| Panda vs King | 63–45 | 58.33% |
| Panda vs Hwoarang | 60–48 | 55.56% |
| Panda vs Bryan | 56–35 | 61.54% |
| Panda vs Steve | 46–41 | 52.87% |
| Panda vs Kazuya | 46–34 | 57.50% |
| Panda vs Jin | 51–27 | 65.38% |
| Panda vs Dragunov | 33–40 | 45.21% |
| Panda vs Lili | 29–37 | 43.94% |
| Panda vs Xiaoyu | 30–35 | 46.15% |
| Panda vs Reina | 38–27 | 58.46% |
| Panda vs Lee | 33–29 | 53.23% |
| Panda vs Lars | 35–26 | 57.38% |
| Panda vs Azucena | 31–30 | 50.82% |
| Panda vs Yoshimitsu | 33–25 | 56.90% |
| Panda vs Law | 26–28 | 48.15% |
| Panda vs Jun | 17–34 | 33.33% |
| Panda vs Victor | 28–20 | 58.33% |
| Panda vs Devil Jin | 28–19 | 59.57% |
| Panda vs Asuka | 20–25 | 44.44% |
| Panda vs Paul | 23–21 | 52.27% |
| Panda vs Feng | 21–17 | 55.26% |
| Panda vs Leo | 19–19 | 50.00% |
| Panda vs Nina | 20–18 | 52.63% |
| Panda vs Alisa | 18–19 | 48.65% |
| Panda vs Raven | 19–18 | 51.35% |
| Panda vs Leroy | 20–13 | 60.61% |
| Panda vs Jack-8 | 10–18 | 35.71% |
| Panda vs Eddy | 15–11 | 57.69% |
| Panda vs Claudio | 14–11 | 56.00% |
| Panda vs Kuma | 11–14 | 44.00% |
| Panda vs Panda | 12–13 | 48.00% |
| Panda vs Heihachi | 16–7 | 69.57% |
| Panda vs Lidia | 10–11 | 47.62% |
| Panda vs Zafina | 12–7 | 63.16% |
| Panda vs Shaheen | 9–7 | 56.25% |
| Panda vs Anna | 8–8 | 50.00% |
| Panda vs Clive | 6–8 | 42.86% |
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.