Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 25.24 |
| Last updated | 6 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, Rumble Mid, Briar Jungle, Milio Support, 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 | 52.9% | 22.2% | 17.5% | 464 579 |      | ||
2 | |  | — |  Great | 49.3% | 17.6% | 21.7% | 367 912 |  | ||
3 | | | — | Optimal | 50.6% | 17.1% | 3.4% | 358 314 |   | ||
4 | |  | — |  Good | 49.0% | 16.6% | 2.6% | 347 771 |   | ||
5 | | | — | Optimal | 51.2% | 13.2% | 3.0% | 275 210 | | ||
6 | |  | — |  Situational | 48.4% | 12.1% | 2.9% | 253 670 | | ||
7 | |  | — | Great | 50.4% | 11.9% | 6.9% | 248 130 | | ||
8 | | | — | Optimal | 51.8% | 10.5% | 5.0% | 219 568 | | ||
9 | | | — | Optimal | 51.9% | 8.7% | 6.9% | 182 181 |  | ||
10 | |  | — |  Not Good | 48.7% | 7.7% | 2.3% | 161 087 | | ||
11 | | | — | Situational | 49.5% | 6.8% | 2.9% | 142 949 | | ||
12 | |  | — | Not Good | 46.9% | 6.6% | 4.0% | 137 235 |  | ||
13 | | | — | Good | 50.1% | 5.2% | 8.9% | 107 682 |  | ||
14 | | | — | Situational | 49.5% | 5.1% | 1.9% | 107 057 | | ||
15 | | | — | Good | 50.7% | 4.6% | 2.1% | 96 128 | | ||
16 | |  | — | Not Good | 46.4% | 3.8% | 0.9% | 80 332 | | ||
17 | | | — | Situational | 49.7% | 3.8% | 4.0% | 78 663 | | ||
18 | | | — | Good | 50.4% | 3.7% | 0.5% | 78 198 | | ||
19 | |  | — | Not Good | 47.9% | 3.6% | 10.3% | 75 195 | | ||
20 | | | — | Not Good | 49.2% | 3.0% | 0.3% | 61 933 | | ||
21 | | | — | Great | 52.2% | 2.0% | 1.0% | 41 425 | | ||
22 | |  | — | Good | 51.6% | 1.5% | 0.6% | 31 139 | | ||
23 | | | — | Optimal | 53.3% | 1.5% | 2.3% | 30 713 | | ||
24 | |  | — | Not Good | 47.2% | 1.4% | 0.3% | 29 417 | | ||
25 | |  | — | Not Good | 48.2% | 1.1% | 60.6% | 23 331 | | ||
26 | |  | — | Optimal | 54.5% | 1.1% | 4.2% | 23 099 | | ||
27 | |  | — | Not Good | 46.4% | 1.0% | 0.3% | 21 332 | | ||
28 | |  | — | Good | 50.8% | 0.9% | 20.6% | 18 563 | | ||
29 | |  | — | Optimal | 53.3% | 0.5% | 2.2% | 11 254 | | ||
30 | |  | — | Not Good | 49.7% | 0.4% | 0.7% | 8 655 | | ||
31 | |  | — | Great | 52.6% | 0.2% | 2.2% | 4 875 | | ||
32 | |  | — | Great | 52.1% | 0.2% | 0.9% | 4 159 | | ||
33 | |  | — | Great | 53.0% | 0.1% | 0.4% | 2 496 | | ||