| PajPaj vs Kazuya | 31–22 | 58.49% |
| PajPaj vs Armor King | 20–23 | 46.51% |
| PajPaj vs King | 18–24 | 42.86% |
| PajPaj vs Jin | 11–25 | 30.56% |
| PajPaj vs Steve | 18–13 | 58.06% |
| PajPaj vs Yoshimitsu | 17–12 | 58.62% |
| PajPaj vs Paul | 11–14 | 44.00% |
| PajPaj vs Dragunov | 6–17 | 26.09% |
| PajPaj vs Law | 13–9 | 59.09% |
| PajPaj vs Reina | 11–10 | 52.38% |
| PajPaj vs Hwoarang | 4–14 | 22.22% |
| PajPaj vs Victor | 6–11 | 35.29% |
| PajPaj vs Bryan | 3–13 | 18.75% |
| PajPaj vs Heihachi | 9–7 | 56.25% |
| PajPaj vs Feng | 5–10 | 33.33% |
| PajPaj vs Lars | 8–7 | 53.33% |
| PajPaj vs Eddy | 8–7 | 53.33% |
| PajPaj vs Miary Zo | 6–8 | 42.86% |
| PajPaj vs Devil Jin | 2–9 | 18.18% |
| PajPaj vs Nina | 5–6 | 45.45% |
| PajPaj vs Lili | 1–9 | 10.00% |
| PajPaj vs Azucena | 2–7 | 22.22% |
| PajPaj vs Asuka | 2–6 | 25.00% |
| PajPaj vs Raven | 4–4 | 50.00% |
| PajPaj vs Claudio | 3–4 | 42.86% |
| PajPaj vs Jun | 2–5 | 28.57% |
| PajPaj vs Fahkumram | 3–4 | 42.86% |
| PajPaj vs Lee | 1–5 | 16.67% |
| PajPaj vs Zafina | 2–4 | 33.33% |
| PajPaj vs Clive | 2–4 | 33.33% |
| PajPaj vs Lidia | 1–4 | 20.00% |
| PajPaj vs Alisa | 2–2 | 50.00% |
| PajPaj vs Anna | 1–3 | 25.00% |
| PajPaj vs Xiaoyu | 2–1 | 66.67% |
| PajPaj vs Leo | 2–1 | 66.67% |
| PajPaj vs Shaheen | 1–2 | 33.33% |
| PajPaj vs Panda | 1–2 | 33.33% |
| PajPaj vs Leroy | 0–1 | 0.00% |
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.