中单对线最强英雄 - 对线期数据

Patch 26.19

基于 26.19 版本 95,189 场排位对局,按 15 分钟时对阵同路对手的表现排序的 143 位中单英雄。刀锋舞者 对线优势最大:平均领先 +797 经济,68% 的对局处于领先。灵罗娃娃 最擅长把经济领先转化为胜利(70%),而 时光守护者 最擅长从落后中翻盘(50%)。

版本
26.19
对线胜率最高
荒漠屠夫 · 68.8%
最会转化优势
灵罗娃娃 · 69.8%

26.19 版本 · 全部段位 · 北美单双排与灵活组排 · 场次:95,189

刀锋舞者 是 26.19 版本的中单线霸:15 分钟时平均领先敌方对线者 +797 经济、+21.0 补刀和 +271 经验,68% 的对局处于领先。在该位置中,样本充足的英雄里有 32% 在 15 分钟时拥有统计上显著的经济领先。

赢下对线和赢下比赛是两种不同的能力。灵罗娃娃 在 70% 的情况下把经济领先转化为胜利,为该位置最高;时光守护者 在落后开局的对局中赢下 50%,是最强的翻盘型。刀锋舞者 在 15 分钟前的单杀最多(每场 1.80 次),蛮族之王 在 22% 的对局中拿下一血。

这些数据来自北美服务器 95,189 场单双排与灵活组排排位对局,26.19 版本,全部段位。英雄需有 30 场带 15 分钟快照的对局才会显示对线数据,需 200 场才能登上本页头条。MetaBot 桌面应用将同一表格拆分为黑铁–白银、黄金–铂金和翡翠及以上,并加入经济领先与后期成长的对线分布图。

