| pao625_pc vs Kazuya | 121–133 | 47.64% |
| pao625_pc vs Bryan | 123–120 | 50.62% |
| pao625_pc vs King | 131–108 | 54.81% |
| pao625_pc vs Jin | 106–95 | 52.74% |
| pao625_pc vs Steve | 91–76 | 54.49% |
| pao625_pc vs Dragunov | 77–79 | 49.36% |
| pao625_pc vs Heihachi | 38–68 | 35.85% |
| pao625_pc vs Law | 54–40 | 57.45% |
| pao625_pc vs Devil Jin | 50–43 | 53.76% |
| pao625_pc vs Reina | 54–35 | 60.67% |
| pao625_pc vs Armor King | 48–40 | 54.55% |
| pao625_pc vs Hwoarang | 34–48 | 41.46% |
| pao625_pc vs Lidia | 41–39 | 51.25% |
| pao625_pc vs Victor | 44–32 | 57.89% |
| pao625_pc vs Paul | 35–40 | 46.67% |
| pao625_pc vs Asuka | 32–36 | 47.06% |
| pao625_pc vs Lars | 31–35 | 46.97% |
| pao625_pc vs Lee | 32–34 | 48.48% |
| pao625_pc vs Clive | 29–35 | 45.31% |
| pao625_pc vs Lili | 28–31 | 47.46% |
| pao625_pc vs Yoshimitsu | 21–37 | 36.21% |
| pao625_pc vs Jun | 30–21 | 58.82% |
| pao625_pc vs Eddy | 29–19 | 60.42% |
| pao625_pc vs Alisa | 25–19 | 56.82% |
| pao625_pc vs Leo | 21–22 | 48.84% |
| pao625_pc vs Xiaoyu | 25–17 | 59.52% |
| pao625_pc vs Jack-8 | 20–21 | 48.78% |
| pao625_pc vs Feng | 15–24 | 38.46% |
| pao625_pc vs Anna | 18–19 | 48.65% |
| pao625_pc vs Azucena | 17–19 | 47.22% |
| pao625_pc vs Claudio | 16–14 | 53.33% |
| pao625_pc vs Shaheen | 11–18 | 37.93% |
| pao625_pc vs Nina | 12–15 | 44.44% |
| pao625_pc vs Raven | 11–16 | 40.74% |
| pao625_pc vs Fahkumram | 14–13 | 51.85% |
| pao625_pc vs Leroy | 14–9 | 60.87% |
| pao625_pc vs Kuma | 5–14 | 26.32% |
| pao625_pc vs Panda | 5–10 | 33.33% |
| pao625_pc vs Zafina | 7–7 | 50.00% |
| pao625_pc vs Miary Zo | 3–2 | 60.00% |
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.