| SSANGkal vs Kazuya | 161–133 | 54.76% |
| SSANGkal vs Jin | 101–100 | 50.25% |
| SSANGkal vs Paul | 94–97–1 | 49.21% |
| SSANGkal vs Dragunov | 92–96 | 48.94% |
| SSANGkal vs Reina | 86–92 | 48.31% |
| SSANGkal vs King | 72–98 | 42.35% |
| SSANGkal vs Bryan | 58–85 | 40.56% |
| SSANGkal vs Lili | 76–64 | 54.29% |
| SSANGkal vs Asuka | 54–54 | 50.00% |
| SSANGkal vs Hwoarang | 43–62 | 40.95% |
| SSANGkal vs Jun | 43–50 | 46.24% |
| SSANGkal vs Devil Jin | 47–42 | 52.81% |
| SSANGkal vs Victor | 35–52 | 40.23% |
| SSANGkal vs Steve | 37–48 | 43.53% |
| SSANGkal vs Law | 40–43 | 48.19% |
| SSANGkal vs Claudio | 41–42 | 49.40% |
| SSANGkal vs Clive | 30–45 | 40.00% |
| SSANGkal vs Yoshimitsu | 33–39 | 45.83% |
| SSANGkal vs Azucena | 33–38 | 46.48% |
| SSANGkal vs Lidia | 33–34 | 49.25% |
| SSANGkal vs Nina | 23–32 | 41.82% |
| SSANGkal vs Eddy | 19–36 | 34.55% |
| SSANGkal vs Heihachi | 23–31 | 42.59% |
| SSANGkal vs Xiaoyu | 25–24 | 51.02% |
| SSANGkal vs Alisa | 20–29 | 40.82% |
| SSANGkal vs Feng | 17–31 | 35.42% |
| SSANGkal vs Lars | 17–30 | 36.17% |
| SSANGkal vs Lee | 18–24 | 42.86% |
| SSANGkal vs Leroy | 15–27 | 35.71% |
| SSANGkal vs Leo | 21–18 | 53.85% |
| SSANGkal vs Fahkumram | 13–21 | 38.24% |
| SSANGkal vs Kuma | 11–19 | 36.67% |
| SSANGkal vs Jack-8 | 13–16 | 44.83% |
| SSANGkal vs Armor King | 13–12 | 52.00% |
| SSANGkal vs Raven | 6–16 | 27.27% |
| SSANGkal vs Shaheen | 8–13 | 38.10% |
| SSANGkal vs Zafina | 9–12 | 42.86% |
| SSANGkal vs Panda | 8–8 | 50.00% |
| SSANGkal vs Anna | 5–9 | 35.71% |
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.