Use your favourite features in-game with our Desktop AppLoL ARAM Tier List
| Current patch | 26.2 |
| Last updated | 2 days ago |
In patch 26.2 the best ARAM champions are: Zaahen, Kayle, Gwen, Dr. Mundo, Bel'Veth. By playing these champions you highly increase your chance of winning an ARAM game in the current patch. Check out our ARAM tier list below to find more S-tier champions, and see how different champions perform in current ARAM meta!
Rank | Champion | Tier | Win | Pick | Matches | ||
|---|---|---|---|---|---|---|---|
1 |  |  Optimal | 58.5% | 0.9% | 11 363 | ||
2 |  | Optimal | 55.5% | 1.5% | 18 908 | ||
3 |  | Optimal | 54.9% | 0.4% | 5 491 | ||
4 |  | Optimal | 54.5% | 1.0% | 13 083 | ||
5 |  | Optimal | 54.3% | 0.2% | 3 029 | ||
6 |  | Optimal | 54.3% | 0.6% | 7 441 | ||
7 |  | Optimal | 54.0% | 0.6% | 6 967 | ||
8 |  | Optimal | 53.9% | 1.3% | 16 400 | ||
9 |  | Optimal | 53.8% | 2.4% | 30 435 | ||
10 |  | Optimal | 53.7% | 1.5% | 18 856 | ||
11 |  | Optimal | 53.6% | 1.0% | 12 646 | ||
12 |  | Optimal | 53.6% | 0.6% | 7 732 | ||
13 |  | Optimal | 53.3% | 1.0% | 12 336 | ||
14 |  | Optimal | 53.3% | 1.0% | 12 550 | ||
15 |  | Optimal | 53.3% | 1.2% | 14 883 | ||
16 |  | Optimal | 53.1% | 0.7% | 9 092 | ||
17 |  | Optimal | 53.1% | 0.9% | 11 267 | ||
18 |  | Optimal | 53.1% | 1.2% | 14 658 | ||
19 |  | Optimal | 53.0% | 2.0% | 24 833 | ||
20 |  | Optimal | 52.9% | 1.6% | 20 686 | ||
21 |  |  Great | 52.9% | 1.0% | 12 418 | ||
22 |  | Great | 52.8% | 0.3% | 3 287 | ||
23 |  | Great | 52.8% | 1.3% | 16 285 | ||
24 |  | Great | 52.7% | 0.9% | 11 810 | ||
25 |  | Great | 52.7% | 0.2% | 2 813 | ||
26 |  | Great | 52.7% | 1.2% | 15 561 | ||
27 |  | Great | 52.7% | 0.6% | 7 234 | ||
28 |  | Great | 52.7% | 0.8% | 9 552 | ||
29 |  | Great | 52.6% | 1.2% | 14 915 | ||
30 |  | Great | 52.6% | 0.7% | 8 465 | ||
31 |  | Great | 52.6% | 0.9% | 12 000 | ||
32 |  | Great | 52.5% | 1.6% | 19 918 | ||
33 |  | Great | 52.5% | 0.6% | 7 906 | ||
34 |  | Great | 52.4% | 1.3% | 17 056 | ||
35 |  | Great | 52.4% | 1.3% | 16 403 | ||
36 |  | Great | 52.4% | 0.9% | 11 418 | ||
37 |  | Great | 52.3% | 2.2% | 28 112 | ||
38 |  | Great | 52.3% | 0.9% | 11 734 | ||
39 |  | Great | 52.3% | 1.2% | 14 885 | ||
40 |  | Great | 52.3% | 1.4% | 17 639 | ||
41 |  | Great | 52.3% | 0.9% | 11 462 | ||
42 |  | Great | 52.2% | 2.2% | 27 982 | ||
43 |  | Great | 52.1% | 1.3% | 16 600 | ||
44 |  | Great | 52.1% | 0.7% | 8 612 | ||
45 |  | Great | 52.1% | 1.0% | 12 790 | ||
46 |  | Great | 51.9% | 1.8% | 22 319 | ||
47 |  | Great | 51.8% | 0.8% | 9 700 | ||
48 |  | Great | 51.6% | 1.7% | 21 507 | ||
49 |  | Great | 51.6% | 2.5% | 31 838 | ||
50 |  | Great | 51.6% | 2.6% | 33 201 | ||
51 |  | Great | 51.5% | 2.3% | 28 753 | ||
52 |  |  Good | 51.7% | 0.4% | 5 607 | ||
53 |  | Good | 51.7% | 0.3% | 3 455 | ||
54 |  | Good | 51.7% | 0.8% | 10 090 | ||
55 |  | Good | 51.6% | 0.7% | 8 373 | ||
56 |  | Good | 51.5% | 1.1% | 13 788 | ||
57 |  | Good | 51.4% | 0.5% | 5 869 | ||
58 |  | Good | 51.4% | 1.1% | 14 352 | ||
59 |  | Good | 51.4% | 1.0% | 12 219 | ||
60 |  | Good | 51.4% | 0.5% | 6 118 | ||