大发明家对阵 皮城女警
大发明家 vs 皮城女警在LoL版本26.11中是a decisive对线。皮城女警以53.3%胜率(+6.7%)击败大发明家，基于30场比赛。皮城女警 holds the advantage in both the early and late game.下方您将找到大发明家 vs 皮城女警对线的最佳大发明家出装、符文、对线统计和策略。
大发明家对线分析
使用下拉菜单选择对手，查看大发明家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。
大发明家 vs 皮城女警对线谁赢？
大发明家对战皮城女警对决摘要
大发明家对战皮城女警在英雄联盟排位赛中是决定性的对决。根据30场近期比赛的分析，皮城女警以53.3%的胜率获胜，相比大发明家的46.7%，给予皮城女警 6.7个百分点的优势。 皮城女警在每个阶段都占据主导——从早期对线到后期团战。这种持续的优势使大发明家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，皮城女警领先170 HP/min——这一差异严重影响换血和小规模团战的结果。 皮城女警在这场对决中有强大优势。大发明家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皮城女警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。
大发明家对战皮城女警对线阶段分析
皮城女警在对线阶段对阵大发明家时更有优势，赢得5个关键统计类别中的3个。皮城女警在补刀, 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 大发明家 Build Against 皮城女警
法师之靴是对抗皮城女警的最佳鞋子选择，提供大发明家在这场对决中最需要的移动速度和属性。 大发明家对抗皮城女警表现最好的核心装备是兰德里的折磨, 瑞莱的冰晶节杖 和 黯炎火炬。这一组合给大发明家提供了对决所需的伤害、生存和功能的有效平衡。 可能需要根据队伍阵容和游戏状态进行调整，但这套出装为大发明家对战皮城女警对决提供了最强的基础。
Early Game vs Late Game
大发明家46.1%
皮城女警53.9%大发明家47.1%皮城女警52.9%皮城女警以令人印象深刻的53.9%胜率主导前期（前15分钟）——领先大发明家 7.7个百分点。这一不平衡的前期意味着皮城女警可以从1级开始决定线上节奏，控制换血、兵线状态和河道优先权。
皮城女警在后期（25分钟以上）远远更强，拥有52.9%胜率——比大发明家高5.9点。长时间游戏强烈有利于皮城女警，其技能组和成长使其成为团战和目标控制中的主导力量。
皮城女警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。大发明家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 大发明家 Runes Against 皮城女警
巫术
启迪
巫术和启迪符文设置给大发明家在这场困难对决中与皮城女警竞争的最佳工具，用最优符文协同来弥补统计劣势。
英雄联盟26.11版本大发明家对线数据。下表显示大发明家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，包括大发明家最佳出装、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 |
|---|---|---|---|---|---|---|---|
| 53.91% | 115 | 6.4 | 937 | 12,099 | 42.9% | 58.8% | |
| 51.04% | 96 | 6.3 | 1,060 | 10,801 | 63.4% | 41.8% | |
| 43.16% | 95 | 6.6 | 1,038 | 10,956 | 51.1% | 36.0% | |
| 45.35% | 86 | 6.3 | 1,038 | 11,683 | 47.1% | 44.2% | |
| 53.42% | 73 | 6.3 | 902 | 10,813 | 56.4% | 50.0% | |
| 51.52% | 66 | 6.6 | 1,043 | 12,227 | 54.5% | 50.0% | |
| 58.73% | 63 | 6.5 | 1,215 | 12,589 | 66.7% | 55.6% | |
| 40.68% | 59 | 6.4 | 932 | 10,060 | 25.0% | 51.4% | |
| 56.14% | 57 | 6.2 | 1,161 | 11,943 | 56.5% | 55.9% | |
| 44.64% | 56 | 6.4 | 1,168 | 10,692 | 40.7% | 48.3% | |
| 38.18% | 55 | 6.6 | 898 | 11,766 | 35.3% | 39.5% | |
| 53.70% | 54 | 6.1 | 963 | 11,228 | 56.5% | 51.6% | |
| 45.28% | 53 | 6.5 | 1,216 | 12,092 | 47.1% | 44.4% | |
| 44.90% | 49 | 6.3 | 877 | 11,402 | 56.3% | 39.4% | |
| 42.86% | 49 | 6.5 | 1,097 | 12,152 | 47.8% | 38.5% | |
