| jorge amado vs Armor King | 44–52 | 45.83% |
| jorge amado vs King | 23–50 | 31.51% |
| jorge amado vs Jin | 34–31 | 52.31% |
| jorge amado vs Steve | 24–22 | 52.17% |
| jorge amado vs Kazuya | 27–16 | 62.79% |
| jorge amado vs Dragunov | 18–19 | 48.65% |
| jorge amado vs Eddy | 13–22 | 37.14% |
| jorge amado vs Bryan | 12–16 | 42.86% |
| jorge amado vs Reina | 10–17 | 37.04% |
| jorge amado vs Victor | 15–11 | 57.69% |
| jorge amado vs Hwoarang | 17–8 | 68.00% |
| jorge amado vs Law | 12–12 | 50.00% |
| jorge amado vs Azucena | 15–9 | 62.50% |
| jorge amado vs Lee | 7–10 | 41.18% |
| jorge amado vs Heihachi | 7–9 | 43.75% |
| jorge amado vs Devil Jin | 6–9 | 40.00% |
| jorge amado vs Jun | 7–7 | 50.00% |
| jorge amado vs Lili | 7–6 | 53.85% |
| jorge amado vs Paul | 4–8 | 33.33% |
| jorge amado vs Asuka | 7–4 | 63.64% |
| jorge amado vs Alisa | 2–9 | 18.18% |
| jorge amado vs Miary Zo | 4–7 | 36.36% |
| jorge amado vs Yoshimitsu | 3–7 | 30.00% |
| jorge amado vs Xiaoyu | 3–6 | 33.33% |
| jorge amado vs Lidia | 4–5 | 44.44% |
| jorge amado vs Fahkumram | 4–5 | 44.44% |
| jorge amado vs Feng | 3–3 | 50.00% |
| jorge amado vs Claudio | 3–2 | 60.00% |
| jorge amado vs Kuma | 4–1 | 80.00% |
| jorge amado vs Raven | 3–2 | 60.00% |
| jorge amado vs Lars | 1–3 | 25.00% |
| jorge amado vs Zafina | 2–2 | 50.00% |
| jorge amado vs Clive | 2–1 | 66.67% |
| jorge amado vs Anna | 1–2 | 33.33% |
| jorge amado vs Jack-8 | 1–1 | 50.00% |
| jorge amado vs Leo | 0–2 | 0.00% |
| jorge amado vs Nina | 0–2 | 0.00% |
| jorge amado vs Panda | 1–0 | 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.