| jjballlz vs Kazuya | 240–286 | 45.63% |
| jjballlz vs Jin | 191–246 | 43.71% |
| jjballlz vs King | 180–225 | 44.44% |
| jjballlz vs Reina | 167–209 | 44.41% |
| jjballlz vs Bryan | 143–206 | 40.97% |
| jjballlz vs Hwoarang | 109–201 | 35.16% |
| jjballlz vs Yoshimitsu | 101–169 | 37.41% |
| jjballlz vs Law | 78–173 | 31.08% |
| jjballlz vs Steve | 96–145 | 39.83% |
| jjballlz vs Dragunov | 72–140 | 33.96% |
| jjballlz vs Lili | 72–127 | 36.18% |
| jjballlz vs Paul | 68–117 | 36.76% |
| jjballlz vs Lidia | 75–101 | 42.61% |
| jjballlz vs Jun | 48–110 | 30.38% |
| jjballlz vs Devil Jin | 72–80 | 47.37% |
| jjballlz vs Azucena | 71–76 | 48.30% |
| jjballlz vs Lee | 67–78 | 46.21% |
| jjballlz vs Asuka | 62–79 | 43.97% |
| jjballlz vs Feng | 53–75 | 41.41% |
| jjballlz vs Victor | 57–68 | 45.60% |
| jjballlz vs Alisa | 47–75 | 38.52% |
| jjballlz vs Xiaoyu | 56–65 | 46.28% |
| jjballlz vs Nina | 49–71 | 40.83% |
| jjballlz vs Eddy | 29–72 | 28.71% |
| jjballlz vs Lars | 26–74 | 26.00% |
| jjballlz vs Claudio | 29–58 | 33.33% |
| jjballlz vs Leroy | 38–46 | 45.24% |
| jjballlz vs Jack-8 | 32–39 | 45.07% |
| jjballlz vs Shaheen | 33–30 | 52.38% |
| jjballlz vs Leo | 25–33 | 43.10% |
| jjballlz vs Raven | 23–31 | 42.59% |
| jjballlz vs Zafina | 12–32 | 27.27% |
| jjballlz vs Heihachi | 17–23 | 42.50% |
| jjballlz vs Kuma | 17–22 | 43.59% |
| jjballlz vs Miary Zo | 8–13 | 38.10% |
| jjballlz vs Panda | 9–9 | 50.00% |
| jjballlz vs Clive | 7–10 | 41.18% |
| jjballlz vs Armor King | 5–8 | 38.46% |
| jjballlz vs Fahkumram | 4–8 | 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.