| Smuglærn vs Kazuya | 63–54 | 53.85% |
| Smuglærn vs Jin | 51–59 | 46.36% |
| Smuglærn vs Heihachi | 53–48 | 52.48% |
| Smuglærn vs Reina | 64–30 | 68.09% |
| Smuglærn vs King | 37–40 | 48.05% |
| Smuglærn vs Steve | 33–30 | 52.38% |
| Smuglærn vs Bryan | 33–28 | 54.10% |
| Smuglærn vs Hwoarang | 34–24 | 58.62% |
| Smuglærn vs Clive | 28–24 | 53.85% |
| Smuglærn vs Yoshimitsu | 23–23 | 50.00% |
| Smuglærn vs Lili | 18–23 | 43.90% |
| Smuglærn vs Law | 25–13 | 65.79% |
| Smuglærn vs Nina | 19–19 | 50.00% |
| Smuglærn vs Lee | 18–19 | 48.65% |
| Smuglærn vs Dragunov | 16–20 | 44.44% |
| Smuglærn vs Azucena | 19–14 | 57.58% |
| Smuglærn vs Paul | 18–12 | 60.00% |
| Smuglærn vs Asuka | 12–17 | 41.38% |
| Smuglærn vs Jun | 12–13 | 48.00% |
| Smuglærn vs Victor | 13–12 | 52.00% |
| Smuglærn vs Miary Zo | 14–11 | 56.00% |
| Smuglærn vs Eddy | 10–14 | 41.67% |
| Smuglærn vs Devil Jin | 12–11 | 52.17% |
| Smuglærn vs Alisa | 10–13 | 43.48% |
| Smuglærn vs Xiaoyu | 11–9 | 55.00% |
| Smuglærn vs Feng | 10–9 | 52.63% |
| Smuglærn vs Armor King | 11–8 | 57.89% |
| Smuglærn vs Raven | 11–7 | 61.11% |
| Smuglærn vs Lars | 6–11 | 35.29% |
| Smuglærn vs Lidia | 10–7 | 58.82% |
| Smuglærn vs Leo | 6–9 | 40.00% |
| Smuglærn vs Leroy | 7–7 | 50.00% |
| Smuglærn vs Kuma | 7–5 | 58.33% |
| Smuglærn vs Jack-8 | 3–8 | 27.27% |
| Smuglærn vs Fahkumram | 8–3 | 72.73% |
| Smuglærn vs Claudio | 6–4 | 60.00% |
| Smuglærn vs Anna | 5–3 | 62.50% |
| Smuglærn vs Shaheen | 2–4 | 33.33% |
| Smuglærn vs Zafina | 4–2 | 66.67% |
| Smuglærn vs Panda | 1–4 | 20.00% |
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.