| Qwinkle vs Jin | 136–107 | 55.97% |
| Qwinkle vs Hwoarang | 125–92 | 57.60% |
| Qwinkle vs Bryan | 118–98 | 54.63% |
| Qwinkle vs Heihachi | 85–128 | 39.91% |
| Qwinkle vs Kazuya | 106–106 | 50.00% |
| Qwinkle vs Steve | 96–76 | 55.81% |
| Qwinkle vs King | 102–65 | 61.08% |
| Qwinkle vs Reina | 92–74 | 55.42% |
| Qwinkle vs Law | 83–78 | 51.55% |
| Qwinkle vs Yoshimitsu | 85–74 | 53.46% |
| Qwinkle vs Dragunov | 84–74 | 53.16% |
| Qwinkle vs Lee | 74–71 | 51.03% |
| Qwinkle vs Devil Jin | 73–67 | 52.14% |
| Qwinkle vs Paul | 66–71 | 48.18% |
| Qwinkle vs Lili | 64–64 | 50.00% |
| Qwinkle vs Raven | 59–69 | 46.09% |
| Qwinkle vs Xiaoyu | 65–61 | 51.59% |
| Qwinkle vs Lars | 65–61 | 51.59% |
| Qwinkle vs Asuka | 53–58 | 47.75% |
| Qwinkle vs Leo | 59–44 | 57.28% |
| Qwinkle vs Feng | 49–50 | 49.49% |
| Qwinkle vs Azucena | 63–30 | 67.74% |
| Qwinkle vs Jun | 34–54 | 38.64% |
| Qwinkle vs Victor | 52–36 | 59.09% |
| Qwinkle vs Leroy | 49–33 | 59.76% |
| Qwinkle vs Alisa | 47–33 | 58.75% |
| Qwinkle vs Lidia | 43–37 | 53.75% |
| Qwinkle vs Eddy | 35–41 | 46.05% |
| Qwinkle vs Jack-8 | 30–44 | 40.54% |
| Qwinkle vs Claudio | 32–37 | 46.38% |
| Qwinkle vs Zafina | 30–32 | 48.39% |
| Qwinkle vs Nina | 17–37 | 31.48% |
| Qwinkle vs Shaheen | 23–26 | 46.94% |
| Qwinkle vs Panda | 15–21 | 41.67% |
| Qwinkle vs Kuma | 17–11 | 60.71% |
| Qwinkle vs Clive | 6–18 | 25.00% |
| Qwinkle vs Fahkumram | 6–6 | 50.00% |
| Qwinkle vs Armor King | 5–4 | 55.56% |
| Qwinkle vs Anna | 3–5 | 37.50% |
| Qwinkle vs Miary Zo | 2–4 | 33.33% |
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.