| JXRDN vs Jin | 44–37 | 54.32% |
| JXRDN vs Kazuya | 42–26 | 61.76% |
| JXRDN vs Dragunov | 36–25 | 59.02% |
| JXRDN vs King | 29–27 | 51.79% |
| JXRDN vs Reina | 22–21 | 51.16% |
| JXRDN vs Hwoarang | 21–18 | 53.85% |
| JXRDN vs Bryan | 21–14 | 60.00% |
| JXRDN vs Paul | 12–18 | 40.00% |
| JXRDN vs Azucena | 11–17 | 39.29% |
| JXRDN vs Steve | 17–10 | 62.96% |
| JXRDN vs Devil Jin | 15–11 | 57.69% |
| JXRDN vs Lee | 9–16 | 36.00% |
| JXRDN vs Law | 14–10 | 58.33% |
| JXRDN vs Lidia | 14–10 | 58.33% |
| JXRDN vs Jun | 11–11 | 50.00% |
| JXRDN vs Yoshimitsu | 11–9 | 55.00% |
| JXRDN vs Asuka | 13–4 | 76.47% |
| JXRDN vs Xiaoyu | 8–8 | 50.00% |
| JXRDN vs Leo | 8–8 | 50.00% |
| JXRDN vs Nina | 7–9 | 43.75% |
| JXRDN vs Claudio | 8–6 | 57.14% |
| JXRDN vs Heihachi | 8–6 | 57.14% |
| JXRDN vs Jack-8 | 5–8 | 38.46% |
| JXRDN vs Lili | 5–7 | 41.67% |
| JXRDN vs Lars | 4–6 | 40.00% |
| JXRDN vs Feng | 5–4 | 55.56% |
| JXRDN vs Alisa | 3–6 | 33.33% |
| JXRDN vs Fahkumram | 2–7 | 22.22% |
| JXRDN vs Shaheen | 6–1 | 85.71% |
| JXRDN vs Kuma | 5–1 | 83.33% |
| JXRDN vs Leroy | 4–1 | 80.00% |
| JXRDN vs Victor | 3–2 | 60.00% |
| JXRDN vs Clive | 3–2 | 60.00% |
| JXRDN vs Eddy | 2–2 | 50.00% |
| JXRDN vs Zafina | 0–2 | 0.00% |
| JXRDN vs Raven | 0–2 | 0.00% |
| JXRDN vs Anna | 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.