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 |  |  | — |  Great | 51.1% | 11.3% | 9.8% | 323 506 |      | ||
2 | |  | — |  Good | 49.7% | 9.9% | 23.3% | 283 302 |    | ||
3 | |  | — |  Situational | 48.7% | 9.3% | 10.4% | 266 808 |  | ||
4 | |  | — | Great | 50.7% | 8.1% | 7.1% | 231 324 |   | ||
5 | |  | — | Good | 50.0% | 7.0% | 16.2% | 201 363 | | ||
6 | |  | — | Great | 51.3% | 6.6% | 8.3% | 189 022 |  | ||
7 | | | — | Great | 51.3% | 6.1% | 27.4% | 173 994 |  | ||
8 | |  | — | Good | 50.2% | 5.8% | 14.3% | 167 078 |  | ||
9 | | | — |  Optimal | 52.7% | 5.6% | 7.3% | 161 881 | | ||
10 | | | — | Optimal | 53.7% | 5.6% | 12.2% | 160 894 |  | ||
11 | | | — | Great | 52.2% | 5.4% | 10.8% | 155 669 | | ||
12 | |  | — | Good | 50.6% | 5.1% | 8.1% | 146 367 |  | ||
13 | |  | — | Situational | 49.6% | 5.0% | 36.7% | 144 737 |  | ||
14 | |  | — | Situational | 49.8% | 4.9% | 2.8% | 141 079 | | ||
15 | | | — | Situational | 49.5% | 4.9% | 2.3% | 139 420 | | ||
16 | |  | — | Good | 50.8% | 4.6% | 1.2% | 131 517 | | ||
17 | | | — | Optimal | 52.6% | 4.2% | 3.5% | 121 050 | | ||
18 | | | — | Optimal | 52.7% | 4.0% | 13.9% | 113 604 |  | ||
19 | | | — | Good | 51.1% | 3.8% | 2.9% | 109 472 |  | ||
20 | | | — | Good | 50.8% | 3.8% | 1.8% | 108 603 | | ||
21 | |  | — |  Not Good | 45.2% | 3.7% | 2.2% | 106 818 | | ||
22 | | | — | Good | 50.6% | 3.6% | 1.3% | 103 629 | | ||
23 | |  | — | Not Good | 47.8% | 3.5% | 23.6% | 101 957 | | ||
24 | |  | — | Not Good | 49.5% | 3.4% | 49.7% | 96 972 | | ||
25 | |  | — | Not Good | 48.8% | 3.2% | 0.7% | 92 445 | | ||
26 | | | — | Good | 50.9% | 3.0% | 0.8% | 85 386 | | ||
27 | | | — | Great | 51.8% | 2.9% | 3.2% | 82 218 | | ||
28 | |  | — | Not Good | 44.4% | 2.5% | 1.7% | 71 684 | | ||
29 | |  | — | Not Good | 48.8% | 2.5% | 1.0% | 70 815 | | ||
30 | | | — | Situational | 50.4% | 2.4% | 2.2% | 69 063 |  | ||
31 | | | — | Situational | 49.9% | 2.4% | 5.7% | 68 963 | | ||
32 | | | — | Situational | 50.1% | 2.3% | 1.0% | 66 196 | | ||
33 | |  | — | Not Good | 49.1% | 2.3% | 1.0% | 65 397 | | ||
34 | | | — | Good | 50.9% | 2.2% | 0.9% | 62 104 | | ||
35 | | | — | Not Good | 49.7% | 2.2% | 0.3% | 62 032 | | ||
36 | | | — | Great | 52.3% | 2.2% | 5.3% | 62 030 | | ||
37 | | | — | Good | 50.7% | 2.1% | 1.1% | 61 095 | | ||
38 | | | — | Situational | 50.3% | 2.0% | 0.5% | 56 479 | | ||
39 | |  | — | Not Good | 47.2% | 2.0% | 0.8% | 56 335 | | ||
40 | |  | — | Not Good | 48.3% | 1.9% | 0.7% | 53 763 |  | ||