| DUNDUN_ vs Kazuya | 77–59 | 56.62% |
| DUNDUN_ vs Bryan | 78–56 | 58.21% |
| DUNDUN_ vs Dragunov | 67–42 | 61.47% |
| DUNDUN_ vs Steve | 62–46 | 57.41% |
| DUNDUN_ vs King | 57–39 | 59.38% |
| DUNDUN_ vs Hwoarang | 64–31 | 67.37% |
| DUNDUN_ vs Fahkumram | 52–26 | 66.67% |
| DUNDUN_ vs Heihachi | 36–40 | 47.37% |
| DUNDUN_ vs Law | 42–32 | 56.76% |
| DUNDUN_ vs Jin | 38–35 | 52.05% |
| DUNDUN_ vs Reina | 37–33 | 52.86% |
| DUNDUN_ vs Anna | 40–30 | 57.14% |
| DUNDUN_ vs Armor King | 33–35 | 48.53% |
| DUNDUN_ vs Lars | 37–30 | 55.22% |
| DUNDUN_ vs Paul | 35–30 | 53.85% |
| DUNDUN_ vs Asuka | 34–30 | 53.12% |
| DUNDUN_ vs Feng | 27–30 | 47.37% |
| DUNDUN_ vs Azucena | 40–15 | 72.73% |
| DUNDUN_ vs Victor | 30–25 | 54.55% |
| DUNDUN_ vs Miary Zo | 23–26 | 46.94% |
| DUNDUN_ vs Devil Jin | 28–20 | 58.33% |
| DUNDUN_ vs Claudio | 28–20 | 58.33% |
| DUNDUN_ vs Clive | 30–15 | 66.67% |
| DUNDUN_ vs Nina | 23–21 | 52.27% |
| DUNDUN_ vs Xiaoyu | 26–17 | 60.47% |
| DUNDUN_ vs Jack-8 | 29–13 | 69.05% |
| DUNDUN_ vs Lili | 25–17 | 59.52% |
| DUNDUN_ vs Leroy | 21–21 | 50.00% |
| DUNDUN_ vs Lee | 19–22 | 46.34% |
| DUNDUN_ vs Yoshimitsu | 21–15 | 58.33% |
| DUNDUN_ vs Zafina | 19–16 | 54.29% |
| DUNDUN_ vs Jun | 17–17 | 50.00% |
| DUNDUN_ vs Lidia | 23–11 | 67.65% |
| DUNDUN_ vs Raven | 15–17 | 46.88% |
| DUNDUN_ vs Leo | 16–12 | 57.14% |
| DUNDUN_ vs Alisa | 19–6 | 76.00% |
| DUNDUN_ vs Shaheen | 15–10 | 60.00% |
| DUNDUN_ vs Kuma | 12–6 | 66.67% |
| DUNDUN_ vs Eddy | 8–7 | 53.33% |
| DUNDUN_ vs Panda | 4–7 | 36.36% |
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.