
不屈之枪对阵 盲僧
不屈之枪 vs 盲僧在LoL版本26.14中是a decisive对线。不屈之枪以61.9%胜率(+23.8%)击败盲僧,基于21场比赛。不屈之枪 holds the advantage in both the early and late game.下方您将找到不屈之枪 vs 盲僧对线的最佳不屈之枪出装、符文、对线统计和策略。
不屈之枪对线分析
使用下拉菜单选择对手,查看不屈之枪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。
不屈之枪 vs 盲僧对线谁赢?

不屈之枪对战盲僧对决摘要
不屈之枪对战盲僧在英雄联盟排位赛中是决定性的对决。根据21场近期比赛的分析,不屈之枪以61.9%的胜率获胜,相比盲僧的38.1%,给予不屈之枪 23.8个百分点的优势。 不屈之枪在每个阶段都占据主导——从早期对线到后期团战。这种持续的优势使盲僧玩家难以找到有利窗口,因此依赖团队的策略和避免单挑至关重要。 最显著的统计差距在续航方面,盲僧领先436 HP/min——这一差异严重影响换血和小规模团战的结果。 不屈之枪玩家可以自信地选择对抗盲僧并从1级开始激进地游戏。尽早通过有利的换血建立线上统治权,并尽可能将盲僧从补刀中挤走。 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。
不屈之枪对战盲僧对线阶段分析
盲僧在对线阶段对阵不屈之枪时更有优势,赢得5个关键统计类别中的3个。盲僧在伤害, 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 盲僧
明朗之靴是对抗盲僧的最佳鞋子选择,提供不屈之枪在这场对决中最需要的移动速度和属性。 不屈之枪对抗盲僧表现最好的核心装备是星蚀, 焚天 和 黑色切割者。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。 这套出装在2场比赛中达到稳固的50.0%胜率,证明它是面对盲僧时可靠的装备路径。 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盲僧对决提供了最强的基础。
Early Game vs Late Game
不屈之枪以令人印象深刻的57.1%胜率主导前期(前15分钟)——领先盲僧 14.3个百分点。这一不平衡的前期意味着不屈之枪可以从1级开始决定线上节奏,控制换血、兵线状态和河道优先权。
不屈之枪在后期(25分钟以上)远远更强,拥有64.3%胜率——比盲僧高28.6点。长时间游戏强烈有利于不屈之枪,其技能组和成长使其成为团战和目标控制中的主导力量。
不屈之枪在游戏的每个阶段都保持优势,使这成为从对线到后期团战都一贯有利的对决。盲僧玩家应该寻找精彩操作、依赖团队的策略和抓人,而不是依赖成长来赢得这场对决。
Best 不屈之枪 Runes Against 盲僧
使用精密主系配主宰副系允许不屈之枪压制对盲僧的优势,放大使这场对决有利的优势。
英雄联盟26.14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 |
|---|---|---|---|---|---|---|---|
| 43.98% | 166 | 1.6 | 678 | 10,071 | 46.0% | 42.4% | |
| 53.80% | 158 | 1.9 | 698 | 11,012 | 41.2% | 59.8% | |
| 52.13% | 94 | 1.6 | 662 | 10,314 | 61.5% | 45.5% | |
| 48.86% | 88 | 1.6 | 692 | 10,322 | 42.9% | 52.8% | |
| 48.86% | 88 | 4.9 | 884 | 11,010 | 50.0% | 48.1% | |
| 49.40% | 83 | 1.6 | 703 | 10,237 | 51.7% | 48.1% | |
| 50.63% | 79 | 5.3 | 920 | 11,522 | 44.1% | 55.6% | |
| 61.04% | 77 | 1.7 | 676 | 10,521 | 48.0% | 67.3% | |
| 53.95% | 76 | 1.6 | 719 | 10,240 | 58.8% | 50.0% | |
| 40.79% | 76 | 1.6 | 695 | 10,671 | 39.3% | 41.7% | |
| 52.05% | 73 | 5.4 | 907 | 11,133 | 55.9% | 48.7% | |
| 49.30% | 71 | 4.7 | 947 | 10,069 | 50.0% | 48.8% | |
| 53.62% | 69 | 1.4 | 639 | 9,896 | 61.3% | 47.4% | |
| 32.84% | 67 | 2.8 | 930 | 11,186 | 20.0% | 38.3% | |
| 43.94% | 66 | 1.5 | 642 | 8,916 | 48.5% | 39.4% | |
| 44.26% | 61 | 5.4 | 1,025 | 12,546 | 52.2% | 39.5% | |
| 55.00% | 60 | 4.5 | 921 | 10,998 | 64.0% | 48.6% | |
| 44.07% | 59 | 4.3 | 730 | 9,585 | 42.3% | 45.5% | |
| 57.41% | 54 | 1.6 | 657 | 10,606 | 52.9% | 59.5% | |
| 50.00% | 52 | 2.1 | 887 | 12,372 | 50.0% | 50.0% | |
