| Dankathy_ vs Clive | 22–18 | 55.00% |
| Dankathy_ vs Heihachi | 23–14 | 62.16% |
| Dankathy_ vs Reina | 29–4 | 87.88% |
| Dankathy_ vs Hwoarang | 15–11 | 57.69% |
| Dankathy_ vs Bryan | 14–11 | 56.00% |
| Dankathy_ vs Jin | 18–5 | 78.26% |
| Dankathy_ vs Lili | 17–6 | 73.91% |
| Dankathy_ vs Kazuya | 11–10 | 52.38% |
| Dankathy_ vs Law | 8–9 | 47.06% |
| Dankathy_ vs King | 10–6 | 62.50% |
| Dankathy_ vs Devil Jin | 11–5 | 68.75% |
| Dankathy_ vs Jun | 8–3 | 72.73% |
| Dankathy_ vs Yoshimitsu | 7–3 | 70.00% |
| Dankathy_ vs Alisa | 7–3 | 70.00% |
| Dankathy_ vs Lidia | 5–5 | 50.00% |
| Dankathy_ vs Lars | 7–1 | 87.50% |
| Dankathy_ vs Paul | 5–2 | 71.43% |
| Dankathy_ vs Steve | 7–0 | 100.00% |
| Dankathy_ vs Leroy | 5–2 | 71.43% |
| Dankathy_ vs Leo | 3–3 | 50.00% |
| Dankathy_ vs Victor | 6–0 | 100.00% |
| Dankathy_ vs Miary Zo | 4–2 | 66.67% |
| Dankathy_ vs Nina | 4–1 | 80.00% |
| Dankathy_ vs Fahkumram | 4–1 | 80.00% |
| Dankathy_ vs Zafina | 4–0 | 100.00% |
| Dankathy_ vs Eddy | 2–2 | 50.00% |
| Dankathy_ vs Xiaoyu | 2–1 | 66.67% |
| Dankathy_ vs Asuka | 1–2 | 33.33% |
| Dankathy_ vs Feng | 2–1 | 66.67% |
| Dankathy_ vs Dragunov | 3–0 | 100.00% |
| Dankathy_ vs Lee | 1–2 | 33.33% |
| Dankathy_ vs Jack-8 | 1–0 | 100.00% |
| Dankathy_ vs Shaheen | 1–0 | 100.00% |
| Dankathy_ vs Kuma | 1–0 | 100.00% |
| Dankathy_ vs Azucena | 1–0 | 100.00% |
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.