| jpyjoy119 vs Kazuya | 58–71 | 44.96% |
| jpyjoy119 vs Hwoarang | 51–48 | 51.52% |
| jpyjoy119 vs Paul | 54–37 | 59.34% |
| jpyjoy119 vs Bryan | 50–41 | 54.95% |
| jpyjoy119 vs King | 43–47 | 47.78% |
| jpyjoy119 vs Reina | 48–41 | 53.93% |
| jpyjoy119 vs Dragunov | 52–34 | 60.47% |
| jpyjoy119 vs Clive | 40–36 | 52.63% |
| jpyjoy119 vs Jin | 28–36 | 43.75% |
| jpyjoy119 vs Lili | 34–30 | 53.12% |
| jpyjoy119 vs Asuka | 29–32 | 47.54% |
| jpyjoy119 vs Jun | 36–19 | 65.45% |
| jpyjoy119 vs Steve | 23–24 | 48.94% |
| jpyjoy119 vs Devil Jin | 28–18 | 60.87% |
| jpyjoy119 vs Azucena | 22–24 | 47.83% |
| jpyjoy119 vs Heihachi | 20–26 | 43.48% |
| jpyjoy119 vs Victor | 26–17 | 60.47% |
| jpyjoy119 vs Yoshimitsu | 26–16 | 61.90% |
| jpyjoy119 vs Law | 13–22 | 37.14% |
| jpyjoy119 vs Lidia | 12–17 | 41.38% |
| jpyjoy119 vs Jack-8 | 13–14 | 48.15% |
| jpyjoy119 vs Claudio | 12–14 | 46.15% |
| jpyjoy119 vs Eddy | 13–13 | 50.00% |
| jpyjoy119 vs Fahkumram | 14–12 | 53.85% |
| jpyjoy119 vs Feng | 17–8 | 68.00% |
| jpyjoy119 vs Xiaoyu | 14–10 | 58.33% |
| jpyjoy119 vs Leo | 8–13 | 38.10% |
| jpyjoy119 vs Alisa | 9–10 | 47.37% |
| jpyjoy119 vs Nina | 11–8 | 57.89% |
| jpyjoy119 vs Leroy | 9–10 | 47.37% |
| jpyjoy119 vs Lars | 10–8 | 55.56% |
| jpyjoy119 vs Lee | 7–10 | 41.18% |
| jpyjoy119 vs Shaheen | 2–12 | 14.29% |
| jpyjoy119 vs Kuma | 3–4 | 42.86% |
| jpyjoy119 vs Zafina | 2–5 | 28.57% |
| jpyjoy119 vs Anna | 1–4 | 20.00% |
| jpyjoy119 vs Armor King | 1–2 | 33.33% |
| jpyjoy119 vs Panda | 2–0 | 100.00% |
| jpyjoy119 vs Raven | 1–1 | 50.00% |
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.