Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.12 |
| Last updated | a day 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, Senna Bot, Veigar 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 | 55.3% | 0.3% | 0.3% | 3 175 |      | ||
2 | |  | — | Optimal | 54.9% | 0.8% | 9.1% | 9 540 |    | ||
3 | | | — | Optimal | 54.8% | 13.1% | 10.7% | 153 349 |    | ||
4 | |  | — | Optimal | 54.8% | 1.0% | 3.5% | 11 792 |    | ||
5 | | | — | Optimal | 54.1% | 2.4% | 16.4% | 28 232 |  | ||
6 | |  | — | Optimal | 54.1% | 0.3% | 2.0% | 4 079 |  | ||
7 | |  | — | Optimal | 54.1% | 0.8% | 4.3% | 8 991 | | ||
8 | |  | — | Optimal | 53.9% | 0.3% | 0.9% | 3 499 |  | ||
9 | |  | — | Optimal | 53.6% | 0.5% | 2.0% | 6 177 | | ||
10 | |  | — | Optimal | 53.1% | 1.5% | 0.3% | 17 750 | | ||
11 | | | — | Optimal | 52.0% | 7.8% | 11.7% | 90 936 | | ||
12 | | | — | Optimal | 51.4% | 12.7% | 3.4% | 149 300 |  | ||
13 | | | — | Optimal | 51.0% | 14.1% | 4.3% | 165 115 | | ||
14 | | | — | Optimal | 49.9% | 21.6% | 27.6% | 253 493 | | ||
15 | |  | — |  Great | 52.8% | 1.0% | 25.5% | 12 138 | | ||
16 | |  | — | Great | 52.5% | 1.2% | 1.8% | 14 327 |  | ||
17 | | | — | Great | 52.5% | 1.9% | 0.7% | 21 964 | | ||
18 | | | — | Great | 51.3% | 5.2% | 6.6% | 60 733 | | ||
19 | |  | — | Great | 50.4% | 12.8% | 7.0% | 150 000 | | ||
20 | | | — | Great | 49.9% | 16.2% | 3.0% | 190 026 | | ||
21 | |  | — |  Good | 51.6% | 0.4% | 8.4% | 4 700 |  | ||
22 | | | — | Good | 50.6% | 3.4% | 0.4% | 39 545 | | ||
23 | | | — | Good | 50.4% | 6.0% | 10.6% | 70 544 | | ||
24 | | | — | Good | 50.2% | 7.3% | 2.7% | 85 011 | | ||
25 | |  | — |  Situational | 50.4% | 1.1% | 21.9% | 12 959 | | ||
26 | | | — | Situational | 50.1% | 3.7% | 1.2% | 43 189 | | ||
27 | | | — | Situational | 50.0% | 2.3% | 0.3% | 26 935 | | ||
28 | | | — | Situational | 49.6% | 6.4% | 11.3% | 74 748 | | ||
29 | | | — | Situational | 48.6% | 10.7% | 1.3% | 124 809 | | ||
30 | | | — |  Not Good | 49.1% | 3.4% | 1.3% | 39 756 | | ||
31 | |  | — | Not Good | 48.1% | 1.3% | 33.8% | 14 852 | | ||
32 | |  | — | Not Good | 47.9% | 3.8% | 1.2% | 44 320 | | ||
33 | |  | — | Not Good | 47.8% | 6.2% | 1.7% | 72 779 | | ||
34 | | | — | Not Good | 47.6% | 3.2% | 7.3% | 37 223 | | ||
35 | |  | — | Not Good | 47.4% | 1.4% | 0.3% | 16 772 | | ||
36 | | | — | Not Good | 47.3% | 13.8% | 5.1% | 161 593 | | ||
37 | | | — | Not Good | 46.8% | 3.9% | 2.2% | 45 534 | | ||
38 | |  | — | Not Good | 46.5% | 0.9% | 0.3% | 10 419 | | ||