| Semper vs Kazuya | 30–7 | 81.08% |
| Semper vs Paul | 30–5 | 85.71% |
| Semper vs Dragunov | 25–8 | 75.76% |
| Semper vs Hwoarang | 20–10 | 66.67% |
| Semper vs Bryan | 20–7 | 74.07% |
| Semper vs Reina | 23–4 | 85.19% |
| Semper vs Steve | 20–4 | 83.33% |
| Semper vs Azucena | 13–9 | 59.09% |
| Semper vs King | 15–6 | 71.43% |
| Semper vs Asuka | 15–6 | 71.43% |
| Semper vs Victor | 10–11 | 47.62% |
| Semper vs Jin | 15–5 | 75.00% |
| Semper vs Armor King | 18–1 | 94.74% |
| Semper vs Feng | 11–5 | 68.75% |
| Semper vs Alisa | 12–4 | 75.00% |
| Semper vs Lili | 10–5 | 66.67% |
| Semper vs Leo | 13–2 | 86.67% |
| Semper vs Lee | 7–6 | 53.85% |
| Semper vs Law | 9–3 | 75.00% |
| Semper vs Devil Jin | 8–4 | 66.67% |
| Semper vs Eddy | 5–7 | 41.67% |
| Semper vs Claudio | 10–1 | 90.91% |
| Semper vs Shaheen | 7–4 | 63.64% |
| Semper vs Lars | 9–1 | 90.00% |
| Semper vs Zafina | 5–5 | 50.00% |
| Semper vs Yoshimitsu | 7–2 | 77.78% |
| Semper vs Xiaoyu | 5–4 | 55.56% |
| Semper vs Jun | 9–0 | 100.00% |
| Semper vs Nina | 8–0 | 100.00% |
| Semper vs Leroy | 5–2 | 71.43% |
| Semper vs Lidia | 5–0 | 100.00% |
| Semper vs Heihachi | 3–2 | 60.00% |
| Semper vs Anna | 5–0 | 100.00% |
| Semper vs Kuma | 2–2 | 50.00% |
| Semper vs Jack-8 | 2–1 | 66.67% |
| Semper vs Fahkumram | 3–0 | 100.00% |
| Semper vs Panda | 2–0 | 100.00% |
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.