| D0NT_F_AR0UND vs Kazuya | 4–16 | 20.00% |
| D0NT_F_AR0UND vs Clive | 10–9 | 52.63% |
| D0NT_F_AR0UND vs Law | 4–14 | 22.22% |
| D0NT_F_AR0UND vs Hwoarang | 7–9 | 43.75% |
| D0NT_F_AR0UND vs Steve | 6–8 | 42.86% |
| D0NT_F_AR0UND vs Reina | 7–6 | 53.85% |
| D0NT_F_AR0UND vs Jun | 8–4 | 66.67% |
| D0NT_F_AR0UND vs Raven | 6–6 | 50.00% |
| D0NT_F_AR0UND vs Yoshimitsu | 4–7 | 36.36% |
| D0NT_F_AR0UND vs King | 3–7 | 30.00% |
| D0NT_F_AR0UND vs Bryan | 4–6 | 40.00% |
| D0NT_F_AR0UND vs Jin | 2–6 | 25.00% |
| D0NT_F_AR0UND vs Feng | 3–5 | 37.50% |
| D0NT_F_AR0UND vs Lili | 3–5 | 37.50% |
| D0NT_F_AR0UND vs Dragunov | 1–7 | 12.50% |
| D0NT_F_AR0UND vs Nina | 5–3 | 62.50% |
| D0NT_F_AR0UND vs Victor | 2–6 | 25.00% |
| D0NT_F_AR0UND vs Jack-8 | 4–3 | 57.14% |
| D0NT_F_AR0UND vs Kuma | 2–5 | 28.57% |
| D0NT_F_AR0UND vs Azucena | 4–3 | 57.14% |
| D0NT_F_AR0UND vs Paul | 3–3 | 50.00% |
| D0NT_F_AR0UND vs Claudio | 3–3 | 50.00% |
| D0NT_F_AR0UND vs Devil Jin | 2–3 | 40.00% |
| D0NT_F_AR0UND vs Lee | 1–4 | 20.00% |
| D0NT_F_AR0UND vs Zafina | 4–1 | 80.00% |
| D0NT_F_AR0UND vs Lidia | 1–4 | 20.00% |
| D0NT_F_AR0UND vs Eddy | 0–4 | 0.00% |
| D0NT_F_AR0UND vs Heihachi | 2–2 | 50.00% |
| D0NT_F_AR0UND vs Lars | 1–2 | 33.33% |
| D0NT_F_AR0UND vs Leroy | 1–1 | 50.00% |
| D0NT_F_AR0UND vs Asuka | 0–1 | 0.00% |
| D0NT_F_AR0UND vs Panda | 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.