| SmellySmell vs Kazuya | 24–1 | 96.00% |
| SmellySmell vs Jin | 14–7 | 66.67% |
| SmellySmell vs Steve | 14–5 | 73.68% |
| SmellySmell vs Law | 17–1 | 94.44% |
| SmellySmell vs King | 13–3 | 81.25% |
| SmellySmell vs Lili | 13–2 | 86.67% |
| SmellySmell vs Jun | 10–5 | 66.67% |
| SmellySmell vs Hwoarang | 12–0 | 100.00% |
| SmellySmell vs Dragunov | 8–3 | 72.73% |
| SmellySmell vs Bryan | 9–0 | 100.00% |
| SmellySmell vs Devil Jin | 8–1 | 88.89% |
| SmellySmell vs Eddy | 8–1 | 88.89% |
| SmellySmell vs Xiaoyu | 7–1 | 87.50% |
| SmellySmell vs Feng | 8–0 | 100.00% |
| SmellySmell vs Victor | 7–1 | 87.50% |
| SmellySmell vs Heihachi | 6–1 | 85.71% |
| SmellySmell vs Clive | 6–1 | 85.71% |
| SmellySmell vs Paul | 6–0 | 100.00% |
| SmellySmell vs Lee | 6–0 | 100.00% |
| SmellySmell vs Lidia | 3–3 | 50.00% |
| SmellySmell vs Armor King | 6–0 | 100.00% |
| SmellySmell vs Miary Zo | 5–1 | 83.33% |
| SmellySmell vs Yoshimitsu | 5–0 | 100.00% |
| SmellySmell vs Shaheen | 4–1 | 80.00% |
| SmellySmell vs Anna | 5–0 | 100.00% |
| SmellySmell vs Zafina | 4–0 | 100.00% |
| SmellySmell vs Asuka | 3–0 | 100.00% |
| SmellySmell vs Alisa | 2–1 | 66.67% |
| SmellySmell vs Leo | 2–0 | 100.00% |
| SmellySmell vs Lars | 2–0 | 100.00% |
| SmellySmell vs Nina | 2–0 | 100.00% |
| SmellySmell vs Reina | 2–0 | 100.00% |
| SmellySmell vs Raven | 2–0 | 100.00% |
| SmellySmell vs Jack-8 | 0–1 | 0.00% |
| SmellySmell vs Kuma | 1–0 | 100.00% |
| SmellySmell vs Leroy | 1–0 | 100.00% |
| SmellySmell vs Azucena | 1–0 | 100.00% |
| SmellySmell vs Fahkumram | 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.