| jklgfd1 vs Kazuya | 76–88 | 46.34% |
| jklgfd1 vs Jin | 84–77 | 52.17% |
| jklgfd1 vs King | 63–73 | 46.32% |
| jklgfd1 vs Bryan | 75–60 | 55.56% |
| jklgfd1 vs Reina | 62–64 | 49.21% |
| jklgfd1 vs Law | 48–55 | 46.60% |
| jklgfd1 vs Hwoarang | 50–49 | 50.51% |
| jklgfd1 vs Steve | 44–55 | 44.44% |
| jklgfd1 vs Dragunov | 43–56 | 43.43% |
| jklgfd1 vs Eddy | 46–49 | 48.42% |
| jklgfd1 vs Azucena | 38–45 | 45.78% |
| jklgfd1 vs Lili | 38–40 | 48.72% |
| jklgfd1 vs Yoshimitsu | 40–33–1 | 54.79% |
| jklgfd1 vs Asuka | 30–44 | 40.54% |
| jklgfd1 vs Jun | 26–47 | 35.62% |
| jklgfd1 vs Nina | 30–37 | 44.78% |
| jklgfd1 vs Lars | 30–34 | 46.88% |
| jklgfd1 vs Victor | 25–36 | 40.98% |
| jklgfd1 vs Xiaoyu | 24–32 | 42.86% |
| jklgfd1 vs Lee | 18–35 | 33.96% |
| jklgfd1 vs Paul | 11–40 | 21.57% |
| jklgfd1 vs Raven | 24–24 | 50.00% |
| jklgfd1 vs Feng | 21–26 | 44.68% |
| jklgfd1 vs Alisa | 16–30 | 34.78% |
| jklgfd1 vs Leroy | 22–22 | 50.00% |
| jklgfd1 vs Devil Jin | 21–19 | 52.50% |
| jklgfd1 vs Leo | 15–16 | 48.39% |
| jklgfd1 vs Lidia | 14–12 | 53.85% |
| jklgfd1 vs Claudio | 11–14 | 44.00% |
| jklgfd1 vs Jack-8 | 9–15 | 37.50% |
| jklgfd1 vs Shaheen | 11–12 | 47.83% |
| jklgfd1 vs Heihachi | 9–14 | 39.13% |
| jklgfd1 vs Zafina | 5–15 | 25.00% |
| jklgfd1 vs Kuma | 3–7 | 30.00% |
| jklgfd1 vs Panda | 2–5 | 28.57% |
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.