Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.7 |
| Last updated | 2 days 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, Swain 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 | 55.1% | 0.2% | 1.3% | 3 844 |      | ||
2 | |  | — | Optimal | 54.7% | 1.4% | 4.7% | 26 389 |  | ||
3 | |  | — | Optimal | 54.6% | 1.1% | 6.2% | 21 124 |  | ||
4 | |  | — | Optimal | 54.5% | 0.6% | 6.5% | 10 838 |   | ||
5 | |  | — | Optimal | 54.2% | 0.4% | 1.5% | 7 507 |  | ||
6 | | | — | Optimal | 53.7% | 1.5% | 2.6% | 28 360 |  | ||
7 | | | — | Optimal | 51.9% | 9.5% | 5.4% | 181 651 |  | ||
8 | | | — | Optimal | 51.8% | 16.0% | 6.3% | 304 258 | | ||
9 | | | — | Optimal | 51.7% | 15.4% | 5.7% | 293 467 | | ||
10 | | | — | Optimal | 51.1% | 14.4% | 5.3% | 273 600 | | ||
11 | |  | — | Optimal | 50.4% | 22.3% | 33.4% | 425 315 |  | ||
12 | |  | — |  Great | 52.9% | 1.7% | 0.5% | 31 709 | | ||
13 | | | — | Great | 52.6% | 1.6% | 0.6% | 29 633 |   | ||
14 | |  | — | Great | 51.9% | 0.2% | 0.3% | 4 230 |  | ||
15 | | | — | Great | 51.8% | 1.7% | 0.8% | 31 575 |  | ||
16 | | | — | Great | 51.2% | 3.8% | 0.7% | 72 878 | | ||
17 | | | — | Great | 51.2% | 6.3% | 12.3% | 120 317 |  | ||
18 | | | — | Great | 51.1% | 5.3% | 7.1% | 101 458 | | ||
19 | | | — | Great | 50.8% | 7.3% | 11.5% | 139 626 |  | ||
20 | | | — | Great | 50.1% | 17.2% | 3.5% | 327 976 | | ||
21 | |  | — |  Good | 51.5% | 1.1% | 24.2% | 20 844 | | ||
22 | | | — | Good | 50.2% | 4.2% | 2.4% | 80 122 | | ||
23 | | | — | Good | 49.1% | 13.0% | 2.0% | 248 323 | | ||
24 | |  | — |  Situational | 50.4% | 0.1% | 1.0% | 2 555 |  | ||
25 | | | — | Situational | 47.9% | 15.5% | 5.7% | 294 370 | | ||
26 | |  | — |  Not Good | 49.7% | 1.4% | 0.2% | 26 920 | | ||
27 | |  | — | Not Good | 49.6% | 1.1% | 48.0% | 20 837 |  | ||
28 | | | — | Not Good | 49.3% | 3.6% | 2.2% | 69 152 | | ||
29 | | | — | Not Good | 49.0% | 5.4% | 2.0% | 102 800 | | ||
30 | | | — | Not Good | 48.6% | 3.4% | 8.0% | 65 023 | | ||
31 | | | — | Not Good | 47.9% | 6.1% | 2.6% | 115 815 | | ||
32 | | | — | Not Good | 47.9% | 1.9% | 0.4% | 35 539 | | ||
33 | | | — | Not Good | 47.8% | 5.6% | 1.5% | 106 933 | | ||
34 | |  | — | Not Good | 47.1% | 3.8% | 2.3% | 71 706 | | ||
35 | |  | — | Not Good | 47.0% | 1.3% | 0.3% | 24 390 | | ||