L0YalLaW vs Kazuya | 212–183 | 53.67% |
L0YalLaW vs Jin | 204–181 | 52.99% |
L0YalLaW vs Bryan | 179–184 | 49.31% |
L0YalLaW vs Hwoarang | 190–150 | 55.88% |
L0YalLaW vs Law | 189–129 | 59.43% |
L0YalLaW vs King | 160–140 | 53.33% |
L0YalLaW vs Reina | 171–129 | 57.00% |
L0YalLaW vs Dragunov | 143–142 | 50.18% |
L0YalLaW vs Steve | 136–139 | 49.45% |
L0YalLaW vs Lee | 123–119 | 50.83% |
L0YalLaW vs Paul | 104–123 | 45.81% |
L0YalLaW vs Lili | 107–114 | 48.42% |
L0YalLaW vs Azucena | 115–101 | 53.24% |
L0YalLaW vs Jun | 104–98 | 51.49% |
L0YalLaW vs Lars | 100–96 | 51.02% |
L0YalLaW vs Feng | 92–97 | 48.68% |
L0YalLaW vs Yoshimitsu | 84–100 | 45.65% |
L0YalLaW vs Nina | 81–101 | 44.51% |
L0YalLaW vs Eddy | 98–82 | 54.44% |
L0YalLaW vs Asuka | 72–100 | 41.86% |
L0YalLaW vs Victor | 62–85 | 42.18% |
L0YalLaW vs Raven | 56–83 | 40.29% |
L0YalLaW vs Leo | 56–77 | 42.11% |
L0YalLaW vs Devil Jin | 58–74 | 43.94% |
L0YalLaW vs Xiaoyu | 60–60 | 50.00% |
L0YalLaW vs Lidia | 57–61 | 48.31% |
L0YalLaW vs Leroy | 52–61 | 46.02% |
L0YalLaW vs Jack-8 | 52–59 | 46.85% |
L0YalLaW vs Heihachi | 52–50 | 50.98% |
L0YalLaW vs Alisa | 38–53 | 41.76% |
L0YalLaW vs Zafina | 29–54 | 34.94% |
L0YalLaW vs Shaheen | 39–40 | 49.37% |
L0YalLaW vs Claudio | 27–32 | 45.76% |
L0YalLaW vs Kuma | 18–35 | 33.96% |
L0YalLaW vs Clive | 15–29 | 34.09% |
L0YalLaW vs Panda | 13–4 | 76.47% |
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.