Campeões com Maior Taxa de Vitória no Late Game

Esta tabela apresenta os campeões com a maior taxa de vitória no late game em League of Legends, perfeita para jogadores que se destacam em partidas prolongadas. Ela detalha a porcentagem de vitória no late game de cada campeão e a classificação de tier do Metabot do desempenho do patch atual. Esses campeões escalam bem ao longo do tempo, tornando-os as melhores escolhas de late game no LoL para teamfights e objetivos. Seja para carregar nos momentos finais ou fazer uma virada, essas escolhas baseadas em dados oferecem uma vantagem confiável. Domine esses campeões de late game fortes para garantir mais vitórias em jogos longos e estratégicos. Melhores campeões no patch 26.17: Rammus (59.0%), Nilah (57.7%), Kassadin (56.9%). Rammus domina com 56.49% de taxa de vitória e 1.61% de taxa de escolha. Caitlyn mais jogado com 10.11% de taxa de escolha. Os 173 campeões são classificados com dados de partidas ranqueadas ao vivo — ordene qualquer coluna, filtre por rota, elo e divisão e abra um campeão para ver build, runas, counters e confrontos.

Patch
26.17
Maior TV Final
Rammus · 59.0%
Segundo lugar
Nilah · 57.7%
Melhor taxa de vitória
Rammus · 56.5%
Mais jogado
Caitlyn · 10.1%
Partidas analisadas
3.752.350

Top 3 Melhores Campeões que Escalam

Tier MetaBot
Taxas de vitóriasPor minuto
Posição
Campeao
Tier
Taxa de VitoriaTV InicioTV FinalEscalonamentoDano/MinMit/MinCura/MinCC/MinTropas/Min
1S56.5% 0.6%53.2% 1.9%59.0% 2.5%+5.8520 12141 54349 11.6s0.9
2S54.8% 1.9%51.4% 3.7%57.7%+6.4765 11691 17312 60.3s6.6
3C49.8% 1.6%41.8% 0.1%56.9% 3.3%+15.1923 27832 7237 20.2s6.1 0.1
4B51.0% 0.5%43.8% 1.6%56.7% 0.8%+12.9903 8402 9119 40.7s6.4 0.1
5S53.7% 3.8%50.6% 5.4%56.1% 2.2%+5.5702 21849 31198 121.5s5.7 0.1
6A51.3% 2.4%45.8% 2.1%55.6% 1.9%+9.8780 5420 6327 50.3s7.0 0.1
7B50.4% 1.3%45.9% 1.6%55.4% 0.8%+9.5639 191001 8509 80.6s1.4
8B50.4% 0.1%44.3% 2.0%55.2% 1.9%+10.9896 24363 1135 30.3s5.4
9S53.5% 4.4%51.6% 3.0%55.1% 5.6%+3.6700 3486 6353 61.0s1.2
10S52.7% 1.6%50.2% 1.1%55.1% 2.3%+5.0302 21087 1153 31.4s1.0
11C50.2% 0.8%44.7% 5.6%55.1% 6.4%+10.4848 91244 18570 90.4s6.5
12S52.9% 0.7%50.7% 1.9%54.9% 0.4%+4.3366 5447 5604 160.5s1.1
