| Smiley vs Jin | 17–27 | 38.64% |
| Smiley vs King | 13–25 | 34.21% |
| Smiley vs Reina | 10–22 | 31.25% |
| Smiley vs Steve | 15–15 | 50.00% |
| Smiley vs Dragunov | 15–15 | 50.00% |
| Smiley vs Law | 10–18 | 35.71% |
| Smiley vs Hwoarang | 14–14 | 50.00% |
| Smiley vs Kazuya | 12–13 | 48.00% |
| Smiley vs Jun | 12–13 | 48.00% |
| Smiley vs Lidia | 16–8 | 66.67% |
| Smiley vs Clive | 7–17 | 29.17% |
| Smiley vs Alisa | 8–15 | 34.78% |
| Smiley vs Devil Jin | 7–15 | 31.82% |
| Smiley vs Bryan | 6–14 | 30.00% |
| Smiley vs Yoshimitsu | 6–13 | 31.58% |
| Smiley vs Raven | 5–12 | 29.41% |
| Smiley vs Lee | 8–8 | 50.00% |
| Smiley vs Lili | 5–10 | 33.33% |
| Smiley vs Nina | 5–10 | 33.33% |
| Smiley vs Azucena | 8–7 | 53.33% |
| Smiley vs Xiaoyu | 7–6 | 53.85% |
| Smiley vs Asuka | 4–9 | 30.77% |
| Smiley vs Victor | 5–7 | 41.67% |
| Smiley vs Kuma | 7–3 | 70.00% |
| Smiley vs Eddy | 7–3 | 70.00% |
| Smiley vs Feng | 1–8 | 11.11% |
| Smiley vs Leo | 6–3 | 66.67% |
| Smiley vs Lars | 6–3 | 66.67% |
| Smiley vs Heihachi | 3–6 | 33.33% |
| Smiley vs Claudio | 5–3 | 62.50% |
| Smiley vs Anna | 2–6 | 25.00% |
| Smiley vs Paul | 2–5 | 28.57% |
| Smiley vs Panda | 2–3 | 40.00% |
| Smiley vs Zafina | 4–0 | 100.00% |
| Smiley vs Leroy | 1–2 | 33.33% |
| Smiley vs Jack-8 | 2–0 | 100.00% |
| Smiley vs Armor King | 2–0 | 100.00% |
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.