| 51.11% | 45 | 6.1 | 1,211 | 11,494 | 58.3% | 48.5% | |
| 41.86% | 43 | 6.4 | 959 | 11,098 | 41.2% | 42.3% | |
| 48.84% | 43 | 6.1 | 1,075 | 11,415 | 55.0% | 43.5% | |
| 53.66% | 41 | 6.4 | 1,075 | 10,675 | 55.6% | 52.2% | |
| 34.15% | 41 | 6.4 | 1,331 | 10,967 | 57.1% | 22.2% | |
| 55.00% | 40 | 6.2 | 885 | 10,876 | 70.6% | 43.5% | |
| 52.50% | 40 | 5.3 | 980 | 11,049 | 45.0% | 60.0% | |
| 42.50% | 40 | 6.2 | 959 | 10,751 | 61.1% | 27.3% | |
| 56.41% | 39 | 6.2 | 963 | 10,622 | 35.3% | 72.7% | |
| 50.00% | 38 | 6.9 | 1,119 | 12,434 | 63.6% | 44.4% | |
| 36.84% | 38 | 6.6 | 1,063 | 12,523 | 38.5% | 36.0% | |
| 45.95% | 37 | 7.0 | 899 | 10,810 | 56.3% | 38.1% | |
| 43.24% | 37 | 6.1 | 1,139 | 11,836 | 33.3% | 48.0% | |
| 41.67% | 36 | 6.3 | 1,133 | 11,214 | 35.7% | 45.5% | |
| 63.89% | 36 | 6.4 | 1,075 | 11,360 | 76.5% | 52.6% | |
| 55.88% | 34 | 6.0 | 1,265 | 11,419 | 53.3% | 57.9% | |
| 60.61% | 33 | 7.1 | 1,148 | 12,448 | 64.3% | 57.9% | |
| 66.67% | 33 | 4.5 | 727 | 10,431 | 45.5% | 77.3% | |
| 53.33% | 30 | 6.8 | 1,190 | 11,708 | 62.5% | 42.9% | |
| 46.67% | 30 | 6.0 | 995 | 12,375 | 46.1% | 47.1% | |
| 48.28% | 29 | 5.9 | 913 | 11,960 | 60.0% | 42.1% | |
| 58.62% | 29 | 6.7 | 996 | 11,882 | 62.5% | 53.9% | |
| 51.72% | 29 | 6.0 | 976 | 11,390 | 46.1% | 56.3% | |
| 57.14% | 28 | 3.7 | 742 | 9,922 | 50.0% | 64.3% | |
| 70.37% | 27 | 6.2 | 1,183 | 12,693 | 64.3% | 76.9% | |
| 44.44% | 27 | 6.4 | 1,252 | 11,726 | 70.0% | 29.4% | |
| 53.85% | 26 | 6.3 | 1,007 | 11,692 | 85.7% | 42.1% | |
| 50.00% | 26 | 6.6 | 961 | 11,951 | 58.3% | 42.9% | |
| 69.23% | 26 | 5.6 | 1,132 | 11,929 | 58.3% | 78.6% | |
| 53.85% | 26 | 6.3 | 962 | 9,886 | 50.0% | 57.1% | |
| 44.00% | 25 | 5.8 | 962 | 11,869 | 27.3% | 57.1% | |
| 60.00% | 25 | 7.1 | 1,284 | 13,511 | 50.0% | 66.7% | |
| 52.00% | 25 | 6.1 | 943 | 12,825 | 44.4% | 56.3% | |
| 54.17% | 24 | 5.0 | 773 | 9,824 | 30.8% | 81.8% | |
| 37.50% | 24 | 5.8 | 878 | 9,673 | 55.6% | 26.7% | |
| 75.00% | 24 | 6.8 | 1,142 | 13,085 | 42.9% | 88.2% | |
| 43.48% | 23 | 6.5 | 1,006 | 10,907 | 50.0% | 36.4% | |
| 54.55% | 22 | 6.2 | 900 | 12,569 | 66.7% | 46.1% | |
| 45.45% | 22 | 6.3 | 1,042 | 12,519 | 75.0% | 28.6% | |
| 50.00% | 22 | 5.8 | 915 | 11,309 | 55.6% | 46.1% | |
| 59.09% | 22 | 6.1 | 1,124 | 11,741 | 88.9% | 38.5% | |
| 45.00% | 20 | 3.0 | 902 | 10,864 | 42.9% | 46.1% | |
| 35.00% | 20 | 6.1 | 868 | 10,169 | 44.4% | 27.3% | |
| 52.63% | 19 | 6.1 | 1,026 | 11,800 | 71.4% | 41.7% | |