13S56.2% 2.9%58.1% 2.8%54.8% 3.0%-3.21080 16524 22219 10.4s6.4
14A51.5% 0.2%48.4% 0.2%54.7% 0.2%+6.3258 71103 34460 21.4s1.3
15S52.5% 1.0%49.8% 0.6%54.7% 1.1%+4.9344 2630 4112 11.0s1.2 0.1
16S52.6% 0.9%51.0% 2.0%53.8% 3.1%+2.8787 101208 5235 21.5s7.1 0.2
17C49.9% 1.3%46.4% 1.4%53.8% 1.6%+7.4300 8148 5311 130.7s0.5
18S52.1% 0.8%49.9% 3.5%53.5% 1.2%+3.6972 8407 3177 10.4s6.9 0.1
19S52.8% 0.5%52.0% 1.3%53.4% 0.2%+1.4742 261469 32360 80.5s1.3 0.1
20S51.9% 2.1%50.5% 0.3%53.3% 4.3%+2.8204 1329 4398 50.7s1.0
21B50.6% 1.1%47.8% 1.4%53.1% 0.9%+5.3875 8843 63510.3s5.5
22F48.4% 0.3%42.3% 1.1%53.1% 0.3%+10.71202 29447 52200.6s3.0 0.2
23A51.3% 0.1%49.5% 1.2%53.0% 1.3%+3.5880 401653 69599 70.5s5.7
24B50.7% 2.0%47.6% 1.4%53.0% 2.5%+5.4867 8417 1376 21.0s5.0 0.2
25A51.1% 0.5%48.5% 3.2%53.0% 1.5%+4.5891 6391 1104 30.7s6.1 0.1
26S52.4% 0.9%52.1% 0.1%52.7% 1.6%+0.6881 6407 2190 10.6s7.0 0.1
27S52.9% 1.6%53.1% 2.9%52.7% 0.4%-0.4200 2297 6928 91.3s1.0
28C50.0% 3.1%46.8% 3.7%52.6% 2.8%+5.8813 9563 6500 50.4s1.4
29A51.6% 0.1%50.5% 2.0%52.6% 2.0%+2.0373 21253 19128 21.9s1.1
30B50.8% 0.3%48.5% 2.0%52.4% 1.9%+3.8947 21382 1165 30.3s6.1
31C49.6% 1.8%46.5% 4.7%52.3% 0.8%+5.8854 61298 19506 41.0s5.4
32S52.6% 5.5%53.0% 3.4%52.3% 7.1%-0.7668 12038 66329 241.5s 0.11.2 0.3
33A51.8% 1.0%51.1% 4.7%52.3% 1.6%+1.2937 5263 276 11.0s4.6 0.1
34D49.5%45.9% 4.8%52.2% 3.8%+6.3855 2486 21238 101.0s3.1 0.4
35A51.7% 1.1%51.1% 0.6%52.2% 1.5%+1.1351 71031 1114 21.4s1.2
36S52.4% 0.3%52.6% 0.3%52.2% 0.8%-0.4597 121588 381654 41.5s1.5 0.1
37C49.7% 1.5%46.9% 0.3%52.1% 2.3%+5.3744 11059 11671 160.9s1.6 0.1
38C50.2% 0.2%48.1% 2.4%52.1% 2.6%+4.0900 3407 10175 50.3s7.1 0.1
39A51.4% 2.7%50.2% 3.8%52.1% 1.9%+1.91014 16610 12260 20.4s6.9
40A51.3% 0.6%50.2% 0.1%52.1% 0.9%+1.8850 371011 47941 41.0s1.4 0.1
41S52.3% 0.4%52.6% 0.7%52.0%-0.5845 4369 2173 10.7s7.0 0.1
42A51.1% 2.2%49.7% 4.9%52.0% 0.1%+2.3809 61637 24373 132.4s 0.14.7 0.3
43S52.8% 0.3%53.9% 1.1%52.0% 0.2%-1.9858 11480 566 11.8s7.3 0.1
44S52.0% 0.1%51.9% 2.1%52.0% 1.2%+0.1955 2419 8127 11.5s5.9
45A51.7% 1.6%51.4% 0.8%51.9% 2.4%+0.5886 15397 3174 20.0s7.7 0.1
46C49.9% 0.2%47.6% 0.6%51.9% 0.8%+4.2774 6775 5368 40.2s1.5 0.1
