| qwee vs Kazuya | 33–24 | 57.89% |
| qwee vs Jin | 21–24 | 46.67% |
| qwee vs King | 20–24 | 45.45% |
| qwee vs Hwoarang | 17–27 | 38.64% |
| qwee vs Dragunov | 23–21 | 52.27% |
| qwee vs Paul | 24–17 | 58.54% |
| qwee vs Armor King | 18–19 | 48.65% |
| qwee vs Yoshimitsu | 19–13 | 59.38% |
| qwee vs Jun | 17–14 | 54.84% |
| qwee vs Reina | 16–13 | 55.17% |
| qwee vs Lili | 12–15 | 44.44% |
| qwee vs Alisa | 13–14 | 48.15% |
| qwee vs Azucena | 16–10 | 61.54% |
| qwee vs Bryan | 10–12 | 45.45% |
| qwee vs Victor | 12–10 | 54.55% |
| qwee vs Devil Jin | 8–10 | 44.44% |
| qwee vs Claudio | 7–11 | 38.89% |
| qwee vs Miary Zo | 10–8 | 55.56% |
| qwee vs Law | 7–9 | 43.75% |
| qwee vs Steve | 7–9 | 43.75% |
| qwee vs Nina | 8–8 | 50.00% |
| qwee vs Feng | 8–6 | 57.14% |
| qwee vs Lars | 3–10 | 23.08% |
| qwee vs Lidia | 4–7 | 36.36% |
| qwee vs Eddy | 5–5 | 50.00% |
| qwee vs Asuka | 3–6 | 33.33% |
| qwee vs Leroy | 3–5 | 37.50% |
| qwee vs Jack-8 | 2–5 | 28.57% |
| qwee vs Xiaoyu | 2–4 | 33.33% |
| qwee vs Leo | 3–2 | 60.00% |
| qwee vs Shaheen | 0–5 | 0.00% |
| qwee vs Panda | 0–5 | 0.00% |
| qwee vs Zafina | 4–1 | 80.00% |
| qwee vs Raven | 3–1 | 75.00% |
| qwee vs Lee | 2–1 | 66.67% |
| qwee vs Kuma | 2–1 | 66.67% |
| qwee vs Heihachi | 2–1 | 66.67% |
| qwee vs Fahkumram | 0–3 | 0.00% |
| qwee vs Clive | 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.