大发明家对阵 狂野女猎手
大发明家 vs 狂野女猎手在LoL版本26.10中是a decisive对线。大发明家以100.0%胜率(+100.0%)击败狂野女猎手，基于5场比赛。大发明家 holds the advantage in both the early and late game.下方您将找到大发明家 vs 狂野女猎手对线的最佳大发明家出装、符文、对线统计和策略。
大发明家 Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how 大发明家 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.
狂野女猎手(100.0%)Who Wins the 大发明家 vs 狂野女猎手 Matchup?
大发明家对战狂野女猎手对决摘要
大发明家对战狂野女猎手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，大发明家以100.0%的胜率获胜，相比狂野女猎手的0.0%，给予大发明家 100.0个百分点的优势。 大发明家在每个阶段都占据主导——从早期对线到后期团战。这种持续的优势使狂野女猎手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控制技能方面，大发明家领先0.9s CC/min——这一差异严重影响换血和小规模团战的结果。 大发明家玩家可以自信地选择对抗狂野女猎手并从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，并尽可能将狂野女猎手从补刀中挤走。 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。
大发明家对战狂野女猎手对线阶段分析
大发明家在对线阶段对阵狂野女猎手时更有优势，赢得5个关键统计类别中的4个。大发明家在补刀, 伤害, 金币收入 和 控制技能方面有优势，使其成为这场对决中更强的对线者。
Best 大发明家 Build Against 狂野女猎手
法师之靴是对抗狂野女猎手的最佳鞋子选择，提供大发明家在这场对决中最需要的移动速度和属性。 大发明家对抗狂野女猎手表现最好的核心装备是兰德里的折磨, 灭世者的死亡之帽 和 梅贾的窃魂卷。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。 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，使其成为对抗狂野女猎手的最佳装备路径。 可能需要根据队伍阵容和游戏状态进行调整，但这套出装为大发明家对战狂野女猎手对决提供了最强的基础。
Early Game vs Late Game
大发明家0.0%狂野女猎手0.0%大发明家100.0%狂野女猎手0.0%前期（前15分钟）是大发明家和狂野女猎手之间的抛硬币，大发明家以微弱的0.0%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。
大发明家在后期（25分钟以上）远远更强，拥有100.0%胜率——比狂野女猎手高100.0点。长时间游戏强烈有利于大发明家，其技能组和成长使其成为团战和目标控制中的主导力量。
大发明家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。狂野女猎手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 狂野女猎手
巫术
启迪
使用巫术主系配启迪副系允许大发明家压制对狂野女猎手的优势，放大使这场对决有利的优势。
英雄联盟26.10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 |
|---|---|---|---|---|---|---|---|
| 49.28% | 138 | 6.4 | 954 | 11,802 | 43.4% | 52.9% | |
| 39.64% | 111 | 6.4 | 1,042 | 11,207 | 45.5% | 35.8% | |
| 47.30% | 74 | 6.2 | 984 | 10,607 | 43.8% | 50.0% | |
| 46.48% | 71 | 6.3 | 1,075 | 11,876 | 44.4% | 47.7% | |
| 45.31% | 64 | 6.0 | 966 | 10,472 | 44.1% | 46.7% | |
| 44.26% | 61 | 6.2 | 1,052 | 11,790 | 50.0% | 37.9% | |
| 55.00% | 60 | 6.4 | 1,033 | 11,580 | 61.9% | 51.3% | |
| 48.15% | 54 | 6.3 | 955 | 10,825 | 58.3% | 40.0% | |
| 44.23% | 52 | 6.0 | 1,024 | 10,670 | 35.0% | 50.0% | |
| 66.67% | 51 | 6.6 | 1,165 | 12,049 | 66.7% | 66.7% | |
| 47.92% | 48 | 6.0 | 917 | 11,122 | 50.0% | 46.4% | |
| 61.70% | 47 | 6.2 | 1,023 | 11,524 | 64.7% | 60.0% | |
| 40.91% | 44 | 6.3 | 1,336 | 10,546 | 36.8% | 44.0% | |
