| A7MD_FH vs Jin | 38–47–1 | 44.71% |
| A7MD_FH vs Bryan | 20–46 | 30.30% |
| A7MD_FH vs Kazuya | 22–43 | 33.85% |
| A7MD_FH vs King | 16–48 | 25.00% |
| A7MD_FH vs Steve | 24–29 | 45.28% |
| A7MD_FH vs Reina | 21–28 | 42.86% |
| A7MD_FH vs Law | 19–24 | 44.19% |
| A7MD_FH vs Hwoarang | 16–27 | 37.21% |
| A7MD_FH vs Victor | 15–24 | 38.46% |
| A7MD_FH vs Dragunov | 18–14 | 56.25% |
| A7MD_FH vs Eddy | 13–15 | 46.43% |
| A7MD_FH vs Yoshimitsu | 6–20 | 23.08% |
| A7MD_FH vs Devil Jin | 8–16 | 33.33% |
| A7MD_FH vs Jack-8 | 11–9 | 55.00% |
| A7MD_FH vs Paul | 5–13 | 27.78% |
| A7MD_FH vs Nina | 10–7 | 58.82% |
| A7MD_FH vs Jun | 7–9 | 43.75% |
| A7MD_FH vs Azucena | 4–12 | 25.00% |
| A7MD_FH vs Feng | 4–10 | 28.57% |
| A7MD_FH vs Asuka | 4–9 | 30.77% |
| A7MD_FH vs Lili | 5–7 | 41.67% |
| A7MD_FH vs Lee | 7–4 | 63.64% |
| A7MD_FH vs Kuma | 3–7 | 30.00% |
| A7MD_FH vs Lidia | 4–6 | 40.00% |
| A7MD_FH vs Anna | 6–4 | 60.00% |
| A7MD_FH vs Xiaoyu | 3–5 | 37.50% |
| A7MD_FH vs Leo | 6–2 | 75.00% |
| A7MD_FH vs Lars | 1–6 | 14.29% |
| A7MD_FH vs Shaheen | 2–5 | 28.57% |
| A7MD_FH vs Raven | 0–5 | 0.00% |
| A7MD_FH vs Alisa | 0–4 | 0.00% |
| A7MD_FH vs Clive | 1–3 | 25.00% |
| A7MD_FH vs Claudio | 2–1 | 66.67% |
| A7MD_FH vs Zafina | 1–2 | 33.33% |
| A7MD_FH vs Panda | 1–0 | 100.00% |
| A7MD_FH vs Leroy | 0–1 | 0.00% |
| A7MD_FH vs Heihachi | 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.