00% | 57 | 5.6 | 863 | 12,115 | 62.5% | 40.6% | |
| 45.45% | 55 | 4.0 | 799 | 11,510 | 42.3% | 48.3% | |
| 45.45% | 55 | 1.4 | 700 | 10,097 | 51.6% | 37.5% | |
| 50.00% | 54 | 1.2 | 739 | 12,787 | 37.5% | 60.0% | |
| 40.38% | 53 | 2.0 | 836 | 11,895 | 50.0% | 36.1% | |
| 46.15% | 52 | 1.4 | 652 | 10,530 | 36.4% | 53.3% | |
| 39.22% | 51 | 6.0 | 892 | 10,307 | 30.4% | 46.4% | |
| 50.98% | 51 | 5.7 | 846 | 11,535 | 48.1% | 54.2% | |
| 49.02% | 51 | 1.8 | 717 | 10,872 | 52.6% | 46.9% | |
| 53.06% | 51 | 5.4 | 888 | 10,885 | 45.8% | 60.0% | |
| 46.94% | 49 | 4.9 | 952 | 11,931 | 47.6% | 46.4% | |
| 62.50% | 48 | 3.7 | 982 | 12,352 | 36.8% | 79.3% | |
| 60.42% | 48 | 5.0 | 984 | 13,020 | 46.7% | 66.7% | |
| 52.08% | 48 | 5.6 | 886 | 11,976 | 36.8% | 62.1% | |
| 40.43% | 47 | 5.5 | 779 | 10,933 | 47.1% | 36.7% | |
| 39.13% | 46 | 5.0 | 836 | 12,264 | 40.0% | 38.5% | |
| 44.44% | 45 | 1.4 | 564 | 8,865 | 43.3% | 46.7% | |
| 39.53% | 43 | 1.2 | 688 | 12,054 | 25.0% | 45.2% | |
| 64.29% | 43 | 3.1 | 776 | 11,919 | 69.6% | 57.9% | |
| 52.38% | 42 | 5.9 | 960 | 11,669 | 42.1% | 60.9% | |
| 30.95% | 42 | 5.3 | 854 | 11,131 | 40.0% | 22.7% | |
| 57.14% | 42 | 1.3 | 711 | 12,003 | 40.0% | 66.7% | |
| 48.78% | 41 | 5.1 | 840 | 11,823 | 27.8% | 65.2% | |
| 52.50% | 40 | 1.3 | 739 | 13,780 | 58.3% | 50.0% | |
| 47.50% | 40 | 6.0 | 1,047 | 12,083 | 45.5% | 50.0% | |
| 48.72% | 39 | 1.6 | 685 | 10,022 | 45.0% | 52.6% | |
| 43.59% | 39 | 6.3 | 882 | 11,868 | 45.5% | 41.2% | |
| 44.74% | 38 | 1.6 | 806 | 12,144 | 50.0% | 38.9% | |
| 39.47% | 38 | 5.4 | 893 | 12,262 | 56.3% | 27.3% | |
| 47.22% | 36 | 2.0 | 762 | 10,901 | 46.7% | 47.6% | |
| 55.56% | 36 | 4.3 | 811 | 10,831 | 61.9% | 46.7% | |
| 42.86% | 36 | 1.1 | 768 | 12,147 | 52.6% | 31.3% | |
| 36.11% | 36 | 0.8 | 644 | 12,883 | 53.3% | 23.8% | |
| 52.94% | 35 | 3.4 | 854 | 12,606 | 35.7% | 65.0% | |
| 42.86% | 35 | 1.6 | 633 | 10,447 | 35.3% | 50.0% | |
| 52.94% | 35 | 2.8 | 796 | 12,413 | 56.3% | 50.0% | |
| 40.00% | 35 | 1.2 | 698 | 13,120 | 50.0% | 34.8% | |
| 70.97% | 31 | 1.5 | 873 | 13,865 | 91.7% | 57.9% | |
| 43.33% | 30 | 1.1 | 739 | 12,585 | 41.7% | 44.4% | |
| 50.00% | 30 | 3.8 | 836 | 10,459 | 43.8% | 57.1% | |
| 48.28% | 29 | 5.2 | 801 | 12,066 | 27.3% | 61.1% | |