中单对线前三

排名
英雄
类型
15分钟经济15分钟补刀15分钟经验对线胜率领先时胜率落后时胜率单杀一血后期成长胜率选取占比场次
1线霸+797+21.0+27168.1%56.5%29.9%1.8019.7%−6.448.1%1.5%2,899
2线霸+588+7.5+19662.8%64.8%36.3%1.3222.1%−3.353.8%0.2%398
3线霸+567+12.1+8865.2%60.1%30.9%1.2114.5%−6.650.2%0.8%1,437
4线霸+552+5.0+42468.8%58.8%42.7%1.4816.8%+2.253.7%0.1%244
5线霸+542+7.2+30464.1%58.4%31.8%1.1811.3%−8.749.0%0.3%478
6线霸+433−2.4+19060.8%60.4%36.1%1.5116.9%−3.551.0%1.9%3,570
7线霸+412−0.4+15061.1%57.9%33.3%1.167.1%−2.148.3%3.9%7,428
8线霸+408+13.4−5458.2%57.9%36.6%0.868.8%+7.749.5%0.2%297
9线霸+375−2.6+5259.2%57.6%31.1%1.5918.4%+0.846.8%1.0%1,981
10线霸+366−3.6+660.2%61.7%38.7%1.4013.8%−4.352.7%3.4%6,536
11线霸+348+13.1+20159.8%53.8%33.4%1.1511.1%−1.445.8%2.1%4,077
12线霸+348+7.6+14657.7%63.6%34.9%1.0714.2%−8.451.3%0.2%310
13线霸+316+5.3+13664.2%58.0%34.2%1.3210.6%−1.050.0%0.1%208
14线霸+307+5.4−3055.7%61.8%35.9%1.0812.4%+5.450.5%0.3%509
15线霸+300+11.4+29455.5%68.1%43.6%0.927.6%−8.956.7%0.4%719
16线霸+263−0.8−21555.0%60.5%30.4%1.1111.7%−5.947.1%0.4%737
17线霸+255+9.0+1751.8%53.4%30.9%1.0915.4%+7.942.3%0.2%376
18线霸+253−3.2−13655.7%58.4%32.8%1.0414.9%+2.547.1%1.0%1,838
19线霸+252−2.1−2656.0%61.5%34.5%1.3120.5%−1.049.4%0.5%1,021
20线霸+235−8.3−13754.5%61.4%32.5%1.3115.5%−2.148.4%2.9%5,504
21线霸+200+1.6+17958.8%66.3%37.1%0.8110.4%−0.253.9%0.3%547
22线霸+196−7.7−9355.5%63.9%37.9%1.2615.5%−0.952.4%0.5%1,011
23线霸+195+9.5+8554.9%61.8%36.8%1.1112.2%−1.750.5%5.6%10,714
24均衡型+184+8.5+8654.8%52.6%40.7%0.677.5%−8.647.2%0.1%252
25滚雪球型+168+0.2+26657.3%68.6%33.7%1.4314.1%+4.153.5%0.1%213
26稳定型+154−1.8+8252.0%67.6%41.8%1.4319.9%+5.055.5%0.1%281
27均衡型+127+3.9+3552.7%56.1%31.7%1.1916.4%+4.444.6%0.3%475
28均衡型+123−3.8−10954.3%62.3%32.2%1.1713.1%−0.548.3%0.2%458
29线霸+106−8.9−30553.9%59.0%37.5%0.415.8%+3.849.0%1.4%2,626
30均衡型+101−17.6−36251.8%64.1%40.4%1.6319.0%−6.752.8%0.1%231
31线霸+86−5.1+4551.9%62.1%36.3%1.1014.3%−3.949.6%2.4%4,524
32线霸+84−3.4+8453.2%61.3%38.5%1.2815.4%+2.350.6%2.3%4,303
33线霸+82+0.3+9952.4%59.6%35.5%1.2014.9%−2.548.4%1.3%2,473
34稳定型+58−3.0+17355.3%55.7%43.0%1.176.9%+3.350.0%0.2%306
35均衡型+32+2.3−9454.0%63.4%34.7%0.674.3%−3.850.2%0.2%422
36均衡型+29+7.0+7151.8%59.2%40.0%0.724.6%−1.049.7%2.4%4,479
37稳定型+28+2.1+13951.2%63.7%41.1%0.969.1%−1.852.7%3.1%5,839
38稳定型+14−0.5+8350.4%62.4%41.1%1.0810.2%−3.251.7%2.1%3,996
39均衡型+7−2.7+1451.0%57.9%37.3%1.1810.0%−0.247.8%2.9%5,572
40均衡型+3+15.0+10250.9%61.6%40.1%0.562.6%+1.951.0%3.9%7,443
41稳定型−28−5.3+10850.1%62.9%41.7%1.036.4%−3.352.5%0.2%453
42均衡型−35−11.8−14047.7%63.6%35.7%1.1511.9%−2.549.0%2.6%5,014
43均衡型−38+4.0+8949.6%60.3%40.6%0.797.3%−2.750.3%1.8%3,329
44稳定型−41+6.6+10249.2%59.3%45.1%0.957.4%+0.552.3%0.2%363
45均衡型−44+2.7+1848.9%65.7%38.4%1.1610.3%+0.851.8%4.5%8,631
46均衡型−48−5.6+8752.4%61.8%36.7%1.1612.6%+7.350.2%0.2%317
47均衡型−49+1.7+3845.5%60.0%39.4%0.606.4%−2.748.5%0.5%1,006
