| UNKNOWN vs Jin | 251–147 | 63.07% |
| UNKNOWN vs Kazuya | 232–162 | 58.88% |
| UNKNOWN vs Bryan | 217–143 | 60.28% |
| UNKNOWN vs Dragunov | 198–143 | 58.06% |
| UNKNOWN vs King | 197–121 | 61.95% |
| UNKNOWN vs Law | 186–91 | 67.15% |
| UNKNOWN vs Hwoarang | 147–94 | 61.00% |
| UNKNOWN vs Paul | 151–80 | 65.37% |
| UNKNOWN vs Yoshimitsu | 124–66 | 65.26% |
| UNKNOWN vs Heihachi | 97–89 | 52.15% |
| UNKNOWN vs Steve | 114–71 | 61.62% |
| UNKNOWN vs Feng | 95–75 | 55.88% |
| UNKNOWN vs Devil Jin | 102–65 | 61.08% |
| UNKNOWN vs Alisa | 106–54 | 66.25% |
| UNKNOWN vs Reina | 93–62 | 60.00% |
| UNKNOWN vs Lili | 92–60 | 60.53% |
| UNKNOWN vs Lee | 86–66 | 56.58% |
| UNKNOWN vs Lars | 72–73 | 49.66% |
| UNKNOWN vs Nina | 77–45 | 63.11% |
| UNKNOWN vs Victor | 86–34 | 71.67% |
| UNKNOWN vs Asuka | 75–43 | 63.56% |
| UNKNOWN vs Xiaoyu | 77–36–1 | 68.14% |
| UNKNOWN vs Eddy | 64–38 | 62.75% |
| UNKNOWN vs Jun | 64–34 | 65.31% |
| UNKNOWN vs Claudio | 56–38 | 59.57% |
| UNKNOWN vs Azucena | 60–27 | 68.97% |
| UNKNOWN vs Jack-8 | 43–43 | 50.00% |
| UNKNOWN vs Leroy | 47–32 | 59.49% |
| UNKNOWN vs Clive | 41–34 | 54.67% |
| UNKNOWN vs Lidia | 34–37 | 47.89% |
| UNKNOWN vs Fahkumram | 37–32 | 53.62% |
| UNKNOWN vs Leo | 43–23 | 65.15% |
| UNKNOWN vs Anna | 26–36 | 41.94% |
| UNKNOWN vs Armor King | 33–22 | 60.00% |
| UNKNOWN vs Kuma | 34–20 | 62.96% |
| UNKNOWN vs Zafina | 31–19 | 62.00% |
| UNKNOWN vs Raven | 22–24 | 47.83% |
| UNKNOWN vs Shaheen | 19–24 | 44.19% |
| UNKNOWN vs Panda | 12–10 | 54.55% |
| UNKNOWN vs Miary Zo | 11–10 | 52.38% |
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.