| 52.38% | 42 | 4.9 | 755 | 9,629 | 68.4% | 39.1% | |
| 78.05% | 41 | 6.0 | 1,071 | 11,023 | 75.0% | 81.0% | |
| 56.10% | 41 | 5.9 | 987 | 11,425 | 68.8% | 48.0% | |
| 45.00% | 40 | 6.3 | 1,236 | 11,811 | 57.1% | 38.5% | |
| 41.03% | 39 | 5.0 | 1,183 | 11,424 | 31.6% | 50.0% | |
| 64.10% | 39 | 6.5 | 1,040 | 11,723 | 64.7% | 63.6% | |
| 50.00% | 38 | 6.4 | 1,097 | 12,601 | 45.5% | 51.9% | |
| 54.05% | 37 | 5.4 | 885 | 10,497 | 44.4% | 63.2% | |
| 43.24% | 37 | 6.3 | 1,014 | 12,309 | 31.3% | 52.4% | |
| 63.89% | 36 | 6.2 | 1,148 | 11,976 | 46.7% | 76.2% | |
| 42.86% | 35 | 6.3 | 1,029 | 9,675 | 50.0% | 33.3% | |
| 24.24% | 33 | 6.1 | 939 | 10,500 | 17.6% | 31.3% | |
| 66.67% | 33 | 6.2 | 1,142 | 13,174 | 62.5% | 68.0% | |
| 62.50% | 32 | 5.8 | 1,093 | 11,745 | 66.7% | 60.0% | |
| 35.48% | 31 | 5.9 | 912 | 10,955 | 41.7% | 31.6% | |
| 48.39% | 31 | 6.2 | 1,030 | 11,593 | 40.0% | 52.4% | |
| 54.84% | 31 | 6.3 | 1,093 | 10,623 | 56.3% | 53.3% | |
| 60.00% | 30 | 6.4 | 1,032 | 11,579 | 78.6% | 43.8% | |
| 46.67% | 30 | 4.9 | 946 | 11,962 | 50.0% | 45.5% | |
| 17.86% | 28 | 6.4 | 926 | 10,140 | 17.6% | 18.2% | |
| 40.74% | 27 | 6.0 | 853 | 11,039 | 50.0% | 35.3% | |
| 51.85% | 27 | 4.3 | 1,057 | 10,514 | 50.0% | 52.9% | |
| 44.44% | 27 | 6.1 | 1,059 | 11,229 | 36.4% | 50.0% | |
| 48.15% | 27 | 6.4 | 1,144 | 11,755 | 70.0% | 35.3% | |
| 53.85% | 26 | 6.2 | 1,027 | 11,194 | 60.0% | 50.0% | |
| 38.46% | 26 | 6.1 | 944 | 10,740 | 40.0% | 37.5% | |
| 64.00% | 25 | 5.6 | 1,098 | 12,473 | 57.1% | 66.7% | |
| 48.00% | 25 | 5.9 | 1,016 | 12,026 | 41.7% | 53.9% | |
| 44.00% | 25 | 6.1 | 935 | 11,163 | 57.1% | 38.9% | |
| 48.00% | 25 | 4.7 | 791 | 11,317 | 33.3% | 56.3% | |
| 44.00% | 25 | 6.3 | 981 | 11,590 | 36.4% | 50.0% | |
| 52.00% | 25 | 6.5 | 1,092 | 11,906 | 54.5% | 50.0% | |
| 65.22% | 23 | 6.3 | 1,177 | 11,831 | 72.7% | 58.3% | |
| 52.17% | 23 | 6.8 | 895 | 11,442 | 45.5% | 58.3% | |
| 47.83% | 23 | 6.6 | 1,086 | 12,226 | 44.4% | 50.0% | |
| 45.45% | 22 | 2.7 | 729 | 9,100 | 55.6% | 38.5% | |
| 50.00% | 22 | 6.2 | 1,009 | 10,464 | 63.6% | 36.4% | |
| 65.00% | 20 | 6.5 | 1,302 | 12,846 | 42.9% | 76.9% | |
| 65.00% | 20 | 5.4 | 965 | 12,191 | 37.5% | 83.3% | |
| 40.00% | 20 | 4.6 | 882 | 9,954 | 50.0% | 30.0% | |
| 40.00% | 20 | 6.2 | 984 | 9,762 | 50.0% | 30.0% | |
| 47.37% | 19 | 3.4 | 806 | 11,301 | 20.0% | 57.1% | |
| 42.11% | 19 | 6.4 | 957 | 10,349 | 37.5% | 45.5% | |
| 42.11% | 19 | 5.9 | 937 | 10,555 | 62.5% | 27.3% | |
