
远古巫灵对阵 殇之木乃伊
远古巫灵 vs 殇之木乃伊在LoL版本26.10中是a decisive对线。远古巫灵以62.5%胜率(+25.0%)击败殇之木乃伊,基于8场比赛。远古巫灵 holds the advantage in both the early and late game.下方您将找到远古巫灵 vs 殇之木乃伊对线的最佳远古巫灵出装、符文、对线统计和策略。
远古巫灵 Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how 远古巫灵 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.
Who Wins the 远古巫灵 vs 殇之木乃伊 Matchup?

远古巫灵对战殇之木乃伊对决摘要
远古巫灵对战殇之木乃伊在英雄联盟排位赛中是决定性的对决。根据8场近期比赛的分析,远古巫灵以62.5%的胜率获胜,相比殇之木乃伊的37.5%,给予远古巫灵 25.0个百分点的优势。 远古巫灵在每个阶段都占据主导——从早期对线到后期团战。这种持续的优势使殇之木乃伊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,殇之木乃伊领先888 HP/min——这一差异严重影响换血和小规模团战的结果。 远古巫灵玩家可以自信地选择对抗殇之木乃伊并从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,并尽可能将殇之木乃伊从补刀中挤走。 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。
远古巫灵对战殇之木乃伊对线阶段分析
远古巫灵在对线阶段对阵殇之木乃伊时更有优势,赢得5个关键统计类别中的3个。远古巫灵在补刀, 伤害 和 金币收入方面有优势,使其成为这场对决中更强的对线者。
Best 远古巫灵 Build Against 殇之木乃伊
法师之靴是对抗殇之木乃伊的最佳鞋子选择,提供远古巫灵在这场对决中最需要的移动速度和属性。 远古巫灵对抗殇之木乃伊表现最好的核心装备是卢登的回声, 影焰 和 视界专注。这一组合给远古巫灵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,使其成为对抗殇之木乃伊的最佳装备路径。 可能需要根据队伍阵容和游戏状态进行调整,但这套出装为远古巫灵对战殇之木乃伊对决提供了最强的基础。
Early Game vs Late Game
前期(前15分钟)是远古巫灵和殇之木乃伊之间的抛硬币,远古巫灵以微弱的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。
远古巫灵在后期(25分钟以上)远远更强,拥有66.7%胜率——比殇之木乃伊高33.3点。长时间游戏强烈有利于远古巫灵,其技能组和成长使其成为团战和目标控制中的主导力量。
远古巫灵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。殇之木乃伊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 远古巫灵 Runes Against 殇之木乃伊
使用启迪主系配巫术副系允许远古巫灵压制对殇之木乃伊的优势,放大使这场对决有利的优势。
英雄联盟26.10版本远古巫灵对线数据。下表显示远古巫灵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,包括远古巫灵最佳出装、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 |
|---|---|---|---|---|---|---|---|
| 52.68% | 448 | 4.0 | 904 | 11,058 | 48.6% | 55.4% | |
| 50.76% | 327 | 6.6 | 987 | 11,534 | 53.4% | 48.6% | |
| 49.17% | 303 | 6.3 | 1,004 | 11,446 | 47.7% | 50.3% | |
| 49.61% | 258 | 2.4 | 844 | 10,620 | 45.9% | 51.9% | |
| 51.20% | 250 | 6.3 | 1,080 | 11,454 | 49.5% | 52.5% | |
| 53.56% | 239 | 6.6 | 996 | 11,341 | 48.5% | 57.3% | |
| 48.28% | 232 | 6.0 | 946 | 11,511 | 46.0% | 50.0% | |
| 55.07% | 227 | 3.9 | 948 | 11,534 | 59.0% | 53.0% | |
| 48.42% | 190 | 5.8 | 942 | 11,767 | 48.5% | 48.4% | |
| 51.32% | 189 | 2.7 | 881 | 10,279 | 46.8% | 54.5% | |
| 60.11% | 183 | 5.2 | 1,030 | 12,476 | 60.3% | 60.0% | |
| 51.67% | 180 | 6.0 | 979 | 11,643 | 38.1% | 59.0% | |
| 45.56% | 169 | 2.2 | 886 | 10,312 | 57.4% | 37.6% | |
| 43.64% | 165 | 6.2 | 968 | 12,068 | 39.7% | 46.4% | |
| 42.94% | 163 | 6.1 | 1,039 | 11,758 | 35.8% | 47.9% | |
| 45.91% | 159 | 2.0 | 805 | 10,113 | 49.1% | 44.0% | |
