| SelfCtrl1 vs Reina | 51–14 | 78.46% |
| SelfCtrl1 vs Kazuya | 30–27 | 52.63% |
| SelfCtrl1 vs King | 29–18 | 61.70% |
| SelfCtrl1 vs Bryan | 28–18 | 60.87% |
| SelfCtrl1 vs Jin | 23–19 | 54.76% |
| SelfCtrl1 vs Asuka | 20–17 | 54.05% |
| SelfCtrl1 vs Lili | 21–15 | 58.33% |
| SelfCtrl1 vs Paul | 18–17 | 51.43% |
| SelfCtrl1 vs Steve | 23–12 | 65.71% |
| SelfCtrl1 vs Lee | 17–13 | 56.67% |
| SelfCtrl1 vs Dragunov | 19–8 | 70.37% |
| SelfCtrl1 vs Yoshimitsu | 13–9 | 59.09% |
| SelfCtrl1 vs Xiaoyu | 12–8 | 60.00% |
| SelfCtrl1 vs Hwoarang | 9–10 | 47.37% |
| SelfCtrl1 vs Lars | 13–6 | 68.42% |
| SelfCtrl1 vs Raven | 7–10 | 41.18% |
| SelfCtrl1 vs Feng | 7–8 | 46.67% |
| SelfCtrl1 vs Leo | 7–8 | 46.67% |
| SelfCtrl1 vs Jun | 10–5 | 66.67% |
| SelfCtrl1 vs Azucena | 9–6 | 60.00% |
| SelfCtrl1 vs Clive | 7–8 | 46.67% |
| SelfCtrl1 vs Law | 11–2 | 84.62% |
| SelfCtrl1 vs Heihachi | 7–6 | 53.85% |
| SelfCtrl1 vs Devil Jin | 7–4 | 63.64% |
| SelfCtrl1 vs Eddy | 9–2 | 81.82% |
| SelfCtrl1 vs Alisa | 5–5 | 50.00% |
| SelfCtrl1 vs Victor | 7–3 | 70.00% |
| SelfCtrl1 vs Claudio | 3–6 | 33.33% |
| SelfCtrl1 vs Kuma | 6–3 | 66.67% |
| SelfCtrl1 vs Jack-8 | 7–1 | 87.50% |
| SelfCtrl1 vs Nina | 4–4 | 50.00% |
| SelfCtrl1 vs Shaheen | 2–3 | 40.00% |
| SelfCtrl1 vs Lidia | 4–0 | 100.00% |
| SelfCtrl1 vs Leroy | 2–0 | 100.00% |
| SelfCtrl1 vs Panda | 1–0 | 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.