| east vs King | 32–34 | 48.48% |
| east vs Bryan | 33–27 | 55.00% |
| east vs Kazuya | 24–24 | 50.00% |
| east vs Hwoarang | 12–33 | 26.67% |
| east vs Jin | 26–19 | 57.78% |
| east vs Dragunov | 20–24 | 45.45% |
| east vs Reina | 15–19 | 44.12% |
| east vs Paul | 15–18 | 45.45% |
| east vs Asuka | 16–13 | 55.17% |
| east vs Azucena | 15–13 | 53.57% |
| east vs Law | 14–13 | 51.85% |
| east vs Steve | 8–17 | 32.00% |
| east vs Victor | 14–10 | 58.33% |
| east vs Yoshimitsu | 12–11 | 52.17% |
| east vs Jun | 10–13 | 43.48% |
| east vs Lidia | 6–17 | 26.09% |
| east vs Lili | 7–14 | 33.33% |
| east vs Feng | 12–7 | 63.16% |
| east vs Heihachi | 5–12 | 29.41% |
| east vs Raven | 5–11 | 31.25% |
| east vs Nina | 8–7 | 53.33% |
| east vs Zafina | 4–8 | 33.33% |
| east vs Xiaoyu | 5–5 | 50.00% |
| east vs Jack-8 | 4–5 | 44.44% |
| east vs Devil Jin | 3–6 | 33.33% |
| east vs Lars | 4–5 | 44.44% |
| east vs Alisa | 4–5 | 44.44% |
| east vs Anna | 5–4 | 55.56% |
| east vs Leroy | 2–6 | 25.00% |
| east vs Fahkumram | 2–6 | 25.00% |
| east vs Shaheen | 2–4 | 33.33% |
| east vs Lee | 2–4 | 33.33% |
| east vs Clive | 0–6 | 0.00% |
| east vs Eddy | 4–1 | 80.00% |
| east vs Claudio | 1–3 | 25.00% |
| east vs Kuma | 3–0 | 100.00% |
| east vs Leo | 0–1 | 0.00% |
| east 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.