| 53.06% | 49 | 2.6 | 812 | 10,186 | 50.0% | 54.8% | |
| 56.25% | 48 | 4.3 | 791 | 10,600 | 57.9% | 55.2% | |
| 58.33% | 48 | 4.3 | 833 | 11,172 | 61.1% | 56.7% | |
| 57.45% | 47 | 4.5 | 851 | 10,855 | 52.9% | 60.0% | |
| 44.68% | 47 | 2.1 | 701 | 9,510 | 45.8% | 43.5% | |
| 59.09% | 44 | 3.9 | 929 | 12,424 | 45.0% | 70.8% | |
| 46.51% | 43 | 1.7 | 672 | 10,037 | 50.0% | 44.0% | |
| 30.23% | 43 | 1.5 | 591 | 8,124 | 29.2% | 31.6% | |
| 58.14% | 43 | 3.7 | 833 | 11,170 | 60.0% | 57.1% | |
| 60.47% | 43 | 2.4 | 701 | 9,980 | 61.1% | 60.0% | |
| 60.47% | 43 | 1.5 | 626 | 9,413 | 64.7% | 57.7% | |
| 61.90% | 42 | 4.9 | 1,159 | 12,414 | 53.3% | 66.7% | |
| 39.02% | 41 | 1.4 | 570 | 9,718 | 43.8% | 36.0% | |
| 43.90% | 41 | 1.8 | 589 | 8,573 | 44.4% | 43.5% | |
| 29.27% | 41 | 1.9 | 727 | 11,282 | 23.5% | 33.3% | |
| 56.10% | 41 | 4.7 | 995 | 12,379 | 69.2% | 50.0% | |
| 45.00% | 40 | 1.8 | 655 | 9,767 | 53.3% | 40.0% | |
| 47.37% | 38 | 5.8 | 881 | 11,059 | 33.3% | 56.5% | |
| 60.53% | 38 | 5.6 | 918 | 11,730 | 53.3% | 65.2% | |
| 44.44% | 36 | 5.5 | 880 | 11,147 | 63.6% | 36.0% | |
| 34.29% | 35 | 3.1 | 767 | 12,103 | 66.7% | 23.1% | |
| 45.71% | 35 | 2.9 | 914 | 11,460 | 46.7% | 45.0% | |
| 48.48% | 33 | 2.6 | 823 | 10,980 | 50.0% | 47.6% | |
| 54.55% | 33 | 5.0 | 911 | 11,905 | 54.5% | 54.5% | |
| 40.63% | 32 | 1.1 | 732 | 13,184 | 57.1% | 36.0% | |
| 37.50% | 32 | 1.1 | 784 | 12,455 | 25.0% | 45.0% | |
| 53.33% | 30 | 2.4 | 720 | 10,860 | 60.0% | 46.7% | |
| 43.33% | 30 | 4.9 | 901 | 9,955 | 30.8% | 52.9% | |
| 56.67% | 30 | 1.1 | 666 | 11,473 | 53.3% | 60.0% | |
| 58.62% | 29 | 1.6 | 721 | 10,275 | 62.5% | 53.9% | |
| 41.38% | 29 | 5.3 | 785 | 10,245 | 30.0% | 47.4% | |
| 39.29% | 28 | 5.5 | 866 | 10,437 | 54.5% | 29.4% | |
| 64.29% | 28 | 5.3 | 916 | 10,022 | 58.3% | 68.8% | |
| 57.14% | 28 | 6.0 | 847 | 10,706 | 50.0% | 64.3% | |
| 50.00% | 28 | 4.4 | 789 | 10,554 | 41.7% | 56.3% | |
| 44.44% | 27 | 1.0 | 690 | 11,956 | 30.0% | 52.9% | |
| 33.33% | 27 | 5.0 | 812 | 11,293 | 46.1% | 21.4% | |
| 53.85% | 26 | 1.9 | 720 | 9,562 | 70.0% | 43.8% | |
| 42.31% | 26 | 4.8 | 735 | 9,954 | 38.5% | 46.1% | |
| 46.15% | 26 | 5.3 | 1,174 | 11,165 | 45.5% | 46.7% | |
| 46.15% | 26 | 3.8 | 880 | 10,622 | 25.0% | 55.6% | |
| 56.00% | 25 | 5.0 | 900 | 11,580 | 50.0% | 61.5% | |
| 52.00% | 25 | 5.5 | 1,040 | 13,172 | 42.9% | 55.6% | |
| 32.00% | 25 | 1.4 | 580 | 8,173 | 41.7% | 23.1% | |
| 56.00% | 25 | 1.6 | 759 | 10,855 | 55.6% | 56.3% | |
| 45.83% | 24 | 1.2 | 687 | 13,339 | 33.3% | 50.0% | |
