| Clean vs Jin | 21–29 | 42.00% |
| Clean vs King | 19–22 | 46.34% |
| Clean vs Reina | 18–18 | 50.00% |
| Clean vs Kazuya | 15–17 | 46.88% |
| Clean vs Heihachi | 8–22 | 26.67% |
| Clean vs Jun | 11–17 | 39.29% |
| Clean vs Law | 6–21 | 22.22% |
| Clean vs Hwoarang | 15–12 | 55.56% |
| Clean vs Eddy | 11–14 | 44.00% |
| Clean vs Xiaoyu | 12–8 | 60.00% |
| Clean vs Asuka | 12–8 | 60.00% |
| Clean vs Feng | 14–6 | 70.00% |
| Clean vs Steve | 10–9 | 52.63% |
| Clean vs Lili | 7–12 | 36.84% |
| Clean vs Dragunov | 8–10 | 44.44% |
| Clean vs Lidia | 6–11 | 35.29% |
| Clean vs Bryan | 6–10 | 37.50% |
| Clean vs Azucena | 5–11 | 31.25% |
| Clean vs Lee | 9–6 | 60.00% |
| Clean vs Victor | 6–8 | 42.86% |
| Clean vs Clive | 4–9 | 30.77% |
| Clean vs Lars | 5–7 | 41.67% |
| Clean vs Devil Jin | 7–3 | 70.00% |
| Clean vs Claudio | 3–7 | 30.00% |
| Clean vs Yoshimitsu | 6–3 | 66.67% |
| Clean vs Alisa | 4–5 | 44.44% |
| Clean vs Kuma | 5–4 | 55.56% |
| Clean vs Leo | 4–3 | 57.14% |
| Clean vs Raven | 4–3 | 57.14% |
| Clean vs Nina | 6–0 | 100.00% |
| Clean vs Paul | 2–2 | 50.00% |
| Clean vs Zafina | 0–4 | 0.00% |
| Clean vs Jack-8 | 2–1 | 66.67% |
| Clean vs Shaheen | 0–3 | 0.00% |
| Clean vs Panda | 2–1 | 66.67% |
| Clean vs Miary Zo | 2–1 | 66.67% |
| Clean vs Leroy | 0–2 | 0.00% |
| Clean vs Fahkumram | 2–0 | 100.00% |
| Clean vs Armor King | 0–2 | 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.