| ADRNVL vs Dragunov | 73–71 | 50.69% |
| ADRNVL vs Jin | 63–65 | 49.22% |
| ADRNVL vs Bryan | 62–58 | 51.67% |
| ADRNVL vs Hwoarang | 46–73 | 38.66% |
| ADRNVL vs Reina | 58–58 | 50.00% |
| ADRNVL vs King | 42–63 | 40.00% |
| ADRNVL vs Kazuya | 40–62 | 39.22% |
| ADRNVL vs Paul | 54–40 | 57.45% |
| ADRNVL vs Devil Jin | 40–39 | 50.63% |
| ADRNVL vs Yoshimitsu | 31–43 | 41.89% |
| ADRNVL vs Lars | 36–36 | 50.00% |
| ADRNVL vs Victor | 35–37 | 48.61% |
| ADRNVL vs Lee | 27–41 | 39.71% |
| ADRNVL vs Law | 27–40 | 40.30% |
| ADRNVL vs Lili | 30–34 | 46.88% |
| ADRNVL vs Asuka | 35–24 | 59.32% |
| ADRNVL vs Feng | 29–25 | 53.70% |
| ADRNVL vs Alisa | 29–25 | 53.70% |
| ADRNVL vs Leo | 26–27 | 49.06% |
| ADRNVL vs Nina | 21–31–1 | 40.38% |
| ADRNVL vs Jun | 22–30 | 42.31% |
| ADRNVL vs Azucena | 24–27 | 47.06% |
| ADRNVL vs Xiaoyu | 22–25 | 46.81% |
| ADRNVL vs Steve | 26–21 | 55.32% |
| ADRNVL vs Leroy | 23–23 | 50.00% |
| ADRNVL vs Jack-8 | 19–23 | 45.24% |
| ADRNVL vs Heihachi | 20–17 | 54.05% |
| ADRNVL vs Lidia | 20–13 | 60.61% |
| ADRNVL vs Claudio | 12–19 | 38.71% |
| ADRNVL vs Raven | 18–12 | 60.00% |
| ADRNVL vs Eddy | 14–14 | 50.00% |
| ADRNVL vs Clive | 10–14 | 41.67% |
| ADRNVL vs Kuma | 13–7 | 65.00% |
| ADRNVL vs Zafina | 11–9 | 55.00% |
| ADRNVL vs Shaheen | 6–11 | 35.29% |
| ADRNVL vs Panda | 7–9 | 43.75% |
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.