| bbd_여맹두 vs Kazuya | 77–47 | 62.10% |
| bbd_여맹두 vs Dragunov | 41–46 | 47.13% |
| bbd_여맹두 vs Paul | 48–33 | 59.26% |
| bbd_여맹두 vs Hwoarang | 36–31 | 53.73% |
| bbd_여맹두 vs Jin | 36–31 | 53.73% |
| bbd_여맹두 vs Reina | 35–29 | 54.69% |
| bbd_여맹두 vs Bryan | 32–30 | 51.61% |
| bbd_여맹두 vs King | 35–24 | 59.32% |
| bbd_여맹두 vs Devil Jin | 33–25 | 56.90% |
| bbd_여맹두 vs Victor | 27–25 | 51.92% |
| bbd_여맹두 vs Lili | 30–21 | 58.82% |
| bbd_여맹두 vs Asuka | 27–23 | 54.00% |
| bbd_여맹두 vs Azucena | 28–19 | 59.57% |
| bbd_여맹두 vs Law | 19–27 | 41.30% |
| bbd_여맹두 vs Steve | 20–24 | 45.45% |
| bbd_여맹두 vs Jun | 19–25 | 43.18% |
| bbd_여맹두 vs Claudio | 20–22 | 47.62% |
| bbd_여맹두 vs Yoshimitsu | 17–20 | 45.95% |
| bbd_여맹두 vs Feng | 17–20 | 45.95% |
| bbd_여맹두 vs Alisa | 16–16 | 50.00% |
| bbd_여맹두 vs Heihachi | 18–14 | 56.25% |
| bbd_여맹두 vs Lars | 18–13 | 58.06% |
| bbd_여맹두 vs Kuma | 14–14 | 50.00% |
| bbd_여맹두 vs Eddy | 12–15 | 44.44% |
| bbd_여맹두 vs Xiaoyu | 16–8 | 66.67% |
| bbd_여맹두 vs Shaheen | 12–12 | 50.00% |
| bbd_여맹두 vs Nina | 14–10 | 58.33% |
| bbd_여맹두 vs Leo | 15–8 | 65.22% |
| bbd_여맹두 vs Leroy | 11–12 | 47.83% |
| bbd_여맹두 vs Jack-8 | 15–7 | 68.18% |
| bbd_여맹두 vs Lidia | 11–11 | 50.00% |
| bbd_여맹두 vs Raven | 10–10 | 50.00% |
| bbd_여맹두 vs Lee | 7–12 | 36.84% |
| bbd_여맹두 vs Zafina | 11–5 | 68.75% |
| bbd_여맹두 vs Clive | 7–9 | 43.75% |
| bbd_여맹두 vs Panda | 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.