| Garbanzaco vs Jin | 29–24 | 54.72% |
| Garbanzaco vs Eddy | 25–22 | 53.19% |
| Garbanzaco vs Hwoarang | 17–20 | 45.95% |
| Garbanzaco vs Kazuya | 16–17 | 48.48% |
| Garbanzaco vs King | 18–14 | 56.25% |
| Garbanzaco vs Bryan | 16–15 | 51.61% |
| Garbanzaco vs Steve | 11–19 | 36.67% |
| Garbanzaco vs Lili | 16–10 | 61.54% |
| Garbanzaco vs Reina | 11–12 | 47.83% |
| Garbanzaco vs Law | 12–8 | 60.00% |
| Garbanzaco vs Jun | 7–7 | 50.00% |
| Garbanzaco vs Azucena | 9–5 | 64.29% |
| Garbanzaco vs Victor | 7–7 | 50.00% |
| Garbanzaco vs Armor King | 8–6 | 57.14% |
| Garbanzaco vs Yoshimitsu | 5–8 | 38.46% |
| Garbanzaco vs Xiaoyu | 7–6 | 53.85% |
| Garbanzaco vs Devil Jin | 8–5 | 61.54% |
| Garbanzaco vs Nina | 9–4 | 69.23% |
| Garbanzaco vs Lee | 5–8 | 38.46% |
| Garbanzaco vs Feng | 8–3 | 72.73% |
| Garbanzaco vs Leo | 4–7 | 36.36% |
| Garbanzaco vs Miary Zo | 3–8 | 27.27% |
| Garbanzaco vs Paul | 6–4 | 60.00% |
| Garbanzaco vs Lars | 5–5 | 50.00% |
| Garbanzaco vs Dragunov | 3–6 | 33.33% |
| Garbanzaco vs Clive | 2–7 | 22.22% |
| Garbanzaco vs Heihachi | 5–3 | 62.50% |
| Garbanzaco vs Jack-8 | 2–5 | 28.57% |
| Garbanzaco vs Asuka | 1–6 | 14.29% |
| Garbanzaco vs Lidia | 3–4 | 42.86% |
| Garbanzaco vs Kuma | 1–5 | 16.67% |
| Garbanzaco vs Alisa | 0–4 | 0.00% |
| Garbanzaco vs Panda | 1–2 | 33.33% |
| Garbanzaco vs Zafina | 2–1 | 66.67% |
| Garbanzaco vs Anna | 1–2 | 33.33% |
| Garbanzaco vs Leroy | 1–1 | 50.00% |
| Garbanzaco vs Raven | 0–2 | 0.00% |
| Garbanzaco vs Claudio | 0–1 | 0.00% |
| Garbanzaco vs Shaheen | 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.