| Fillets vs King | 99–103 | 49.01% |
| Fillets vs Jin | 75–101 | 42.61% |
| Fillets vs Kazuya | 90–82 | 52.33% |
| Fillets vs Bryan | 65–95 | 40.62% |
| Fillets vs Steve | 72–73 | 49.66% |
| Fillets vs Dragunov | 67–74 | 47.52% |
| Fillets vs Paul | 55–67 | 45.08% |
| Fillets vs Hwoarang | 55–54 | 50.46% |
| Fillets vs Lili | 43–60 | 41.75% |
| Fillets vs Reina | 46–55 | 45.54% |
| Fillets vs Lars | 46–52 | 46.94% |
| Fillets vs Yoshimitsu | 55–37 | 59.78% |
| Fillets vs Lee | 40–51 | 43.96% |
| Fillets vs Victor | 46–40 | 53.49% |
| Fillets vs Devil Jin | 41–33 | 55.41% |
| Fillets vs Feng | 32–37 | 46.38% |
| Fillets vs Law | 28–40 | 41.18% |
| Fillets vs Alisa | 41–25 | 62.12% |
| Fillets vs Eddy | 21–44 | 32.31% |
| Fillets vs Xiaoyu | 23–38 | 37.70% |
| Fillets vs Jun | 32–27 | 54.24% |
| Fillets vs Azucena | 27–29 | 48.21% |
| Fillets vs Asuka | 21–32 | 39.62% |
| Fillets vs Kuma | 18–34 | 34.62% |
| Fillets vs Nina | 23–24 | 48.94% |
| Fillets vs Jack-8 | 20–25 | 44.44% |
| Fillets vs Leo | 24–20 | 54.55% |
| Fillets vs Claudio | 17–23 | 42.50% |
| Fillets vs Leroy | 8–19 | 29.63% |
| Fillets vs Raven | 5–16 | 23.81% |
| Fillets vs Shaheen | 10–7 | 58.82% |
| Fillets vs Zafina | 5–7 | 41.67% |
| Fillets vs Armor King | 4–3 | 57.14% |
| Fillets vs Panda | 0–5 | 0.00% |
| Fillets vs Lidia | 2–2 | 50.00% |
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.