| E1P1C vs Steve | 364–308 | 54.17% |
| E1P1C vs Hwoarang | 340–281 | 54.75% |
| E1P1C vs Law | 277–308 | 47.35% |
| E1P1C vs Jin | 323–258 | 55.59% |
| E1P1C vs Bryan | 304–274 | 52.60% |
| E1P1C vs Dragunov | 290–223–1 | 56.53% |
| E1P1C vs Yoshimitsu | 255–234 | 52.15% |
| E1P1C vs Lars | 259–229 | 53.07% |
| E1P1C vs Lili | 217–236 | 47.90% |
| E1P1C vs Kazuya | 224–188 | 54.37% |
| E1P1C vs King | 182–220–1 | 45.27% |
| E1P1C vs Lee | 238–160–1 | 59.80% |
| E1P1C vs Reina | 226–166 | 57.65% |
| E1P1C vs Feng | 187–187 | 50.00% |
| E1P1C vs Paul | 186–160 | 53.76% |
| E1P1C vs Heihachi | 197–144 | 57.77% |
| E1P1C vs Jun | 163–158 | 50.78% |
| E1P1C vs Asuka | 166–150 | 52.53% |
| E1P1C vs Leo | 148–160 | 48.05% |
| E1P1C vs Zafina | 172–127 | 57.53% |
| E1P1C vs Victor | 155–129 | 54.58% |
| E1P1C vs Nina | 143–140 | 50.53% |
| E1P1C vs Leroy | 157–125 | 55.67% |
| E1P1C vs Eddy | 145–116 | 55.56% |
| E1P1C vs Devil Jin | 139–119 | 53.88% |
| E1P1C vs Lidia | 136–100 | 57.63% |
| E1P1C vs Claudio | 108–127 | 45.96% |
| E1P1C vs Azucena | 121–114 | 51.49% |
| E1P1C vs Xiaoyu | 117–111 | 51.32% |
| E1P1C vs Raven | 108–117 | 48.00% |
| E1P1C vs Jack-8 | 130–86 | 60.19% |
| E1P1C vs Armor King | 98–116 | 45.79% |
| E1P1C vs Shaheen | 114–88 | 56.44% |
| E1P1C vs Anna | 99–91 | 52.11% |
| E1P1C vs Alisa | 86–100 | 46.24% |
| E1P1C vs Kuma | 96–87 | 52.46% |
| E1P1C vs Fahkumram | 80–93 | 46.24% |
| E1P1C vs Panda | 55–50 | 52.38% |
| E1P1C vs Clive | 52–47 | 52.53% |
| E1P1C vs Miary Zo | 28–39 | 41.79% |
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.