| Smoke vs King | 22–41 | 34.92% |
| Smoke vs Hwoarang | 8–42 | 16.00% |
| Smoke vs Reina | 10–39 | 20.41% |
| Smoke vs Heihachi | 10–32 | 23.81% |
| Smoke vs Steve | 12–28 | 30.00% |
| Smoke vs Jin | 6–31 | 16.22% |
| Smoke vs Bryan | 8–26 | 23.53% |
| Smoke vs Jun | 9–23 | 28.12% |
| Smoke vs Anna | 10–22 | 31.25% |
| Smoke vs Law | 3–28 | 9.68% |
| Smoke vs Lili | 7–23 | 23.33% |
| Smoke vs Lidia | 7–19 | 26.92% |
| Smoke vs Dragunov | 9–16 | 36.00% |
| Smoke vs Nina | 10–15 | 40.00% |
| Smoke vs Victor | 4–18 | 18.18% |
| Smoke vs Fahkumram | 6–16 | 27.27% |
| Smoke vs Lars | 4–16 | 20.00% |
| Smoke vs Clive | 6–14 | 30.00% |
| Smoke vs Yoshimitsu | 6–13 | 31.58% |
| Smoke vs Kazuya | 6–13 | 31.58% |
| Smoke vs Eddy | 5–14 | 26.32% |
| Smoke vs Lee | 4–13 | 23.53% |
| Smoke vs Alisa | 2–14 | 12.50% |
| Smoke vs Leo | 5–10 | 33.33% |
| Smoke vs Paul | 3–9 | 25.00% |
| Smoke vs Leroy | 3–9 | 25.00% |
| Smoke vs Raven | 6–6 | 50.00% |
| Smoke vs Asuka | 2–9 | 18.18% |
| Smoke vs Devil Jin | 5–6 | 45.45% |
| Smoke vs Azucena | 1–10 | 9.09% |
| Smoke vs Feng | 5–4 | 55.56% |
| Smoke vs Kuma | 0–9 | 0.00% |
| Smoke vs Shaheen | 1–7 | 12.50% |
| Smoke vs Zafina | 2–6 | 25.00% |
| Smoke vs Claudio | 2–5 | 28.57% |
| Smoke vs Jack-8 | 2–4 | 33.33% |
| Smoke vs Xiaoyu | 3–2 | 60.00% |
| Smoke vs Panda | 0–2 | 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.