| 63.16% | 19 | 7.2 | 1,315 | 12,768 | 75.0% | 54.5% | |
| 31.58% | 19 | 6.2 | 791 | 10,976 | 37.5% | 27.3% | |
| 52.63% | 19 | 6.1 | 1,025 | 13,829 | 42.9% | 58.3% | |
| 27.78% | 18 | 6.8 | 946 | 12,597 | 0.0% | 41.7% | |
| 61.11% | 18 | 6.2 | 973 | 12,555 | 62.5% | 60.0% | |
| 55.56% | 18 | 7.0 | 935 | 13,035 | 66.7% | 53.3% | |
| 38.89% | 18 | 5.3 | 831 | 9,905 | 33.3% | 41.7% | |
| 44.44% | 18 | 6.2 | 992 | 10,869 | 25.0% | 60.0% | |
| 44.44% | 18 | 6.2 | 1,024 | 11,203 | 44.4% | 44.4% | |
| 38.89% | 18 | 5.9 | 979 | 11,398 | 66.7% | 25.0% | |
| 35.29% | 17 | 6.6 | 1,206 | 13,195 | 28.6% | 40.0% | |
| 35.29% | 17 | 5.9 | 1,031 | 14,109 | 0.0% | 37.5% | |
| 64.71% | 17 | 5.9 | 1,041 | 11,935 | 44.4% | 87.5% | |
| 35.29% | 17 | 6.2 | 1,040 | 11,311 | 0.0% | 50.0% | |
| 25.00% | 16 | 3.8 | 897 | 11,676 | 0.0% | 28.6% | |
| 50.00% | 16 | 6.1 | 1,000 | 11,360 | 60.0% | 45.5% | |
| 33.33% | 15 | 2.0 | 872 | 9,510 | 28.6% | 37.5% | |
| 66.67% | 15 | 6.5 | 1,267 | 13,085 | 66.7% | 66.7% | |
| 46.67% | 15 | 6.7 | 954 | 11,132 | 33.3% | 55.6% | |
| 64.29% | 14 | 6.3 | 1,026 | 12,121 | 83.3% | 50.0% | |
| 42.86% | 14 | 2.1 | 889 | 9,404 | 60.0% | 33.3% | |
| 53.85% | 13 | 6.8 | 1,214 | 11,169 | 50.0% | 57.1% | |
| 46.15% | 13 | 6.0 | 844 | 10,357 | 57.1% | 33.3% | |
| 53.85% | 13 | 1.9 | 826 | 10,260 | 60.0% | 50.0% | |
| 58.33% | 12 | 6.3 | 894 | 11,897 | 50.0% | 75.0% | |
| 50.00% | 12 | 7.0 | 1,060 | 10,554 | 66.7% | 33.3% | |
| 41.67% | 12 | 6.0 | 1,279 | 13,121 | 66.7% | 33.3% | |
| 50.00% | 12 | 6.3 | 1,118 | 11,951 | 33.3% | 66.7% | |
| 33.33% | 12 | 6.0 | 1,087 | 12,634 | 0.0% | 66.7% | |
| 66.67% | 12 | 6.9 | 1,163 | 11,669 | 50.0% | 83.3% | |
| 36.36% | 11 | 1.7 | 864 | 11,520 | 0.0% | 44.4% | |
| 27.27% | 11 | 4.9 | 946 | 11,800 | 0.0% | 37.5% | |
| 27.27% | 11 | 1.9 | 804 | 9,901 | 25.0% | 28.6% | |
| 60.00% | 10 | 6.6 | 948 | 10,030 | 42.9% | 100.0% | |
| 70.00% | 10 | 3.8 | 768 | 10,368 | 0.0% | 87.5% | |
| 50.00% | 10 | 4.9 | 826 | 8,797 | 40.0% | 60.0% | |
| 50.00% | 10 | 6.5 | 1,086 | 13,545 | 100.0% | 44.4% | |
| 30.00% | 10 | 6.3 | 1,010 | 11,141 | 100.0% | 12.5% | |
| 60.00% | 10 | 6.1 | 983 | 11,853 | 75.0% | 50.0% | |
| 22.22% | 9 | 3.8 | 836 | 9,297 | 50.0% | 0.0% | |
| 33.33% | 9 | 5.3 | 869 | 10,161 | 50.0% | 0.0% | |
| 66.67% | 9 | 6.5 | 1,054 | 14,842 | 66.7% | 66.7% | |
| 55.56% | 9 | 6.5 | 1,347 | 14,818 | 50.0% | 60.0% | |
| 77.78% | 9 | 2.8 | 948 | 10,592 | 60.0% | 100.0% | |
