| B0BQM vs King | 37–28 | 56.92% |
| B0BQM vs Reina | 31–23 | 57.41% |
| B0BQM vs Kazuya | 27–18 | 60.00% |
| B0BQM vs Jin | 18–24 | 42.86% |
| B0BQM vs Steve | 21–21 | 50.00% |
| B0BQM vs Bryan | 16–21 | 43.24% |
| B0BQM vs Paul | 18–13 | 58.06% |
| B0BQM vs Eddy | 18–9 | 66.67% |
| B0BQM vs Law | 13–13 | 50.00% |
| B0BQM vs Lars | 16–8 | 66.67% |
| B0BQM vs Hwoarang | 14–9 | 60.87% |
| B0BQM vs Azucena | 15–7 | 68.18% |
| B0BQM vs Asuka | 12–9 | 57.14% |
| B0BQM vs Lili | 10–10 | 50.00% |
| B0BQM vs Yoshimitsu | 11–7 | 61.11% |
| B0BQM vs Victor | 10–8 | 55.56% |
| B0BQM vs Leroy | 7–9 | 43.75% |
| B0BQM vs Jun | 3–13 | 18.75% |
| B0BQM vs Nina | 9–6 | 60.00% |
| B0BQM vs Lee | 10–4 | 71.43% |
| B0BQM vs Heihachi | 11–3 | 78.57% |
| B0BQM vs Xiaoyu | 10–3 | 76.92% |
| B0BQM vs Devil Jin | 6–7 | 46.15% |
| B0BQM vs Leo | 7–6 | 53.85% |
| B0BQM vs Feng | 7–5 | 58.33% |
| B0BQM vs Lidia | 6–6 | 50.00% |
| B0BQM vs Claudio | 3–6 | 33.33% |
| B0BQM vs Shaheen | 6–2 | 75.00% |
| B0BQM vs Raven | 8–0 | 100.00% |
| B0BQM vs Jack-8 | 4–3 | 57.14% |
| B0BQM vs Dragunov | 2–5 | 28.57% |
| B0BQM vs Anna | 3–4 | 42.86% |
| B0BQM vs Armor King | 3–3 | 50.00% |
| B0BQM vs Alisa | 3–2 | 60.00% |
| B0BQM vs Kuma | 2–2 | 50.00% |
| B0BQM vs Zafina | 0–3 | 0.00% |
| B0BQM vs Clive | 2–0 | 100.00% |
| B0BQM vs Panda | 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.