| SomeOne vs Jin | 37–47 | 44.05% |
| SomeOne vs Kazuya | 39–39 | 50.00% |
| SomeOne vs King | 29–31 | 48.33% |
| SomeOne vs Reina | 28–26 | 51.85% |
| SomeOne vs Lili | 25–19 | 56.82% |
| SomeOne vs Dragunov | 21–22 | 48.84% |
| SomeOne vs Bryan | 22–18 | 55.00% |
| SomeOne vs Hwoarang | 15–23 | 39.47% |
| SomeOne vs Law | 12–23 | 34.29% |
| SomeOne vs Lee | 17–18 | 48.57% |
| SomeOne vs Paul | 18–14 | 56.25% |
| SomeOne vs Asuka | 17–14 | 54.84% |
| SomeOne vs Steve | 17–12 | 58.62% |
| SomeOne vs Heihachi | 15–13 | 53.57% |
| SomeOne vs Jun | 18–8 | 69.23% |
| SomeOne vs Clive | 10–15 | 40.00% |
| SomeOne vs Yoshimitsu | 6–16 | 27.27% |
| SomeOne vs Devil Jin | 11–9 | 55.00% |
| SomeOne vs Lars | 10–10 | 50.00% |
| SomeOne vs Nina | 8–9 | 47.06% |
| SomeOne vs Xiaoyu | 9–6 | 60.00% |
| SomeOne vs Alisa | 9–6 | 60.00% |
| SomeOne vs Eddy | 7–8 | 46.67% |
| SomeOne vs Azucena | 6–7 | 46.15% |
| SomeOne vs Lidia | 6–7 | 46.15% |
| SomeOne vs Feng | 9–3 | 75.00% |
| SomeOne vs Claudio | 7–3 | 70.00% |
| SomeOne vs Victor | 5–4 | 55.56% |
| SomeOne vs Raven | 5–4 | 55.56% |
| SomeOne vs Jack-8 | 3–5 | 37.50% |
| SomeOne vs Leroy | 4–4 | 50.00% |
| SomeOne vs Leo | 2–3 | 40.00% |
| SomeOne vs Shaheen | 1–3 | 25.00% |
| SomeOne vs Kuma | 1–3 | 25.00% |
| SomeOne vs Panda | 0–1 | 0.00% |
| SomeOne vs Zafina | 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.