| Sema_Dogich vs King | 19–28 | 40.43% |
| Sema_Dogich vs Clive | 20–21 | 48.78% |
| Sema_Dogich vs Kazuya | 19–15 | 55.88% |
| Sema_Dogich vs Reina | 21–12 | 63.64% |
| Sema_Dogich vs Jin | 13–18 | 41.94% |
| Sema_Dogich vs Bryan | 15–14 | 51.72% |
| Sema_Dogich vs Lee | 13–11 | 54.17% |
| Sema_Dogich vs Law | 11–12 | 47.83% |
| Sema_Dogich vs Jun | 7–16 | 30.43% |
| Sema_Dogich vs Yoshimitsu | 15–7 | 68.18% |
| Sema_Dogich vs Hwoarang | 8–14 | 36.36% |
| Sema_Dogich vs Heihachi | 4–17 | 19.05% |
| Sema_Dogich vs Paul | 4–14 | 22.22% |
| Sema_Dogich vs Steve | 10–8 | 55.56% |
| Sema_Dogich vs Asuka | 6–9 | 40.00% |
| Sema_Dogich vs Nina | 9–6 | 60.00% |
| Sema_Dogich vs Dragunov | 9–4 | 69.23% |
| Sema_Dogich vs Lili | 7–3 | 70.00% |
| Sema_Dogich vs Lars | 5–5 | 50.00% |
| Sema_Dogich vs Devil Jin | 5–4 | 55.56% |
| Sema_Dogich vs Claudio | 3–6 | 33.33% |
| Sema_Dogich vs Victor | 1–8 | 11.11% |
| Sema_Dogich vs Anna | 5–4 | 55.56% |
| Sema_Dogich vs Eddy | 3–5 | 37.50% |
| Sema_Dogich vs Xiaoyu | 5–2 | 71.43% |
| Sema_Dogich vs Jack-8 | 5–2 | 71.43% |
| Sema_Dogich vs Kuma | 3–3 | 50.00% |
| Sema_Dogich vs Feng | 3–2 | 60.00% |
| Sema_Dogich vs Leroy | 1–4 | 20.00% |
| Sema_Dogich vs Azucena | 2–3 | 40.00% |
| Sema_Dogich vs Alisa | 1–2 | 33.33% |
| Sema_Dogich vs Raven | 2–1 | 66.67% |
| Sema_Dogich vs Lidia | 2–1 | 66.67% |
| Sema_Dogich vs Fahkumram | 1–2 | 33.33% |
| Sema_Dogich vs Shaheen | 2–0 | 100.00% |
| Sema_Dogich vs Leo | 0–1 | 0.00% |
| Sema_Dogich vs Panda | 0–1 | 0.00% |
| Sema_Dogich 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.