| Emp7yJump vs Kazuya | 33–43 | 43.42% |
| Emp7yJump vs King | 28–47 | 37.33% |
| Emp7yJump vs Jin | 29–31 | 48.33% |
| Emp7yJump vs Bryan | 22–34 | 39.29% |
| Emp7yJump vs Lidia | 22–33 | 40.00% |
| Emp7yJump vs Steve | 22–28 | 44.00% |
| Emp7yJump vs Hwoarang | 26–23 | 53.06% |
| Emp7yJump vs Reina | 25–21 | 54.35% |
| Emp7yJump vs Paul | 16–23 | 41.03% |
| Emp7yJump vs Law | 18–14 | 56.25% |
| Emp7yJump vs Jun | 17–11 | 60.71% |
| Emp7yJump vs Yoshimitsu | 9–18 | 33.33% |
| Emp7yJump vs Dragunov | 15–12 | 55.56% |
| Emp7yJump vs Azucena | 13–12 | 52.00% |
| Emp7yJump vs Lars | 12–12 | 50.00% |
| Emp7yJump vs Nina | 6–17 | 26.09% |
| Emp7yJump vs Leroy | 12–9 | 57.14% |
| Emp7yJump vs Lee | 8–11 | 42.11% |
| Emp7yJump vs Eddy | 7–10 | 41.18% |
| Emp7yJump vs Victor | 7–8 | 46.67% |
| Emp7yJump vs Xiaoyu | 8–6 | 57.14% |
| Emp7yJump vs Leo | 8–6 | 57.14% |
| Emp7yJump vs Lili | 9–4 | 69.23% |
| Emp7yJump vs Kuma | 5–8 | 38.46% |
| Emp7yJump vs Feng | 9–3 | 75.00% |
| Emp7yJump vs Alisa | 4–7 | 36.36% |
| Emp7yJump vs Asuka | 5–5 | 50.00% |
| Emp7yJump vs Devil Jin | 6–1 | 85.71% |
| Emp7yJump vs Claudio | 1–6 | 14.29% |
| Emp7yJump vs Heihachi | 3–3 | 50.00% |
| Emp7yJump vs Panda | 2–3 | 40.00% |
| Emp7yJump vs Raven | 3–1 | 75.00% |
| Emp7yJump vs Shaheen | 1–2 | 33.33% |
| Emp7yJump vs Zafina | 0–3 | 0.00% |
| Emp7yJump vs Clive | 2–1 | 66.67% |
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.