| wSmokey vs Jin | 26–37 | 41.27% |
| wSmokey vs Kazuya | 18–21 | 46.15% |
| wSmokey vs Reina | 15–21 | 41.67% |
| wSmokey vs Bryan | 14–20 | 41.18% |
| wSmokey vs King | 16–17 | 48.48% |
| wSmokey vs Yoshimitsu | 9–22–1 | 29.03% |
| wSmokey vs Law | 17–14 | 54.84% |
| wSmokey vs Jun | 15–14 | 51.72% |
| wSmokey vs Steve | 11–17 | 39.29% |
| wSmokey vs Hwoarang | 17–10 | 62.96% |
| wSmokey vs Heihachi | 12–9 | 57.14% |
| wSmokey vs Devil Jin | 7–13 | 35.00% |
| wSmokey vs Paul | 9–10 | 47.37% |
| wSmokey vs Clive | 14–5 | 73.68% |
| wSmokey vs Anna | 10–9 | 52.63% |
| wSmokey vs Nina | 8–8 | 50.00% |
| wSmokey vs Lars | 12–3 | 80.00% |
| wSmokey vs Eddy | 8–7 | 53.33% |
| wSmokey vs Lee | 10–4 | 71.43% |
| wSmokey vs Xiaoyu | 4–9 | 30.77% |
| wSmokey vs Dragunov | 8–5 | 61.54% |
| wSmokey vs Asuka | 2–9 | 18.18% |
| wSmokey vs Leroy | 9–2 | 81.82% |
| wSmokey vs Raven | 8–3 | 72.73% |
| wSmokey vs Jack-8 | 7–3 | 70.00% |
| wSmokey vs Feng | 8–2 | 80.00% |
| wSmokey vs Lidia | 6–4 | 60.00% |
| wSmokey vs Leo | 2–7 | 22.22% |
| wSmokey vs Alisa | 5–3 | 62.50% |
| wSmokey vs Kuma | 4–4 | 50.00% |
| wSmokey vs Azucena | 2–6 | 25.00% |
| wSmokey vs Victor | 1–6–1 | 14.29% |
| wSmokey vs Claudio | 3–4 | 42.86% |
| wSmokey vs Lili | 3–2 | 60.00% |
| wSmokey vs Shaheen | 2–1 | 66.67% |
| wSmokey vs Zafina | 1–1 | 50.00% |
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.