Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.13 |
| Last updated | 4 days ago |
Based on the matches analyzed in Patch 26.13, the top 5 highest win rate champions up to low Diamond are Seraphine Bot, Xerath Bot, Swain Bot, Shyvana Jungle, and Nasus Jungle. By picking and mastering these champions, you will have a much higher chance of winning games in the current patch. Furthermore, if you're interested in tier list curated by our high elo players, please refer to our low elo and high elo tier lists.
Rank | Role | Champion | Changes | Tier | Win | Pick | Ban | Matches | Counters | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
1 |  |  | — |  Optimal | 49.8% | 22.3% | 27.4% | 398 768 |      | ||
2 | |  | — |  Great | 49.9% | 16.5% | 3.1% | 294 942 |   | ||
3 | |  | — | Optimal | 51.4% | 15.0% | 4.2% | 269 126 | | ||
4 | |  | — |  Not Good | 47.1% | 13.6% | 4.8% | 243 415 |  | ||
5 | | | — | Optimal | 51.6% | 13.0% | 3.4% | 232 486 | | ||
6 | |  | — | Great | 50.4% | 12.3% | 6.0% | 220 945 |  | ||
7 | |  | — |  Good | 49.0% | 12.3% | 1.5% | 220 298 |  | ||
8 | | | — | Optimal | 53.7% | 8.2% | 16.0% | 146 864 |  | ||
9 | | | — | Good | 50.3% | 8.1% | 3.2% | 145 717 |  | ||
10 | | | — | Optimal | 52.5% | 6.7% | 6.4% | 120 242 | | ||
11 | |  | — | Not Good | 48.0% | 6.3% | 1.6% | 112 747 | | ||
12 | | | — | Great | 50.9% | 6.1% | 10.9% | 109 205 |  | ||
13 | | | — | Good | 50.2% | 6.1% | 10.4% | 108 535 | | ||
14 | | | — | Great | 51.3% | 5.3% | 6.9% | 95 530 | | ||
15 | | | — |  Situational | 49.9% | 4.6% | 1.8% | 82 424 | | ||
16 | |  | — | Not Good | 47.3% | 3.9% | 1.2% | 70 412 | | ||
17 | | | — | Good | 50.4% | 3.8% | 1.2% | 67 697 | | ||
18 | | | — | Good | 50.7% | 3.4% | 0.4% | 61 307 | | ||
19 | |  | — | Not Good | 48.6% | 3.4% | 7.7% | 60 944 |  | ||
20 | |  | — | Not Good | 47.0% | 3.2% | 1.4% | 57 478 | | ||
21 | | | — | Situational | 50.3% | 2.3% | 0.3% | 40 553 | | ||
22 | | | — | Great | 52.4% | 2.2% | 0.8% | 39 005 | | ||
23 | | | — | Optimal | 53.4% | 1.8% | 14.1% | 31 400 | | ||
24 | |  | — | Not Good | 47.4% | 1.7% | 29.3% | 30 229 | | ||
25 | |  | — | Great | 52.7% | 1.6% | 0.3% | 28 244 | | ||
26 | |  | — | Not Good | 47.7% | 1.5% | 0.3% | 27 139 | | ||
27 | | | — | Optimal | 53.2% | 1.3% | 1.8% | 23 793 | | ||
28 | |  | — | Optimal | 55.2% | 1.3% | 11.1% | 23 069 | | ||
29 | |  | — | Good | 51.3% | 1.2% | 19.4% | 22 102 | | ||
30 | |  | — | Optimal | 53.7% | 1.0% | 2.9% | 17 633 | | ||
31 | |  | — | Not Good | 47.4% | 0.8% | 0.2% | 14 029 | | ||
32 | |  | — | Optimal | 54.0% | 0.8% | 4.3% | 13 479 | | ||
33 | |  | — | Optimal | 53.5% | 0.6% | 22.1% | 10 324 | | ||
34 | |  | — | Optimal | 53.2% | 0.5% | 1.6% | 9 093 | | ||
35 | |  | — | Optimal | 54.9% | 0.5% | 11.7% | 8 195 | | ||
36 | |  | — | Optimal | 53.4% | 0.4% | 2.1% | 6 932 | | ||
37 | |  | — | Great | 52.8% | 0.4% | 6.9% | 6 822 | | ||
38 | |  | — | Great | 52.9% | 0.3% | 0.8% | 5 365 | | ||
39 | |  | — | Great | 53.1% | 0.3% | 3.7% | 4 481 | | ||
40 | |  | — | Great | 52.8% | 0.2% | 0.2% | 4 008 | | ||
41 | |  | — | Not Good | 47.4% | 0.1% | 1.0% | 2 286 | | ||