Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.7 |
| Last updated | 14 hours ago |
Based on the matches analyzed in Patch 26.7, the top 5 highest win rate champions up to low Diamond are Sion Mid, Hwei Bot, Veigar Bot, Aurelion Sol Bot, and Brand 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% | 0.2% | 1.3% | 3 392 |      | ||
2 | |  | — | Optimal | 54.8% | 1.4% | 4.8% | 23 545 |   | ||
3 | |  | — | Optimal | 54.6% | 0.4% | 1.5% | 6 575 |   | ||
4 | |  | — | Optimal | 54.4% | 0.6% | 6.5% | 9 635 |   | ||
5 | |  | — | Optimal | 54.4% | 1.1% | 6.1% | 18 239 |  | ||
6 | | | — | Optimal | 53.7% | 1.5% | 2.7% | 24 956 | | ||
7 | | | — | Optimal | 51.9% | 9.6% | 5.4% | 159 802 |  | ||
8 | | | — | Optimal | 51.9% | 16.0% | 6.3% | 267 879 | | ||
9 | | | — | Optimal | 51.7% | 15.5% | 5.7% | 258 704 | | ||
10 | | | — | Optimal | 51.0% | 14.3% | 5.2% | 239 586 | | ||
11 | | | — | Optimal | 50.4% | 22.4% | 33.6% | 373 704 |  | ||
12 | |  | — |  Great | 52.7% | 1.7% | 0.5% | 27 979 | | ||
13 | | | — | Great | 52.5% | 1.5% | 0.6% | 25 791 |   | ||
14 | |  | — | Great | 51.9% | 0.2% | 0.3% | 3 784 |  | ||
15 | | | — | Great | 51.8% | 1.6% | 0.8% | 27 580 |  | ||
16 | | | — | Great | 51.3% | 3.8% | 0.7% | 64 351 | | ||
17 | | | — | Great | 51.2% | 6.3% | 12.3% | 105 458 |  | ||
18 | | | — | Great | 51.2% | 5.4% | 7.1% | 89 708 | | ||
19 | | | — | Great | 50.8% | 7.4% | 11.4% | 123 406 |  | ||
20 | | | — | Great | 50.1% | 17.2% | 3.5% | 287 938 | | ||
21 | |  | — |  Good | 51.6% | 1.1% | 24.2% | 18 433 | | ||
22 | | | — | Good | 50.2% | 4.2% | 2.3% | 70 819 | | ||
23 | | | — | Good | 49.1% | 13.0% | 2.0% | 217 778 | | ||
24 | |  | — |  Situational | 47.8% | 15.2% | 5.6% | 254 694 | | ||
25 | |  | — |  Not Good | 50.1% | 0.1% | 1.0% | 2 248 |  | ||
26 | |  | — | Not Good | 49.7% | 1.4% | 0.2% | 23 687 | | ||
27 | |  | — | Not Good | 49.5% | 1.1% | 47.9% | 18 448 | | ||
28 | | | — | Not Good | 49.1% | 3.6% | 2.2% | 60 425 | | ||
29 | | | — | Not Good | 49.0% | 5.4% | 2.0% | 90 363 | | ||
30 | | | — | Not Good | 48.5% | 3.4% | 8.0% | 57 073 | | ||
31 | | | — | Not Good | 48.1% | 1.9% | 0.4% | 31 294 | | ||
32 | | | — | Not Good | 47.9% | 6.1% | 2.6% | 101 899 | | ||
33 | | | — | Not Good | 47.7% | 5.6% | 1.4% | 92 905 | | ||
34 | |  | — | Not Good | 47.1% | 3.7% | 2.3% | 62 605 | | ||
35 | |  | — | Not Good | 46.9% | 1.3% | 0.3% | 21 336 | | ||