47C50.1% 0.9%47.8% 3.1%51.8% 0.7%+4.1789 12937 3533 20.6s1.3
48S52.9% 1.0%54.2% 1.3%51.8% 0.7%-2.4677 101080 13317 110.7s1.7
49S52.9% 1.5%54.4% 3.8%51.7% 0.4%-2.7275 9341 3342 11.3s1.1
50B50.8% 0.6%49.7% 0.2%51.7% 1.4%+2.0348 41437110 11.5s1.1
51A51.4% 2.2%51.2% 3.2%51.7% 1.3%+0.5767 241645 58555 640.7s5.7 0.1
52C49.9% 0.2%47.5% 1.3%51.6% 1.4%+4.1835 12389 2147 20.3s6.2
53D48.5% 0.7%44.5% 1.1%51.6% 0.5%+7.1843 25545 13260 111.2s6.2 0.1
54A51.7% 1.0%52.0% 0.3%51.5% 2.1%-0.5907 61319 3235 31.0s5.7
55A51.9% 1.6%52.4% 1.8%51.5% 1.4%-0.9812 171486 19124 11.2s6.7
56D49.0% 1.3%45.9% 1.8%51.4% 3.7%+5.6810 33556 6369 100.5s0.7
57B50.6% 0.5%49.5% 1.9%51.4% 0.7%+1.9582 41452 13178 41.4s2.2
58D49.0% 1.5%46.4% 0.8%51.3% 3.6%+4.9888 10700 13191 40.9s7.0 0.1
59B50.9% 0.2%50.5% 0.5%51.2%+0.6881 11443 1363 20.5s5.6
60D49.3% 1.3%47.1% 2.6%51.1% 0.2%+4.0645 71525 121201.4s4.7
61A51.4% 0.2%51.7% 0.3%51.1% 0.6%-0.6535 6349 6206 31.3s2.1
62A51.3% 0.1%51.7% 1.3%51.1% 1.2%-0.6648 14335 7413 41.3s2.2 0.3
63A51.6% 0.7%52.1% 1.1%51.1% 0.4%-1.1318 2293 2561 51.1s0.9
64A51.5%51.9% 1.8%51.0% 1.7%-0.9935 14467 8198 70.2s7.5
65S52.6%54.5% 1.0%51.0% 0.7%-3.5416 1355 12292 20.9s2.1 0.1
66S52.6% 1.3%54.3% 3.3%51.0% 0.5%-3.3993 13626 110840.2s6.8
67B50.9% 0.2%50.9%50.9% 0.3%-0.0590 31183 24273 11.4s1.0
68B50.6% 0.3%50.4% 1.1%50.8% 0.3%+0.4865 7372 3213 30.7s6.3
69C49.9% 1.6%48.9% 0.6%50.8% 2.4%+1.9690 101627 19454 61.3s3.1
70A51.5% 1.9%52.3% 2.2%50.7% 1.7%-1.6959 231036 23170.8s6.7
71A51.0% 1.7%51.4% 0.1%50.7% 3.0%-0.7786 5891 25400 21.4s4.4 0.2
72S52.0% 0.6%53.6% 0.7%50.6% 0.4%-3.0680 101262656 111.0s1.5 0.1
73A51.3% 0.8%52.2% 1.4%50.6% 2.6%-1.6834 19429 2147 11.7s6.4
74A51.1% 1.9%52.0% 3.9%50.5% 0.6%-1.5765 5305 599 51.7s2.3
75B50.5% 0.5%50.6% 2.8%50.4% 1.3%-0.2975 14583 1675 11.0s6.6
76A51.9% 4.6%53.6% 3.7%50.4% 5.5%-3.2712 271159 26621 150.7s4.8
77S51.9% 1.6%53.9% 1.0%50.3% 2.0%-3.5940 4509 6101 21.1s5.8 0.1
78S52.0% 0.7%54.2% 1.7%50.3% 0.1%-3.9959 4365 786 11.0s5.7 0.1
79B50.9% 0.8%51.9% 0.3%50.2% 1.4%-1.71021 15382 3940.8s6.1 0.1
80B51.0% 3.1%52.0% 3.2%50.1% 2.8%-1.9400 13467 25211 231.8s 0.10.8
81C49.7% 0.9%49.2% 1.6%50.1% 0.1%+0.8790 13726 1638 50.9s1.4