| 47.30% | 148 | 6.0 | 964 | 12,001 | 47.1% | 47.4% | |
| 45.07% | 142 | 2.0 | 809 | 9,983 | 49.3% | 41.3% | |
| 47.89% | 142 | 6.5 | 1,105 | 13,158 | 59.2% | 41.9% | |
| 49.65% | 141 | 5.9 | 869 | 11,005 | 48.3% | 50.6% | |
| 45.32% | 139 | 2.0 | 789 | 10,113 | 47.1% | 43.7% | |
| 58.96% | 134 | 6.3 | 1,083 | 12,970 | 47.6% | 64.1% | |
| 57.14% | 126 | 3.6 | 898 | 11,497 | 64.4% | 53.1% | |
| 43.70% | 119 | 6.3 | 1,002 | 11,410 | 35.7% | 50.8% | |
| 50.43% | 117 | 5.7 | 1,038 | 12,328 | 40.5% | 56.0% | |
| 42.98% | 114 | 6.4 | 1,052 | 11,020 | 34.5% | 50.9% | |
| 46.90% | 113 | 5.9 | 935 | 11,239 | 45.8% | 47.7% | |
| 52.34% | 107 | 6.3 | 1,044 | 12,162 | 60.0% | 48.6% | |
| 59.62% | 104 | 6.5 | 1,060 | 11,792 | 59.6% | 59.6% | |
| 48.04% | 102 | 2.0 | 856 | 10,985 | 56.3% | 44.3% | |
| 48.51% | 101 | 6.1 | 944 | 11,353 | 41.9% | 53.5% | |
| 42.57% | 101 | 3.6 | 943 | 10,696 | 52.4% | 35.6% | |
| 52.58% | 97 | 6.0 | 1,029 | 12,483 | 56.4% | 50.0% | |
| 48.45% | 97 | 2.0 | 790 | 10,422 | 48.7% | 48.3% | |
| 51.06% | 94 | 6.2 | 1,104 | 12,009 | 45.2% | 54.0% | |
| 54.26% | 94 | 5.8 | 954 | 11,771 | 53.1% | 54.8% | |
| 50.00% | 94 | 6.5 | 980 | 11,727 | 58.5% | 43.4% | |
| 48.91% | 92 | 2.0 | 875 | 10,260 | 54.3% | 45.6% | |
| 58.24% | 91 | 6.3 | 1,071 | 12,073 | 55.9% | 59.6% | |
| 48.31% | 89 | 2.2 | 737 | 9,491 | 52.4% | 44.7% | |
| 44.71% | 85 | 5.9 | 902 | 11,532 | 41.4% | 46.4% | |
| 49.41% | 85 | 2.2 | 894 | 10,806 | 63.0% | 43.1% | |
| 45.24% | 84 | 2.8 | 847 | 10,752 | 39.4% | 49.0% | |
| 60.24% | 83 | 6.3 | 1,134 | 13,673 | 64.5% | 57.7% | |
| 52.44% | 82 | 2.0 | 812 | 10,352 | 75.0% | 38.0% | |
| 44.44% | 81 | 2.0 | 920 | 10,435 | 46.7% | 43.1% | |
| 52.50% | 80 | 6.3 | 1,183 | 12,793 | 60.7% | 48.1% | |
| 52.56% | 78 | 6.6 | 1,081 | 11,983 | 58.3% | 47.6% | |
| 55.84% | 77 | 3.5 | 937 | 10,276 | 68.6% | 45.2% | |
| 42.67% | 75 | 6.2 | 902 | 11,486 | 40.6% | 44.2% | |
| 35.14% | 74 | 1.9 | 660 | 9,662 | 37.5% | 33.3% | |
| 44.12% | 68 | 5.8 | 992 | 13,202 | 51.6% | 37.8% | |
| 51.52% | 66 | 2.1 | 826 | 10,067 | 60.6% | 42.4% | |
| 56.92% | 65 | 6.3 | 959 | 11,136 | 57.1% | 56.8% | |
| 41.94% | 62 | 6.4 | 1,061 | 11,287 | 42.4% | 41.4% | |
| 52.46% | 61 | 6.3 | 875 | 11,323 | 46.7% | 58.1% | |
| 46.67% | 60 | 2.4 | 900 | 10,558 | 45.0% | 47.5% | |
| 56.36% | 55 | 6.6 | 1,021 | 11,360 | 59.3% | 53.6% | |
| 53.70% | 54 | 6.2 | 1,094 | 13,008 | 50.0% | 55.6% | |
| 44.44% | 54 | 6.2 | 919 | 11,984 | 52.6% | 40.0% | |
| 44.44% | 54 | 1.9 | 892 | 10,426 | 50.0% | 41.7% | |
