| decoy vs Kazuya | 531–619 | 46.17% |
| decoy vs Bryan | 487–592 | 45.13% |
| decoy vs Reina | 507–541 | 48.38% |
| decoy vs Dragunov | 449–575 | 43.85% |
| decoy vs Paul | 434–505 | 46.22% |
| decoy vs King | 398–519 | 43.40% |
| decoy vs Hwoarang | 377–493 | 43.33% |
| decoy vs Asuka | 374–474 | 44.10% |
| decoy vs Lili | 422–404 | 51.09% |
| decoy vs Jin | 348–474 | 42.34% |
| decoy vs Steve | 337–323 | 51.06% |
| decoy vs Heihachi | 269–351 | 43.39% |
| decoy vs Law | 277–335 | 45.26% |
| decoy vs Jun | 279–271 | 50.73% |
| decoy vs Nina | 258–280 | 47.96% |
| decoy vs Xiaoyu | 256–269 | 48.76% |
| decoy vs Yoshimitsu | 267–257 | 50.95% |
| decoy vs Azucena | 251–266 | 48.55% |
| decoy vs Lidia | 219–276 | 44.24% |
| decoy vs Fahkumram | 226–252 | 47.28% |
| decoy vs Victor | 185–277 | 40.04% |
| decoy vs Alisa | 196–241 | 44.85% |
| decoy vs Lars | 178–247–1 | 41.88% |
| decoy vs Claudio | 194–228 | 45.97% |
| decoy vs Devil Jin | 170–239 | 41.56% |
| decoy vs Lee | 181–204 | 47.01% |
| decoy vs Feng | 159–224 | 41.51% |
| decoy vs Leo | 180–177 | 50.42% |
| decoy vs Armor King | 146–182 | 44.51% |
| decoy vs Jack-8 | 134–193 | 40.98% |
| decoy vs Eddy | 131–185 | 41.46% |
| decoy vs Leroy | 117–191 | 37.99% |
| decoy vs Miary Zo | 137–164 | 45.51% |
| decoy vs Zafina | 118–145 | 44.87% |
| decoy vs Anna | 111–135 | 45.12% |
| decoy vs Shaheen | 129–116 | 52.65% |
| decoy vs Clive | 89–149 | 37.39% |
| decoy vs Raven | 77–122 | 38.69% |
| decoy vs Kuma | 89–104 | 46.11% |
| decoy vs Panda | 49–73 | 40.16% |
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.