| 50.00% | 18 | 6.2 | 1,050 | 13,489 | 80.0% | 38.5% | |
| 55.56% | 18 | 5.9 | 833 | 10,561 | 50.0% | 58.3% | |
| 38.89% | 18 | 3.0 | 907 | 10,548 | 20.0% | 62.5% | |
| 44.44% | 18 | 6.6 | 1,361 | 10,766 | 57.1% | 36.4% | |
| 61.11% | 18 | 6.1 | 1,054 | 12,912 | 50.0% | 66.7% | |
| 27.78% | 18 | 5.9 | 1,045 | 11,646 | 42.9% | 18.2% | |
| 66.67% | 18 | 5.8 | 910 | 12,012 | 80.0% | 61.5% | |
| 58.82% | 17 | 6.7 | 1,149 | 11,908 | 50.0% | 66.7% | |
| 41.18% | 17 | 5.3 | 885 | 10,235 | 37.5% | 44.4% | |
| 41.18% | 17 | 5.7 | 985 | 10,090 | 25.0% | 55.6% | |
| 52.94% | 17 | 6.5 | 1,171 | 11,559 | 50.0% | 55.6% | |
| 58.82% | 17 | 6.1 | 897 | 11,654 | 77.8% | 37.5% | |
| 25.00% | 16 | 5.7 | 1,013 | 11,754 | 25.0% | 25.0% | |
| 68.75% | 16 | 6.3 | 1,062 | 12,270 | 60.0% | 72.7% | |
| 50.00% | 16 | 6.1 | 827 | 10,374 | 50.0% | 50.0% | |
| 50.00% | 16 | 6.1 | 963 | 10,126 | 62.5% | 37.5% | |
| 60.00% | 15 | 6.3 | 1,431 | 13,722 | 100.0% | 40.0% | |
| 46.67% | 15 | 5.2 | 996 | 13,180 | 75.0% | 36.4% | |
| 53.33% | 15 | 6.5 | 1,168 | 11,548 | 44.4% | 66.7% | |
| 71.43% | 14 | 5.9 | 1,071 | 12,221 | 50.0% | 80.0% | |
| 50.00% | 14 | 6.1 | 1,063 | 11,167 | 57.1% | 42.9% | |
| 64.29% | 14 | 5.7 | 963 | 12,382 | 66.7% | 62.5% | |
| 61.54% | 13 | 6.6 | 902 | 10,970 | 50.0% | 66.7% | |
| 50.00% | 12 | 5.8 | 1,107 | 13,202 | 62.5% | 25.0% | |
| 50.00% | 12 | 6.0 | 1,047 | 11,202 | 75.0% | 37.5% | |
| 25.00% | 12 | 5.7 | 946 | 11,103 | 50.0% | 12.5% | |
| 63.64% | 11 | 5.4 | 866 | 12,457 | 66.7% | 62.5% | |
| 36.36% | 11 | 2.3 | 806 | 11,191 | 50.0% | 33.3% | |
| 27.27% | 11 | 2.6 | 915 | 9,336 | 0.0% | 42.9% | |
| 36.36% | 11 | 6.0 | 1,083 | 12,065 | 33.3% | 37.5% | |
| 54.55% | 11 | 5.8 | 958 | 11,808 | 75.0% | 42.9% | |
| 40.00% | 10 | 5.4 | 1,411 | 12,736 | 50.0% | 33.3% | |
| 50.00% | 10 | 6.4 | 1,063 | 12,379 | 50.0% | 50.0% | |
| 40.00% | 10 | 6.5 | 904 | 12,262 | 0.0% | 57.1% | |
| 60.00% | 10 | 5.9 | 966 | 11,465 | 100.0% | 50.0% | |
| 50.00% | 10 | 6.0 | 763 | 11,008 | 50.0% | 50.0% | |
| 70.00% | 10 | 6.9 | 1,129 | 15,106 | 75.0% | 66.7% | |
| 50.00% | 10 | 6.2 | 926 | 11,216 | 50.0% | 50.0% | |
| 60.00% | 10 | 2.8 | 943 | 12,077 | 100.0% | 50.0% | |
| 88.89% | 9 | 3.5 | 805 | 10,588 | 100.0% | 66.7% | |
| 44.44% | 9 | 5.5 | 927 | 11,711 | 40.0% | 50.0% | |
| 44.44% | 9 | 6.1 | 1,347 | 15,981 | 0.0% | 57.1% | |
| 44.44% | 9 | 5.7 | 952 | 10,650 | 50.0% | 40.0% | |
| 44.44% | 9 | 4.5 | 1,083 | 10,463 | 25.0% | 60.0% | |
