Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 25.24 |
| Last updated | 22 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, Brand Bot, Briar Jungle, 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 | 52.5% | 21.7% | 19.4% | 989 548 |      | ||
2 | |  | — |  Great | 49.4% | 17.6% | 21.5% | 804 531 | | ||
3 | | | — | Optimal | 50.7% | 17.2% | 3.3% | 786 692 |   | ||
4 | |  | — | Great | 49.1% | 16.8% | 2.6% | 767 539 |   | ||
5 | | | — | Optimal | 51.1% | 13.1% | 2.8% | 596 278 | | ||
6 | |  | — |  Situational | 48.4% | 12.2% | 2.9% | 556 139 | | ||
7 | |  | — | Great | 50.4% | 12.0% | 6.5% | 549 592 | | ||
8 | | | — | Optimal | 51.8% | 10.3% | 5.0% | 471 750 | | ||
9 | | | — | Optimal | 51.8% | 8.8% | 7.2% | 400 975 | | ||
10 | |  | — |  Not Good | 48.8% | 7.8% | 2.3% | 358 563 | | ||
11 | |  | — | Situational | 49.6% | 6.9% | 2.9% | 313 419 | | ||
12 | |  | — | Not Good | 47.1% | 6.4% | 3.8% | 293 601 | | ||
13 | | | — | Situational | 49.9% | 5.5% | 2.0% | 251 477 | | ||
14 | | | — |  Good | 50.3% | 5.2% | 9.0% | 235 977 |   | ||
15 | | | — | Good | 50.6% | 4.5% | 2.0% | 204 549 | | ||
16 | |  | — | Not Good | 46.4% | 3.9% | 0.9% | 177 808 | | ||
17 | | | — | Situational | 49.9% | 3.7% | 3.9% | 170 639 | | ||
18 | | | — | Good | 50.2% | 3.7% | 0.5% | 169 113 | | ||
19 | |  | — | Not Good | 48.1% | 3.6% | 10.2% | 165 341 | | ||
20 | |  | — | Not Good | 49.1% | 2.7% | 0.3% | 125 080 | | ||
21 | | | — | Great | 52.2% | 2.0% | 0.9% | 90 813 | | ||
22 | | | — | Optimal | 53.2% | 1.5% | 2.3% | 68 652 | | ||
23 | |  | — | Great | 51.9% | 1.4% | 0.5% | 65 670 | | ||
24 | |  | — | Not Good | 47.4% | 1.4% | 0.3% | 63 000 | | ||
25 | |  | — | Optimal | 54.0% | 1.1% | 4.8% | 52 328 | | ||
26 | |  | — | Not Good | 46.8% | 1.0% | 0.3% | 46 547 | | ||
27 | |  | — | Not Good | 48.4% | 1.0% | 59.0% | 45 877 | | ||
28 | |  | — | Good | 50.8% | 0.9% | 21.0% | 42 400 | | ||
29 | |  | — | Great | 53.0% | 0.6% | 2.3% | 27 065 | | ||
30 | |  | — | Not Good | 49.0% | 0.4% | 0.7% | 18 373 | | ||
31 | |  | — | Optimal | 53.6% | 0.4% | 4.9% | 16 802 | | ||
32 | |  | — | Great | 52.0% | 0.2% | 2.1% | 10 443 | | ||
33 | |  | — | Great | 52.5% | 0.2% | 0.9% | 9 362 | | ||
34 | |  | — | Great | 52.8% | 0.1% | 0.4% | 5 412 | | ||
35 | |  | — | Situational | 50.3% | 0.1% | 1.4% | 5 209 | | ||