48均衡型−69+1.1+13148.2%62.0%38.8%0.934.9%+2.350.1%0.4%778
49均衡型−71−2.0+21149.3%61.9%40.3%0.734.4%+0.550.8%1.7%3,152
50均衡型−88−13.3−42648.3%63.9%39.2%0.8312.5%+5.850.8%0.2%327
51均衡型−99−1.3+10748.1%62.4%39.0%0.818.3%+1.250.1%1.3%2,403
52后期型−107−1.5+27748.7%61.9%41.2%0.866.0%+5.951.5%0.5%855
53稳定型−113−2.6−5248.4%66.3%44.1%1.0013.2%+6.355.0%0.3%567
54均衡型−123+0.7−14146.6%53.6%31.0%0.706.7%+0.641.6%0.1%238
55均衡型−128+6.5+15546.7%63.5%40.0%0.685.7%−1.150.8%2.6%5,014
56均衡型−136−12.5−6747.2%61.8%38.4%1.3516.9%−1.349.4%3.0%5,741
57均衡型−144−8.1−12047.2%57.5%40.6%0.958.1%−7.648.6%0.2%432
58稳定型−164+3.3+7646.5%59.2%41.3%0.694.1%−3.949.6%1.5%2,899
59均衡型−179−0.8+16344.9%61.2%39.1%0.739.4%+0.449.0%0.9%1,713
60均衡型−1950.0−49845.1%52.5%32.9%0.699.3%+11.941.9%0.1%270
61均衡型−206−2.1−5944.5%64.6%40.6%0.776.6%−1.151.1%4.5%8,567
62稳定型−2060.0−6046.7%63.0%41.1%0.796.5%−4.251.2%0.3%566
63后期型−222−6.4−34643.9%69.8%39.3%0.524.4%+2.452.9%0.5%945
64均衡型−224−1.3−44943.7%69.1%39.2%0.478.4%−5.152.2%0.1%226
65后期型−239−2.7−21143.0%67.0%43.5%0.798.8%+3.653.8%0.2%444
66后期型−265+2.8+5644.0%65.5%41.5%0.916.0%+7.652.1%2.2%4,267
67后期型−269+0.7−20841.5%58.8%33.9%0.676.2%+5.644.6%0.5%905
68后期型−280+3.5−9342.1%60.9%35.8%0.746.0%+3.346.5%1.2%2,358
69稳定型−289−0.5−6841.5%60.5%42.1%0.856.2%−0.750.0%0.6%1,061
70均衡型−299−9.3−1444.0%59.4%40.0%0.915.4%−1.248.9%0.5%886
71稳定型−317−5.6−6842.4%69.0%41.0%0.622.9%+0.552.8%0.7%1,418
72后期型−319+2.9−17640.6%62.2%37.4%1.0110.6%+4.047.7%0.5%961
73均衡型−329−7.1−16039.7%63.4%40.1%0.558.0%−0.249.4%1.8%3,479
74后期型−409−5.7−22938.9%65.5%42.8%0.959.6%+2.251.5%0.9%1,789
75后期型−413−4.1−16638.5%64.4%42.8%0.552.4%+3.351.0%3.7%7,019
76后期型−418−9.3−32339.3%68.8%38.8%0.713.8%+11.950.3%1.1%2,062
77后期型−439+1.9−16639.5%62.9%38.3%0.602.6%+6.347.9%1.0%1,864
78后期型−456−4.4−25334.2%67.2%38.8%0.393.0%+14.848.6%0.2%370
79后期型−482−0.4−21035.8%61.4%37.1%0.413.8%+6.245.7%1.0%1,970
80稳定型−487−5.3−10032.8%59.3%48.8%0.625.2%+0.952.6%0.1%249
81后期型−540−8.2−21736.4%64.4%42.3%0.695.8%+7.950.9%0.1%291
82后期型−615−10.8−26933.2%54.4%40.1%0.475.3%+9.445.1%0.2%415
83后期型−641−4.9−52231.8%68.0%43.7%0.414.2%+8.251.5%1.1%2,127
84后期型−724−7.8−39831.0%66.4%35.4%0.485.9%+15.144.8%0.2%460
85后期型−764−14.0−2123.2%77.8%49.7%0.264.0%+6.456.4%0.1%202
86线霸+1,112+19.0+1168.7%57.9%—1.609.5%+6.945.2%0.0%84样本较少
87线霸+645+13.0+2962.6%68.4%26.5%1.1517.4%—52.2%0.1%92样本较少
88线霸+556−1.6+165.1%——1.4218.6%—60.5%0.0%43样本较少
89线霸+517−3.5+25461.0%61.3%35.4%1.8118.3%−7.752.4%0.1%126样本较少
90线霸+393+14.4+29260.4%62.1%39.5%1.238.2%−14.252.6%0.1%97样本较少
91线霸+386+0.9+7261.2%57.1%32.5%1.3317.3%+15.348.1%0.1%104样本较少
92均衡型+345+5.9+8256.9%——0.9815.4%—42.3%0.0%52样本较少
93线霸+289+8.9+1555.7%65.1%28.8%1.1019.9%−16.749.0%0.1%151样本较少
94均衡型+288−6.7−4555.7%61.8%—1.349.7%—48.4%0.0%62样本较少
95均衡型+278+3.1−5259.0%69.4%—1.2112.9%—59.7%0.0%62样本较少
96均衡型+270+9.7+59058.3%50.0%33.3%1.3112.2%—43.2%0.0%74样本较少
