| S.ksk vs Dragunov | 59–60 | 49.58% |
| S.ksk vs Hwoarang | 48–58 | 45.28% |
| S.ksk vs Jin | 55–50 | 52.38% |
| S.ksk vs Paul | 49–51 | 49.00% |
| S.ksk vs King | 42–45 | 48.28% |
| S.ksk vs Steve | 44–38 | 53.66% |
| S.ksk vs Asuka | 42–38 | 52.50% |
| S.ksk vs Victor | 35–43 | 44.87% |
| S.ksk vs Kazuya | 31–45 | 40.79% |
| S.ksk vs Lili | 28–39 | 41.79% |
| S.ksk vs Reina | 40–25 | 61.54% |
| S.ksk vs Bryan | 40–24 | 62.50% |
| S.ksk vs Yoshimitsu | 28–33 | 45.90% |
| S.ksk vs Jun | 29–32 | 47.54% |
| S.ksk vs Clive | 24–37 | 39.34% |
| S.ksk vs Heihachi | 36–19 | 65.45% |
| S.ksk vs Law | 23–29 | 44.23% |
| S.ksk vs Azucena | 29–23 | 55.77% |
| S.ksk vs Xiaoyu | 29–21 | 58.00% |
| S.ksk vs Nina | 17–25 | 40.48% |
| S.ksk vs Feng | 26–15 | 63.41% |
| S.ksk vs Leo | 23–18 | 56.10% |
| S.ksk vs Alisa | 20–21 | 48.78% |
| S.ksk vs Devil Jin | 19–21 | 47.50% |
| S.ksk vs Jack-8 | 16–17 | 48.48% |
| S.ksk vs Claudio | 16–16 | 50.00% |
| S.ksk vs Eddy | 20–10 | 66.67% |
| S.ksk vs Lidia | 15–15 | 50.00% |
| S.ksk vs Lee | 8–20 | 28.57% |
| S.ksk vs Kuma | 16–10 | 61.54% |
| S.ksk vs Lars | 14–9 | 60.87% |
| S.ksk vs Shaheen | 10–9 | 52.63% |
| S.ksk vs Raven | 7–11 | 38.89% |
| S.ksk vs Leroy | 10–7 | 58.82% |
| S.ksk vs Zafina | 9–4 | 69.23% |
| S.ksk vs Panda | 6–5 | 54.55% |
| S.ksk vs Anna | 3–5 | 37.50% |
| S.ksk vs Fahkumram | 3–2 | 60.00% |
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.