| Quise_fto vs King | 16–20 | 44.44% |
| Quise_fto vs Hwoarang | 15–21 | 41.67% |
| Quise_fto vs Reina | 11–21 | 34.38% |
| Quise_fto vs Eddy | 11–21 | 34.38% |
| Quise_fto vs Jin | 12–17 | 41.38% |
| Quise_fto vs Heihachi | 17–9 | 65.38% |
| Quise_fto vs Steve | 13–12 | 52.00% |
| Quise_fto vs Azucena | 11–11 | 50.00% |
| Quise_fto vs Victor | 9–13 | 40.91% |
| Quise_fto vs Lili | 12–8 | 60.00% |
| Quise_fto vs Kazuya | 13–6 | 68.42% |
| Quise_fto vs Bryan | 8–10 | 44.44% |
| Quise_fto vs Jun | 5–12 | 29.41% |
| Quise_fto vs Yoshimitsu | 11–5 | 68.75% |
| Quise_fto vs Dragunov | 10–6 | 62.50% |
| Quise_fto vs Nina | 2–14 | 12.50% |
| Quise_fto vs Paul | 6–9 | 40.00% |
| Quise_fto vs Asuka | 6–8 | 42.86% |
| Quise_fto vs Law | 5–8 | 38.46% |
| Quise_fto vs Lars | 5–8 | 38.46% |
| Quise_fto vs Lidia | 5–8 | 38.46% |
| Quise_fto vs Devil Jin | 3–8 | 27.27% |
| Quise_fto vs Alisa | 4–7 | 36.36% |
| Quise_fto vs Lee | 6–5 | 54.55% |
| Quise_fto vs Miary Zo | 5–6 | 45.45% |
| Quise_fto vs Feng | 5–5 | 50.00% |
| Quise_fto vs Kuma | 5–4 | 55.56% |
| Quise_fto vs Xiaoyu | 4–4 | 50.00% |
| Quise_fto vs Clive | 3–4 | 42.86% |
| Quise_fto vs Fahkumram | 4–2 | 66.67% |
| Quise_fto vs Leo | 1–4 | 20.00% |
| Quise_fto vs Shaheen | 1–4 | 20.00% |
| Quise_fto vs Zafina | 3–2 | 60.00% |
| Quise_fto vs Leroy | 1–4 | 20.00% |
| Quise_fto vs Jack-8 | 1–3 | 25.00% |
| Quise_fto vs Claudio | 3–1 | 75.00% |
| Quise_fto vs Panda | 2–2 | 50.00% |
| Quise_fto vs Raven | 2–1 | 66.67% |
| Quise_fto vs Anna | 0–2 | 0.00% |
| Quise_fto vs Armor King | 1–1 | 50.00% |
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.