| Soggywood vs Jin | 368–298 | 55.26% |
| Soggywood vs King | 254–296 | 46.18% |
| Soggywood vs Hwoarang | 296–234 | 55.85% |
| Soggywood vs Law | 278–233 | 54.40% |
| Soggywood vs Steve | 266–240 | 52.57% |
| Soggywood vs Lars | 220–265 | 45.36% |
| Soggywood vs Bryan | 258–220 | 53.97% |
| Soggywood vs Kazuya | 245–227 | 51.91% |
| Soggywood vs Dragunov | 219–208 | 51.29% |
| Soggywood vs Reina | 197–225 | 46.68% |
| Soggywood vs Yoshimitsu | 214–199 | 51.82% |
| Soggywood vs Paul | 196–199 | 49.62% |
| Soggywood vs Lee | 213–173 | 55.18% |
| Soggywood vs Xiaoyu | 216–164 | 56.84% |
| Soggywood vs Lili | 197–178 | 52.53% |
| Soggywood vs Devil Jin | 163–172 | 48.66% |
| Soggywood vs Asuka | 172–155 | 52.60% |
| Soggywood vs Heihachi | 161–166 | 49.24% |
| Soggywood vs Eddy | 157–169 | 48.16% |
| Soggywood vs Leo | 165–151 | 52.22% |
| Soggywood vs Nina | 170–143 | 54.31% |
| Soggywood vs Feng | 145–155 | 48.33% |
| Soggywood vs Jun | 160–137 | 53.87% |
| Soggywood vs Victor | 114–176 | 39.31% |
| Soggywood vs Raven | 154–133 | 53.66% |
| Soggywood vs Leroy | 124–139 | 47.15% |
| Soggywood vs Zafina | 130–129 | 50.19% |
| Soggywood vs Jack-8 | 108–146 | 42.52% |
| Soggywood vs Azucena | 144–107 | 57.37% |
| Soggywood vs Alisa | 115–122 | 48.52% |
| Soggywood vs Lidia | 96–127 | 43.05% |
| Soggywood vs Claudio | 99–121 | 45.00% |
| Soggywood vs Kuma | 56–108 | 34.15% |
| Soggywood vs Shaheen | 72–65 | 52.55% |
| Soggywood vs Panda | 26–52 | 33.33% |
| Soggywood vs Clive | 29–49 | 37.18% |
| Soggywood vs Anna | 1–2 | 33.33% |
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.