| Smeargle vs Reina | 22–22 | 50.00% |
| Smeargle vs King | 16–24 | 40.00% |
| Smeargle vs Clive | 13–17 | 43.33% |
| Smeargle vs Heihachi | 16–13 | 55.17% |
| Smeargle vs Steve | 15–12 | 55.56% |
| Smeargle vs Hwoarang | 11–14 | 44.00% |
| Smeargle vs Jin | 11–14 | 44.00% |
| Smeargle vs Dragunov | 12–10 | 54.55% |
| Smeargle vs Kazuya | 6–11 | 35.29% |
| Smeargle vs Jun | 6–9 | 40.00% |
| Smeargle vs Victor | 9–6 | 60.00% |
| Smeargle vs Yoshimitsu | 4–10 | 28.57% |
| Smeargle vs Paul | 8–5 | 61.54% |
| Smeargle vs Lili | 4–9 | 30.77% |
| Smeargle vs Xiaoyu | 4–8 | 33.33% |
| Smeargle vs Leroy | 4–8 | 33.33% |
| Smeargle vs Azucena | 6–6 | 50.00% |
| Smeargle vs Law | 3–8 | 27.27% |
| Smeargle vs Lars | 5–6 | 45.45% |
| Smeargle vs Lidia | 4–7 | 36.36% |
| Smeargle vs Bryan | 6–4 | 60.00% |
| Smeargle vs Raven | 4–5 | 44.44% |
| Smeargle vs Zafina | 3–5 | 37.50% |
| Smeargle vs Shaheen | 4–3 | 57.14% |
| Smeargle vs Kuma | 2–5 | 28.57% |
| Smeargle vs Jack-8 | 5–1 | 83.33% |
| Smeargle vs Nina | 0–6 | 0.00% |
| Smeargle vs Lee | 4–2 | 66.67% |
| Smeargle vs Asuka | 0–4 | 0.00% |
| Smeargle vs Devil Jin | 2–2 | 50.00% |
| Smeargle vs Feng | 1–3 | 25.00% |
| Smeargle vs Leo | 2–2 | 50.00% |
| Smeargle vs Eddy | 0–3 | 0.00% |
| Smeargle vs Panda | 0–2 | 0.00% |
| Smeargle vs Claudio | 0–1 | 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.