Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.6 |
| Last updated | 16 hours ago |
Based on the matches analyzed in Patch 26.6, the top 5 highest win rate champions up to low Diamond are Veigar Bot, Sion Mid, Swain Bot, Brand Bot, and Vel'Koz Bot. 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 | 55.0% | 1.5% | 4.9% | 38 500 |      | ||
2 | |  | — | Optimal | 54.0% | 0.8% | 6.1% | 21 157 |   | ||
3 | |  | — | Optimal | 54.0% | 0.7% | 6.6% | 16 973 |    | ||
4 | |  | — | Optimal | 53.9% | 0.2% | 1.6% | 6 032 |   | ||
5 | |  | — | Optimal | 53.7% | 0.4% | 1.4% | 10 064 |  | ||
6 | |  | — | Optimal | 53.5% | 0.2% | 1.4% | 5 208 |  | ||
7 | |  | — | Optimal | 53.2% | 1.7% | 0.5% | 42 101 |    | ||
8 | | | — | Optimal | 52.9% | 1.7% | 3.0% | 43 811 | | ||
9 | | | — | Optimal | 52.0% | 9.4% | 5.4% | 240 419 | | ||
10 | | | — | Optimal | 51.9% | 16.2% | 6.6% | 412 251 | | ||
11 | | | — | Optimal | 51.4% | 15.8% | 6.0% | 402 150 | | ||
12 | | | — | Optimal | 50.5% | 17.1% | 3.4% | 435 775 | | ||
13 | | | — | Optimal | 50.4% | 22.3% | 33.3% | 569 515 |  | ||
14 | | | — |  Great | 52.2% | 1.6% | 0.6% | 39 948 |  | ||
15 | | | — | Great | 52.1% | 1.6% | 0.8% | 40 966 |  | ||
16 | |  | — | Great | 51.9% | 0.2% | 0.3% | 4 727 | | ||
17 | |  | — | Great | 51.7% | 1.1% | 24.2% | 28 197 | | ||
18 | | | — | Great | 51.3% | 5.2% | 7.1% | 133 239 | | ||
19 | | | — | Great | 51.3% | 6.4% | 12.3% | 163 674 | | ||
20 | | | — | Great | 51.1% | 7.2% | 10.8% | 184 703 | | ||
21 | | | — | Great | 51.0% | 13.0% | 4.2% | 330 541 | | ||
22 | | | — |  Good | 50.8% | 4.6% | 2.5% | 116 658 | | ||
23 | | | — | Good | 50.7% | 4.2% | 0.7% | 106 498 | | ||
24 | | | — | Good | 48.9% | 13.6% | 2.2% | 346 479 | | ||
25 | |  | — |  Situational | 50.4% | 1.5% | 0.2% | 37 801 | | ||
26 | |  | — | Situational | 50.0% | 1.1% | 43.2% | 26 953 | | ||
27 | |  | — | Situational | 47.9% | 15.4% | 5.6% | 392 437 | | ||
28 | | | — |  Not Good | 49.2% | 4.0% | 2.8% | 101 083 | | ||
29 | | | — | Not Good | 48.8% | 5.4% | 2.0% | 138 587 | | ||
30 | | | — | Not Good | 48.5% | 3.4% | 7.9% | 86 843 | | ||
31 | |  | — | Not Good | 48.0% | 5.6% | 1.6% | 143 120 | | ||
32 | | | — | Not Good | 47.7% | 6.0% | 2.5% | 151 829 | | ||
33 | | | — | Not Good | 47.5% | 1.9% | 0.4% | 49 293 | | ||
34 | |  | — | Not Good | 46.9% | 3.8% | 2.9% | 97 440 | | ||
35 | |  | — | Not Good | 46.5% | 0.1% | 0.9% | 3 224 | | ||
36 | |  | — | Not Good | 46.4% | 1.0% | 0.2% | 25 659 | | ||