| SmK_093 vs Kazuya | 164–173 | 48.66% |
| SmK_093 vs Jin | 114–144 | 44.19% |
| SmK_093 vs Reina | 79–121 | 39.50% |
| SmK_093 vs Bryan | 98–91 | 51.85% |
| SmK_093 vs King | 81–101 | 44.51% |
| SmK_093 vs Heihachi | 74–87 | 45.96% |
| SmK_093 vs Hwoarang | 72–69 | 51.06% |
| SmK_093 vs Steve | 63–72 | 46.67% |
| SmK_093 vs Dragunov | 75–60 | 55.56% |
| SmK_093 vs Lili | 64–58 | 52.46% |
| SmK_093 vs Law | 49–71 | 40.83% |
| SmK_093 vs Yoshimitsu | 46–64 | 41.82% |
| SmK_093 vs Lee | 44–66 | 40.00% |
| SmK_093 vs Paul | 39–67–1 | 36.79% |
| SmK_093 vs Devil Jin | 30–53 | 36.14% |
| SmK_093 vs Armor King | 29–49 | 37.18% |
| SmK_093 vs Eddy | 29–47 | 38.16% |
| SmK_093 vs Asuka | 40–34 | 54.05% |
| SmK_093 vs Azucena | 35–35 | 50.00% |
| SmK_093 vs Jun | 35–31 | 53.03% |
| SmK_093 vs Victor | 35–27 | 56.45% |
| SmK_093 vs Clive | 26–35 | 42.62% |
| SmK_093 vs Xiaoyu | 26–34 | 43.33% |
| SmK_093 vs Nina | 20–38 | 34.48% |
| SmK_093 vs Miary Zo | 24–31 | 43.64% |
| SmK_093 vs Leroy | 24–30 | 44.44% |
| SmK_093 vs Feng | 23–29 | 44.23% |
| SmK_093 vs Alisa | 20–31 | 39.22% |
| SmK_093 vs Lidia | 20–27 | 42.55% |
| SmK_093 vs Lars | 21–25 | 45.65% |
| SmK_093 vs Jack-8 | 20–20 | 50.00% |
| SmK_093 vs Leo | 19–20 | 48.72% |
| SmK_093 vs Fahkumram | 16–20 | 44.44% |
| SmK_093 vs Raven | 18–16 | 52.94% |
| SmK_093 vs Claudio | 6–27 | 18.18% |
| SmK_093 vs Anna | 15–10 | 60.00% |
| SmK_093 vs Shaheen | 14–10 | 58.33% |
| SmK_093 vs Zafina | 10–14 | 41.67% |
| SmK_093 vs Kuma | 3–8 | 27.27% |
| SmK_093 vs Panda | 4–6 | 40.00% |
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.