97均衡型+257−6.4−20355.9%63.2%25.0%1.0712.3%−9.247.1%0.1%138样本较少
98均衡型+249+14.3+16267.4%——0.7020.5%—36.4%0.0%44样本较少
99滚雪球型+234−1.1+4658.0%71.4%35.2%1.4215.7%+6.456.4%0.1%172样本较少
100均衡型+229−6.2+10857.1%59.4%—1.1212.3%—45.6%0.0%57样本较少
101均衡型+202−3.6−20157.6%——1.098.8%—61.8%0.0%34样本较少
102均衡型+174+7.3−52455.6%46.7%—0.6617.9%—33.9%0.0%56样本较少
103稳定型+165+2.0−4457.6%67.4%42.9%1.3011.4%−12.956.3%0.1%167样本较少
104稳定型+154−12.4−23756.3%44.4%50.0%1.3720.6%+11.946.6%0.1%131样本较少
105均衡型+147−0.2+20056.3%55.6%—1.3210.8%—44.6%0.0%65样本较少
106滚雪球型+80−7.3−13154.5%63.9%33.3%1.4915.8%+17.349.6%0.1%133样本较少
107均衡型+54−7.0−15353.3%——0.9010.0%—53.3%0.0%30样本较少
108均衡型+2−5.5−10147.5%——1.0517.5%—52.5%0.0%40样本较少
109稳定型+1−4.8−25944.3%74.5%44.1%1.3217.4%+7.956.9%0.1%109样本较少
110滚雪球型−25−5.3−4357.0%55.3%34.4%0.838.6%+9.846.4%0.1%151样本较少
111稳定型−28−4.9−12443.7%64.4%44.8%1.0815.2%+0.554.3%0.1%105样本较少
112稳定型−32−6.2+14253.7%65.5%44.0%1.068.0%+5.355.2%0.1%163样本较少
113稳定型−44−16.5−50144.6%75.8%42.9%1.2225.5%+1.257.4%0.1%141样本较少
114均衡型−118−9.2−26947.8%——0.8913.0%—52.2%0.0%46样本较少
115滚雪球型−119−12.5−38549.2%58.4%34.8%1.0817.5%−2.847.0%0.1%183样本较少
116均衡型−129−7.6−12045.9%63.9%32.9%1.3217.0%−0.747.2%0.1%159样本较少
117均衡型−175−1.3−42340.0%62.5%28.3%0.9412.0%+4.442.0%0.1%100样本较少
118均衡型−177+4.5−32241.8%60.6%26.1%0.849.8%—42.7%0.0%82样本较少
119均衡型−179−10.2−32848.4%51.6%36.4%0.887.7%—44.6%0.0%65样本较少
120均衡型−198−14.9+6947.4%65.2%39.2%1.2414.3%+0.351.0%0.1%98样本较少
121稳定型−205−0.2−9142.4%74.4%47.2%0.594.3%—58.1%0.1%93样本较少
122稳定型−218−12.5−35145.5%58.3%43.1%1.2813.5%+18.950.4%0.1%133样本较少
123稳定型−255−5.0+12642.1%68.8%42.7%0.795.8%+0.753.7%0.1%190样本较少
124稳定型−275−14.8−52043.4%58.3%46.8%0.739.3%+14.151.2%0.1%86样本较少
125均衡型−323−1.7−58833.3%—13.3%0.914.3%—23.4%0.0%47样本较少
126稳定型−377−3.4−22739.6%60.8%43.4%0.758.9%−8.650.0%0.1%190样本较少
127均衡型−459−11.5−15139.0%68.8%36.0%1.1419.3%—48.2%0.0%83样本较少
128均衡型−465−11.7−23138.2%—26.5%1.0410.9%—40.0%0.0%55样本较少
129后期型−511−5.5−51232.3%56.1%38.4%0.7710.9%+5.343.8%0.1%128样本较少
130均衡型−528−8.8−29836.7%—36.8%0.624.8%—50.8%0.0%63样本较少
131均衡型−552−11.3−83840.5%68.8%29.8%0.8120.3%—45.6%0.0%79样本较少
132后期型−570−26.5−82039.0%75.6%34.4%0.899.5%+2.850.5%0.1%105样本较少
133均衡型−599−13.9−33035.8%—38.2%0.8717.0%—45.3%0.0%53样本较少
134均衡型−607−17.3−40343.5%57.5%36.5%0.948.6%−19.946.2%0.1%93样本较少
135均衡型−623−8.6−66829.2%—29.4%0.656.3%—39.6%0.0%48样本较少
136后期型−627−19.8−33333.3%63.6%37.9%0.9015.2%+4.046.5%0.1%99样本较少
137均衡型−663−17.8−53230.6%——0.588.3%—52.8%0.0%36样本较少
138均衡型−680−6.8−65227.3%——0.7414.7%—32.4%0.0%34样本较少
139均衡型−735−22.8−32538.9%——0.897.9%—50.0%0.0%38样本较少
140均衡型−899−11.3−73125.0%—30.0%0.502.5%—35.0%0.0%40样本较少
141均衡型−1,148−40.8−1,06722.0%—35.9%0.6616.0%—38.0%0.0%50样本较少
142均衡型−1,411−30.8−77014.3%—26.7%0.475.6%—30.6%0.0%36样本较少
143均衡型−1,454−32.4−86614.9%—40.0%0.272.1%—39.6%0.0%48样本较少
MetaBot Desktop

