| Streetkiss vs Kazuya | 127–81 | 61.06% |
| Streetkiss vs Jin | 75–76 | 49.67% |
| Streetkiss vs King | 69–59 | 53.91% |
| Streetkiss vs Bryan | 43–51 | 45.74% |
| Streetkiss vs Lili | 38–55 | 40.86% |
| Streetkiss vs Paul | 53–34 | 60.92% |
| Streetkiss vs Law | 31–55 | 36.05% |
| Streetkiss vs Heihachi | 31–47 | 39.74% |
| Streetkiss vs Steve | 37–40 | 48.05% |
| Streetkiss vs Hwoarang | 47–29 | 61.84% |
| Streetkiss vs Reina | 28–43 | 39.44% |
| Streetkiss vs Dragunov | 26–34 | 43.33% |
| Streetkiss vs Yoshimitsu | 21–38 | 35.59% |
| Streetkiss vs Devil Jin | 21–31 | 40.38% |
| Streetkiss vs Lee | 22–26 | 45.83% |
| Streetkiss vs Jun | 19–28 | 40.43% |
| Streetkiss vs Asuka | 23–20 | 53.49% |
| Streetkiss vs Feng | 18–24 | 42.86% |
| Streetkiss vs Lars | 19–22 | 46.34% |
| Streetkiss vs Eddy | 20–16 | 55.56% |
| Streetkiss vs Azucena | 11–24 | 31.43% |
| Streetkiss vs Xiaoyu | 16–18 | 47.06% |
| Streetkiss vs Lidia | 19–12 | 61.29% |
| Streetkiss vs Claudio | 12–18 | 40.00% |
| Streetkiss vs Nina | 16–14 | 53.33% |
| Streetkiss vs Jack-8 | 14–14 | 50.00% |
| Streetkiss vs Clive | 11–14 | 44.00% |
| Streetkiss vs Leroy | 8–13 | 38.10% |
| Streetkiss vs Fahkumram | 9–10 | 47.37% |
| Streetkiss vs Leo | 8–10 | 44.44% |
| Streetkiss vs Victor | 6–10 | 37.50% |
| Streetkiss vs Raven | 2–11 | 15.38% |
| Streetkiss vs Alisa | 3–8 | 27.27% |
| Streetkiss vs Shaheen | 1–7 | 12.50% |
| Streetkiss vs Anna | 3–5 | 37.50% |
| Streetkiss vs Kuma | 0–4 | 0.00% |
| Streetkiss vs Zafina | 2–2 | 50.00% |
| Streetkiss vs Panda | 0–3 | 0.00% |
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.