Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.12 |
| Last updated | 3 hours ago |
Based on the matches analyzed in Patch 26.12, the top 5 highest win rate champions up to low Diamond are Karthus Bot, Seraphine Bot, Veigar Bot, Senna 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 | 55.5% | 0.3% | 0.3% | 2 708 |      | ||
2 | |  | — | Optimal | 54.9% | 0.8% | 9.0% | 8 050 |     | ||
3 | |  | — | Optimal | 54.9% | 1.0% | 3.6% | 10 049 |   | ||
4 | | | — | Optimal | 54.9% | 12.7% | 9.9% | 126 731 |    | ||
5 | |  | — | Optimal | 54.3% | 0.3% | 2.0% | 3 471 |  | ||
6 | |  | — | Optimal | 54.1% | 0.8% | 4.3% | 7 690 | | ||
7 | |  | — | Optimal | 54.1% | 0.3% | 0.9% | 3 013 |   | ||
8 | | | — | Optimal | 54.0% | 2.4% | 16.3% | 24 230 | | ||
9 | |  | — | Optimal | 53.8% | 0.5% | 2.0% | 5 227 | | ||
10 | | | — | Optimal | 51.9% | 7.8% | 11.9% | 78 436 | | ||
11 | | | — | Optimal | 51.3% | 12.8% | 3.4% | 127 865 |  | ||
12 | | | — | Optimal | 51.1% | 14.1% | 4.3% | 141 105 | | ||
13 | | | — | Optimal | 49.9% | 21.7% | 27.6% | 217 758 | | ||
14 | |  | — |  Great | 52.8% | 1.5% | 0.3% | 15 212 | | ||
15 | |  | — | Great | 52.8% | 1.1% | 25.6% | 10 732 | | ||
16 | | | — | Great | 52.7% | 1.9% | 0.7% | 18 696 | | ||
17 | |  | — | Great | 52.6% | 1.2% | 1.8% | 12 177 |  | ||
18 | | | — | Great | 51.2% | 5.2% | 6.5% | 51 834 | | ||
19 | |  | — | Great | 50.4% | 12.9% | 7.1% | 128 692 | | ||
20 | | | — | Great | 49.9% | 16.3% | 3.0% | 162 932 | | ||
21 | |  | — |  Good | 51.6% | 0.4% | 8.4% | 3 995 |  | ||
22 | | | — | Good | 50.7% | 3.4% | 0.4% | 33 910 | | ||
23 | | | — | Good | 50.5% | 6.0% | 10.7% | 60 468 | | ||
24 | | | — | Good | 50.3% | 7.3% | 2.6% | 72 767 | | ||
25 | |  | — |  Situational | 50.4% | 1.1% | 21.9% | 11 095 | | ||
26 | | | — | Situational | 50.2% | 3.7% | 1.2% | 36 618 | | ||
27 | | | — | Situational | 49.9% | 2.3% | 0.3% | 23 357 | | ||
28 | | | — | Situational | 49.7% | 6.4% | 11.3% | 64 101 | | ||
29 | | | — | Situational | 48.6% | 10.7% | 1.3% | 107 110 | | ||
30 | | | — |  Not Good | 49.0% | 3.4% | 1.3% | 34 117 | | ||
31 | |  | — | Not Good | 47.9% | 1.3% | 33.8% | 12 668 | | ||
32 | | | — | Not Good | 47.8% | 3.8% | 1.2% | 37 570 | | ||
33 | |  | — | Not Good | 47.8% | 6.3% | 1.7% | 62 694 | | ||
34 | |  | — | Not Good | 47.7% | 3.2% | 7.3% | 31 820 | | ||
35 | |  | — | Not Good | 47.4% | 1.4% | 0.3% | 13 660 | | ||
36 | | | — | Not Good | 47.3% | 13.9% | 5.1% | 139 003 | | ||
37 | |  | — | Not Good | 47.0% | 0.9% | 0.3% | 8 925 | | ||
38 | | | — | Not Good | 46.8% | 3.9% | 2.2% | 39 533 | | ||