| Mjdapanda vs Hwoarang | 115–69 | 62.50% |
| Mjdapanda vs King | 98–77 | 56.00% |
| Mjdapanda vs Kazuya | 79–90 | 46.75% |
| Mjdapanda vs Law | 95–58–1 | 62.09% |
| Mjdapanda vs Bryan | 82–68 | 54.67% |
| Mjdapanda vs Jin | 77–70 | 52.38% |
| Mjdapanda vs Reina | 78–67 | 53.79% |
| Mjdapanda vs Steve | 67–62 | 51.94% |
| Mjdapanda vs Dragunov | 68–52 | 56.67% |
| Mjdapanda vs Lars | 47–67 | 41.23% |
| Mjdapanda vs Heihachi | 43–67 | 39.09% |
| Mjdapanda vs Fahkumram | 58–50 | 53.70% |
| Mjdapanda vs Yoshimitsu | 60–46 | 56.60% |
| Mjdapanda vs Armor King | 60–44 | 57.69% |
| Mjdapanda vs Azucena | 64–39 | 62.14% |
| Mjdapanda vs Nina | 53–40 | 56.99% |
| Mjdapanda vs Clive | 57–35 | 61.96% |
| Mjdapanda vs Lee | 52–39 | 57.14% |
| Mjdapanda vs Lili | 54–36 | 60.00% |
| Mjdapanda vs Raven | 56–34 | 62.22% |
| Mjdapanda vs Paul | 67–17 | 79.76% |
| Mjdapanda vs Devil Jin | 47–36 | 56.63% |
| Mjdapanda vs Eddy | 51–32 | 61.45% |
| Mjdapanda vs Asuka | 39–38 | 50.65% |
| Mjdapanda vs Jun | 40–36 | 52.63% |
| Mjdapanda vs Xiaoyu | 47–27 | 63.51% |
| Mjdapanda vs Leo | 40–31 | 56.34% |
| Mjdapanda vs Anna | 42–28 | 60.00% |
| Mjdapanda vs Feng | 33–33 | 50.00% |
| Mjdapanda vs Claudio | 40–23 | 63.49% |
| Mjdapanda vs Leroy | 33–29 | 53.23% |
| Mjdapanda vs Victor | 40–20 | 66.67% |
| Mjdapanda vs Alisa | 43–14 | 75.44% |
| Mjdapanda vs Miary Zo | 32–23 | 58.18% |
| Mjdapanda vs Jack-8 | 17–22 | 43.59% |
| Mjdapanda vs Zafina | 21–17 | 55.26% |
| Mjdapanda vs Kuma | 22–12 | 64.71% |
| Mjdapanda vs Shaheen | 19–13 | 59.38% |
| Mjdapanda vs Lidia | 14–17 | 45.16% |
| Mjdapanda vs Panda | 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.