| AFU679 vs King | 0–5 | 0.00% |
| AFU679 vs Hwoarang | 3–2 | 60.00% |
| AFU679 vs Azucena | 0–5 | 0.00% |
| AFU679 vs Bryan | 1–3 | 25.00% |
| AFU679 vs Clive | 3–1 | 75.00% |
| AFU679 vs Paul | 0–3 | 0.00% |
| AFU679 vs Steve | 3–0 | 100.00% |
| AFU679 vs Feng | 2–1 | 66.67% |
| AFU679 vs Armor King | 0–3 | 0.00% |
| AFU679 vs Yoshimitsu | 0–2 | 0.00% |
| AFU679 vs Lili | 2–0 | 100.00% |
| AFU679 vs Shaheen | 2–0 | 100.00% |
| AFU679 vs Lee | 1–1 | 50.00% |
| AFU679 vs Reina | 2–0 | 100.00% |
| AFU679 vs Eddy | 2–0 | 100.00% |
| AFU679 vs Law | 0–1 | 0.00% |
| AFU679 vs Kazuya | 0–1 | 0.00% |
| AFU679 vs Asuka | 0–1 | 0.00% |
| AFU679 vs Nina | 1–0 | 100.00% |
| AFU679 vs Fahkumram | 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.