Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 25.24 |
| Last updated | 11 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, Veigar Bot, and Rumble Mid. 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 | 49.9% | 9.7% | 20.0% | 277 912 |      | ||
2 | |  | — |  Great | 51.3% | 8.9% | 3.0% | 254 708 |      | ||
3 | | | — |  Optimal | 52.1% | 8.6% | 17.9% | 247 427 |    | ||
4 | |  | — |  Not Good | 47.1% | 7.8% | 61.0% | 225 331 |   | ||
5 | |  | — | Good | 50.0% | 7.5% | 12.4% | 216 436 |  | ||
6 | |  | — |  Situational | 49.5% | 7.4% | 8.0% | 211 687 |  | ||
7 | |  | — | Situational | 49.4% | 6.9% | 22.9% | 198 438 | | ||
8 | | | — | Great | 51.2% | 6.8% | 3.1% | 196 848 |  | ||
9 | |  | — | Not Good | 49.0% | 6.5% | 24.3% | 187 360 |  | ||
10 | |  | — | Not Good | 48.5% | 6.4% | 5.8% | 185 190 | | ||
11 | | | — | Great | 51.3% | 5.9% | 10.2% | 169 675 |   | ||
12 | | | — | Great | 51.6% | 5.8% | 2.1% | 167 306 | | ||
13 | |  | — | Good | 50.8% | 5.4% | 3.5% | 154 532 |  | ||
14 | |  | — | Not Good | 48.1% | 5.1% | 1.4% | 147 472 | | ||
15 | |  | — | Situational | 49.5% | 4.8% | 18.9% | 137 362 | | ||
16 | | | — | Great | 51.9% | 4.4% | 8.6% | 127 298 | | ||
17 | | | — | Great | 51.5% | 4.4% | 10.5% | 126 723 | | ||
18 | | | — | Great | 52.1% | 3.5% | 9.0% | 101 973 | | ||
19 | | | — | Not Good | 49.4% | 3.5% | 2.0% | 99 982 | | ||
20 | |  | — | Not Good | 47.8% | 3.3% | 2.9% | 95 499 | | ||
21 | | | — | Good | 50.9% | 3.3% | 1.8% | 94 420 | | ||
22 | | | — | Good | 51.1% | 3.2% | 3.6% | 91 845 | | ||
23 | |  | — | Situational | 49.9% | 3.1% | 2.0% | 89 608 | | ||
24 | | | — | Good | 50.5% | 3.1% | 10.3% | 87 949 | | ||
25 | | | — | Good | 50.9% | 3.0% | 5.3% | 85 106 | | ||
26 | |  | — | Not Good | 49.6% | 2.9% | 0.3% | 84 675 | | ||
27 | | | — | Not Good | 49.1% | 2.9% | 0.5% | 84 024 | | ||
28 | | | — | Optimal | 53.1% | 2.6% | 5.6% | 75 027 | | ||
29 | | | — | Situational | 50.3% | 2.5% | 1.2% | 72 971 | | ||
30 | | | — | Great | 51.5% | 2.3% | 1.3% | 67 589 | | ||
31 | | | — | Good | 50.9% | 2.3% | 0.9% | 67 181 | | ||
32 | |  | — | Not Good | 44.9% | 2.2% | 0.5% | 63 252 | | ||
33 | |  | — | Not Good | 49.2% | 2.1% | 1.6% | 61 090 | | ||
34 | | | — | Good | 51.3% | 2.1% | 1.1% | 60 766 | | ||
35 | |  | — | Not Good | 49.1% | 2.1% | 2.3% | 59 744 | | ||
36 | | | — | Great | 52.3% | 2.0% | 31.2% | 57 258 | | ||
37 | | | — | Optimal | 53.1% | 1.9% | 4.8% | 53 228 | | ||
38 | |  | — | Not Good | 47.7% | 1.8% | 1.7% | 51 384 | | ||
39 | | | — | Not Good | 47.8% | 1.7% | 5.3% | 47 632 | | ||
40 | |  | — | Situational | 50.5% | 1.6% | 1.3% | 46 224 | | ||