| Quiet vs King | 28–22 | 56.00% |
| Quiet vs Kazuya | 27–17 | 61.36% |
| Quiet vs Eddy | 18–23 | 43.90% |
| Quiet vs Steve | 19–17 | 52.78% |
| Quiet vs Hwoarang | 28–7 | 80.00% |
| Quiet vs Jin | 17–15 | 53.12% |
| Quiet vs Bryan | 18–11 | 62.07% |
| Quiet vs Yoshimitsu | 12–13 | 48.00% |
| Quiet vs Heihachi | 14–9 | 60.87% |
| Quiet vs Dragunov | 13–9 | 59.09% |
| Quiet vs Paul | 11–10 | 52.38% |
| Quiet vs Reina | 13–7 | 65.00% |
| Quiet vs Lars | 5–14 | 26.32% |
| Quiet vs Lee | 12–6 | 66.67% |
| Quiet vs Lili | 10–7 | 58.82% |
| Quiet vs Law | 9–7 | 56.25% |
| Quiet vs Xiaoyu | 8–8 | 50.00% |
| Quiet vs Clive | 11–5 | 68.75% |
| Quiet vs Leo | 5–9 | 35.71% |
| Quiet vs Nina | 11–2 | 84.62% |
| Quiet vs Devil Jin | 9–3 | 75.00% |
| Quiet vs Azucena | 7–4 | 63.64% |
| Quiet vs Lidia | 11–0 | 100.00% |
| Quiet vs Jack-8 | 6–4 | 60.00% |
| Quiet vs Victor | 9–1 | 90.00% |
| Quiet vs Alisa | 5–4 | 55.56% |
| Quiet vs Leroy | 6–3 | 66.67% |
| Quiet vs Feng | 5–3 | 62.50% |
| Quiet vs Jun | 4–3 | 57.14% |
| Quiet vs Raven | 4–2 | 66.67% |
| Quiet vs Shaheen | 3–2 | 60.00% |
| Quiet vs Kuma | 2–3 | 40.00% |
| Quiet vs Asuka | 2–0 | 100.00% |
| Quiet vs Panda | 2–0 | 100.00% |
| Quiet vs Zafina | 2–0 | 100.00% |
| Quiet vs Anna | 2–0 | 100.00% |
| Quiet vs Claudio | 1–0 | 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.