| maco704 vs Devil Jin | 2–4 | 33.33% |
| maco704 vs Alisa | 1–5 | 16.67% |
| maco704 vs Paul | 2–3 | 40.00% |
| maco704 vs Xiaoyu | 1–4 | 20.00% |
| maco704 vs Lars | 0–5 | 0.00% |
| maco704 vs Yoshimitsu | 2–2 | 50.00% |
| maco704 vs Jin | 0–4 | 0.00% |
| maco704 vs Dragunov | 0–4 | 0.00% |
| maco704 vs Reina | 3–1 | 75.00% |
| maco704 vs Anna | 1–3 | 25.00% |
| maco704 vs Fahkumram | 0–4 | 0.00% |
| maco704 vs Kazuya | 2–1 | 66.67% |
| maco704 vs Lili | 2–1 | 66.67% |
| maco704 vs Law | 0–2 | 0.00% |
| maco704 vs Hwoarang | 0–2 | 0.00% |
| maco704 vs Claudio | 0–2 | 0.00% |
| maco704 vs Jun | 0–2 | 0.00% |
| maco704 vs Azucena | 2–0 | 100.00% |
| maco704 vs Eddy | 0–2 | 0.00% |
| maco704 vs Armor King | 0–2 | 0.00% |
| maco704 vs Miary Zo | 0–2 | 0.00% |
| maco704 vs Panda | 0–1 | 0.00% |
| maco704 vs Clive | 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.