| MACM89 vs Jin | 143–131 | 52.19% |
| MACM89 vs King | 113–103 | 52.31% |
| MACM89 vs Reina | 122–89 | 57.82% |
| MACM89 vs Kazuya | 98–108 | 47.57% |
| MACM89 vs Steve | 102–84 | 54.84% |
| MACM89 vs Eddy | 83–101 | 45.11% |
| MACM89 vs Dragunov | 77–89 | 46.39% |
| MACM89 vs Heihachi | 40–69 | 36.70% |
| MACM89 vs Bryan | 44–63 | 41.12% |
| MACM89 vs Asuka | 58–49 | 54.21% |
| MACM89 vs Law | 50–54 | 48.08% |
| MACM89 vs Hwoarang | 52–45 | 53.61% |
| MACM89 vs Lee | 61–34 | 64.21% |
| MACM89 vs Azucena | 43–47 | 47.78% |
| MACM89 vs Lili | 40–40 | 50.00% |
| MACM89 vs Devil Jin | 41–32 | 56.16% |
| MACM89 vs Paul | 30–40 | 42.86% |
| MACM89 vs Nina | 40–30 | 57.14% |
| MACM89 vs Jun | 28–42 | 40.00% |
| MACM89 vs Xiaoyu | 37–28 | 56.92% |
| MACM89 vs Victor | 26–39 | 40.00% |
| MACM89 vs Yoshimitsu | 23–38 | 37.70% |
| MACM89 vs Lars | 23–31 | 42.59% |
| MACM89 vs Feng | 27–26 | 50.94% |
| MACM89 vs Lidia | 30–22 | 57.69% |
| MACM89 vs Clive | 25–26 | 49.02% |
| MACM89 vs Fahkumram | 26–17 | 60.47% |
| MACM89 vs Alisa | 13–29 | 30.95% |
| MACM89 vs Claudio | 18–22 | 45.00% |
| MACM89 vs Leroy | 16–24 | 40.00% |
| MACM89 vs Jack-8 | 22–17 | 56.41% |
| MACM89 vs Leo | 19–17 | 52.78% |
| MACM89 vs Raven | 8–22 | 26.67% |
| MACM89 vs Zafina | 10–13 | 43.48% |
| MACM89 vs Shaheen | 11–8 | 57.89% |
| MACM89 vs Kuma | 9–8 | 52.94% |
| MACM89 vs Armor King | 3–14 | 17.65% |
| MACM89 vs Miary Zo | 9–7 | 56.25% |
| MACM89 vs Panda | 3–8 | 27.27% |
| MACM89 vs Anna | 4–3 | 57.14% |
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.