| Grão-de-bico vs Reina | 19–7 | 73.08% |
| Grão-de-bico vs Heihachi | 14–11 | 56.00% |
| Grão-de-bico vs Kazuya | 15–6 | 71.43% |
| Grão-de-bico vs Lili | 16–5 | 76.19% |
| Grão-de-bico vs Law | 13–2 | 86.67% |
| Grão-de-bico vs King | 12–2 | 85.71% |
| Grão-de-bico vs Bryan | 10–4 | 71.43% |
| Grão-de-bico vs Jun | 6–7 | 46.15% |
| Grão-de-bico vs Eddy | 10–3 | 76.92% |
| Grão-de-bico vs Jin | 11–0 | 100.00% |
| Grão-de-bico vs Dragunov | 10–0 | 100.00% |
| Grão-de-bico vs Raven | 6–4 | 60.00% |
| Grão-de-bico vs Steve | 7–2 | 77.78% |
| Grão-de-bico vs Asuka | 9–0 | 100.00% |
| Grão-de-bico vs Azucena | 6–3 | 66.67% |
| Grão-de-bico vs Xiaoyu | 5–3 | 62.50% |
| Grão-de-bico vs Yoshimitsu | 6–1 | 85.71% |
| Grão-de-bico vs Lidia | 3–3 | 50.00% |
| Grão-de-bico vs Paul | 4–1 | 80.00% |
| Grão-de-bico vs Jack-8 | 1–4 | 20.00% |
| Grão-de-bico vs Nina | 5–0 | 100.00% |
| Grão-de-bico vs Leroy | 4–1 | 80.00% |
| Grão-de-bico vs Hwoarang | 4–0 | 100.00% |
| Grão-de-bico vs Claudio | 0–3 | 0.00% |
| Grão-de-bico vs Kuma | 1–2 | 33.33% |
| Grão-de-bico vs Leo | 2–0 | 100.00% |
| Grão-de-bico vs Lars | 0–2 | 0.00% |
| Grão-de-bico vs Shaheen | 2–0 | 100.00% |
| Grão-de-bico vs Lee | 2–0 | 100.00% |
| Grão-de-bico vs Zafina | 2–0 | 100.00% |
| Grão-de-bico vs Devil Jin | 0–1 | 0.00% |
| Grão-de-bico vs Feng | 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.