| jackets vs Hwoarang | 17–15 | 53.12% |
| jackets vs Miary Zo | 16–13 | 55.17% |
| jackets vs Paul | 10–12 | 45.45% |
| jackets vs Lidia | 13–9 | 59.09% |
| jackets vs Armor King | 12–10 | 54.55% |
| jackets vs Steve | 15–5 | 75.00% |
| jackets vs Bryan | 11–8 | 57.89% |
| jackets vs Reina | 11–8 | 57.89% |
| jackets vs King | 7–11 | 38.89% |
| jackets vs Yoshimitsu | 9–8 | 52.94% |
| jackets vs Jin | 10–7 | 58.82% |
| jackets vs Law | 10–6 | 62.50% |
| jackets vs Lili | 3–12 | 20.00% |
| jackets vs Feng | 5–7 | 41.67% |
| jackets vs Kazuya | 8–3 | 72.73% |
| jackets vs Jack-8 | 6–5 | 54.55% |
| jackets vs Jun | 9–2 | 81.82% |
| jackets vs Victor | 4–7 | 36.36% |
| jackets vs Asuka | 5–5 | 50.00% |
| jackets vs Dragunov | 6–4 | 60.00% |
| jackets vs Leo | 7–2 | 77.78% |
| jackets vs Lee | 2–7 | 22.22% |
| jackets vs Fahkumram | 0–9 | 0.00% |
| jackets vs Azucena | 3–5 | 37.50% |
| jackets vs Eddy | 2–6 | 25.00% |
| jackets vs Raven | 4–3 | 57.14% |
| jackets vs Leroy | 1–5 | 16.67% |
| jackets vs Heihachi | 3–3 | 50.00% |
| jackets vs Alisa | 4–1 | 80.00% |
| jackets vs Nina | 4–1 | 80.00% |
| jackets vs Anna | 2–3 | 40.00% |
| jackets vs Xiaoyu | 3–1 | 75.00% |
| jackets vs Lars | 1–3 | 25.00% |
| jackets vs Claudio | 0–2 | 0.00% |
| jackets vs Shaheen | 2–0 | 100.00% |
| jackets vs Devil Jin | 1–0 | 100.00% |
| jackets vs Clive | 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.