| pcpcal vs Kazuya | 456–377 | 54.74% |
| pcpcal vs Bryan | 376–341 | 52.44% |
| pcpcal vs Jin | 361–351 | 50.70% |
| pcpcal vs King | 369–293 | 55.74% |
| pcpcal vs Hwoarang | 324–263 | 55.20% |
| pcpcal vs Steve | 287–259 | 52.56% |
| pcpcal vs Reina | 261–271 | 49.06% |
| pcpcal vs Law | 289–231 | 55.58% |
| pcpcal vs Lee | 237–269 | 46.84% |
| pcpcal vs Clive | 182–287 | 38.81% |
| pcpcal vs Heihachi | 201–254 | 44.18% |
| pcpcal vs Paul | 219–219 | 50.00% |
| pcpcal vs Armor King | 188–233 | 44.66% |
| pcpcal vs Dragunov | 209–205 | 50.48% |
| pcpcal vs Lili | 212–170 | 55.50% |
| pcpcal vs Devil Jin | 149–223 | 40.05% |
| pcpcal vs Yoshimitsu | 175–195 | 47.30% |
| pcpcal vs Xiaoyu | 183–157 | 53.82% |
| pcpcal vs Azucena | 162–174 | 48.21% |
| pcpcal vs Nina | 178–152 | 53.94% |
| pcpcal vs Jun | 144–184 | 43.90% |
| pcpcal vs Anna | 137–156 | 46.76% |
| pcpcal vs Asuka | 153–130 | 54.06% |
| pcpcal vs Feng | 147–136 | 51.94% |
| pcpcal vs Lidia | 132–136 | 49.25% |
| pcpcal vs Lars | 138–126 | 52.27% |
| pcpcal vs Leo | 98–126 | 43.75% |
| pcpcal vs Leroy | 101–108 | 48.33% |
| pcpcal vs Raven | 91–110 | 45.27% |
| pcpcal vs Fahkumram | 62–119 | 34.25% |
| pcpcal vs Jack-8 | 69–106–1 | 39.43% |
| pcpcal vs Eddy | 94–82 | 53.41% |
| pcpcal vs Zafina | 75–92 | 44.91% |
| pcpcal vs Victor | 50–110 | 31.25% |
| pcpcal vs Alisa | 67–84 | 44.37% |
| pcpcal vs Claudio | 63–87 | 42.00% |
| pcpcal vs Miary Zo | 52–76 | 40.62% |
| pcpcal vs Kuma | 37–84 | 30.58% |
| pcpcal vs Shaheen | 51–65 | 43.97% |
| pcpcal vs Panda | 27–27 | 50.00% |
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.