| 55.56% | 54 | 2.0 | 908 | 11,025 | 56.3% | 55.3% | |
| 51.92% | 52 | 6.2 | 1,136 | 13,594 | 55.0% | 50.0% | |
| 50.98% | 51 | 6.6 | 1,030 | 12,703 | 63.2% | 43.8% | |
| 54.00% | 50 | 2.9 | 876 | 10,300 | 65.2% | 44.4% | |
| 68.00% | 50 | 6.8 | 1,139 | 12,737 | 77.3% | 60.7% | |
| 61.22% | 49 | 2.5 | 855 | 9,815 | 64.0% | 58.3% | |
| 48.98% | 49 | 4.8 | 979 | 12,271 | 61.9% | 39.3% | |
| 50.00% | 44 | 5.4 | 928 | 10,654 | 50.0% | 50.0% | |
| 56.82% | 44 | 6.3 | 997 | 10,776 | 66.7% | 47.8% | |
| 53.49% | 43 | 2.4 | 883 | 10,567 | 43.8% | 59.3% | |
| 51.28% | 39 | 5.6 | 1,083 | 12,151 | 33.3% | 62.5% | |
| 51.35% | 37 | 2.1 | 822 | 11,277 | 53.3% | 50.0% | |
| 63.89% | 36 | 2.3 | 878 | 9,238 | 83.3% | 44.4% | |
| 52.78% | 36 | 6.5 | 1,053 | 11,960 | 58.8% | 47.4% | |
| 55.88% | 34 | 6.3 | 1,138 | 12,938 | 52.9% | 58.8% | |
| 47.06% | 34 | 4.8 | 1,025 | 11,437 | 53.3% | 42.1% | |
| 51.52% | 33 | 2.5 | 814 | 10,527 | 43.8% | 58.8% | |
| 46.88% | 32 | 2.1 | 834 | 10,385 | 64.3% | 33.3% | |
| 56.25% | 32 | 5.4 | 1,043 | 13,510 | 63.6% | 52.4% | |
| 61.29% | 31 | 5.7 | 1,201 | 11,856 | 45.5% | 70.0% | |
| 54.84% | 31 | 5.5 | 972 | 11,720 | 56.3% | 53.3% | |
| 46.67% | 30 | 6.5 | 1,003 | 13,317 | 40.0% | 50.0% | |
| 50.00% | 28 | 6.7 | 1,070 | 12,285 | 75.0% | 31.3% | |
| 33.33% | 27 | 6.5 | 990 | 10,639 | 38.5% | 28.6% | |
| 77.78% | 27 | 6.9 | 1,143 | 14,011 | 70.0% | 82.3% | |
| 55.56% | 27 | 2.0 | 793 | 11,291 | 50.0% | 58.8% | |
| 48.15% | 27 | 6.4 | 1,024 | 13,059 | 40.0% | 52.9% | |
| 54.17% | 24 | 6.1 | 1,017 | 13,338 | 50.0% | 55.6% | |
| 54.17% | 24 | 6.3 | 898 | 10,537 | 50.0% | 58.3% | |
| 34.78% | 23 | 1.9 | 846 | 9,666 | 38.5% | 30.0% | |
| 52.63% | 19 | 5.6 | 929 | 12,044 | 57.1% | 50.0% | |
| 44.44% | 18 | 2.1 | 740 | 9,950 | 66.7% | 33.3% | |
| 50.00% | 18 | 6.7 | 1,006 | 12,413 | 37.5% | 60.0% | |
| 52.94% | 17 | 5.3 | 1,000 | 13,207 | 40.0% | 58.3% | |
| 64.71% | 17 | 3.5 | 1,014 | 10,839 | 62.5% | 66.7% | |
| 52.94% | 17 | 6.8 | 855 | 9,076 | 46.1% | 75.0% | |
| 56.25% | 16 | 6.5 | 1,024 | 13,301 | 75.0% | 50.0% | |
| 43.75% | 16 | 6.2 | 857 | 10,402 | 50.0% | 37.5% | |
| 20.00% | 15 | 6.5 | 954 | 10,903 | 20.0% | 20.0% | |
| 66.67% | 15 | 1.7 | 860 | 9,007 | 42.9% | 87.5% | |
| 46.67% | 15 | 6.3 | 1,045 | 10,428 | 57.1% | 37.5% | |
| 64.29% | 14 | 5.5 | 982 | 12,011 | 57.1% | 71.4% | |
| 57.14% | 14 | 6.9 | 1,001 | 11,640 | 33.3% | 75.0% | |
| 71.43% | 14 | 6.4 | 1,106 | 10,940 | 57.1% | 85.7% | |
| 61.54% | 13 | 7.0 | 1,074 | 14,461 | 40.0% | 75.0% | |
| 53.85% | 13 | 6.2 | 1,123 | 11,934 | 25.0% | 66.7% | |
