Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.5 |
| Last updated | 17 days ago |
Based on the matches analyzed in Patch 26.5, the top 5 highest win rate champions up to low Diamond are Hwei Bot, Vel'Koz Bot, Garen Mid, Mordekaiser Mid, and Veigar 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 |  |  | — |  Great | 50.7% | 11.9% | 6.9% | 27 157 |      | ||
2 | | | — | Great | 50.2% | 11.3% | 23.4% | 25 860 |      | ||
3 | | | — |  Optimal | 52.6% | 9.0% | 19.2% | 20 577 |     | ||
4 | |  | — |  Situational | 49.0% | 7.8% | 41.4% | 17 773 |   | ||
5 | |  | — |  Good | 50.0% | 7.7% | 7.7% | 17 551 |    | ||
6 | |  | — | Good | 49.9% | 7.6% | 19.8% | 17 445 |   | ||
7 | | | — | Optimal | 52.3% | 7.4% | 4.4% | 17 011 | | ||
8 | |  | — |  Not Good | 49.0% | 7.2% | 25.5% | 16 605 |   | ||
9 | | | — | Good | 50.2% | 6.4% | 11.9% | 14 684 |   | ||
10 | |  | — | Not Good | 48.9% | 6.2% | 7.3% | 14 217 | | ||
11 | | | — | Great | 51.8% | 6.2% | 11.3% | 14 206 | | ||
12 | | | — | Optimal | 52.9% | 5.3% | 12.6% | 12 093 | | ||
13 | | | — | Great | 51.5% | 5.0% | 13.4% | 11 404 | | ||
14 | | | — | Great | 52.0% | 5.0% | 3.0% | 11 377 |  | ||
15 | | | — | Good | 51.0% | 4.3% | 7.4% | 9 859 |  | ||
16 | | | — | Situational | 49.7% | 4.3% | 15.1% | 9 750 |  | ||
17 | | | — | Not Good | 49.5% | 4.0% | 2.8% | 9 086 | | ||
18 | | | — | Good | 50.3% | 3.7% | 0.5% | 8 454 |  | ||
19 | |  | — | Not Good | 49.5% | 3.7% | 1.6% | 8 376 | | ||
20 | | | — | Good | 50.9% | 3.5% | 4.0% | 8 026 | | ||
21 | | | — | Good | 50.6% | 3.3% | 2.6% | 7 474 | | ||
22 | | | — | Great | 51.4% | 3.2% | 12.5% | 7 396 | | ||
23 | | | — | Not Good | 47.4% | 3.2% | 0.5% | 7 359 | | ||
24 | | | — | Situational | 50.3% | 3.1% | 12.1% | 7 159 | | ||
25 | | | — | Situational | 50.3% | 3.0% | 1.3% | 6 979 | | ||
26 | | | — | Great | 51.9% | 2.9% | 1.5% | 6 752 | | ||
27 | | | — | Not Good | 48.3% | 2.9% | 0.7% | 6 728 | | ||
28 | | | — | Good | 51.1% | 2.6% | 1.3% | 5 950 | | ||
29 | | | — | Not Good | 49.5% | 2.6% | 1.9% | 5 883 | | ||
30 | | | — | Not Good | 48.5% | 2.5% | 2.6% | 5 806 |  | ||
31 | | | — | Not Good | 45.9% | 2.4% | 0.4% | 5 524 | | ||
32 | | | — | Good | 51.4% | 2.2% | 1.3% | 5 045 | | ||
33 | | | — | Not Good | 49.1% | 2.1% | 2.9% | 4 885 | | ||
34 | | | — | Not Good | 48.2% | 2.0% | 1.4% | 4 501 |  | ||
35 | | | — | Good | 50.8% | 1.9% | 0.6% | 4 351 | | ||
36 | |  | — | Situational | 50.1% | 1.9% | 1.1% | 4 277 | | ||
37 | | | — | Not Good | 48.7% | 1.7% | 0.9% | 3 940 | | ||
38 | |  | — | Not Good | 46.8% | 1.4% | 0.5% | 3 137 | | ||
39 | |  | — | Not Good | 47.6% | 1.2% | 5.6% | 2 828 | | ||
40 | |  | — | Not Good | 49.5% | 1.1% | 0.8% | 2 407 | | ||
41 | |  | — | Not Good | 48.2% | 1.0% | 0.9% | 2 386 | | ||
42 | |  | — | Great | 51.7% | 1.0% | 2.0% | 2 351 | | ||
43 | |  | — | Great | 52.3% | 1.0% | 1.8% | 2 350 | | ||
44 | |  | — | Not Good | 45.2% | 0.9% | 0.2% | 1 967 | | ||
45 | |  | — | Great | 51.8% | 0.7% | 5.6% | 1 495 | | ||
46 | |  | — | Situational | 50.4% | 0.6% | 1.1% | 1 425 | | ||
47 | |  | — | Optimal | 55.0% | 0.6% | 9.0% | 1 281 | | ||
48 | |  | — | Not Good | 46.6% | 0.5% | 2.2% | 1 170 | | ||
49 | |  | — | Good | 51.4% | 0.4% | 1.6% | 961 | | ||
50 | |  | — | Not Good | 49.9% | 0.3% | 13.0% | 605 | | ||
51 | |  | — | Not Good | 49.4% | 0.2% | 0.3% | 565 | | ||
52 | |  | — | Great | 52.7% | 0.2% | 5.4% | 560 |  | ||
53 | |  | — | Not Good | 50.1% | 0.2% | 4.5% | 529 | | ||
54 | |  | — | Optimal | 54.6% | 0.2% | 15.7% | 518 | | ||
55 | |  | — | Not Good | 41.1% | 0.2% | 0.4% | 470 | | ||