| Still learning vs Kazuya | 60–54 | 52.63% |
| Still learning vs Jin | 51–58 | 46.79% |
| Still learning vs King | 49–53 | 48.04% |
| Still learning vs Dragunov | 34–48 | 41.46% |
| Still learning vs Paul | 17–41 | 29.31% |
| Still learning vs Reina | 27–31 | 46.55% |
| Still learning vs Hwoarang | 21–35 | 37.50% |
| Still learning vs Bryan | 21–31 | 40.38% |
| Still learning vs Victor | 23–27 | 46.00% |
| Still learning vs Law | 19–25 | 43.18% |
| Still learning vs Yoshimitsu | 23–20 | 53.49% |
| Still learning vs Heihachi | 16–27 | 37.21% |
| Still learning vs Devil Jin | 12–26 | 31.58% |
| Still learning vs Nina | 21–17 | 55.26% |
| Still learning vs Eddy | 17–21 | 44.74% |
| Still learning vs Feng | 8–22 | 26.67% |
| Still learning vs Lars | 18–12 | 60.00% |
| Still learning vs Steve | 10–16 | 38.46% |
| Still learning vs Claudio | 6–18 | 25.00% |
| Still learning vs Alisa | 6–16 | 27.27% |
| Still learning vs Lee | 8–13 | 38.10% |
| Still learning vs Asuka | 7–13 | 35.00% |
| Still learning vs Lili | 4–11 | 26.67% |
| Still learning vs Xiaoyu | 6–8 | 42.86% |
| Still learning vs Raven | 7–6 | 53.85% |
| Still learning vs Jack-8 | 3–8 | 27.27% |
| Still learning vs Leo | 3–8 | 27.27% |
| Still learning vs Jun | 5–6 | 45.45% |
| Still learning vs Leroy | 2–8 | 20.00% |
| Still learning vs Zafina | 2–5 | 28.57% |
| Still learning vs Azucena | 7–0 | 100.00% |
| Still learning vs Lidia | 3–4 | 42.86% |
| Still learning vs Clive | 4–3 | 57.14% |
| Still learning vs Shaheen | 2–4 | 33.33% |
| Still learning vs Kuma | 0–4 | 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.