| 58.62% | 29 | 5.4 | 689 | 9,868 | 65.0% | 44.4% | |
| 35.71% | 29 | 6.0 | 929 | 11,718 | 60.0% | 22.2% | |
| 39.29% | 28 | 5.3 | 736 | 12,476 | 22.2% | 47.4% | |
| 67.86% | 28 | 1.4 | 818 | 13,439 | 66.7% | 68.4% | |
| 51.85% | 27 | 4.6 | 826 | 11,525 | 52.9% | 50.0% | |
| 37.04% | 27 | 5.8 | 841 | 10,809 | 30.8% | 42.9% | |
| 50.00% | 27 | 3.2 | 728 | 11,139 | 50.0% | 50.0% | |
| 59.26% | 27 | 5.0 | 797 | 11,746 | 57.1% | 61.5% | |
| 50.00% | 26 | 5.8 | 955 | 10,630 | 66.7% | 35.7% | |
| 53.85% | 26 | 4.2 | 840 | 12,273 | 30.0% | 68.8% | |
| 38.46% | 26 | 2.1 | 741 | 11,488 | 25.0% | 50.0% | |
| 46.15% | 26 | 5.5 | 907 | 12,593 | 85.7% | 31.6% | |
| 57.69% | 26 | 5.1 | 1,010 | 12,681 | 44.4% | 64.7% | |
| 66.67% | 25 | 6.1 | 867 | 11,714 | 50.0% | 83.3% | |
| 50.00% | 24 | 1.5 | 726 | 9,839 | 66.7% | 33.3% | |
| 58.33% | 24 | 0.9 | 777 | 11,968 | 72.7% | 46.1% | |
| 52.17% | 23 | 1.4 | 683 | 9,975 | 66.7% | 42.9% | |
| 52.17% | 23 | 1.1 | 837 | 12,811 | 37.5% | 60.0% | |
| 43.48% | 23 | 4.9 | 901 | 11,003 | 36.4% | 50.0% | |
| 56.52% | 23 | 2.0 | 676 | 12,931 | 33.3% | 64.7% | |
| 54.55% | 22 | 3.6 | 904 | 12,119 | 50.0% | 58.3% | |
| 68.18% | 22 | 4.1 | 720 | 11,486 | 62.5% | 71.4% | |
| 63.64% | 22 | 1.4 | 686 | 11,692 | 53.9% | 77.8% | |
| 61.90% | 21 | 1.6 | 734 | 10,878 | 70.0% | 54.5% | |
| 47.62% | 21 | 1.5 | 803 | 13,503 | 37.5% | 53.9% | |
| 42.86% | 21 | 5.4 | 774 | 10,926 | 40.0% | 45.5% | |
| 50.00% | 20 | 5.8 | 886 | 12,224 | 44.4% | 54.5% | |
| 50.00% | 20 | 0.8 | 681 | 12,600 | 30.0% | 70.0% | |
| 45.00% | 20 | 5.5 | 1,089 | 12,540 | 42.9% | 46.1% | |
| 57.89% | 19 | 5.2 | 925 | 13,192 | 42.9% | 66.7% | |
| 57.89% | 19 | 5.4 | 850 | 11,719 | 44.4% | 70.0% | |
| 47.37% | 19 | 4.5 | 857 | 12,205 | 25.0% | 53.3% | |
| 47.37% | 19 | 3.5 | 801 | 11,970 | 37.5% | 54.5% | |
| 63.16% | 19 | 5.1 | 896 | 11,974 | 66.7% | 60.0% | |
| 66.67% | 18 | 1.8 | 836 | 11,536 | 66.7% | 66.7% | |
| 58.82% | 17 | 3.6 | 858 | 12,734 | 62.5% | 55.6% | |
| 52.94% | 17 | 1.2 | 720 | 12,966 | 75.0% | 46.1% | |
| 35.29% | 17 | 4.1 | 837 | 11,570 | 28.6% | 40.0% | |
| 52.94% | 17 | 5.4 | 945 | 10,961 | 40.0% | 71.4% | |
| 62.50% | 16 | 4.3 | 668 | 10,717 | 75.0% | 58.3% | |
| 43.75% | 16 | 4.9 | 922 | 11,712 | 16.7% | 60.0% | |
| 60.00% | 15 | 5.6 | 974 | 12,200 | 57.1% | 62.5% | |