每条对线,按段位拆分,应用内实时查看

桌面端对线期标签页新增黑铁–白银、黄金–铂金和翡翠及以上段位区间、经济领先与后期成长的对线分布图,以及每位英雄优势如何转化为胜利的详细拆解。

  • 段位区间:黑铁–白银、黄金–铂金、翡翠及以上
  • 对线分布图:15 分钟经济领先 vs 后期成长
  • 每位英雄的优势转化率与优势对位
MetaBot 桌面应用对线期标签页,显示中路排行榜和某位英雄的对线档案

26.19 版本中单对线类型

每位英雄都根据自身数据获得一个标签:线霸在 15 分钟时保持明显经济领先,后期型输对线但后期能赢,滚雪球型转化大幅领先的能力远强于翻盘,稳定型则在落后时仍能持续取胜。仅列出 200 场及以上的英雄。

线霸

对线稳定占优,前期就能持续压制对手:15 分钟经济领先在统计上显著。

  1. 刀锋舞者15 分钟经济 +797,68% 的对线领先
  2. 蛮族之王15 分钟经济 +588,63% 的对线领先
  3. 百裂冥犬15 分钟经济 +567,65% 的对线领先
  4. 荒漠屠夫15 分钟经济 +552,69% 的对线领先
  5. 海洋之灾15 分钟经济 +542,64% 的对线领先

滚雪球型

把大幅领先转化为胜利的频率,远高于从落后中翻盘。

  1. 铁血狼母领先 1,000+ 经济时胜率 78%,落后时 34%

后期型

能熬过艰难的对线,游戏越久胜率越高。

  1. 正义天使15 分钟经济 −724,后期胜率提升 +15.1 个百分点
  2. 炽炎雏龙15 分钟经济 −456,后期胜率提升 +14.8 个百分点
  3. 虚空行者15 分钟经济 −418,后期胜率提升 +11.9 个百分点
  4. 寒冰射手15 分钟经济 −615,后期胜率提升 +9.4 个百分点
  5. 铸星龙王15 分钟经济 −641,后期胜率提升 +8.2 个百分点