82C49.8% 0.8%49.6% 1.5%50.0% 2.8%+0.3623 61505 111811.1s4.1
83D48.5% 3.0%47.0% 2.9%49.9% 2.9%+2.9901 34449 3218 40.5s6.6 0.1
84B50.5% 0.3%51.1% 0.4%49.9% 0.9%-1.2608 191316 26322 140.9s1.1
85D49.1% 0.6%48.1% 1.4%49.9% 0.1%+1.8850 12379 1164 10.7s6.7
86C49.7% 0.7%49.4% 0.6%49.9% 0.9%+0.5709 5762 12453 55.9s1.2
87D49.0% 0.7%47.8% 1.2%49.9% 0.4%+2.0798 18370 7173 21.0s6.3 0.1
88B50.9% 0.7%52.4% 1.5%49.8% 0.2%-2.5607 4419 4165 42.0s2.0
89B50.3% 1.6%50.7% 4.5%49.8% 1.3%-0.9243 4347 21261.1s1.0
90B50.6% 0.6%51.6% 2.8%49.8% 1.3%-1.8841 17406 3185 10.2s6.4 0.1
91D49.1% 1.3%48.3% 3.2%49.8% 0.3%+1.5745 7355 41171.5s5.7 0.1
92C50.0%50.3% 0.8%49.7% 0.6%-0.6769 91008 12309 50.7s3.9
93F48.1% 1.0%46.3% 1.1%49.7% 1.0%+3.4377 31490 10102 12.3s1.2
94F48.3% 1.7%46.7% 2.3%49.7% 1.2%+2.9741 7451 1145 21.3s5.8 0.2
95F47.0% 3.8%44.3% 4.0%49.6% 3.5%+5.2261 8979 27247 51.3s1.2
96B50.8% 0.8%52.4% 1.6%49.5% 2.7%-2.9601 111826 50342 71.1s1.5 0.1
97C49.7% 0.3%50.0% 1.7%49.5% 0.8%-0.5786 7741 12174 60.9s3.2
98C50.1% 0.5%50.8% 0.7%49.5% 0.4%-1.3834 121360 14356 40.8s6.6
99D49.4% 0.3%49.4% 0.5%49.5% 1.0%+0.1363 3962 2108 21.6s1.1
100C50.1% 0.4%50.8% 1.3%49.4% 1.7%-1.4747 18786 12417 61.7s2.9 0.1
101D49.1% 0.2%48.8% 0.3%49.4% 0.7%+0.6722 5798 8460 70.6s1.2 0.1
102B50.4% 1.3%51.9% 2.7%49.3% 0.3%-2.6861 6340 1921.1s2.9 0.1
103D49.4% 1.0%49.5% 0.9%49.3% 2.8%-0.2418 9467 1201 21.0s1.6
104A51.3% 2.3%54.5% 4.2%49.2% 1.0%-5.3874 629488 11.0s3.0
105C50.1% 1.9%51.3% 1.9%49.2% 1.9%-2.1726 71640 64124 21.1s4.8 0.1
106F47.3% 2.6%45.1% 2.9%49.2% 2.3%+4.1804 44479 15212 30.3s6.1
107C49.6% 0.2%50.1% 0.1%49.1% 0.3%-1.0880 481366 54559 290.5s5.4 0.1
108C50.1% 0.1%51.4% 1.5%49.1% 1.0%-2.3713 12624 14481 101.6s1.3
109A51.3% 0.2%54.1% 2.1%49.0% 1.4%-5.0852 8462 3127 10.4s5.5
110C50.1% 0.5%51.4% 2.7%49.0% 1.3%-2.5531 21265 47368 72.3s1.8 0.1
111F46.4% 0.6%43.0% 2.5%48.9% 1.0%+5.9910 14508 1289 40.4s6.8 0.1
112D49.1% 2.2%49.4% 1.2%48.9% 2.9%-0.4791 11589 5426 30.3s0.8
113D49.1% 0.1%49.2% 1.5%48.9% 1.6%-0.3807 11848 3390 10.8s3.3 0.1
114D48.6% 1.5%48.2% 2.1%48.9% 1.1%+0.6790 182455 155343 81.5s5.9
115D49.2% 0.1%49.6% 0.1%48.8% 0.1%-0.8815 161034 41740.3s3.7
