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 |  |  | — |  Good | 49.8% | 9.8% | 20.3% | 445 610 |      | ||
2 | |  | — |  Great | 51.1% | 8.9% | 3.1% | 404 247 |      | ||
3 | | | — |  Optimal | 52.1% | 8.7% | 18.2% | 396 632 |     | ||
4 | |  | — | Good | 49.9% | 7.5% | 12.7% | 342 055 |   | ||
5 | |  | — |  Not Good | 47.1% | 7.5% | 59.9% | 340 369 |  | ||
6 | |  | — |  Situational | 49.5% | 7.4% | 8.2% | 335 836 |   | ||
7 | |  | — | Situational | 49.4% | 6.9% | 22.9% | 311 801 | | ||
8 | | | — | Great | 51.3% | 6.8% | 3.3% | 307 647 | | ||
9 | |  | — | Not Good | 48.9% | 6.7% | 24.6% | 304 819 |  | ||
10 | |  | — | Not Good | 48.5% | 6.5% | 5.8% | 293 804 | | ||
11 | | | — | Great | 51.4% | 6.0% | 10.3% | 270 742 | | ||
12 | | | — | Great | 51.6% | 5.9% | 2.1% | 267 688 | | ||
13 | |  | — | Good | 50.5% | 5.3% | 3.5% | 241 381 | | ||
14 | |  | — | Not Good | 48.2% | 5.0% | 1.4% | 227 880 |  | ||
15 | |  | — | Not Good | 49.4% | 4.7% | 18.5% | 213 392 | | ||
16 | | | — | Great | 51.8% | 4.6% | 10.8% | 207 714 | | ||
17 | | | — | Great | 51.9% | 4.5% | 8.8% | 203 509 | | ||
18 | | | — | Great | 52.0% | 3.5% | 8.9% | 160 430 | | ||
19 | | | — | Not Good | 49.3% | 3.4% | 2.0% | 155 324 | | ||
20 | | | — | Good | 50.9% | 3.3% | 1.9% | 150 743 |  | ||
21 | |  | — | Not Good | 47.9% | 3.3% | 2.9% | 149 285 | | ||
22 | | | — | Good | 51.2% | 3.2% | 3.6% | 146 209 | | ||
23 | | | — | Good | 50.5% | 3.1% | 10.5% | 140 312 | | ||
24 | |  | — | Situational | 49.8% | 3.0% | 1.9% | 138 222 | | ||
25 | | | — | Good | 50.9% | 3.0% | 5.4% | 135 953 | | ||
26 | |  | — | Not Good | 49.5% | 3.0% | 0.3% | 134 670 | | ||
27 | | | — | Not Good | 49.0% | 2.8% | 0.5% | 128 149 |  | ||
28 | | | — | Optimal | 53.0% | 2.7% | 5.8% | 121 520 | | ||
29 | | | — | Situational | 50.2% | 2.5% | 1.2% | 115 403 | | ||
30 | | | — | Good | 50.9% | 2.3% | 0.9% | 106 762 | | ||
31 | | | — | Good | 51.4% | 2.3% | 1.3% | 104 984 | | ||
32 | | | — | Good | 51.1% | 2.2% | 1.1% | 99 765 | | ||
33 | |  | — | Not Good | 49.1% | 2.2% | 1.6% | 98 711 | | ||
34 | |  | — | Not Good | 45.1% | 2.1% | 0.5% | 97 138 | | ||
35 | |  | — | Not Good | 49.1% | 2.0% | 2.2% | 92 711 | | ||
36 | | | — | Great | 52.4% | 2.0% | 31.2% | 89 669 | | ||
37 | | | — | Optimal | 52.9% | 1.9% | 5.3% | 84 716 | | ||
38 | |  | — | Not Good | 47.8% | 1.8% | 1.6% | 82 245 | | ||
39 | | | — | Not Good | 47.7% | 1.6% | 5.3% | 74 049 | | ||
40 | | | — | Great | 52.4% | 1.5% | 30.1% | 70 223 | | ||