| Acnologia vs Kazuya | 374–360 | 50.95% |
| Acnologia vs King | 258–312 | 45.26% |
| Acnologia vs Jin | 240–317 | 43.09% |
| Acnologia vs Bryan | 230–262 | 46.75% |
| Acnologia vs Heihachi | 221–222 | 49.89% |
| Acnologia vs Hwoarang | 172–211–1 | 44.91% |
| Acnologia vs Law | 172–192 | 47.25% |
| Acnologia vs Steve | 183–162 | 53.04% |
| Acnologia vs Devil Jin | 162–161 | 50.15% |
| Acnologia vs Reina | 145–167–1 | 46.47% |
| Acnologia vs Paul | 141–160 | 46.84% |
| Acnologia vs Dragunov | 116–178 | 39.46% |
| Acnologia vs Yoshimitsu | 136–145 | 48.40% |
| Acnologia vs Clive | 110–158 | 41.04% |
| Acnologia vs Lili | 123–119 | 50.83% |
| Acnologia vs Lee | 104–131 | 44.26% |
| Acnologia vs Armor King | 90–115 | 43.90% |
| Acnologia vs Nina | 110–89 | 55.28% |
| Acnologia vs Jun | 78–116 | 40.21% |
| Acnologia vs Feng | 77–116 | 39.90% |
| Acnologia vs Asuka | 97–90 | 51.87% |
| Acnologia vs Xiaoyu | 83–90 | 47.98% |
| Acnologia vs Eddy | 72–93 | 43.64% |
| Acnologia vs Azucena | 70–94 | 42.68% |
| Acnologia vs Victor | 95–63 | 60.13% |
| Acnologia vs Lars | 68–77 | 46.90% |
| Acnologia vs Fahkumram | 52–89 | 36.88% |
| Acnologia vs Jack-8 | 53–76 | 41.09% |
| Acnologia vs Alisa | 59–62 | 48.76% |
| Acnologia vs Claudio | 49–58 | 45.79% |
| Acnologia vs Anna | 43–63 | 40.57% |
| Acnologia vs Leroy | 42–63 | 40.00% |
| Acnologia vs Lidia | 48–57 | 45.71% |
| Acnologia vs Raven | 42–61 | 40.78% |
| Acnologia vs Leo | 37–39 | 48.68% |
| Acnologia vs Kuma | 30–40 | 42.86% |
| Acnologia vs Shaheen | 25–36 | 40.98% |
| Acnologia vs Zafina | 26–26 | 50.00% |
| Acnologia vs Miary Zo | 19–25 | 43.18% |
| Acnologia vs Panda | 20–21 | 48.78% |
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.