| dmitrysofa vs King | 186–120 | 60.78% |
| dmitrysofa vs Yoshimitsu | 165–131 | 55.74% |
| dmitrysofa vs Hwoarang | 164–129 | 55.97% |
| dmitrysofa vs Dragunov | 172–116 | 59.72% |
| dmitrysofa vs Bryan | 158–128 | 55.24% |
| dmitrysofa vs Lee | 173–103 | 62.68% |
| dmitrysofa vs Kazuya | 133–104 | 56.12% |
| dmitrysofa vs Jin | 136–91 | 59.91% |
| dmitrysofa vs Steve | 108–115 | 48.43% |
| dmitrysofa vs Paul | 128–85 | 60.09% |
| dmitrysofa vs Reina | 127–79 | 61.65% |
| dmitrysofa vs Lars | 90–103 | 46.63% |
| dmitrysofa vs Asuka | 102–87 | 53.97% |
| dmitrysofa vs Devil Jin | 91–73 | 55.49% |
| dmitrysofa vs Law | 92–67 | 57.86% |
| dmitrysofa vs Alisa | 71–77 | 47.97% |
| dmitrysofa vs Feng | 78–62 | 55.71% |
| dmitrysofa vs Claudio | 79–59 | 57.25% |
| dmitrysofa vs Nina | 54–81 | 40.00% |
| dmitrysofa vs Lili | 67–64 | 51.15% |
| dmitrysofa vs Leo | 74–52 | 58.73% |
| dmitrysofa vs Zafina | 70–54 | 56.45% |
| dmitrysofa vs Jack-8 | 72–48 | 60.00% |
| dmitrysofa vs Lidia | 87–30 | 74.36% |
| dmitrysofa vs Heihachi | 63–51 | 55.26% |
| dmitrysofa vs Jun | 67–39 | 63.21% |
| dmitrysofa vs Azucena | 70–32 | 68.63% |
| dmitrysofa vs Kuma | 41–52 | 44.09% |
| dmitrysofa vs Shaheen | 43–37 | 53.75% |
| dmitrysofa vs Leroy | 36–41 | 46.75% |
| dmitrysofa vs Xiaoyu | 39–36 | 52.00% |
| dmitrysofa vs Raven | 26–49 | 34.67% |
| dmitrysofa vs Victor | 30–29 | 50.85% |
| dmitrysofa vs Clive | 25–26 | 49.02% |
| dmitrysofa vs Eddy | 18–32 | 36.00% |
| dmitrysofa vs Panda | 8–17 | 32.00% |
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.