| A_mf3 vs Kazuya | 17–27 | 38.64% |
| A_mf3 vs Jin | 15–16 | 48.39% |
| A_mf3 vs King | 12–18 | 40.00% |
| A_mf3 vs Reina | 12–16 | 42.86% |
| A_mf3 vs Hwoarang | 7–19 | 26.92% |
| A_mf3 vs Law | 10–14 | 41.67% |
| A_mf3 vs Steve | 8–16 | 33.33% |
| A_mf3 vs Bryan | 6–15 | 28.57% |
| A_mf3 vs Nina | 12–9 | 57.14% |
| A_mf3 vs Jun | 10–11 | 47.62% |
| A_mf3 vs Heihachi | 10–10 | 50.00% |
| A_mf3 vs Yoshimitsu | 7–10 | 41.18% |
| A_mf3 vs Asuka | 5–9 | 35.71% |
| A_mf3 vs Eddy | 3–11 | 21.43% |
| A_mf3 vs Anna | 6–7 | 46.15% |
| A_mf3 vs Lili | 4–8 | 33.33% |
| A_mf3 vs Dragunov | 5–6 | 45.45% |
| A_mf3 vs Victor | 4–6 | 40.00% |
| A_mf3 vs Paul | 3–6 | 33.33% |
| A_mf3 vs Xiaoyu | 6–3 | 66.67% |
| A_mf3 vs Jack-8 | 5–4 | 55.56% |
| A_mf3 vs Devil Jin | 6–2 | 75.00% |
| A_mf3 vs Feng | 4–4 | 50.00% |
| A_mf3 vs Fahkumram | 1–7 | 12.50% |
| A_mf3 vs Zafina | 2–4 | 33.33% |
| A_mf3 vs Lidia | 4–2 | 66.67% |
| A_mf3 vs Lee | 1–4 | 20.00% |
| A_mf3 vs Azucena | 4–1 | 80.00% |
| A_mf3 vs Clive | 1–4 | 20.00% |
| A_mf3 vs Lars | 3–1 | 75.00% |
| A_mf3 vs Alisa | 2–2 | 50.00% |
| A_mf3 vs Shaheen | 0–4 | 0.00% |
| A_mf3 vs Leroy | 3–1 | 75.00% |
| A_mf3 vs Raven | 2–2 | 50.00% |
| A_mf3 vs Armor King | 2–2 | 50.00% |
| A_mf3 vs Kuma | 0–3 | 0.00% |
| A_mf3 vs Leo | 1–1 | 50.00% |
| A_mf3 vs Panda | 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.