Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 16.1 |
| Last updated | 2 days ago |
Based on the matches analyzed in Patch 16.1, the top 5 highest win rate champions up to low Diamond are Aurelion Sol Bot, Nilah Bot, Rammus Jungle, Renekton Mid, and Smolder 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 | 55.9% | 0.2% | 1.0% | 828 |      | ||
2 | |  | — | Optimal | 55.7% | 2.5% | 4.2% | 11 049 |     | ||
3 | | | — | Optimal | 54.5% | 10.4% | 5.4% | 45 943 |    | ||
4 | |  | — | Optimal | 53.9% | 0.7% | 4.5% | 2 977 | | ||
5 | |  | — | Optimal | 53.7% | 1.2% | 0.5% | 5 206 |  | ||
6 | | | — | Optimal | 53.5% | 6.3% | 2.3% | 27 927 | | ||
7 | |  | — | Optimal | 53.3% | 0.5% | 1.9% | 2 041 |   | ||
8 | | | — | Optimal | 52.4% | 14.1% | 3.6% | 62 298 | | ||
9 | |  | — | Optimal | 51.6% | 13.8% | 13.3% | 61 086 | | ||
10 | | | — | Optimal | 51.4% | 11.0% | 8.7% | 48 518 | | ||
11 | | | — | Optimal | 49.7% | 21.5% | 26.2% | 95 342 | | ||
12 | |  | — |  Great | 53.1% | 0.4% | 4.8% | 1 739 |  | ||
13 | |  | — | Great | 52.7% | 0.2% | 0.8% | 814 | | ||
14 | |  | — | Great | 52.6% | 0.9% | 20.9% | 3 892 |  | ||
15 | | | — | Great | 51.9% | 4.6% | 4.4% | 20 481 | | ||
16 | | | — | Great | 51.7% | 3.6% | 0.6% | 15 919 | | ||
17 | | | — | Great | 51.2% | 8.9% | 8.1% | 39 557 | | ||
18 | | | — | Great | 51.0% | 5.3% | 8.7% | 23 631 | | ||
19 | | | — | Great | 50.3% | 16.3% | 3.3% | 72 066 | | ||
20 | | | — | Great | 50.0% | 11.8% | 5.3% | 52 150 | | ||
21 | |  | — |  Situational | 50.3% | 1.3% | 0.7% | 5 726 |  | ||
22 | | | — | Situational | 49.9% | 2.4% | 0.4% | 10 575 | | ||
23 | | | — | Situational | 49.4% | 8.5% | 4.6% | 37 491 | | ||
24 | | | — | Situational | 48.0% | 15.8% | 2.5% | 69 881 | | ||
25 | | | — |  Not Good | 49.2% | 6.0% | 2.8% | 26 542 | | ||
26 | |  | — | Not Good | 47.4% | 1.1% | 0.3% | 4 880 | | ||
27 | | | — | Not Good | 47.0% | 6.4% | 3.4% | 28 489 | | ||
28 | |  | — | Not Good | 46.7% | 0.9% | 0.3% | 3 852 | | ||
29 | | | — | Not Good | 46.3% | 11.2% | 2.9% | 49 442 | | ||
30 | |  | — | Not Good | 46.0% | 5.4% | 12.2% | 24 104 | | ||
31 | | | — | Not Good | 45.1% | 2.5% | 0.8% | 11 166 | | ||