| ADHXM7 vs Kazuya | 117–131 | 47.18% |
| ADHXM7 vs Jin | 113–132–1 | 46.12% |
| ADHXM7 vs Bryan | 86–92 | 48.31% |
| ADHXM7 vs King | 78–94 | 45.35% |
| ADHXM7 vs Armor King | 70–99 | 41.42% |
| ADHXM7 vs Law | 79–84 | 48.47% |
| ADHXM7 vs Steve | 73–69 | 51.41% |
| ADHXM7 vs Hwoarang | 67–63 | 51.54% |
| ADHXM7 vs Heihachi | 51–72 | 41.46% |
| ADHXM7 vs Paul | 50–63 | 44.25% |
| ADHXM7 vs Eddy | 58–49 | 54.21% |
| ADHXM7 vs Dragunov | 35–66 | 34.65% |
| ADHXM7 vs Reina | 50–49 | 50.51% |
| ADHXM7 vs Lili | 33–57–2 | 36.67% |
| ADHXM7 vs Fahkumram | 51–41 | 55.43% |
| ADHXM7 vs Yoshimitsu | 30–44 | 40.54% |
| ADHXM7 vs Lee | 31–40 | 43.66% |
| ADHXM7 vs Jun | 31–34 | 47.69% |
| ADHXM7 vs Anna | 29–35 | 45.31% |
| ADHXM7 vs Asuka | 21–31 | 40.38% |
| ADHXM7 vs Devil Jin | 24–27 | 47.06% |
| ADHXM7 vs Alisa | 25–24 | 51.02% |
| ADHXM7 vs Nina | 18–28 | 39.13% |
| ADHXM7 vs Miary Zo | 20–24 | 45.45% |
| ADHXM7 vs Feng | 13–30 | 30.23% |
| ADHXM7 vs Azucena | 18–25 | 41.86% |
| ADHXM7 vs Xiaoyu | 18–24 | 42.86% |
| ADHXM7 vs Lidia | 22–19 | 53.66% |
| ADHXM7 vs Lars | 18–21 | 46.15% |
| ADHXM7 vs Victor | 20–19 | 51.28% |
| ADHXM7 vs Clive | 16–19 | 45.71% |
| ADHXM7 vs Claudio | 10–19 | 34.48% |
| ADHXM7 vs Jack-8 | 14–11 | 56.00% |
| ADHXM7 vs Leroy | 11–14 | 44.00% |
| ADHXM7 vs Raven | 12–13 | 48.00% |
| ADHXM7 vs Leo | 10–12 | 45.45% |
| ADHXM7 vs Zafina | 10–12 | 45.45% |
| ADHXM7 vs Kuma | 6–15 | 28.57% |
| ADHXM7 vs Shaheen | 4–13 | 23.53% |
| ADHXM7 vs Panda | 6–7 | 46.15% |
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.