| PAJU vs Clive | 65–61 | 51.59% |
| PAJU vs Dragunov | 42–45 | 48.28% |
| PAJU vs Jin | 48–38 | 55.81% |
| PAJU vs Paul | 50–34 | 59.52% |
| PAJU vs Hwoarang | 42–35 | 54.55% |
| PAJU vs Kazuya | 50–26 | 65.79% |
| PAJU vs Bryan | 43–26 | 62.32% |
| PAJU vs Steve | 35–28 | 55.56% |
| PAJU vs King | 27–34 | 44.26% |
| PAJU vs Heihachi | 29–27 | 51.79% |
| PAJU vs Lili | 32–22 | 59.26% |
| PAJU vs Yoshimitsu | 28–23 | 54.90% |
| PAJU vs Fahkumram | 34–16 | 68.00% |
| PAJU vs Victor | 31–16 | 65.96% |
| PAJU vs Armor King | 28–16 | 63.64% |
| PAJU vs Alisa | 26–16 | 61.90% |
| PAJU vs Nina | 18–24 | 42.86% |
| PAJU vs Devil Jin | 20–21 | 48.78% |
| PAJU vs Reina | 18–22 | 45.00% |
| PAJU vs Leroy | 20–19 | 51.28% |
| PAJU vs Claudio | 19–18 | 51.35% |
| PAJU vs Jun | 17–20 | 45.95% |
| PAJU vs Law | 18–18 | 50.00% |
| PAJU vs Jack-8 | 20–16 | 55.56% |
| PAJU vs Lars | 19–14 | 57.58% |
| PAJU vs Asuka | 16–16 | 50.00% |
| PAJU vs Azucena | 14–18 | 43.75% |
| PAJU vs Feng | 13–14 | 48.15% |
| PAJU vs Shaheen | 9–18 | 33.33% |
| PAJU vs Kuma | 16–11 | 59.26% |
| PAJU vs Leo | 12–11 | 52.17% |
| PAJU vs Lee | 14–9 | 60.87% |
| PAJU vs Zafina | 14–7 | 66.67% |
| PAJU vs Lidia | 6–15 | 28.57% |
| PAJU vs Raven | 12–7 | 63.16% |
| PAJU vs Eddy | 7–12 | 36.84% |
| PAJU vs Anna | 6–9 | 40.00% |
| PAJU vs Panda | 5–5 | 50.00% |
| PAJU vs Xiaoyu | 5–4 | 55.56% |
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.