| A4ernar vs Kazuya | 214–269 | 44.31% |
| A4ernar vs Jin | 165–236 | 41.15% |
| A4ernar vs King | 166–169 | 49.55% |
| A4ernar vs Heihachi | 179–154 | 53.75% |
| A4ernar vs Bryan | 164–159 | 50.77% |
| A4ernar vs Reina | 140–137 | 50.54% |
| A4ernar vs Hwoarang | 128–124 | 50.79% |
| A4ernar vs Dragunov | 124–127 | 49.40% |
| A4ernar vs Steve | 107–115 | 48.20% |
| A4ernar vs Paul | 101–120 | 45.70% |
| A4ernar vs Devil Jin | 116–75 | 60.73% |
| A4ernar vs Yoshimitsu | 79–110 | 41.80% |
| A4ernar vs Law | 85–94 | 47.49% |
| A4ernar vs Armor King | 80–99 | 44.69% |
| A4ernar vs Lili | 73–92 | 44.24% |
| A4ernar vs Asuka | 78–63 | 55.32% |
| A4ernar vs Lee | 59–67 | 46.83% |
| A4ernar vs Azucena | 69–54 | 56.10% |
| A4ernar vs Jun | 60–60 | 50.00% |
| A4ernar vs Lars | 57–55 | 50.89% |
| A4ernar vs Alisa | 44–64 | 40.74% |
| A4ernar vs Nina | 52–55 | 48.60% |
| A4ernar vs Lidia | 53–41 | 56.38% |
| A4ernar vs Jack-8 | 31–52 | 37.35% |
| A4ernar vs Feng | 34–44 | 43.59% |
| A4ernar vs Eddy | 25–49 | 33.78% |
| A4ernar vs Leo | 41–30 | 57.75% |
| A4ernar vs Victor | 36–33 | 52.17% |
| A4ernar vs Anna | 31–32 | 49.21% |
| A4ernar vs Fahkumram | 18–45 | 28.57% |
| A4ernar vs Xiaoyu | 28–34 | 45.16% |
| A4ernar vs Claudio | 22–38 | 36.67% |
| A4ernar vs Leroy | 24–34 | 41.38% |
| A4ernar vs Miary Zo | 31–25 | 55.36% |
| A4ernar vs Raven | 16–29 | 35.56% |
| A4ernar vs Clive | 20–25 | 44.44% |
| A4ernar vs Shaheen | 12–18 | 40.00% |
| A4ernar vs Zafina | 14–15 | 48.28% |
| A4ernar vs Kuma | 3–24 | 11.11% |
| A4ernar vs Panda | 2–6 | 25.00% |
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.