26 picks, All ranks, Bot
Every pick of the role
| # | |||||||
|---|---|---|---|---|---|---|---|
| 1 | Kog'Maw1st of 26 | 60.8% | +5.4, +5.40 LP a game, ±2.68 (95% range), 211 games with LP | 217 | 1.5% | 0.54% | |
| 2 | Viktor2nd of 26 | 56.5% | +4.7, +4.70 LP a game, ±2.27 (95% range), 311 games with LP | 317 | 2.2% | 7.2% | |
| 3 | Yasuo3rd of 26 | 53.8% | +3.8, +3.80 LP a game, ±1.72 (95% range), 568 games with LP | 589 | 4.1% | 39.9% | |
| 4 | Jinx4th of 26 | 52.1% | +2.7, +2.70 LP a game, ±0.84 (95% range), 2,217 games with LP | 2,280 | 15.9% | 7.5% | |
| 5 | Tristana5th of 26 | 51.5% | +2.6, +2.60 LP a game, ±0.91 (95% range), 1,903 games with LP | 1,970 | 13.7% | 13.2% | |
| 6 | Zeri6th of 26 | 54.9% | +4.3, +4.30 LP a game, ±2.31 (95% range), 311 games with LP | 315 | 2.2% | 0.33% | |
| 7 | Caitlyn7th of 26 | 49.5% | +1.5, +1.50 LP a game, ±0.74 (95% range), 2,926 games with LP | 3,014 | 21.0% | 28.2% | |
| 8 | Draven8th of 26 | 51.5% | +2.2, +2.20 LP a game, ±1.43 (95% range), 794 games with LP | 813 | 5.7% | 15.3% | |
| 9 | Yunara9th of 26 | 52.2% | +2.6, +2.60 LP a game, ±1.47 (95% range), 719 games with LP | 740 | 5.1% | 1.7% | |
| 10 | Miss Fortune10th of 26 | 51.0% | +2.1, +2.10 LP a game, ±0.89 (95% range), 1,989 games with LP | 2,056 | 14.3% | 2.6% | |
| 11 | Twitch11th of 26 | 50.8% | +1.8, +1.80 LP a game, ±1.26 (95% range), 1,045 games with LP | 1,088 | 7.6% | 10.4% | |
| 12 | Smolder12th of 26 | 50.9% | +2.4, +2.40 LP a game, ±1.66 (95% range), 579 games with LP | 599 | 4.2% | 1.1% | |
| 13 | Katarina13th of 26 | 53.3% | +2.6, +2.60 LP a game, ±2.69 (95% range), 225 games with LP | 229 | 1.6% | 11.3% | |
| 14 | Aphelios14th of 26 | 49.7% | +2.0, +2.00 LP a game, ±1.58 (95% range), 624 games with LP | 646 | 4.5% | 1.2% | |
| 15 | Kalista15th of 26 | 49.8% | +2.8, +2.80 LP a game, ±2.50 (95% range), 256 games with LP | 261 | 1.8% | 0.31% | |
| 16 | Kai'Sa16th of 26 | 49.3% | +1.6, +1.60 LP a game, ±0.99 (95% range), 1,660 games with LP | 1,708 | 11.9% | 2.0% | |
| 17 | Xayah17th of 26 | 50.6% | +1.8, +1.80 LP a game, ±1.89 (95% range), 443 games with LP | 457 | 3.2% | 0.41% | |
| 18 | Lucian18th of 26 | 49.8% | +1.4, +1.40 LP a game, ±1.27 (95% range), 973 games with LP | 1,002 | 7.0% | 1.1% | |
| 19 | Jhin19th of 26 | 48.7% | +1.3, +1.30 LP a game, ±0.75 (95% range), 2,846 games with LP | 2,946 | 20.5% | 3.8% | |
| 20 | Samira20th of 26 | 47.6% | +0.9, +0.90 LP a game, ±1.18 (95% range), 1,115 games with LP | 1,164 | 8.1% | 19.6% | |
| 21 | Ashe21st of 26 | 48.6% | +1.6, +1.60 LP a game, ±1.37 (95% range), 867 games with LP | 893 | 6.2% | 1.5% | |
| 22 | Sivir22nd of 26 | 49.4% | +1.4, +1.40 LP a game, ±2.52 (95% range), 253 games with LP | 257 | 1.8% | 0.28% | |
| 23 | Vayne23rd of 26 | 48.1% | +1.2, +1.20 LP a game, ±1.58 (95% range), 667 games with LP | 695 | 4.8% | 4.5% | |
| 24 | Varus24th of 26 | 48.0% | +1.0, +1.00 LP a game, ±2.07 (95% range), 358 games with LP | 379 | 2.6% | 0.31% | |
| 25 | Ezreal25th of 26 | 44.9% | −0.3, −0.30 LP a game, ±1.22 (95% range), 1,107 games with LP | 1,140 | 7.9% | 2.2% | |
| 26 | Mel26th of 26 | 39.9% | −2.1, −2.10 LP a game, ±2.79 (95% range), 211 games with LP | 218 | 1.5% | 18.8% |
Grade: win rate and LP a game against the role
LP a game depends on rank: choose one rank to compare like with like.
Questions
What is the best bot champion in patch 26.20?
Kog'Maw is first of 26 bot picks by grade (win rate and LP a game): +5.4 LP a game (±2.68), 60.8% won over 217 games, all ranks, ME, patch 26.20. Then Viktor and Yasuo.
Which bot champion is banned most in patch 26.20?
Yasuo, banned in 39.9% of games in all ranks on ME. A ban is the champion's, whatever its role.
Why does almost every champion gain LP?
The ladder gains LP overall: in all ranks a win paid +21.2 and a loss cost −17.6. Compare a pick with the rank average, not with 0.
Is this the same as win rate?
No. Picks with the same win rate can earn different LP, because LP per win and per loss vary with rank.
Where do these numbers come from?
Ranked Solo and Flex games on ME in patch 26.20, for the rank chosen.How we measure