| BustyDusty vs Reina | 7–17 | 29.17% |
| BustyDusty vs Jin | 6–10 | 37.50% |
| BustyDusty vs Jun | 7–8 | 46.67% |
| BustyDusty vs King | 6–8 | 42.86% |
| BustyDusty vs Kazuya | 6–8 | 42.86% |
| BustyDusty vs Law | 2–11 | 15.38% |
| BustyDusty vs Lili | 5–8 | 38.46% |
| BustyDusty vs Claudio | 3–9 | 25.00% |
| BustyDusty vs Steve | 5–6 | 45.45% |
| BustyDusty vs Asuka | 1–10 | 9.09% |
| BustyDusty vs Heihachi | 4–7 | 36.36% |
| BustyDusty vs Paul | 2–8 | 20.00% |
| BustyDusty vs Xiaoyu | 7–3 | 70.00% |
| BustyDusty vs Feng | 2–8 | 20.00% |
| BustyDusty vs Zafina | 5–5 | 50.00% |
| BustyDusty vs Victor | 3–7 | 30.00% |
| BustyDusty vs Yoshimitsu | 2–7 | 22.22% |
| BustyDusty vs Jack-8 | 3–6 | 33.33% |
| BustyDusty vs Lars | 2–7 | 22.22% |
| BustyDusty vs Dragunov | 1–7 | 12.50% |
| BustyDusty vs Lee | 3–5 | 37.50% |
| BustyDusty vs Azucena | 0–8 | 0.00% |
| BustyDusty vs Alisa | 3–3 | 50.00% |
| BustyDusty vs Eddy | 2–4 | 33.33% |
| BustyDusty vs Leo | 4–1 | 80.00% |
| BustyDusty vs Kuma | 2–3 | 40.00% |
| BustyDusty vs Hwoarang | 1–3 | 25.00% |
| BustyDusty vs Bryan | 0–4 | 0.00% |
| BustyDusty vs Raven | 3–1 | 75.00% |
| BustyDusty vs Devil Jin | 0–3 | 0.00% |
| BustyDusty vs Nina | 0–2 | 0.00% |
| BustyDusty vs Leroy | 0–2 | 0.00% |
| BustyDusty vs Panda | 0–1 | 0.00% |
| BustyDusty vs Lidia | 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.