| Dakuroz vs Jin | 32–40 | 44.44% |
| Dakuroz vs Kazuya | 27–27 | 50.00% |
| Dakuroz vs Dragunov | 22–27 | 44.90% |
| Dakuroz vs King | 19–22 | 46.34% |
| Dakuroz vs Reina | 21–18 | 53.85% |
| Dakuroz vs Lili | 18–17 | 51.43% |
| Dakuroz vs Steve | 9–24 | 27.27% |
| Dakuroz vs Law | 8–20 | 28.57% |
| Dakuroz vs Hwoarang | 11–17 | 39.29% |
| Dakuroz vs Heihachi | 13–15 | 46.43% |
| Dakuroz vs Bryan | 10–17 | 37.04% |
| Dakuroz vs Devil Jin | 12–15 | 44.44% |
| Dakuroz vs Paul | 11–12 | 47.83% |
| Dakuroz vs Alisa | 14–9 | 60.87% |
| Dakuroz vs Clive | 8–15 | 34.78% |
| Dakuroz vs Nina | 6–13 | 31.58% |
| Dakuroz vs Lidia | 8–11 | 42.11% |
| Dakuroz vs Lars | 5–13 | 27.78% |
| Dakuroz vs Claudio | 7–11 | 38.89% |
| Dakuroz vs Leroy | 5–13 | 27.78% |
| Dakuroz vs Eddy | 8–10 | 44.44% |
| Dakuroz vs Lee | 7–10 | 41.18% |
| Dakuroz vs Jun | 7–9 | 43.75% |
| Dakuroz vs Azucena | 7–8 | 46.67% |
| Dakuroz vs Yoshimitsu | 9–5 | 64.29% |
| Dakuroz vs Asuka | 5–9 | 35.71% |
| Dakuroz vs Xiaoyu | 5–8 | 38.46% |
| Dakuroz vs Jack-8 | 3–8 | 27.27% |
| Dakuroz vs Feng | 4–6 | 40.00% |
| Dakuroz vs Zafina | 7–3 | 70.00% |
| Dakuroz vs Leo | 6–3 | 66.67% |
| Dakuroz vs Victor | 4–5 | 44.44% |
| Dakuroz vs Kuma | 5–3 | 62.50% |
| Dakuroz vs Raven | 2–3 | 40.00% |
| Dakuroz vs Shaheen | 2–0 | 100.00% |
| Dakuroz vs Panda | 0–2 | 0.00% |
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.