| SCARFACE vs Bryan | 447–506–1 | 46.90% |
| SCARFACE vs Dragunov | 461–471 | 49.46% |
| SCARFACE vs Hwoarang | 506–410 | 55.24% |
| SCARFACE vs Kazuya | 445–435 | 50.57% |
| SCARFACE vs Jin | 364–355 | 50.63% |
| SCARFACE vs Steve | 325–344 | 48.58% |
| SCARFACE vs Paul | 351–316 | 52.62% |
| SCARFACE vs Reina | 323–287 | 52.95% |
| SCARFACE vs King | 287–278 | 50.80% |
| SCARFACE vs Victor | 256–299 | 46.13% |
| SCARFACE vs Lili | 256–267 | 48.95% |
| SCARFACE vs Asuka | 250–272 | 47.89% |
| SCARFACE vs Yoshimitsu | 281–233 | 54.67% |
| SCARFACE vs Devil Jin | 229–276 | 45.35% |
| SCARFACE vs Jun | 247–254 | 49.30% |
| SCARFACE vs Jack-8 | 243–243 | 50.00% |
| SCARFACE vs Lee | 216–242 | 47.16% |
| SCARFACE vs Azucena | 225–230 | 49.45% |
| SCARFACE vs Law | 231–221 | 51.11% |
| SCARFACE vs Lars | 231–218 | 51.45% |
| SCARFACE vs Feng | 200–237 | 45.77% |
| SCARFACE vs Eddy | 178–215 | 45.29% |
| SCARFACE vs Claudio | 176–199 | 46.93% |
| SCARFACE vs Alisa | 157–202 | 43.73% |
| SCARFACE vs Leroy | 156–193 | 44.70% |
| SCARFACE vs Nina | 170–178 | 48.85% |
| SCARFACE vs Leo | 163–178 | 47.80% |
| SCARFACE vs Shaheen | 161–167 | 49.09% |
| SCARFACE vs Heihachi | 130–168 | 43.62% |
| SCARFACE vs Xiaoyu | 145–151 | 48.99% |
| SCARFACE vs Zafina | 116–135 | 46.22% |
| SCARFACE vs Raven | 85–133 | 38.99% |
| SCARFACE vs Lidia | 102–112 | 47.66% |
| SCARFACE vs Kuma | 66–114 | 36.67% |
| SCARFACE vs Clive | 62–90 | 40.79% |
| SCARFACE vs Anna | 62–72 | 46.27% |
| SCARFACE vs Panda | 41–61 | 40.20% |
| SCARFACE vs Fahkumram | 7–18 | 28.00% |
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.