| macX vs King | 82–40 | 67.21% |
| macX vs Kazuya | 60–54 | 52.63% |
| macX vs Jin | 64–43 | 59.81% |
| macX vs Steve | 54–53 | 50.47% |
| macX vs Reina | 54–46 | 54.00% |
| macX vs Bryan | 38–56 | 40.43% |
| macX vs Dragunov | 43–36 | 54.43% |
| macX vs Hwoarang | 27–44 | 38.03% |
| macX vs Yoshimitsu | 36–31 | 53.73% |
| macX vs Lili | 27–37 | 42.19% |
| macX vs Lee | 26–34 | 43.33% |
| macX vs Law | 22–34 | 39.29% |
| macX vs Lars | 27–26 | 50.94% |
| macX vs Xiaoyu | 20–27 | 42.55% |
| macX vs Azucena | 21–25 | 45.65% |
| macX vs Paul | 17–27 | 38.64% |
| macX vs Asuka | 24–20 | 54.55% |
| macX vs Jack-8 | 18–25 | 41.86% |
| macX vs Jun | 24–18 | 57.14% |
| macX vs Victor | 22–19 | 53.66% |
| macX vs Eddy | 21–16 | 56.76% |
| macX vs Heihachi | 21–15 | 58.33% |
| macX vs Lidia | 19–15 | 55.88% |
| macX vs Feng | 14–17 | 45.16% |
| macX vs Leo | 19–11 | 63.33% |
| macX vs Clive | 5–25 | 16.67% |
| macX vs Raven | 15–12 | 55.56% |
| macX vs Alisa | 8–16 | 33.33% |
| macX vs Zafina | 9–14 | 39.13% |
| macX vs Devil Jin | 12–10 | 54.55% |
| macX vs Leroy | 10–11 | 47.62% |
| macX vs Kuma | 7–11 | 38.89% |
| macX vs Shaheen | 9–8 | 52.94% |
| macX vs Nina | 5–12 | 29.41% |
| macX vs Panda | 6–8 | 42.86% |
| macX vs Claudio | 7–5 | 58.33% |
| macX vs Armor King | 6–4 | 60.00% |
| macX vs Fahkumram | 3–5 | 37.50% |
| macX vs Miary Zo | 1–2 | 33.33% |
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.