| Bandolero vs Reina | 35–48 | 42.17% |
| Bandolero vs King | 32–48 | 40.00% |
| Bandolero vs Jin | 26–38 | 40.62% |
| Bandolero vs Steve | 23–32 | 41.82% |
| Bandolero vs Clive | 12–43 | 21.82% |
| Bandolero vs Hwoarang | 16–29 | 35.56% |
| Bandolero vs Kazuya | 9–33 | 21.43% |
| Bandolero vs Lili | 19–15 | 55.88% |
| Bandolero vs Law | 13–16 | 44.83% |
| Bandolero vs Lidia | 10–15 | 40.00% |
| Bandolero vs Paul | 11–13 | 45.83% |
| Bandolero vs Asuka | 8–16 | 33.33% |
| Bandolero vs Dragunov | 5–19 | 20.83% |
| Bandolero vs Bryan | 7–16 | 30.43% |
| Bandolero vs Jun | 8–15 | 34.78% |
| Bandolero vs Heihachi | 8–15 | 34.78% |
| Bandolero vs Azucena | 9–11 | 45.00% |
| Bandolero vs Jack-8 | 9–10 | 47.37% |
| Bandolero vs Yoshimitsu | 8–10 | 44.44% |
| Bandolero vs Nina | 7–11 | 38.89% |
| Bandolero vs Eddy | 2–16 | 11.11% |
| Bandolero vs Lars | 6–9 | 40.00% |
| Bandolero vs Lee | 2–13 | 13.33% |
| Bandolero vs Claudio | 2–11 | 15.38% |
| Bandolero vs Victor | 1–12 | 7.69% |
| Bandolero vs Devil Jin | 1–10 | 9.09% |
| Bandolero vs Kuma | 4–7 | 36.36% |
| Bandolero vs Leroy | 6–5 | 54.55% |
| Bandolero vs Xiaoyu | 2–8 | 20.00% |
| Bandolero vs Feng | 2–8 | 20.00% |
| Bandolero vs Leo | 3–6 | 33.33% |
| Bandolero vs Alisa | 3–4 | 42.86% |
| Bandolero vs Shaheen | 0–4 | 0.00% |
| Bandolero vs Panda | 1–2 | 33.33% |
| Bandolero vs Raven | 1–1 | 50.00% |
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.