| SUPA DX1 vs Kazuya | 27–39 | 40.91% |
| SUPA DX1 vs Jin | 27–27 | 50.00% |
| SUPA DX1 vs King | 15–35 | 30.00% |
| SUPA DX1 vs Law | 26–21 | 55.32% |
| SUPA DX1 vs Heihachi | 22–22 | 50.00% |
| SUPA DX1 vs Clive | 15–26 | 36.59% |
| SUPA DX1 vs Hwoarang | 14–26 | 35.00% |
| SUPA DX1 vs Dragunov | 21–18 | 53.85% |
| SUPA DX1 vs Reina | 20–19 | 51.28% |
| SUPA DX1 vs Bryan | 16–20 | 44.44% |
| SUPA DX1 vs Steve | 17–18 | 48.57% |
| SUPA DX1 vs Eddy | 16–13 | 55.17% |
| SUPA DX1 vs Lili | 19–8 | 70.37% |
| SUPA DX1 vs Azucena | 13–13 | 50.00% |
| SUPA DX1 vs Yoshimitsu | 9–11 | 45.00% |
| SUPA DX1 vs Paul | 13–5 | 72.22% |
| SUPA DX1 vs Lidia | 8–9 | 47.06% |
| SUPA DX1 vs Feng | 7–9 | 43.75% |
| SUPA DX1 vs Nina | 8–8 | 50.00% |
| SUPA DX1 vs Victor | 7–9 | 43.75% |
| SUPA DX1 vs Anna | 6–10 | 37.50% |
| SUPA DX1 vs Xiaoyu | 8–7 | 53.33% |
| SUPA DX1 vs Devil Jin | 4–11 | 26.67% |
| SUPA DX1 vs Lars | 4–11 | 26.67% |
| SUPA DX1 vs Kuma | 9–6 | 60.00% |
| SUPA DX1 vs Claudio | 7–7 | 50.00% |
| SUPA DX1 vs Asuka | 4–9 | 30.77% |
| SUPA DX1 vs Armor King | 5–8 | 38.46% |
| SUPA DX1 vs Fahkumram | 3–8 | 27.27% |
| SUPA DX1 vs Jack-8 | 6–4 | 60.00% |
| SUPA DX1 vs Lee | 2–8 | 20.00% |
| SUPA DX1 vs Alisa | 4–4 | 50.00% |
| SUPA DX1 vs Jun | 5–3 | 62.50% |
| SUPA DX1 vs Leo | 4–3 | 57.14% |
| SUPA DX1 vs Shaheen | 4–2 | 66.67% |
| SUPA DX1 vs Zafina | 2–2 | 50.00% |
| SUPA DX1 vs Panda | 2–1 | 66.67% |
| SUPA DX1 vs Leroy | 0–3 | 0.00% |
| SUPA DX1 vs Raven | 2–1 | 66.67% |
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.