| QWERTYUIOPru vs Reina | 13–11 | 54.17% |
| QWERTYUIOPru vs Kazuya | 12–11 | 52.17% |
| QWERTYUIOPru vs Steve | 13–9 | 59.09% |
| QWERTYUIOPru vs Hwoarang | 13–7 | 65.00% |
| QWERTYUIOPru vs Jin | 7–10 | 41.18% |
| QWERTYUIOPru vs Bryan | 4–12 | 25.00% |
| QWERTYUIOPru vs Dragunov | 9–7 | 56.25% |
| QWERTYUIOPru vs Lili | 6–8 | 42.86% |
| QWERTYUIOPru vs Jun | 5–7 | 41.67% |
| QWERTYUIOPru vs Azucena | 9–2 | 81.82% |
| QWERTYUIOPru vs Paul | 5–5 | 50.00% |
| QWERTYUIOPru vs King | 3–7 | 30.00% |
| QWERTYUIOPru vs Yoshimitsu | 8–2 | 80.00% |
| QWERTYUIOPru vs Lars | 4–6 | 40.00% |
| QWERTYUIOPru vs Nina | 4–5 | 44.44% |
| QWERTYUIOPru vs Lee | 3–5 | 37.50% |
| QWERTYUIOPru vs Xiaoyu | 3–4 | 42.86% |
| QWERTYUIOPru vs Asuka | 4–3 | 57.14% |
| QWERTYUIOPru vs Eddy | 4–2 | 66.67% |
| QWERTYUIOPru vs Law | 1–4 | 20.00% |
| QWERTYUIOPru vs Leroy | 2–3 | 40.00% |
| QWERTYUIOPru vs Leo | 2–2 | 50.00% |
| QWERTYUIOPru vs Raven | 3–1 | 75.00% |
| QWERTYUIOPru vs Heihachi | 3–1 | 75.00% |
| QWERTYUIOPru vs Feng | 2–1 | 66.67% |
| QWERTYUIOPru vs Kuma | 1–2 | 33.33% |
| QWERTYUIOPru vs Jack-8 | 0–2 | 0.00% |
| QWERTYUIOPru vs Devil Jin | 2–0 | 100.00% |
| QWERTYUIOPru vs Alisa | 0–2 | 0.00% |
| QWERTYUIOPru vs Shaheen | 0–2 | 0.00% |
| QWERTYUIOPru vs Zafina | 2–0 | 100.00% |
| QWERTYUIOPru vs Victor | 1–1 | 50.00% |
| QWERTYUIOPru vs Claudio | 1–0 | 100.00% |
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.