Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.13 |
| Last updated | 3 days ago |
Based on the matches analyzed in Patch 26.13, the top 5 highest win rate champions up to low Diamond are Seraphine Bot, Swain Bot, Katarina Bot, Gwen Mid, 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 | 55.4% | 1.0% | 10.3% | 6 916 |      | ||
2 | |  | — | Optimal | 54.7% | 0.7% | 4.3% | 4 940 |     | ||
3 | |  | — | Optimal | 54.6% | 0.4% | 7.3% | 2 636 |     | ||
4 | |  | — | Optimal | 54.3% | 0.4% | 2.1% | 2 630 |    | ||
5 | |  | — | Optimal | 54.1% | 0.5% | 12.4% | 3 046 |    | ||
6 | |  | — | Optimal | 53.8% | 0.2% | 0.2% | 1 490 | | ||
7 | |  | — | Optimal | 53.8% | 1.0% | 3.0% | 6 327 | | ||
8 | | | — | Optimal | 53.6% | 8.7% | 17.4% | 57 640 |  | ||
9 | |  | — | Optimal | 53.3% | 1.2% | 1.8% | 8 014 |  | ||
10 | |  | — | Optimal | 53.3% | 0.5% | 1.8% | 3 385 |  | ||
11 | |  | — |  Great | 53.0% | 0.6% | 22.5% | 4 022 | | ||
12 | |  | — | Great | 52.9% | 0.3% | 0.7% | 2 074 | | ||
13 | | | — | Great | 52.7% | 2.1% | 0.8% | 13 691 | | ||
14 | | | — | Great | 52.6% | 1.8% | 14.2% | 11 635 |  | ||
15 | | | — | Optimal | 52.6% | 6.8% | 6.9% | 45 170 | | ||
16 | |  | — | Great | 52.3% | 1.5% | 0.3% | 10 042 | | ||
17 | | | — | Optimal | 51.8% | 12.7% | 3.3% | 84 085 | | ||
18 | |  | — | Great | 51.7% | 1.2% | 19.7% | 7 775 | | ||
19 | | | — | Optimal | 51.5% | 15.0% | 4.2% | 99 457 | | ||
20 | | | — |  Good | 51.2% | 2.0% | 0.2% | 13 031 | | ||
21 | | | — | Great | 51.2% | 5.3% | 6.8% | 35 175 | | ||
22 | | | — | Great | 51.0% | 6.0% | 10.7% | 39 332 | | ||
23 | | | — | Good | 50.6% | 3.9% | 1.3% | 26 031 | | ||
24 | | | — | Good | 50.4% | 3.4% | 0.4% | 22 552 | | ||
25 | | | — | Great | 50.4% | 12.8% | 6.5% | 84 447 | | ||
26 | | | — | Good | 50.0% | 5.9% | 10.7% | 39 232 | | ||
27 | | | — |  Situational | 49.9% | 5.2% | 2.0% | 34 130 | | ||
28 | | | — | Optimal | 49.9% | 22.1% | 26.8% | 146 040 | | ||
29 | | | — | Great | 49.8% | 16.6% | 3.0% | 109 564 | | ||
30 | | | — | Good | 49.8% | 7.9% | 3.0% | 52 324 | | ||
31 | | | — | Good | 49.3% | 12.8% | 1.5% | 84 837 | | ||
32 | | | — |  Not Good | 48.8% | 3.3% | 7.6% | 21 954 | | ||
33 | |  | — | Not Good | 47.9% | 0.8% | 0.2% | 5 244 | | ||
34 | | | — | Not Good | 47.8% | 5.8% | 1.6% | 38 308 | | ||
35 | |  | — | Not Good | 47.5% | 1.5% | 0.3% | 9 959 | | ||
36 | | | — | Not Good | 47.4% | 4.1% | 1.3% | 27 254 | | ||
37 | | | — | Not Good | 47.1% | 13.9% | 5.0% | 91 597 | | ||
38 | |  | — | Not Good | 47.0% | 1.2% | 29.4% | 7 983 | | ||
39 | | | — | Not Good | 46.9% | 3.2% | 1.5% | 21 031 | | ||
40 | |  | — | Not Good | 46.6% | 0.1% | 1.1% | 794 | | ||