| Katk1n vs Kazuya | 339–275 | 55.21% |
| Katk1n vs Jin | 282–223 | 55.84% |
| Katk1n vs Bryan | 241–230 | 51.17% |
| Katk1n vs Hwoarang | 200–183 | 52.22% |
| Katk1n vs Reina | 236–144 | 62.11% |
| Katk1n vs Dragunov | 191–165 | 53.65% |
| Katk1n vs Heihachi | 165–187 | 46.88% |
| Katk1n vs King | 184–165 | 52.72% |
| Katk1n vs Paul | 186–151 | 55.19% |
| Katk1n vs Law | 172–147 | 53.92% |
| Katk1n vs Lili | 205–110 | 65.08% |
| Katk1n vs Steve | 149–123 | 54.78% |
| Katk1n vs Devil Jin | 149–110 | 57.53% |
| Katk1n vs Yoshimitsu | 155–91 | 63.01% |
| Katk1n vs Lee | 112–128 | 46.67% |
| Katk1n vs Asuka | 94–106 | 47.00% |
| Katk1n vs Jun | 122–68 | 64.21% |
| Katk1n vs Feng | 94–93 | 50.27% |
| Katk1n vs Nina | 92–71 | 56.44% |
| Katk1n vs Leo | 86–75 | 53.42% |
| Katk1n vs Azucena | 84–74 | 53.16% |
| Katk1n vs Lars | 71–81 | 46.71% |
| Katk1n vs Anna | 77–73 | 51.33% |
| Katk1n vs Claudio | 69–78 | 46.94% |
| Katk1n vs Xiaoyu | 67–78 | 46.21% |
| Katk1n vs Leroy | 92–53 | 63.45% |
| Katk1n vs Lidia | 80–61 | 56.74% |
| Katk1n vs Jack-8 | 67–70 | 48.91% |
| Katk1n vs Alisa | 70–66 | 51.47% |
| Katk1n vs Victor | 75–59 | 55.97% |
| Katk1n vs Clive | 75–57 | 56.82% |
| Katk1n vs Eddy | 54–67 | 44.63% |
| Katk1n vs Raven | 61–55 | 52.59% |
| Katk1n vs Fahkumram | 63–48 | 56.76% |
| Katk1n vs Shaheen | 42–52 | 44.68% |
| Katk1n vs Armor King | 44–45 | 49.44% |
| Katk1n vs Zafina | 36–47 | 43.37% |
| Katk1n vs Kuma | 26–29 | 47.27% |
| Katk1n vs Panda | 20–20 | 50.00% |
| Katk1n vs Miary Zo | 10–11 | 47.62% |
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.