Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.3 |
| Last updated | 6 days ago |
Based on the matches analyzed in Patch 26.3, the top 5 highest win rate champions up to low Diamond are Swain Bot, Veigar Bot, Brand Bot, Rammus Jungle, and Mordekaiser Jungle. 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 | 50.3% | 23.8% | 32.6% | 468 122 |      | ||
2 | | | — | Optimal | 52.0% | 16.9% | 7.1% | 332 775 |   | ||
3 | |  | — |  Good | 48.8% | 15.9% | 2.2% | 313 759 |  | ||
4 | | | — | Optimal | 52.2% | 15.6% | 7.7% | 307 125 |  | ||
5 | | | — |  Great | 50.3% | 15.5% | 2.9% | 305 545 |   | ||
6 | |  | — |  Not Good | 47.7% | 13.9% | 3.1% | 273 628 | | ||
7 | | | — | Optimal | 51.9% | 9.1% | 5.7% | 178 212 | | ||
8 | |  | — | Good | 50.4% | 8.1% | 2.3% | 159 641 | | ||
9 | | | — | Good | 50.0% | 7.4% | 8.4% | 145 085 | | ||
10 | | | — | Great | 50.8% | 7.4% | 9.0% | 144 972 | | ||
11 | |  | — | Not Good | 47.1% | 7.3% | 3.2% | 142 954 | | ||
12 | |  | — | Not Good | 48.3% | 6.7% | 2.1% | 131 691 | | ||
13 | | | — | Optimal | 52.5% | 6.7% | 7.0% | 131 479 | | ||
14 | | | — | Good | 50.3% | 5.6% | 9.1% | 109 903 |  | ||
15 | | | — | Good | 50.3% | 5.3% | 3.8% | 103 890 | | ||
16 | |  | — | Not Good | 48.9% | 5.0% | 2.0% | 99 198 | | ||
17 | |  | — | Not Good | 47.3% | 5.0% | 23.3% | 98 288 | | ||
18 | |  | — | Not Good | 48.0% | 3.2% | 8.1% | 62 654 | | ||
19 | |  | — |  Situational | 49.8% | 2.8% | 0.4% | 54 178 | | ||
20 | | | — | Not Good | 47.4% | 2.0% | 0.3% | 38 635 | | ||
21 | | | — | Great | 52.8% | 1.9% | 3.7% | 36 882 | | ||
22 | |  | — | Optimal | 55.2% | 1.7% | 8.7% | 32 779 | | ||
23 | |  | — | Not Good | 49.8% | 1.6% | 0.2% | 31 845 | | ||
24 | | | — | Great | 52.4% | 1.6% | 0.6% | 30 992 | | ||
25 | |  | — | Great | 52.2% | 1.4% | 0.4% | 26 693 | | ||
26 | |  | — | Optimal | 54.5% | 1.3% | 4.0% | 24 984 | | ||
27 | |  | — | Good | 51.5% | 0.9% | 22.8% | 17 444 | | ||
28 | |  | — | Not Good | 46.1% | 0.8% | 0.2% | 16 251 | | ||
29 | |  | — | Optimal | 54.1% | 0.7% | 5.8% | 14 396 | | ||
30 | |  | — | Good | 50.8% | 0.5% | 0.6% | 9 512 | | ||
31 | |  | — | Not Good | 47.3% | 0.5% | 28.9% | 9 021 | | ||
32 | |  | — | Great | 53.1% | 0.2% | 1.1% | 4 828 | | ||
33 | |  | — | Not Good | 48.4% | 0.1% | 1.0% | 2 111 | | ||
34 | |  | — | Great | 52.1% | 0.1% | 0.3% | 2 031 | | ||