| 33.33% | 15 | 4.8 | 709 | 10,656 | 37.5% | 28.6% | |
| 40.00% | 15 | 4.2 | 828 | 12,089 | 50.0% | 33.3% | |
| 42.86% | 15 | 0.8 | 688 | 12,198 | 28.6% | 57.1% | |
| 53.85% | 14 | 3.7 | 653 | 12,357 | 25.0% | 66.7% | |
| 42.86% | 14 | 1.4 | 646 | 11,313 | 0.0% | 54.5% | |
| 41.67% | 13 | 1.3 | 604 | 11,563 | 33.3% | 50.0% | |
| 72.73% | 11 | 5.6 | 861 | 12,756 | 60.0% | 83.3% | |
| 63.64% | 11 | 4.8 | 788 | 12,564 | 75.0% | 57.1% | |
| 60.00% | 10 | 1.4 | 694 | 12,157 | 50.0% | 66.7% | |
| 60.00% | 10 | 0.6 | 867 | 13,541 | 50.0% | 66.7% | |
| 10.00% | 10 | 3.3 | 758 | 10,367 | 0.0% | 16.7% | |
| 66.67% | 9 | 2.6 | 819 | 10,679 | 50.0% | 100.0% | |
| 75.00% | 8 | 5.1 | 913 | 13,937 | 100.0% | 66.7% | |
| 42.86% | 7 | 2.0 | 848 | 14,412 | 0.0% | 60.0% | |
| 71.43% | 7 | 4.7 | 783 | 11,782 | 75.0% | 66.7% | |
| 42.86% | 7 | 5.1 | 883 | 13,009 | 33.3% | 50.0% | |
| 66.67% | 6 | 4.0 | 832 | 12,055 | 66.7% | 66.7% | |
| 50.00% | 6 | 0.8 | 923 | 12,363 | 100.0% | 0.0% | |
| 33.33% | 6 | 2.3 | 679 | 10,133 | 33.3% | 33.3% | |
| 33.33% | 6 | 4.3 | 662 | 10,608 | 33.3% | 33.3% | |
| 33.33% | 6 | 0.9 | 932 | 12,884 | 33.3% | 33.3% | |
| 80.00% | 5 | 5.6 | 984 | 11,167 | 100.0% | 50.0% | |
| 60.00% | 5 | 3.4 | 854 | 12,460 | 100.0% | 50.0% | |
| 40.00% | 5 | 5.2 | 850 | 13,562 | 50.0% | 33.3% | |
不屈之枪 vs 血港鬼影 - 常见问题
在英雄联盟中，不屈之枪对血港鬼影表现如何？
血港鬼影以51.0%的胜率赢得不屈之枪 vs 血港鬼影的对决，而不屈之枪为49.0%，相差2.0个百分点。该数据基于26.4版本的102场近期排位赛。
在前期，不屈之枪对血港鬼影表现如何？
在前期，不屈之枪对血港鬼影占有优势，胜率为52.1%对47.9%。不屈之枪玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，不屈之枪对血港鬼影表现如何？
在后期，血港鬼影以53.7%对46.3%的胜率主导不屈之枪 vs 血港鬼影的对决。血港鬼影在25分钟后的团战和目标争夺中成长更强。
谁赢得不屈之枪 vs 血港鬼影的对决？
血港鬼影在英雄联盟26.4版本中以51.0%的胜率赢得对不屈之枪的对决。2.0个百分点的优势意味着根据102场分析的比赛，血港鬼影在这个线上对决中slightly占优。
对抗血港鬼影的最佳不屈之枪出装是什么？
对抗血港鬼影的最佳不屈之枪出装包括星蚀, 焚天, 黯影阔剑 with 铁板靴。This build achieves a 80.0% 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。
对抗血港鬼影的最佳不屈之枪符文是什么？
对抗血港鬼影的最佳不屈之枪符文使用精密主系和主宰副系。This rune setup achieves a 48.8% win rate in the 不屈之枪 vs 血港鬼影 matchup. 查看上方对决比较中的完整符文分析。
不屈之枪克制血港鬼影吗？
不，不屈之枪对抗血港鬼影时表现吃力，胜率仅为49.0%。血港鬼影在这个对决中占优。不屈之枪玩家应该专注于安全补刀，避免长时间换血以减少血港鬼影的领先优势。
如何用不屈之枪对战血港鬼影？
当不屈之枪对战血港鬼影时，谨慎游戏并避开血港鬼影的强势期。Look for jungle assistance and team-dependent plays since 血港鬼影 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。