Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 25.24 |
| Last updated | 10 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, Milio Support, Rumble Mid, and Veigar 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 | 54.3% | 1.1% | 4.4% | 30 177 |      | ||
2 | |  | — | Optimal | 53.2% | 0.6% | 2.2% | 15 078 |    | ||
3 | |  | — | Optimal | 53.1% | 1.5% | 2.3% | 39 759 |  | ||
4 | | | — | Optimal | 52.8% | 22.1% | 18.3% | 596 852 |  | ||
5 | |  | — |  Great | 52.3% | 0.1% | 0.4% | 3 132 |  | ||
6 | | | — | Great | 52.3% | 2.0% | 0.9% | 53 357 |   | ||
7 | |  | — | Great | 52.2% | 0.2% | 0.9% | 5 456 |   | ||
8 | |  | — | Great | 52.0% | 0.2% | 2.2% | 6 348 |  | ||
9 | | | — | Optimal | 51.9% | 8.7% | 7.1% | 236 265 |    | ||
10 | | | — | Optimal | 51.8% | 10.4% | 5.0% | 281 306 | | ||
11 | |  | — |  Good | 51.4% | 1.5% | 0.6% | 39 631 |  | ||
12 | | | — | Optimal | 51.2% | 13.1% | 3.0% | 353 690 | | ||
13 | |  | — | Good | 50.8% | 0.9% | 20.6% | 24 261 | | ||
14 | | | — | Good | 50.8% | 4.6% | 2.1% | 123 269 | | ||
15 | | | — | Optimal | 50.7% | 17.1% | 3.3% | 462 777 | | ||
16 | | | — | Great | 50.4% | 11.9% | 6.8% | 322 646 | | ||
17 | | | — | Good | 50.4% | 3.7% | 0.5% | 101 098 | | ||
18 | | | — | Good | 50.2% | 5.1% | 8.9% | 139 018 | | ||
19 | | | — |  Situational | 49.8% | 3.7% | 4.0% | 101 081 | | ||
20 | | | — | Situational | 49.7% | 5.3% | 1.9% | 142 054 | | ||
21 | |  | — |  Not Good | 49.7% | 0.4% | 0.7% | 11 002 | | ||
22 | | | — | Situational | 49.6% | 6.8% | 2.9% | 184 331 | | ||
23 | | | — | Great | 49.3% | 17.5% | 21.6% | 474 475 | | ||
24 | | | — | Not Good | 49.1% | 2.9% | 0.3% | 79 165 | | ||
25 | | | — | Great | 49.1% | 16.7% | 2.7% | 452 984 | | ||
26 | | | — | Not Good | 48.7% | 7.7% | 2.3% | 209 383 | | ||
27 | | | — | Situational | 48.4% | 12.2% | 2.9% | 329 464 | | ||
28 | | | — | Not Good | 48.3% | 1.1% | 60.3% | 29 251 | | ||
29 | |  | — | Not Good | 47.9% | 3.6% | 10.3% | 97 244 | | ||
30 | |  | — | Not Good | 47.1% | 1.4% | 0.3% | 38 374 | | ||
31 | |  | — | Not Good | 46.9% | 6.6% | 3.9% | 179 347 | | ||
32 | |  | — | Not Good | 46.8% | 1.0% | 0.3% | 27 849 | | ||
33 | | | — | Not Good | 46.4% | 3.9% | 0.9% | 105 183 | | ||