| Dirtychoniz vs Reina | 11–8 | 57.89% |
| Dirtychoniz vs Jin | 9–9 | 50.00% |
| Dirtychoniz vs King | 6–7 | 46.15% |
| Dirtychoniz vs Lili | 7–6 | 53.85% |
| Dirtychoniz vs Kazuya | 7–5 | 58.33% |
| Dirtychoniz vs Leo | 9–3 | 75.00% |
| Dirtychoniz vs Bryan | 6–4 | 60.00% |
| Dirtychoniz vs Raven | 4–6 | 40.00% |
| Dirtychoniz vs Hwoarang | 5–4 | 55.56% |
| Dirtychoniz vs Jun | 4–4 | 50.00% |
| Dirtychoniz vs Feng | 3–4 | 42.86% |
| Dirtychoniz vs Lidia | 2–5 | 28.57% |
| Dirtychoniz vs Paul | 2–4 | 33.33% |
| Dirtychoniz vs Law | 5–1 | 83.33% |
| Dirtychoniz vs Yoshimitsu | 4–2 | 66.67% |
| Dirtychoniz vs Dragunov | 4–2 | 66.67% |
| Dirtychoniz vs Alisa | 3–3 | 50.00% |
| Dirtychoniz vs Leroy | 1–5 | 16.67% |
| Dirtychoniz vs Eddy | 5–1 | 83.33% |
| Dirtychoniz vs Steve | 2–3 | 40.00% |
| Dirtychoniz vs Armor King | 5–0 | 100.00% |
| Dirtychoniz vs Devil Jin | 2–2 | 50.00% |
| Dirtychoniz vs Jack-8 | 1–2 | 33.33% |
| Dirtychoniz vs Lee | 1–2 | 33.33% |
| Dirtychoniz vs Xiaoyu | 2–0 | 100.00% |
| Dirtychoniz vs Asuka | 2–0 | 100.00% |
| Dirtychoniz vs Shaheen | 2–0 | 100.00% |
| Dirtychoniz vs Nina | 2–0 | 100.00% |
| Dirtychoniz vs Kuma | 1–1 | 50.00% |
| Dirtychoniz vs Panda | 1–1 | 50.00% |
| Dirtychoniz vs Azucena | 0–2 | 0.00% |
| Dirtychoniz vs Lars | 0–1 | 0.00% |
| Dirtychoniz vs Victor | 0–1 | 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.