| bbc_enjoyer vs Hwoarang | 30–22 | 57.69% |
| bbc_enjoyer vs Reina | 35–16 | 68.63% |
| bbc_enjoyer vs Kazuya | 29–16 | 64.44% |
| bbc_enjoyer vs Jin | 21–22 | 48.84% |
| bbc_enjoyer vs Bryan | 17–20 | 45.95% |
| bbc_enjoyer vs Asuka | 22–15 | 59.46% |
| bbc_enjoyer vs Paul | 23–11 | 67.65% |
| bbc_enjoyer vs King | 14–16 | 46.67% |
| bbc_enjoyer vs Dragunov | 14–14 | 50.00% |
| bbc_enjoyer vs Steve | 16–10 | 61.54% |
| bbc_enjoyer vs Eddy | 14–11 | 56.00% |
| bbc_enjoyer vs Law | 11–11 | 50.00% |
| bbc_enjoyer vs Victor | 16–6 | 72.73% |
| bbc_enjoyer vs Xiaoyu | 7–12 | 36.84% |
| bbc_enjoyer vs Azucena | 15–4 | 78.95% |
| bbc_enjoyer vs Devil Jin | 8–10 | 44.44% |
| bbc_enjoyer vs Lili | 9–6 | 60.00% |
| bbc_enjoyer vs Lee | 10–4 | 71.43% |
| bbc_enjoyer vs Yoshimitsu | 5–7 | 41.67% |
| bbc_enjoyer vs Feng | 7–5 | 58.33% |
| bbc_enjoyer vs Jun | 6–6 | 50.00% |
| bbc_enjoyer vs Jack-8 | 3–7 | 30.00% |
| bbc_enjoyer vs Alisa | 6–4 | 60.00% |
| bbc_enjoyer vs Raven | 6–3 | 66.67% |
| bbc_enjoyer vs Lars | 5–3 | 62.50% |
| bbc_enjoyer vs Leroy | 4–3 | 57.14% |
| bbc_enjoyer vs Nina | 5–1 | 83.33% |
| bbc_enjoyer vs Claudio | 3–2 | 60.00% |
| bbc_enjoyer vs Kuma | 0–3 | 0.00% |
| bbc_enjoyer vs Lidia | 3–0 | 100.00% |
| bbc_enjoyer vs Leo | 0–2 | 0.00% |
| bbc_enjoyer vs Zafina | 2–0 | 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.