| AD_032 vs Kazuya | 691–586 | 54.11% |
| AD_032 vs Jin | 577–544 | 51.47% |
| AD_032 vs Hwoarang | 476–404 | 54.09% |
| AD_032 vs Bryan | 421–363 | 53.70% |
| AD_032 vs King | 421–350 | 54.60% |
| AD_032 vs Paul | 357–334 | 51.66% |
| AD_032 vs Law | 345–312 | 52.51% |
| AD_032 vs Steve | 316–336–1 | 48.47% |
| AD_032 vs Heihachi | 361–289 | 55.54% |
| AD_032 vs Dragunov | 270–333 | 44.78% |
| AD_032 vs Devil Jin | 267–265 | 50.19% |
| AD_032 vs Reina | 245–249 | 49.60% |
| AD_032 vs Lars | 181–255 | 41.51% |
| AD_032 vs Yoshimitsu | 193–216 | 47.19% |
| AD_032 vs Lili | 187–207 | 47.46% |
| AD_032 vs Lee | 158–207 | 43.29% |
| AD_032 vs Armor King | 162–198 | 45.00% |
| AD_032 vs Feng | 165–172 | 48.96% |
| AD_032 vs Asuka | 129–176 | 42.30% |
| AD_032 vs Azucena | 153–123 | 55.43% |
| AD_032 vs Nina | 125–149 | 45.62% |
| AD_032 vs Fahkumram | 141–132 | 51.65% |
| AD_032 vs Eddy | 115–145 | 44.23% |
| AD_032 vs Xiaoyu | 101–156 | 39.30% |
| AD_032 vs Jack-8 | 119–136 | 46.67% |
| AD_032 vs Jun | 113–126 | 47.28% |
| AD_032 vs Alisa | 110–123 | 47.21% |
| AD_032 vs Victor | 120–104 | 53.57% |
| AD_032 vs Clive | 87–119 | 42.23% |
| AD_032 vs Anna | 92–109 | 45.77% |
| AD_032 vs Leroy | 104–94 | 52.53% |
| AD_032 vs Raven | 85–109 | 43.81% |
| AD_032 vs Leo | 89–97 | 47.85% |
| AD_032 vs Claudio | 78–90 | 46.43% |
| AD_032 vs Lidia | 68–99 | 40.72% |
| AD_032 vs Shaheen | 73–80 | 47.71% |
| AD_032 vs Zafina | 49–70 | 41.18% |
| AD_032 vs Kuma | 41–66 | 38.32% |
| AD_032 vs Miary Zo | 35–41 | 46.05% |
| AD_032 vs Panda | 25–34 | 42.37% |
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.