Name history
| Alch | |
| giant swinger | |
| gigantic swinge | |
| tricep pushdown | |
| alchemist | |
| Morggot | |
| Goblin | |
| Ashen one | |
| toyota | |
| Ultraviolet | |
| ايلدن لورد |
| Alch vs Kazuya | 217–148 | 59.45% |
| Alch vs Jin | 193–120 | 61.66% |
| Alch vs King | 173–106 | 62.01% |
| Alch vs Dragunov | 136–109 | 55.51% |
| Alch vs Bryan | 113–90 | 55.67% |
| Alch vs Law | 74–62 | 54.41% |
| Alch vs Paul | 79–49 | 61.72% |
| Alch vs Yoshimitsu | 66–62 | 51.56% |
| Alch vs Hwoarang | 84–43 | 66.14% |
| Alch vs Steve | 87–37 | 70.16% |
| Alch vs Heihachi | 86–37 | 69.92% |
| Alch vs Reina | 63–53 | 54.31% |
| Alch vs Lili | 61–45 | 57.55% |
| Alch vs Lee | 65–37 | 63.73% |
| Alch vs Devil Jin | 47–51 | 47.96% |
| Alch vs Jun | 54–41 | 56.84% |
| Alch vs Eddy | 60–31 | 65.93% |
| Alch vs Alisa | 45–45 | 50.00% |
| Alch vs Lars | 49–39 | 55.68% |
| Alch vs Nina | 60–27 | 68.97% |
| Alch vs Asuka | 49–27 | 64.47% |
| Alch vs Feng | 43–32 | 57.33% |
| Alch vs Victor | 46–26 | 63.89% |
| Alch vs Armor King | 38–33 | 53.52% |
| Alch vs Azucena | 40–19 | 67.80% |
| Alch vs Leo | 31–27 | 53.45% |
| Alch vs Claudio | 29–28 | 50.88% |
| Alch vs Lidia | 28–21 | 57.14% |
| Alch vs Kuma | 23–19 | 54.76% |
| Alch vs Xiaoyu | 22–19 | 53.66% |
| Alch vs Raven | 20–13 | 60.61% |
| Alch vs Zafina | 16–16 | 50.00% |
| Alch vs Leroy | 16–13 | 55.17% |
| Alch vs Miary Zo | 14–14 | 50.00% |
| Alch vs Shaheen | 15–12 | 55.56% |
| Alch vs Jack-8 | 7–14 | 33.33% |
| Alch vs Clive | 14–7 | 66.67% |
| Alch vs Fahkumram | 11–4 | 73.33% |
| Alch vs Anna | 6–6 | 50.00% |
| Alch vs Panda | 7–4 | 63.64% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.