116F48.1% 1.1%47.3% 1.2%48.8% 2.9%+1.5860 1313 293 11.3s5.0
117D49.3% 2.0%49.9% 2.6%48.7% 1.4%-1.2328 21508 20389 82.0s1.2
118B50.9% 1.0%53.5% 4.6%48.7% 2.0%-4.8846 41162 17546 20.5s6.0 0.2
119B50.2% 0.2%52.3% 0.4%48.7%-3.6884 8555 6159 10.9s5.9
120C49.8% 0.1%51.1% 1.9%48.7% 1.5%-2.4835 61048 18264 60.8s6.9
121D49.5% 1.4%50.4% 0.5%48.6% 2.0%-1.8564 21080 47572 21.2s1.0
122D49.4% 0.3%50.6% 0.7%48.6%-2.0886 14587197 20.1s5.7
123C49.7% 0.8%51.1% 0.5%48.6% 1.0%-2.5861 21166 18542 230.8s5.3 0.2
124F47.0% 1.6%45.2% 5.9%48.5% 1.9%+3.3440 7609 1229 61.8s1.1
125F48.3% 0.1%48.1% 0.3%48.5% 0.4%+0.4707 3421 1238 10.9s1.0 0.1
126B50.4% 0.4%53.1% 1.8%48.5% 0.5%-4.6760 7367 364 11.6s3.4 0.1
127C49.9% 0.4%51.5% 0.5%48.4% 0.2%-3.0879 8500 2166 10.1s6.9
128A51.4% 1.4%55.7% 2.1%48.4% 0.8%-7.3100230069 10.6s6.2 0.2
129B50.3% 1.0%52.3% 4.7%48.4% 2.5%-3.9686 51527 41420 21.0s2.2 0.2
130D48.7% 0.1%49.2% 0.6%48.2% 0.7%-1.1786 21473 20340 21.0s4.7 0.1
131F47.9% 0.2%47.5% 0.4%48.1% 0.8%+0.6842 41002 22211 51.3s6.1 0.1
132F48.2% 0.7%48.4% 1.1%48.1% 0.3%-0.3938 6627 11207 80.1s5.8
133F48.2% 0.4%48.4%48.1% 0.7%-0.4955 4541 9178 20.3s5.1
134F48.4% 0.9%49.0% 0.3%48.0% 1.4%-1.0465 2448 1182 11.0s1.2
135F48.0% 3.4%48.0% 2.3%48.0% 4.3%-0.0646 311152 19277 121.0s1.1
136F47.2% 0.7%46.5% 0.3%48.0% 1.3%+1.5866 11260 9300 30.5s5.1
137D48.5% 1.6%49.4% 0.9%47.9% 3.3%-1.5936 2917 11290.6s5.8
138F47.3% 0.5%46.6% 3.4%47.9% 4.2%+1.3694 211252 17226 101.1s6.0
139F47.8% 2.6%47.9% 2.5%47.7% 2.6%-0.1918 16317 1811.3s6.7
140F45.7% 2.0%43.6% 0.4%47.6% 4.2%+4.0836 33530 12218 50.8s3.4 0.1
141F47.6% 2.0%47.8% 4.4%47.5% 0.2%-0.4850 19644 4346 60.2s2.8 0.2
142B50.4% 0.7%54.1% 1.1%47.2% 2.2%-6.8866 5975 11362 30.3s6.8 0.1
143D49.0% 5.3%51.0% 9.1%47.2% 2.2%-3.8924 10648 27161 70.5s5.8 0.1
144C49.5% 1.5%51.9% 1.8%47.2% 1.2%-4.8862 241221413 30.6s7.6 0.1
145F47.8% 0.4%48.6% 1.3%47.1% 0.4%-1.4897572 91600.1s5.9
146F47.0% 0.7%46.8% 2.4%47.1% 0.6%+0.3857 16443 2197 60.0s6.7
147F47.4% 1.3%47.8% 1.8%47.1% 0.9%-0.7764 171195 20304 40.8s5.9 0.1
148F47.6% 3.2%48.4% 2.8%47.0% 3.5%-1.3801 17692 12308 50.7s1.7
149F47.3% 0.3%47.6% 0.6%47.0%-0.6878 19589 6299 50.1s6.4