稳定型

经常能追回劣势,输了对线也很少输掉比赛。

  1. 荆棘之兴落后时赢下 49% 的对局(15 分钟经济 −487)
  2. 深渊巨口落后时赢下 45% 的对局(15 分钟经济 −41)
  3. 虚空恐惧落后时赢下 44% 的对局(15 分钟经济 −113)
  4. 铁铠冥魂落后时赢下 43% 的对局(15 分钟经济 +58)
  5. 复仇焰魂落后时赢下 42% 的对局(15 分钟经济 −289)

如何解读这些数据

对线对手指敌方同位置的玩家。每项差值都是该英雄在 15:00 时间帧的数值减去对手的数值(经济、补刀(小兵加野怪)与经验),在所有对局中取平均并附 95% 置信区间。只有当整个区间位于零的同一侧时才判定为「领先」或「落后」,否则差值处于误差范围内。

对线胜率指 15:00 时拥有任意经济领先的对局占比。领先时与落后时的胜率将同一批对局按该领先拆分,每个比率都附有 Wilson 95% 区间;某一区间需有 30 场对局才会显示数值。1,000 经济区间用于单独观察大幅领先与落后。

单杀统计 15:00 前无助攻击杀对线对手的次数;一血是该玩家拿到一血的对局占比。后期成长为长局胜率减短局胜率,以总体平均对局时长划分,两侧各需 40 场。不足 200 场的英雄带有「样本较少」标记,且不会出现在页面头条。

数据:北美服务器 95,189 场单双排与灵活组排排位对局,26.19 版本,全部段位合并。段位区间按种子玩家的段位分组:黑铁–白银、黄金–铂金、翡翠及以上。排除重开和非排位队列,且仅当每队恰好一名玩家处于该位置时才计入对线。

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LoL 对线期常见问题 - 中单,26.19 版本

26.19 版本哪位中单英雄最常赢下对线?

刀锋舞者 在 26.19 版本拥有最大的中单对线优势:15 分钟时平均领先对线对手 +797 经济和 +21.0 补刀,68% 的对局处于领先(共 2,899 场排位对局)。

「15 分钟经济领先」是什么意思?

指在对局时间线 15 分钟时,该英雄总经济减去对线对手总经济,并在双方都有 15 分钟快照的所有对局中取平均。正值意味着该英雄通常在对线中领先;每页的置信区间说明该领先在统计上是否显著,还是处于噪声范围内。

赢下对线就等于赢下比赛吗?

并不必然。在中单位置,灵罗娃娃 在 70% 的情况下把 15 分钟经济领先转化为胜利,而 时光守护者 在落后开局的对局中仍能赢下 50%。对比「领先时胜率」和「落后时胜率」两列:两者差距大的英雄成败全看对线,差距小的英雄则能承受艰难的对线期。

目前哪些中单英雄是线霸?

在 26.19 版本,样本充足的 27 位中单英雄在 15 分钟时拥有统计上显著的经济领先。最突出的有:刀锋舞者, 蛮族之王, 百裂冥犬, 荒漠屠夫, 海洋之灾。这里的线霸指经济差的整个 95% 置信区间都高于零,而不只是平均值为正。

什么是对线胜率?

指某英雄在 15 分钟时经济领先对线对手(任意幅度)的对局占比。它不考虑领先幅度,因此需与经济差一起看:对线胜率高但平均差值小,说明常以小优势赢下对线;差值大但对线胜率一般,则说明偶尔能碾压对线。

这些数据来自哪里?

来自北美服务器 26.19 版本的 95,189 场单双排与灵活组排排位对局,15 分钟快照取自 Riot 的对局时间线。本页合并全部段位;MetaBot 桌面应用将同一表格拆分为黑铁–白银、黄金–铂金和翡翠及以上。排除重开和非排位队列,且仅当每队恰好一名玩家处于该位置时才计入对线。