Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 25.24 |
| Last updated | 15 days ago |
Based on the matches analyzed in Patch 25.24, the top 5 highest win rate champions up to low Diamond are Swain Bot, Briar Jungle, Brand Bot, Garen Mid, and Nilah 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 | 52.6% | 21.9% | 18.9% | 758 726 |      | ||
2 | |  | — |  Great | 49.4% | 17.5% | 21.6% | 608 771 | | ||
3 | | | — | Optimal | 50.7% | 17.1% | 3.3% | 594 573 |   | ||
4 | |  | — | Great | 49.1% | 16.8% | 2.7% | 583 678 |   | ||
5 | | | — | Optimal | 51.2% | 13.1% | 2.9% | 453 737 | | ||
6 | |  | — |  Situational | 48.4% | 12.2% | 2.9% | 423 044 | | ||
7 | |  | — | Great | 50.3% | 12.0% | 6.6% | 416 052 | | ||
8 | | | — | Optimal | 51.8% | 10.4% | 5.0% | 359 476 | | ||
9 | | | — | Optimal | 51.9% | 8.7% | 7.1% | 303 554 | | ||
10 | |  | — |  Not Good | 48.7% | 7.8% | 2.3% | 271 154 | | ||
11 | |  | — | Situational | 49.6% | 6.8% | 2.8% | 237 296 | | ||
12 | |  | — | Not Good | 47.0% | 6.6% | 3.9% | 228 211 | | ||
13 | | | — | Situational | 49.8% | 5.4% | 2.0% | 186 207 | | ||
14 | | | — |  Good | 50.2% | 5.1% | 8.9% | 178 231 |   | ||
15 | | | — | Good | 50.7% | 4.5% | 2.0% | 156 610 | | ||
16 | |  | — | Not Good | 46.3% | 3.9% | 0.9% | 135 233 | | ||
17 | | | — | Situational | 49.9% | 3.7% | 4.0% | 130 066 | | ||
18 | | | — | Good | 50.3% | 3.7% | 0.5% | 129 421 | | ||
19 | |  | — | Not Good | 48.0% | 3.6% | 10.3% | 125 565 | | ||
20 | |  | — | Not Good | 49.0% | 2.8% | 0.3% | 98 755 | | ||
21 | | | — | Great | 52.3% | 2.0% | 0.9% | 68 707 | | ||
22 | | | — | Optimal | 53.3% | 1.5% | 2.3% | 51 507 | | ||
23 | |  | — | Great | 51.8% | 1.5% | 0.6% | 50 730 | | ||
24 | |  | — | Not Good | 47.3% | 1.4% | 0.3% | 48 989 | | ||
25 | |  | — | Optimal | 54.1% | 1.1% | 4.6% | 39 284 | | ||
26 | |  | — | Not Good | 48.5% | 1.0% | 59.7% | 36 412 | | ||
27 | |  | — | Not Good | 46.9% | 1.0% | 0.3% | 35 600 | | ||
28 | |  | — | Good | 51.1% | 0.9% | 20.7% | 31 786 | | ||
29 | |  | — | Great | 53.0% | 0.6% | 2.3% | 20 036 | | ||
30 | |  | — | Not Good | 49.4% | 0.4% | 0.7% | 14 079 | | ||
31 | |  | — | Optimal | 53.5% | 0.3% | 4.9% | 11 613 | | ||
32 | |  | — | Good | 51.7% | 0.2% | 2.2% | 8 072 | | ||
33 | |  | — | Great | 52.3% | 0.2% | 0.9% | 7 016 | | ||
34 | |  | — | Great | 52.4% | 0.1% | 0.4% | 4 079 | | ||
35 | |  | — | Good | 51.2% | 0.1% | 1.4% | 4 023 | | ||