Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 25.24 |
| Last updated | 19 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 | 52.5% | 21.7% | 19.3% | 900 683 |      | ||
2 | |  | — |  Great | 49.4% | 17.6% | 21.4% | 729 250 | | ||
3 | | | — | Optimal | 50.7% | 17.2% | 3.3% | 714 153 |   | ||
4 | |  | — | Great | 49.2% | 16.8% | 2.7% | 700 091 |   | ||
5 | | | — | Optimal | 51.1% | 13.0% | 2.8% | 542 024 | | ||
6 | |  | — |  Situational | 48.4% | 12.2% | 2.9% | 508 511 | | ||
7 | |  | — | Great | 50.4% | 12.0% | 6.6% | 500 087 | | ||
8 |  |  | — | Great | 51.1% | 11.1% | 9.7% | 460 872 |      | ||
9 |  |  | — | Great | 50.1% | 10.7% | 9.2% | 436 131 |      | ||
10 | | | — | Optimal | 51.8% | 10.3% | 5.0% | 428 949 | | ||
11 | |  | — |  Good | 49.8% | 10.0% | 2.9% | 406 656 |     | ||
12 |  |  | — | Good | 49.8% | 9.8% | 20.2% | 405 745 |     | ||
13 | |  | — | Situational | 48.7% | 9.4% | 10.6% | 387 076 |   | ||
14 |  |  | — | Good | 50.0% | 9.4% | 43.0% | 386 634 |    | ||
15 | |  | — | Situational | 49.3% | 9.3% | 23.4% | 384 234 |  | ||
16 | |  | — | Situational | 49.3% | 9.3% | 10.8% | 378 847 |    | ||
17 | | | — | Optimal | 52.6% | 9.3% | 1.6% | 377 835 |  | ||
18 | |  | — | Great | 51.1% | 8.9% | 3.1% | 367 617 |  | ||
19 | | | — | Optimal | 51.8% | 8.7% | 7.2% | 363 120 | | ||
20 | | | — | Optimal | 52.1% | 8.7% | 18.1% | 359 323 |   | ||
21 | | | — | Optimal | 52.0% | 8.6% | 5.5% | 355 621 |    | ||
22 | | | — | Optimal | 52.8% | 8.4% | 28.1% | 347 278 |     | ||
23 | |  | — | Situational | 49.1% | 8.4% | 15.8% | 343 788 | | ||
24 | | | — | Great | 51.2% | 8.2% | 8.0% | 334 583 |  | ||
25 | |  | — | Great | 50.7% | 8.1% | 7.1% | 333 358 |   | ||
26 | |  | — |  Not Good | 48.8% | 7.9% | 2.3% | 326 246 | | ||
27 | | | — | Great | 51.2% | 7.9% | 25.9% | 323 779 |  | ||
28 | |  | — | Not Good | 47.1% | 7.6% | 60.1% | 313 006 |  | ||
29 | |  | — | Good | 49.9% | 7.5% | 12.6% | 312 615 |  | ||
30 | | | — | Optimal | 51.9% | 7.5% | 3.4% | 307 035 |  | ||
31 | |  | — | Situational | 49.5% | 7.4% | 8.1% | 305 387 |   | ||
32 | | | — | Great | 52.0% | 7.2% | 11.3% | 296 822 |   | ||
33 | |  | — | Good | 50.0% | 7.1% | 16.3% | 294 055 |  | ||
34 | | | — | Optimal | 53.2% | 7.1% | 5.2% | 288 738 |  | ||
35 | | | — | Situational | 49.3% | 6.9% | 23.0% | 285 695 | | ||
36 | |  | — | Situational | 49.6% | 6.8% | 2.8% | 283 965 | | ||
37 | | | — | Great | 51.3% | 6.8% | 3.3% | 282 194 | | ||
38 | |  | — | Good | 49.8% | 6.9% | 6.3% | 282 081 | | ||
39 | | | — | Great | 51.5% | 6.8% | 8.4% | 280 358 |  | ||
40 | |  | — | Not Good | 48.9% | 6.7% | 24.6% | 276 231 |  | ||