| x japan vs Kazuya | 33–20 | 62.26% |
| x japan vs Bryan | 28–20 | 58.33% |
| x japan vs Clive | 18–19 | 48.65% |
| x japan vs Asuka | 24–11 | 68.57% |
| x japan vs King | 11–14 | 44.00% |
| x japan vs Hwoarang | 15–10 | 60.00% |
| x japan vs Steve | 10–15 | 40.00% |
| x japan vs Law | 9–15 | 37.50% |
| x japan vs Jin | 12–12 | 50.00% |
| x japan vs Reina | 13–11 | 54.17% |
| x japan vs Paul | 11–12 | 47.83% |
| x japan vs Dragunov | 13–9 | 59.09% |
| x japan vs Eddy | 10–10 | 50.00% |
| x japan vs Jun | 8–11 | 42.11% |
| x japan vs Alisa | 12–5 | 70.59% |
| x japan vs Nina | 12–5 | 70.59% |
| x japan vs Yoshimitsu | 6–10 | 37.50% |
| x japan vs Azucena | 6–10 | 37.50% |
| x japan vs Leo | 6–9 | 40.00% |
| x japan vs Victor | 4–11 | 26.67% |
| x japan vs Lili | 9–5 | 64.29% |
| x japan vs Kuma | 5–8 | 38.46% |
| x japan vs Devil Jin | 4–7 | 36.36% |
| x japan vs Feng | 3–8 | 27.27% |
| x japan vs Lidia | 7–4 | 63.64% |
| x japan vs Heihachi | 6–5 | 54.55% |
| x japan vs Claudio | 4–6 | 40.00% |
| x japan vs Jack-8 | 6–2 | 75.00% |
| x japan vs Lee | 5–2 | 71.43% |
| x japan vs Zafina | 2–5 | 28.57% |
| x japan vs Xiaoyu | 4–2 | 66.67% |
| x japan vs Raven | 4–1 | 80.00% |
| x japan vs Lars | 4–0 | 100.00% |
| x japan vs Panda | 2–1 | 66.67% |
| x japan vs Leroy | 1–2 | 33.33% |
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.