| 55.56% | 9 | 2.3 | 898 | 12,360 | 66.7% | 50.0% | |
| 75.00% | 8 | 5.8 | 968 | 10,970 | 75.0% | 75.0% | |
| 37.50% | 8 | 6.3 | 1,087 | 11,321 | 33.3% | 40.0% | |
| 71.43% | 7 | 2.2 | 679 | 10,244 | 50.0% | 80.0% | |
| 42.86% | 7 | 4.2 | 1,034 | 11,158 | 50.0% | 40.0% | |
| 71.43% | 7 | 6.6 | 1,185 | 14,482 | 50.0% | 80.0% | |
| 71.43% | 7 | 5.9 | 981 | 12,668 | 100.0% | 66.7% | |
| 14.29% | 7 | 6.2 | 800 | 10,328 | 0.0% | 25.0% | |
| 42.86% | 7 | 2.4 | 651 | 10,935 | 100.0% | 20.0% | |
| 57.14% | 7 | 5.9 | 834 | 7,876 | 75.0% | 33.3% | |
| 83.33% | 6 | 2.0 | 560 | 8,555 | 75.0% | 100.0% | |
| 66.67% | 6 | 6.7 | 1,289 | 12,755 | 66.7% | 66.7% | |
| 66.67% | 6 | 5.2 | 880 | 12,210 | 100.0% | 50.0% | |
| 50.00% | 6 | 4.2 | 755 | 9,720 | 75.0% | 0.0% | |
| 50.00% | 6 | 3.9 | 942 | 10,955 | 66.7% | 33.3% | |
| 33.33% | 6 | 4.9 | 798 | 8,912 | 50.0% | 0.0% | |
| 50.00% | 6 | 6.8 | 887 | 10,836 | 66.7% | 33.3% | |
| 83.33% | 6 | 5.3 | 927 | 11,283 | 100.0% | 75.0% | |
| 16.67% | 6 | 3.8 | 980 | 12,112 | 0.0% | 25.0% | |
| 100.00% | 5 | 6.4 | 1,223 | 14,338 | 100.0% | 100.0% | |
| 60.00% | 5 | 7.1 | 1,063 | 16,022 | 0.0% | 60.0% | |
| 20.00% | 5 | 2.1 | 737 | 8,757 | 0.0% | 33.3% | |
| 60.00% | 5 | 5.2 | 1,037 | 10,563 | 100.0% | 50.0% | |
| 20.00% | 5 | 7.2 | 935 | 10,644 | 25.0% | 0.0% | |
| 40.00% | 5 | 3.3 | 1,165 | 12,369 | 0.0% | 50.0% | |
| 60.00% | 5 | 6.1 | 1,355 | 14,107 | 50.0% | 66.7% | |
| 40.00% | 5 | 6.5 | 1,214 | 15,564 | 0.0% | 40.0% | |
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大发明家 vs 皮城女警 - 常见问题
在英雄联盟中，大发明家对皮城女警表现如何？
皮城女警以53.3%的胜率赢得大发明家 vs 皮城女警的对决，而大发明家为46.7%，相差6.7个百分点。该数据基于26.11版本的30场近期排位赛。
在前期，大发明家对皮城女警表现如何？
在前期，皮城女警对大发明家占有优势，胜率为53.9%对46.1%。皮城女警玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，大发明家对皮城女警表现如何？
在后期，皮城女警以52.9%对47.1%的胜率主导大发明家 vs 皮城女警的对决。皮城女警在25分钟后的团战和目标争夺中成长更强。
谁赢得大发明家 vs 皮城女警的对决？
皮城女警在英雄联盟26.11版本中以53.3%的胜率赢得对大发明家的对决。6.7个百分点的优势意味着根据30场分析的比赛，皮城女警在这个线上对决中significantly占优。
对抗皮城女警的最佳大发明家出装是什么？
对抗皮城女警的最佳大发明家出装包括兰德里的折磨, 瑞莱的冰晶节杖, 黯炎火炬 with 法师之靴。 查看上方的对决分析了解完整的出装路线和顺序。
对抗皮城女警的最佳大发明家符文是什么？
对抗皮城女警的最佳大发明家符文使用巫术主系和启迪副系。This rune setup achieves a 100.0% win rate in the 大发明家 vs 皮城女警 matchup. 查看上方对决比较中的完整符文分析。
大发明家克制皮城女警吗？
不，大发明家对抗皮城女警时表现吃力，胜率仅为46.7%。皮城女警在这个对决中占优。大发明家玩家应该专注于安全补刀，避免长时间换血以减少皮城女警的领先优势。
如何用大发明家对战皮城女警？
当大发明家对战皮城女警时，谨慎游戏并避开皮城女警的强势期。Look for jungle assistance and team-dependent plays since 皮城女警 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。