150D48.8% 0.8%50.8% 1.3%47.0% 0.3%-3.8650 41262 4448 70.8s1.0
151F48.0% 0.6%49.2% 0.5%47.0% 0.6%-2.2916 4505 12200 20.4s6.6
152D49.5% 1.3%52.7% 5.4%46.9% 2.0%-5.9992 43470 5163 80.0s6.8
153F48.2% 0.9%49.8% 2.3%46.8% 0.4%-3.0771 371044 41249 110.8s4.0 0.3
154F48.0% 3.2%49.9% 2.2%46.5% 4.1%-3.4788 24779 3396 70.7s3.5 0.3
155F47.7% 0.7%49.7% 0.8%46.3% 0.5%-3.5906 35372 41340.6s5.5 0.1
156B50.5% 0.2%55.8% 0.1%46.2% 0.9%-9.61003 151438 20380 80.3s6.7 0.1
157F46.6% 2.4%47.2% 2.9%46.2% 2.0%-1.0820 12383 783 11.2s5.3 0.4
158F48.3% 0.1%51.2% 2.6%45.8% 2.0%-5.4855 4381 2123 21.3s 0.15.2 0.1
159D49.2% 4.2%53.4% 4.6%45.6% 3.3%-7.7846 141334 10256 60.4s5.8
160F48.3% 4.2%51.6% 4.6%45.6% 3.9%-6.0845 51426 24198 41.0s6.3
161F48.1% 1.9%51.1%45.5% 3.6%-5.5788 38654 3314 120.2s3.4 0.4
162F46.5% 1.1%47.5% 1.5%45.5% 3.4%-2.0647 51037 31673 111.1s1.1 0.1
163F47.0% 1.8%49.1% 4.7%45.5% 0.3%-3.6657 12358 1101 11.5s2.7
164D49.2% 0.7%53.7% 1.6%45.4% 2.7%-8.3746 20516 12169 31.6s5.8 0.2
165F47.3% 0.1%49.4% 1.7%45.3% 1.4%-4.1833 15604 18389 240.5s5.0 0.6
166F47.4% 1.0%49.3% 0.6%45.3% 1.3%-4.0699 261230 14622 10.8s1.2 0.1
167F45.2% 1.6%45.4% 3.0%45.1% 0.3%-0.3790 23456 389 10.8s6.4 0.1
168F42.8% 2.1%40.2% 0.9%44.8% 3.5%+4.5710 4597 5558 120.2s1.2
169F48.2% 1.6%51.6% 1.6%44.6% 1.5%-7.1886 16558 8204 50.4s6.8 0.1
170F45.8% 3.5%48.1% 0.4%44.2% 5.7%-3.9869 15429 7152 30.9s6.5
171F46.2% 0.9%48.7% 0.8%44.0% 0.9%-4.7935 18420 9211 50.1s6.4 0.1
172F46.2% 3.1%49.1% 8.4%43.7% 1.2%-5.4742 82014 38236 21.5s6.1 0.1
173F42.4% 0.7%41.6% 2.9%43.1% 3.4%+1.5769 3595 7425 80.5s1.3
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FAQ de Campeões com Maior Taxa de Vitória no Late Game - Patch 26.17

Qual campeão de LoL tem o maior tv final?

Rammus tem o maior tv final no patch 26.17, com 59.0%, à frente de Nilah (57.7%) e Kassadin (56.9%).

Como o tv final é medido?

Taxa de vitórias no fim de jogo. O número é uma média de todas as partidas ranqueadas registradas no patch 26.17 (3.752.350 partidas), nos filtros de ranque e rota selecionados.

Qual campeão com alto tv final tem a melhor taxa de vitória?

Entre os 10 campeões com maior tv final, Rammus tem a melhor taxa de vitória, 56.5%, no patch 26.17.