| hj0330 vs Bryan | 20–24 | 45.45% |
| hj0330 vs Kazuya | 23–15 | 60.53% |
| hj0330 vs Heihachi | 17–16 | 51.52% |
| hj0330 vs Hwoarang | 14–15 | 48.28% |
| hj0330 vs Paul | 19–9 | 67.86% |
| hj0330 vs Dragunov | 12–16 | 42.86% |
| hj0330 vs Lili | 11–16 | 40.74% |
| hj0330 vs King | 11–14 | 44.00% |
| hj0330 vs Yoshimitsu | 14–10 | 58.33% |
| hj0330 vs Jin | 12–10 | 54.55% |
| hj0330 vs Steve | 13–9 | 59.09% |
| hj0330 vs Victor | 9–12 | 42.86% |
| hj0330 vs Reina | 11–9 | 55.00% |
| hj0330 vs Law | 7–11 | 38.89% |
| hj0330 vs Asuka | 9–9 | 50.00% |
| hj0330 vs Fahkumram | 6–11 | 35.29% |
| hj0330 vs Jack-8 | 10–5 | 66.67% |
| hj0330 vs Zafina | 9–3 | 75.00% |
| hj0330 vs Xiaoyu | 6–4 | 60.00% |
| hj0330 vs Alisa | 6–3 | 66.67% |
| hj0330 vs Anna | 2–7 | 22.22% |
| hj0330 vs Claudio | 4–4 | 50.00% |
| hj0330 vs Leo | 3–4 | 42.86% |
| hj0330 vs Nina | 3–4 | 42.86% |
| hj0330 vs Jun | 2–5 | 28.57% |
| hj0330 vs Azucena | 7–0 | 100.00% |
| hj0330 vs Lidia | 2–5 | 28.57% |
| hj0330 vs Feng | 4–2 | 66.67% |
| hj0330 vs Raven | 4–2 | 66.67% |
| hj0330 vs Leroy | 4–1 | 80.00% |
| hj0330 vs Devil Jin | 3–1 | 75.00% |
| hj0330 vs Lee | 1–3 | 25.00% |
| hj0330 vs Kuma | 1–3 | 25.00% |
| hj0330 vs Eddy | 2–2 | 50.00% |
| hj0330 vs Clive | 2–2 | 50.00% |
| hj0330 vs Lars | 1–2 | 33.33% |
| hj0330 vs Shaheen | 2–1 | 66.67% |
| hj0330 vs Panda | 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.