| TRJ | User_2 vs Jin | 65–59 | 52.42% |
| TRJ | User_2 vs Kazuya | 66–52 | 55.93% |
| TRJ | User_2 vs Bryan | 63–48 | 56.76% |
| TRJ | User_2 vs King | 57–36 | 61.29% |
| TRJ | User_2 vs Dragunov | 50–38 | 56.82% |
| TRJ | User_2 vs Fahkumram | 43–44 | 49.43% |
| TRJ | User_2 vs Hwoarang | 49–34 | 59.04% |
| TRJ | User_2 vs Steve | 45–37 | 54.88% |
| TRJ | User_2 vs Heihachi | 43–34 | 55.84% |
| TRJ | User_2 vs Lee | 46–25 | 64.79% |
| TRJ | User_2 vs Paul | 40–19 | 67.80% |
| TRJ | User_2 vs Lars | 34–18 | 65.38% |
| TRJ | User_2 vs Reina | 32–19 | 62.75% |
| TRJ | User_2 vs Law | 33–17 | 66.00% |
| TRJ | User_2 vs Yoshimitsu | 17–30 | 36.17% |
| TRJ | User_2 vs Anna | 25–18 | 58.14% |
| TRJ | User_2 vs Lili | 21–20 | 51.22% |
| TRJ | User_2 vs Devil Jin | 21–19 | 52.50% |
| TRJ | User_2 vs Asuka | 19–17 | 52.78% |
| TRJ | User_2 vs Feng | 15–18 | 45.45% |
| TRJ | User_2 vs Jun | 22–11 | 66.67% |
| TRJ | User_2 vs Nina | 20–12 | 62.50% |
| TRJ | User_2 vs Azucena | 21–11 | 65.62% |
| TRJ | User_2 vs Alisa | 16–13 | 55.17% |
| TRJ | User_2 vs Raven | 13–15 | 46.43% |
| TRJ | User_2 vs Xiaoyu | 8–19 | 29.63% |
| TRJ | User_2 vs Claudio | 7–18 | 28.00% |
| TRJ | User_2 vs Clive | 16–8 | 66.67% |
| TRJ | User_2 vs Jack-8 | 13–10 | 56.52% |
| TRJ | User_2 vs Leo | 7–15 | 31.82% |
| TRJ | User_2 vs Lidia | 8–14 | 36.36% |
| TRJ | User_2 vs Victor | 7–10 | 41.18% |
| TRJ | User_2 vs Eddy | 7–10 | 41.18% |
| TRJ | User_2 vs Zafina | 6–7 | 46.15% |
| TRJ | User_2 vs Shaheen | 5–6 | 45.45% |
| TRJ | User_2 vs Kuma | 3–3 | 50.00% |
| TRJ | User_2 vs Leroy | 3–3 | 50.00% |
| TRJ | User_2 vs Panda | 3–2 | 60.00% |
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.