| 34.78% | 23 | 3.6 | 715 | 9,094 | 27.3% | 41.7% | |
| 69.57% | 23 | 1.5 | 713 | 9,694 | 84.6% | 50.0% | |
| 39.13% | 23 | 1.1 | 756 | 11,704 | 50.0% | 35.3% | |
| 47.83% | 23 | 4.5 | 831 | 12,123 | 50.0% | 47.4% | |
| 50.00% | 22 | 1.5 | 739 | 10,735 | 50.0% | 50.0% | |
| 59.09% | 22 | 5.5 | 879 | 10,907 | 61.5% | 55.6% | |
| 45.45% | 22 | 3.5 | 793 | 12,559 | 25.0% | 50.0% | |
| 22.73% | 22 | 2.4 | 651 | 9,143 | 16.7% | 30.0% | |
| 50.00% | 22 | 5.0 | 945 | 12,701 | 33.3% | 56.3% | |
| 50.00% | 22 | 5.3 | 912 | 10,571 | 55.6% | 46.1% | |
| 40.91% | 22 | 2.5 | 857 | 11,304 | 27.3% | 54.5% | |
| 33.33% | 21 | 2.4 | 720 | 10,133 | 22.2% | 41.7% | |
| 61.90% | 21 | 1.1 | 700 | 11,948 | 57.1% | 64.3% | |
| 47.62% | 21 | 5.0 | 911 | 11,264 | 50.0% | 46.1% | |
| 60.00% | 20 | 1.9 | 833 | 10,040 | 75.0% | 50.0% | |
| 55.00% | 20 | 3.5 | 885 | 10,018 | 63.6% | 44.4% | |
| 30.00% | 20 | 2.0 | 759 | 10,895 | 33.3% | 28.6% | |
| 65.00% | 20 | 2.0 | 655 | 10,570 | 57.1% | 69.2% | |
| 52.63% | 19 | 2.6 | 818 | 10,597 | 42.9% | 58.3% | |
| 36.84% | 19 | 3.0 | 834 | 10,476 | 44.4% | 30.0% | |
| 73.68% | 19 | 4.9 | 873 | 10,746 | 80.0% | 66.7% | |
| 50.00% | 18 | 5.9 | 882 | 11,469 | 57.1% | 45.5% | |
| 52.94% | 17 | 1.7 | 833 | 12,065 | 0.0% | 64.3% | |
| 41.18% | 17 | 4.4 | 867 | 12,060 | 50.0% | 36.4% | |
| 50.00% | 16 | 5.4 | 899 | 11,289 | 62.5% | 37.5% | |
| 56.25% | 16 | 5.0 | 791 | 11,361 | 71.4% | 44.4% | |
| 25.00% | 16 | 1.0 | 811 | 10,033 | 37.5% | 12.5% | |
| 50.00% | 16 | 4.1 | 927 | 10,247 | 57.1% | 44.4% | |
| 56.25% | 16 | 5.2 | 839 | 9,593 | 87.5% | 25.0% | |
| 56.25% | 16 | 2.8 | 841 | 14,895 | 0.0% | 56.3% | |
| 40.00% | 15 | 1.8 | 682 | 9,621 | 40.0% | 40.0% | |
| 26.67% | 15 | 5.5 | 1,152 | 12,215 | 40.0% | 20.0% | |
| 35.71% | 14 | 4.2 | 743 | 10,480 | 25.0% | 40.0% | |
| 42.86% | 14 | 5.3 | 903 | 11,191 | 33.3% | 50.0% | |
| 50.00% | 14 | 5.5 | 978 | 12,713 | 50.0% | 50.0% | |
| 46.15% | 13 | 1.5 | 807 | 14,587 | 33.3% | 50.0% | |
| 38.46% | 13 | 1.5 | 777 | 12,732 | 20.0% | 50.0% | |
| 53.85% | 13 | 4.5 | 836 | 12,396 | 40.0% | 62.5% | |
| 83.33% | 12 | 6.0 | 1,113 | 11,046 | 80.0% | 85.7% | |
| 50.00% | 12 | 1.3 | 793 | 13,432 | 75.0% | 37.5% | |
| 58.33% | 12 | 5.2 | 927 | 11,378 | 50.0% | 62.5% | |
| 75.00% | 12 | 1.1 | 666 | 10,586 | 100.0% | 57.1% | |
| 45.45% | 11 | 4.3 | 891 | 12,430 | 75.0% | 28.6% | |
| 63.64% | 11 | 1.3 | 745 | 11,718 | 33.3% | 75.0% | |
| 54.55% | 11 | 5.9 | 907 | 9,711 | 83.3% | 20.0% | |
| 54.55% | 11 | 6.0 | 1,226 | 12,934 | 75.0% | 42.9% | |
