| SSAMJANG vs Kazuya | 321–218 | 59.55% |
| SSAMJANG vs Bryan | 268–225 | 54.36% |
| SSAMJANG vs Dragunov | 209–207 | 50.24% |
| SSAMJANG vs Jin | 203–171 | 54.28% |
| SSAMJANG vs Hwoarang | 203–151 | 57.34% |
| SSAMJANG vs Paul | 192–155 | 55.33% |
| SSAMJANG vs Steve | 151–188 | 44.54% |
| SSAMJANG vs Asuka | 150–145 | 50.85% |
| SSAMJANG vs King | 138–143 | 49.11% |
| SSAMJANG vs Reina | 149–131 | 53.21% |
| SSAMJANG vs Heihachi | 146–134 | 52.14% |
| SSAMJANG vs Law | 142–125 | 53.18% |
| SSAMJANG vs Lars | 131–126 | 50.97% |
| SSAMJANG vs Lili | 118–135–1 | 46.64% |
| SSAMJANG vs Jun | 129–117 | 52.44% |
| SSAMJANG vs Yoshimitsu | 128–116 | 52.46% |
| SSAMJANG vs Feng | 123–115 | 51.68% |
| SSAMJANG vs Clive | 142–94 | 60.17% |
| SSAMJANG vs Devil Jin | 109–103 | 51.42% |
| SSAMJANG vs Victor | 108–98 | 52.43% |
| SSAMJANG vs Leroy | 111–88 | 55.78% |
| SSAMJANG vs Nina | 93–101 | 47.94% |
| SSAMJANG vs Alisa | 101–92 | 52.33% |
| SSAMJANG vs Azucena | 99–87 | 53.23% |
| SSAMJANG vs Jack-8 | 79–106 | 42.70% |
| SSAMJANG vs Claudio | 90–95 | 48.65% |
| SSAMJANG vs Lee | 90–95 | 48.65% |
| SSAMJANG vs Lidia | 87–98 | 47.03% |
| SSAMJANG vs Armor King | 88–68 | 56.41% |
| SSAMJANG vs Shaheen | 78–69 | 53.06% |
| SSAMJANG vs Xiaoyu | 72–70 | 50.70% |
| SSAMJANG vs Eddy | 56–77 | 42.11% |
| SSAMJANG vs Anna | 68–61 | 52.71% |
| SSAMJANG vs Leo | 47–81 | 36.72% |
| SSAMJANG vs Zafina | 49–69 | 41.53% |
| SSAMJANG vs Fahkumram | 54–64 | 45.76% |
| SSAMJANG vs Kuma | 41–54 | 43.16% |
| SSAMJANG vs Raven | 41–45 | 47.67% |
| SSAMJANG vs Miary Zo | 30–35 | 46.15% |
| SSAMJANG vs Panda | 20–21 | 48.78% |
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.