| PERRO vs King | 61–75 | 44.85% |
| PERRO vs Law | 54–56 | 49.09% |
| PERRO vs Jin | 54–54 | 50.00% |
| PERRO vs Reina | 44–51 | 46.32% |
| PERRO vs Kazuya | 48–43 | 52.75% |
| PERRO vs Steve | 44–32 | 57.89% |
| PERRO vs Bryan | 42–31 | 57.53% |
| PERRO vs Jun | 25–40 | 38.46% |
| PERRO vs Hwoarang | 38–25 | 60.32% |
| PERRO vs Yoshimitsu | 37–20–1 | 64.91% |
| PERRO vs Lili | 23–35 | 39.66% |
| PERRO vs Lars | 22–34 | 39.29% |
| PERRO vs Asuka | 30–25 | 54.55% |
| PERRO vs Dragunov | 32–21 | 60.38% |
| PERRO vs Azucena | 15–36 | 29.41% |
| PERRO vs Heihachi | 19–30 | 38.78% |
| PERRO vs Paul | 22–18 | 55.00% |
| PERRO vs Jack-8 | 14–25 | 35.90% |
| PERRO vs Lidia | 22–16 | 57.89% |
| PERRO vs Alisa | 21–16 | 56.76% |
| PERRO vs Victor | 15–21 | 41.67% |
| PERRO vs Devil Jin | 20–15 | 57.14% |
| PERRO vs Eddy | 21–14 | 60.00% |
| PERRO vs Leroy | 20–14 | 58.82% |
| PERRO vs Xiaoyu | 14–18 | 43.75% |
| PERRO vs Nina | 16–16 | 50.00% |
| PERRO vs Feng | 12–18 | 40.00% |
| PERRO vs Lee | 17–11 | 60.71% |
| PERRO vs Clive | 14–14 | 50.00% |
| PERRO vs Kuma | 10–17 | 37.04% |
| PERRO vs Shaheen | 10–12 | 45.45% |
| PERRO vs Claudio | 6–13 | 31.58% |
| PERRO vs Leo | 10–4 | 71.43% |
| PERRO vs Panda | 5–9 | 35.71% |
| PERRO vs Anna | 6–4 | 60.00% |
| PERRO vs Zafina | 7–2 | 77.78% |
| PERRO vs Raven | 4–1 | 80.00% |
| PERRO vs Miary Zo | 1–0 | 100.00% |
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.