| qq_it vs Jin | 32–44 | 42.11% |
| qq_it vs King | 35–39 | 47.30% |
| qq_it vs Steve | 34–37 | 47.89% |
| qq_it vs Armor King | 17–46 | 26.98% |
| qq_it vs Kazuya | 27–33 | 45.00% |
| qq_it vs Bryan | 17–39 | 30.36% |
| qq_it vs Lili | 14–19 | 42.42% |
| qq_it vs Law | 11–17 | 39.29% |
| qq_it vs Dragunov | 12–13 | 48.00% |
| qq_it vs Hwoarang | 7–15 | 31.82% |
| qq_it vs Lars | 9–6 | 60.00% |
| qq_it vs Lee | 3–12 | 20.00% |
| qq_it vs Fahkumram | 8–7 | 53.33% |
| qq_it vs Reina | 5–9 | 35.71% |
| qq_it vs Heihachi | 4–10 | 28.57% |
| qq_it vs Nina | 9–4 | 69.23% |
| qq_it vs Paul | 5–7 | 41.67% |
| qq_it vs Alisa | 7–4 | 63.64% |
| qq_it vs Azucena | 6–5 | 54.55% |
| qq_it vs Victor | 5–6 | 45.45% |
| qq_it vs Lidia | 6–5 | 54.55% |
| qq_it vs Devil Jin | 6–4 | 60.00% |
| qq_it vs Eddy | 6–4 | 60.00% |
| qq_it vs Yoshimitsu | 1–8 | 11.11% |
| qq_it vs Xiaoyu | 3–6 | 33.33% |
| qq_it vs Leo | 2–6 | 25.00% |
| qq_it vs Asuka | 2–5 | 28.57% |
| qq_it vs Jun | 1–6 | 14.29% |
| qq_it vs Jack-8 | 6–0 | 100.00% |
| qq_it vs Clive | 1–4 | 20.00% |
| qq_it vs Anna | 0–4 | 0.00% |
| qq_it vs Shaheen | 2–1 | 66.67% |
| qq_it vs Kuma | 0–3 | 0.00% |
| qq_it vs Zafina | 2–1 | 66.67% |
| qq_it vs Claudio | 0–2 | 0.00% |
| qq_it vs Leroy | 2–0 | 100.00% |
| qq_it vs Feng | 1–0 | 100.00% |
| qq_it vs Raven | 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.