| 70.00% | 10 | 2.6 | 794 | 10,990 | 50.0% | 83.3% | |
| 30.00% | 10 | 3.0 | 997 | 10,805 | 50.0% | 16.7% | |
| 40.00% | 10 | 0.8 | 718 | 12,646 | 25.0% | 50.0% | |
| 60.00% | 10 | 3.1 | 629 | 9,851 | 75.0% | 50.0% | |
| 50.00% | 10 | 3.0 | 930 | 12,594 | 0.0% | 62.5% | |
| 50.00% | 10 | 0.9 | 630 | 11,676 | 50.0% | 50.0% | |
| 50.00% | 10 | 0.7 | 727 | 12,848 | 66.7% | 42.9% | |
| 80.00% | 10 | 1.0 | 825 | 11,667 | 100.0% | 66.7% | |
| 77.78% | 9 | 6.1 | 1,023 | 12,359 | 75.0% | 80.0% | |
| 44.44% | 9 | 2.1 | 829 | 12,283 | 33.3% | 50.0% | |
| 44.44% | 9 | 3.6 | 861 | 11,893 | 100.0% | 28.6% | |
| 37.50% | 8 | 3.7 | 741 | 9,446 | 50.0% | 25.0% | |
| 50.00% | 8 | 5.5 | 914 | 11,199 | 25.0% | 75.0% | |
| 37.50% | 8 | 4.1 | 814 | 9,906 | 66.7% | 20.0% | |
| 50.00% | 8 | 3.8 | 938 | 10,894 | 33.3% | 60.0% | |
| 85.71% | 7 | 5.0 | 1,200 | 11,858 | 75.0% | 100.0% | |
| 57.14% | 7 | 5.0 | 834 | 13,551 | 66.7% | 50.0% | |
| 71.43% | 7 | 5.1 | 836 | 10,167 | 50.0% | 80.0% | |
| 57.14% | 7 | 3.8 | 737 | 12,248 | 0.0% | 66.7% | |
| 57.14% | 7 | 3.3 | 694 | 10,427 | 75.0% | 33.3% | |
| 50.00% | 6 | 4.7 | 769 | 11,164 | 0.0% | 60.0% | |
| 50.00% | 6 | 5.5 | 1,204 | 15,073 | 0.0% | 50.0% | |
| 50.00% | 6 | 0.9 | 538 | 12,351 | 50.0% | 50.0% | |
| 33.33% | 6 | 4.3 | 922 | 13,405 | 0.0% | 33.3% | |
| 80.00% | 5 | 1.8 | 883 | 13,868 | 100.0% | 75.0% | |
| 80.00% | 5 | 3.3 | 992 | 14,270 | 66.7% | 100.0% | |
| 40.00% | 5 | 1.8 | 828 | 13,035 | 0.0% | 50.0% | |
| 60.00% | 5 | 1.6 | 749 | 9,336 | 50.0% | 66.7% | |
| 40.00% | 5 | 4.8 | 936 | 13,828 | 0.0% | 40.0% | |
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.
不屈之枪 vs 盲僧 - 常见问题
在英雄联盟中,不屈之枪对盲僧表现如何?
不屈之枪以61.9%的胜率赢得不屈之枪 vs 盲僧的对决,而盲僧为38.1%,相差23.8个百分点。该数据基于26.14版本的21场近期排位赛。
在前期,不屈之枪对盲僧表现如何?
在前期,不屈之枪对盲僧占有优势,胜率为57.1%对42.9%。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,不屈之枪对盲僧表现如何?
在后期,不屈之枪以64.3%对35.7%的胜率主导不屈之枪 vs 盲僧的对决。不屈之枪在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 盲僧的对决?
不屈之枪在英雄联盟26.14版本中以61.9%的胜率赢得对盲僧的对决。23.8个百分点的优势意味着根据21场分析的比赛,不屈之枪在这个线上对决中significantly占优。
对抗盲僧的最佳不屈之枪出装是什么?
对抗盲僧的最佳不屈之枪出装包括星蚀, 焚天, 黑色切割者 with 明朗之靴。This build achieves a 50.0% 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。
对抗盲僧的最佳不屈之枪符文是什么?
对抗盲僧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 75.0% win rate in the 不屈之枪 vs 盲僧 matchup. 查看上方对决比较中的完整符文分析。
不屈之枪克制盲僧吗?
是的,不屈之枪对盲僧有利,胜率为61.9%。根据当前26.14版本数据,不屈之枪在线上strongly counters盲僧。
如何用不屈之枪对战盲僧?
当不屈之枪对战盲僧时,利用你的统计优势在有利的窗口期积极换血。You have early game priority — look for kills and zone control before first recall. 使用该对决专用的推荐装备和符文以获得最佳效果。