| 30.77% | 13 | 4.8 | 843 | 9,819 | 40.0% | 25.0% | |
| 53.85% | 13 | 5.9 | 953 | 11,768 | 60.0% | 50.0% | |
| 25.00% | 12 | 6.1 | 1,036 | 12,491 | 0.0% | 33.3% | |
| 66.67% | 12 | 2.2 | 855 | 9,231 | 57.1% | 80.0% | |
| 63.64% | 11 | 6.6 | 1,176 | 14,741 | 75.0% | 57.1% | |
| 63.64% | 11 | 6.7 | 1,108 | 14,255 | 80.0% | 50.0% | |
| 30.00% | 10 | 6.6 | 1,023 | 11,473 | 0.0% | 42.9% | |
| 30.00% | 10 | 5.8 | 911 | 9,967 | 16.7% | 50.0% | |
| 60.00% | 10 | 6.5 | 1,233 | 14,890 | 66.7% | 57.1% | |
| 66.67% | 9 | 5.6 | 790 | 9,725 | 100.0% | 50.0% | |
| 44.44% | 9 | 3.0 | 908 | 12,585 | 0.0% | 44.4% | |
| 66.67% | 9 | 5.9 | 949 | 11,091 | 100.0% | 50.0% | |
| 33.33% | 9 | 6.3 | 898 | 12,238 | 33.3% | 33.3% | |
| 50.00% | 8 | 6.2 | 991 | 12,231 | 33.3% | 60.0% | |
| 62.50% | 8 | 6.4 | 1,045 | 12,843 | 33.3% | 80.0% | |
| 75.00% | 8 | 5.0 | 776 | 7,361 | 60.0% | 100.0% | |
| 37.50% | 8 | 4.4 | 907 | 10,986 | 40.0% | 33.3% | |
| 62.50% | 8 | 2.0 | 936 | 11,401 | 50.0% | 66.7% | |
| 57.14% | 7 | 6.7 | 937 | 9,951 | 60.0% | 50.0% | |
| 57.14% | 7 | 7.4 | 919 | 9,763 | 75.0% | 33.3% | |
| 57.14% | 7 | 3.7 | 830 | 11,875 | 66.7% | 50.0% | |
| 42.86% | 7 | 5.8 | 701 | 8,331 | 50.0% | 33.3% | |
| 14.29% | 7 | 7.4 | 1,117 | 13,319 | 33.3% | 0.0% | |
| 66.67% | 6 | 3.8 | 879 | 11,928 | 100.0% | 60.0% | |
| 40.00% | 5 | 4.0 | 1,103 | 12,178 | 0.0% | 50.0% | |
| 40.00% | 5 | 2.3 | 856 | 9,345 | 100.0% | 0.0% | |
| 60.00% | 5 | 6.1 | 1,108 | 14,294 | 100.0% | 50.0% | |
| 40.00% | 5 | 4.1 | 833 | 8,956 | 50.0% | 33.3% | |
| 80.00% | 5 | 2.9 | 718 | 9,068 | 0.0% | 100.0% | |
| 60.00% | 5 | 5.5 | 1,130 | 13,342 | 100.0% | 50.0% | |
| 60.00% | 5 | 5.5 | 1,062 | 12,834 | 0.0% | 100.0% | |
远古巫灵 vs 殇之木乃伊 - 常见问题
在英雄联盟中,远古巫灵对殇之木乃伊表现如何?
远古巫灵以62.5%的胜率赢得远古巫灵 vs 殇之木乃伊的对决,而殇之木乃伊为37.5%,相差25.0个百分点。该数据基于26.10版本的8场近期排位赛。
在前期,远古巫灵对殇之木乃伊表现如何?
在前期,远古巫灵对殇之木乃伊占有优势,胜率为50.0%对50.0%。远古巫灵玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期,远古巫灵对殇之木乃伊表现如何?
在后期,远古巫灵以66.7%对33.3%的胜率主导远古巫灵 vs 殇之木乃伊的对决。远古巫灵在25分钟后的团战和目标争夺中成长更强。
谁赢得远古巫灵 vs 殇之木乃伊的对决?
远古巫灵在英雄联盟26.10版本中以62.5%的胜率赢得对殇之木乃伊的对决。25.0个百分点的优势意味着根据8场分析的比赛,远古巫灵在这个线上对决中significantly占优。
对抗殇之木乃伊的最佳远古巫灵出装是什么?
对抗殇之木乃伊的最佳远古巫灵出装包括卢登的回声, 影焰, 视界专注 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。
对抗殇之木乃伊的最佳远古巫灵符文是什么?
对抗殇之木乃伊的最佳远古巫灵符文使用启迪主系和巫术副系。This rune setup achieves a 100.0% win rate in the 远古巫灵 vs 殇之木乃伊 matchup. 查看上方对决比较中的完整符文分析。
远古巫灵克制殇之木乃伊吗?
是的,远古巫灵对殇之木乃伊有利,胜率为62.5%。根据当前26.10版本数据,远古巫灵在线上strongly counters殇之木乃伊。
如何用远古巫灵对战殇之木乃伊?
当远古巫灵对战殇之木乃伊时,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。
