| fqvsl vs King | 41–34 | 54.67% |
| fqvsl vs Kazuya | 40–30 | 57.14% |
| fqvsl vs Hwoarang | 27–34 | 44.26% |
| fqvsl vs Jin | 24–33 | 42.11% |
| fqvsl vs Reina | 26–23 | 53.06% |
| fqvsl vs Bryan | 19–25 | 43.18% |
| fqvsl vs Heihachi | 23–19 | 54.76% |
| fqvsl vs Law | 19–17 | 52.78% |
| fqvsl vs Yoshimitsu | 21–12 | 63.64% |
| fqvsl vs Lili | 17–16 | 51.52% |
| fqvsl vs Dragunov | 7–22 | 24.14% |
| fqvsl vs Lee | 14–14 | 50.00% |
| fqvsl vs Asuka | 18–9 | 66.67% |
| fqvsl vs Steve | 18–8 | 69.23% |
| fqvsl vs Xiaoyu | 7–16 | 30.43% |
| fqvsl vs Lars | 14–8 | 63.64% |
| fqvsl vs Alisa | 9–12 | 42.86% |
| fqvsl vs Leo | 10–9 | 52.63% |
| fqvsl vs Paul | 6–12 | 33.33% |
| fqvsl vs Lidia | 12–6 | 66.67% |
| fqvsl vs Devil Jin | 9–8 | 52.94% |
| fqvsl vs Claudio | 11–6 | 64.71% |
| fqvsl vs Nina | 11–6 | 64.71% |
| fqvsl vs Jun | 10–7 | 58.82% |
| fqvsl vs Feng | 9–6 | 60.00% |
| fqvsl vs Jack-8 | 6–8 | 42.86% |
| fqvsl vs Victor | 9–4 | 69.23% |
| fqvsl vs Azucena | 5–5 | 50.00% |
| fqvsl vs Clive | 3–7 | 30.00% |
| fqvsl vs Raven | 8–1 | 88.89% |
| fqvsl vs Eddy | 4–4 | 50.00% |
| fqvsl vs Shaheen | 2–2 | 50.00% |
| fqvsl vs Zafina | 4–0 | 100.00% |
| fqvsl vs Leroy | 1–3 | 25.00% |
| fqvsl vs Kuma | 3–0 | 100.00% |
| fqvsl vs Panda | 0–3 | 0.00% |
| fqvsl vs Anna | 0–2 | 0.00% |
| fqvsl vs Fahkumram | 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.