Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.6 |
| Last updated | 8 hours ago |
Based on the matches analyzed in Patch 26.6, the top 5 highest win rate champions up to low Diamond are Sion Mid, Veigar Bot, Swain Bot, Hwei Bot, and Aurelion Sol 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 | 54.7% | 1.5% | 4.8% | 17 522 |      | ||
2 | |  | — | Optimal | 54.6% | 0.9% | 6.3% | 9 895 |   | ||
3 | |  | — | Optimal | 54.4% | 0.2% | 1.4% | 2 295 |    | ||
4 | |  | — | Optimal | 53.9% | 0.4% | 1.5% | 4 470 |   | ||
5 | |  | — | Optimal | 53.9% | 0.7% | 6.5% | 7 787 |     | ||
6 | | | — | Optimal | 53.2% | 1.7% | 3.0% | 20 050 |  | ||
7 | | | — | Optimal | 52.9% | 1.7% | 0.5% | 19 449 | | ||
8 | | | — | Optimal | 52.0% | 16.1% | 6.6% | 187 515 | | ||
9 | | | — | Optimal | 51.7% | 9.3% | 5.4% | 107 831 |  | ||
10 | | | — | Optimal | 51.2% | 16.0% | 6.3% | 186 256 | | ||
11 | | | — | Optimal | 50.5% | 16.9% | 3.3% | 196 448 | | ||
12 | |  | — | Optimal | 50.3% | 22.7% | 33.1% | 264 400 | | ||
13 | |  | — |  Great | 52.5% | 0.2% | 0.2% | 1 858 | | ||
14 | | | — | Great | 51.9% | 1.6% | 0.8% | 18 947 |   | ||
15 | |  | — | Great | 51.8% | 1.1% | 24.1% | 12 540 |  | ||
16 | | | — | Great | 51.7% | 1.5% | 0.6% | 17 849 |  | ||
17 | | | — | Great | 51.2% | 7.3% | 10.7% | 85 284 | | ||
18 | | | — | Great | 51.1% | 6.5% | 12.4% | 75 080 | | ||
19 | | | — | Great | 51.1% | 5.1% | 7.2% | 59 714 | | ||
20 | | | — | Great | 50.9% | 12.3% | 3.8% | 142 768 | | ||
21 | | | — |  Good | 50.7% | 4.4% | 2.6% | 50 692 | | ||
22 | | | — | Good | 50.6% | 4.3% | 0.7% | 49 832 | | ||
23 | | | — | Good | 48.9% | 13.7% | 2.2% | 159 361 | | ||
24 | |  | — |  Situational | 50.4% | 1.5% | 0.2% | 17 308 | | ||
25 | |  | — | Situational | 48.0% | 15.5% | 5.5% | 180 189 | | ||
26 | |  | — |  Not Good | 49.8% | 1.0% | 41.8% | 12 111 | | ||
27 | | | — | Not Good | 49.3% | 4.1% | 2.9% | 47 276 | | ||
28 | | | — | Not Good | 49.0% | 5.5% | 2.0% | 64 549 | | ||
29 | | | — | Not Good | 48.8% | 3.4% | 7.9% | 39 513 | | ||
30 | | | — | Not Good | 48.1% | 5.8% | 1.7% | 67 628 | | ||
31 | | | — | Not Good | 48.0% | 1.9% | 0.4% | 22 625 | | ||
32 | | | — | Not Good | 47.7% | 6.1% | 2.6% | 70 945 | | ||
33 | |  | — | Not Good | 47.2% | 0.1% | 0.9% | 1 498 | | ||
34 | | | — | Not Good | 47.1% | 3.8% | 3.1% | 43 651 | | ||
35 | |  | — | Not Good | 46.9% | 1.0% | 0.2% | 11 214 | | ||