| Dimmamba vs Kazuya | 117–109 | 51.77% |
| Dimmamba vs Bryan | 99–82 | 54.70% |
| Dimmamba vs Hwoarang | 110–61 | 64.33% |
| Dimmamba vs King | 100–70 | 58.82% |
| Dimmamba vs Jin | 97–68 | 58.79% |
| Dimmamba vs Heihachi | 76–80 | 48.72% |
| Dimmamba vs Law | 73–67 | 52.14% |
| Dimmamba vs Reina | 66–64 | 50.77% |
| Dimmamba vs Dragunov | 69–52 | 57.02% |
| Dimmamba vs Yoshimitsu | 48–71 | 40.34% |
| Dimmamba vs Paul | 60–56 | 51.72% |
| Dimmamba vs Lili | 51–46 | 52.58% |
| Dimmamba vs Steve | 45–51 | 46.88% |
| Dimmamba vs Lee | 58–36 | 61.70% |
| Dimmamba vs Devil Jin | 39–42 | 48.15% |
| Dimmamba vs Jun | 46–35 | 56.79% |
| Dimmamba vs Xiaoyu | 43–34 | 55.84% |
| Dimmamba vs Feng | 34–34 | 50.00% |
| Dimmamba vs Asuka | 34–32 | 51.52% |
| Dimmamba vs Lidia | 35–29 | 54.69% |
| Dimmamba vs Lars | 26–36 | 41.94% |
| Dimmamba vs Nina | 32–27 | 54.24% |
| Dimmamba vs Jack-8 | 32–25 | 56.14% |
| Dimmamba vs Eddy | 29–28 | 50.88% |
| Dimmamba vs Raven | 16–32 | 33.33% |
| Dimmamba vs Victor | 27–20 | 57.45% |
| Dimmamba vs Clive | 24–23 | 51.06% |
| Dimmamba vs Armor King | 30–17 | 63.83% |
| Dimmamba vs Alisa | 19–26 | 42.22% |
| Dimmamba vs Azucena | 22–19 | 53.66% |
| Dimmamba vs Leroy | 23–17 | 57.50% |
| Dimmamba vs Leo | 18–17 | 51.43% |
| Dimmamba vs Shaheen | 18–16 | 52.94% |
| Dimmamba vs Kuma | 15–16 | 48.39% |
| Dimmamba vs Zafina | 19–10 | 65.52% |
| Dimmamba vs Claudio | 12–15 | 44.44% |
| Dimmamba vs Anna | 11–14 | 44.00% |
| Dimmamba vs Fahkumram | 6–13 | 31.58% |
| Dimmamba vs Panda | 2–2 | 50.00% |
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.