| Ssamjin vs Jin | 147–107 | 57.87% |
| Ssamjin vs Bryan | 108–121 | 47.16% |
| Ssamjin vs Kazuya | 116–92 | 55.77% |
| Ssamjin vs Hwoarang | 92–92 | 50.00% |
| Ssamjin vs Dragunov | 84–98 | 46.15% |
| Ssamjin vs King | 71–100 | 41.52% |
| Ssamjin vs Reina | 94–58 | 61.84% |
| Ssamjin vs Steve | 77–66 | 53.85% |
| Ssamjin vs Lili | 78–54 | 59.09% |
| Ssamjin vs Lars | 52–73–1 | 41.60% |
| Ssamjin vs Law | 76–47 | 61.79% |
| Ssamjin vs Heihachi | 70–53 | 56.91% |
| Ssamjin vs Devil Jin | 71–51 | 58.20% |
| Ssamjin vs Yoshimitsu | 60–41 | 59.41% |
| Ssamjin vs Lee | 48–52 | 48.00% |
| Ssamjin vs Armor King | 35–51 | 40.70% |
| Ssamjin vs Jun | 45–38 | 54.22% |
| Ssamjin vs Asuka | 39–37 | 51.32% |
| Ssamjin vs Claudio | 30–44 | 40.54% |
| Ssamjin vs Clive | 35–39 | 47.30% |
| Ssamjin vs Victor | 33–40 | 45.21% |
| Ssamjin vs Xiaoyu | 28–42 | 40.00% |
| Ssamjin vs Feng | 29–37 | 43.94% |
| Ssamjin vs Lidia | 31–33 | 48.44% |
| Ssamjin vs Jack-8 | 26–34 | 43.33% |
| Ssamjin vs Leo | 26–30 | 46.43% |
| Ssamjin vs Fahkumram | 25–31 | 44.64% |
| Ssamjin vs Paul | 22–33 | 40.00% |
| Ssamjin vs Miary Zo | 24–29 | 45.28% |
| Ssamjin vs Eddy | 24–27 | 47.06% |
| Ssamjin vs Raven | 18–31 | 36.73% |
| Ssamjin vs Alisa | 22–26 | 45.83% |
| Ssamjin vs Azucena | 28–20 | 58.33% |
| Ssamjin vs Nina | 22–23 | 48.89% |
| Ssamjin vs Shaheen | 15–28 | 34.88% |
| Ssamjin vs Anna | 18–22 | 45.00% |
| Ssamjin vs Zafina | 14–23 | 37.84% |
| Ssamjin vs Leroy | 11–14 | 44.00% |
| Ssamjin vs Kuma | 9–13 | 40.91% |
| Ssamjin vs Panda | 1–6 | 14.29% |
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.