| SenSung vs Hwoarang | 24–7 | 77.42% |
| SenSung vs Jin | 26–5 | 83.87% |
| SenSung vs Kazuya | 23–6 | 79.31% |
| SenSung vs Dragunov | 25–2 | 92.59% |
| SenSung vs Law | 19–6 | 76.00% |
| SenSung vs Yoshimitsu | 20–5 | 80.00% |
| SenSung vs Reina | 22–2 | 91.67% |
| SenSung vs Heihachi | 18–4 | 81.82% |
| SenSung vs King | 16–4 | 80.00% |
| SenSung vs Lili | 14–5 | 73.68% |
| SenSung vs Nina | 14–4 | 77.78% |
| SenSung vs Lee | 13–5 | 72.22% |
| SenSung vs Clive | 13–4 | 76.47% |
| SenSung vs Paul | 13–2 | 86.67% |
| SenSung vs Devil Jin | 11–3–1 | 78.57% |
| SenSung vs Alisa | 10–5 | 66.67% |
| SenSung vs Xiaoyu | 9–3 | 75.00% |
| SenSung vs Bryan | 7–5 | 58.33% |
| SenSung vs Feng | 10–1 | 90.91% |
| SenSung vs Lars | 11–0 | 100.00% |
| SenSung vs Leroy | 10–1 | 90.91% |
| SenSung vs Eddy | 11–0 | 100.00% |
| SenSung vs Steve | 9–1 | 90.00% |
| SenSung vs Kuma | 8–1 | 88.89% |
| SenSung vs Victor | 8–1 | 88.89% |
| SenSung vs Azucena | 8–0 | 100.00% |
| SenSung vs Zafina | 6–1 | 85.71% |
| SenSung vs Jun | 7–0 | 100.00% |
| SenSung vs Shaheen | 6–0 | 100.00% |
| SenSung vs Raven | 5–1 | 83.33% |
| SenSung vs Claudio | 4–0 | 100.00% |
| SenSung vs Panda | 4–0 | 100.00% |
| SenSung vs Lidia | 3–1 | 75.00% |
| SenSung vs Jack-8 | 2–1 | 66.67% |
| SenSung vs Asuka | 3–0 | 100.00% |
| SenSung vs Leo | 3–0 | 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.