| 55.56% | 9 | 6.5 | 1,038 | 10,617 | 75.0% | 40.0% | |
| 75.00% | 8 | 2.8 | 902 | 10,976 | 50.0% | 83.3% | |
| 50.00% | 8 | 1.8 | 819 | 9,974 | 66.7% | 40.0% | |
| 62.50% | 8 | 1.7 | 573 | 8,173 | 100.0% | 40.0% | |
| 87.50% | 8 | 5.5 | 894 | 11,968 | 100.0% | 85.7% | |
| 62.50% | 8 | 3.3 | 681 | 10,447 | 50.0% | 66.7% | |
| 100.00% | 8 | 5.5 | 1,278 | 12,425 | 100.0% | 100.0% | |
| 37.50% | 8 | 1.8 | 802 | 7,621 | 40.0% | 33.3% | |
| 57.14% | 7 | 2.3 | 777 | 10,664 | 100.0% | 40.0% | |
| 28.57% | 7 | 5.6 | 1,085 | 10,777 | 25.0% | 33.3% | |
| 42.86% | 7 | 1.9 | 693 | 8,557 | 25.0% | 66.7% | |
| 42.86% | 7 | 3.9 | 1,213 | 13,482 | 66.7% | 25.0% | |
| 85.71% | 7 | 7.7 | 674 | 9,203 | 80.0% | 100.0% | |
| 33.33% | 6 | 5.7 | 982 | 11,261 | 50.0% | 25.0% | |
| 66.67% | 6 | 5.6 | 1,292 | 15,303 | 0.0% | 80.0% | |
| 16.67% | 6 | 3.4 | 832 | 10,835 | 33.3% | 0.0% | |
| 50.00% | 6 | 5.9 | 969 | 11,201 | 0.0% | 75.0% | |
| 33.33% | 6 | 3.2 | 1,195 | 11,147 | 50.0% | 25.0% | |
| 50.00% | 6 | 5.6 | 1,220 | 12,805 | 50.0% | 50.0% | |
| 33.33% | 6 | 6.5 | 1,072 | 12,526 | 50.0% | 25.0% | |
| 40.00% | 5 | 6.6 | 706 | 6,451 | 50.0% | 0.0% | |
| 40.00% | 5 | 7.0 | 944 | 13,191 | 66.7% | 0.0% | |
| 40.00% | 5 | 7.0 | 1,247 | 12,080 | 50.0% | 33.3% | |
| 20.00% | 5 | 5.1 | 1,285 | 12,109 | 0.0% | 33.3% | |
| 40.00% | 5 | 6.1 | 1,259 | 17,936 | 0.0% | 40.0% | |
| 20.00% | 5 | 5.9 | 981 | 11,312 | 0.0% | 50.0% | |
| 100.00% | 5 | 3.4 | 1,103 | 12,531 | 0.0% | 100.0% | |
| 0.00% | 5 | 4.8 | 1,131 | 11,399 | 0.0% | 0.0% | |
| 40.00% | 5 | 5.4 | 976 | 10,925 | 50.0% | 0.0% | |
| 40.00% | 5 | 2.3 | 722 | 9,601 | 50.0% | 33.3% | |
大发明家 vs 狂野女猎手 - 常见问题
在英雄联盟中，大发明家对狂野女猎手表现如何？
大发明家以100.0%的胜率赢得大发明家 vs 狂野女猎手的对决，而狂野女猎手为0.0%，相差100.0个百分点。该数据基于26.10版本的5场近期排位赛。
在前期，大发明家对狂野女猎手表现如何？
在前期，大发明家对狂野女猎手占有优势，胜率为0.0%对0.0%。大发明家玩家应该在前15分钟通过积极换血和控线来扩大线上优势。
在后期，大发明家对狂野女猎手表现如何？
在后期，大发明家以100.0%对0.0%的胜率主导大发明家 vs 狂野女猎手的对决。大发明家在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 狂野女猎手的对决？
大发明家在英雄联盟26.10版本中以100.0%的胜率赢得对狂野女猎手的对决。100.0个百分点的优势意味着根据5场分析的比赛，大发明家在这个线上对决中significantly占优。
对抗狂野女猎手的最佳大发明家出装是什么？
对抗狂野女猎手的最佳大发明家出装包括兰德里的折磨, 灭世者的死亡之帽, 梅贾的窃魂卷 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。
对抗狂野女猎手的最佳大发明家符文是什么？
对抗狂野女猎手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 狂野女猎手 matchup. 查看上方对决比较中的完整符文分析。
大发明家克制狂野女猎手吗？
是的，大发明家对狂野女猎手有利，胜率为100.0%。根据当前26.10版本数据，大发明家在线上strongly counters狂野女猎手。
如何用大发明家对战狂野女猎手？
当大发明家对战狂野女猎手时，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。