| Smell-That-Air vs Jin | 31–23 | 57.41% |
| Smell-That-Air vs Reina | 18–26 | 40.91% |
| Smell-That-Air vs King | 16–22 | 42.11% |
| Smell-That-Air vs Hwoarang | 15–20 | 42.86% |
| Smell-That-Air vs Law | 10–23 | 30.30% |
| Smell-That-Air vs Fahkumram | 8–18 | 30.77% |
| Smell-That-Air vs Steve | 13–11 | 54.17% |
| Smell-That-Air vs Azucena | 5–14 | 26.32% |
| Smell-That-Air vs Devil Jin | 6–12 | 33.33% |
| Smell-That-Air vs Alisa | 9–9 | 50.00% |
| Smell-That-Air vs Asuka | 6–10 | 37.50% |
| Smell-That-Air vs Lili | 12–4 | 75.00% |
| Smell-That-Air vs Anna | 4–12 | 25.00% |
| Smell-That-Air vs Bryan | 4–11 | 26.67% |
| Smell-That-Air vs Dragunov | 5–10 | 33.33% |
| Smell-That-Air vs Kazuya | 3–11 | 21.43% |
| Smell-That-Air vs Leroy | 7–3 | 70.00% |
| Smell-That-Air vs Xiaoyu | 5–4 | 55.56% |
| Smell-That-Air vs Lee | 3–6 | 33.33% |
| Smell-That-Air vs Paul | 1–7 | 12.50% |
| Smell-That-Air vs Jun | 5–3 | 62.50% |
| Smell-That-Air vs Victor | 7–1 | 87.50% |
| Smell-That-Air vs Yoshimitsu | 2–5 | 28.57% |
| Smell-That-Air vs Feng | 3–4 | 42.86% |
| Smell-That-Air vs Clive | 3–4 | 42.86% |
| Smell-That-Air vs Claudio | 4–2 | 66.67% |
| Smell-That-Air vs Raven | 2–4 | 33.33% |
| Smell-That-Air vs Eddy | 1–5 | 16.67% |
| Smell-That-Air vs Lidia | 4–2 | 66.67% |
| Smell-That-Air vs Heihachi | 2–4 | 33.33% |
| Smell-That-Air vs Nina | 1–4 | 20.00% |
| Smell-That-Air vs Miary Zo | 3–2 | 60.00% |
| Smell-That-Air vs Lars | 2–2 | 50.00% |
| Smell-That-Air vs Zafina | 0–4 | 0.00% |
| Smell-That-Air vs Shaheen | 0–2 | 0.00% |
| Smell-That-Air vs Leo | 1–0 | 100.00% |
| Smell-That-Air vs Armor King | 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.