| O-U-KET vs Jin | 615–619 | 49.84% |
| O-U-KET vs Kazuya | 603–492 | 55.07% |
| O-U-KET vs King | 557–525 | 51.48% |
| O-U-KET vs Hwoarang | 571–506–1 | 53.02% |
| O-U-KET vs Bryan | 575–480 | 54.50% |
| O-U-KET vs Steve | 451–503 | 47.27% |
| O-U-KET vs Law | 447–449 | 49.89% |
| O-U-KET vs Reina | 408–432 | 48.57% |
| O-U-KET vs Lars | 423–379 | 52.74% |
| O-U-KET vs Heihachi | 355–372 | 48.83% |
| O-U-KET vs Lee | 352–351 | 50.07% |
| O-U-KET vs Paul | 355–344 | 50.79% |
| O-U-KET vs Yoshimitsu | 393–301 | 56.63% |
| O-U-KET vs Dragunov | 296–356 | 45.40% |
| O-U-KET vs Lili | 309–295–1 | 51.16% |
| O-U-KET vs Devil Jin | 243–337 | 41.90% |
| O-U-KET vs Azucena | 264–307 | 46.23% |
| O-U-KET vs Feng | 293–271 | 51.95% |
| O-U-KET vs Raven | 285–274 | 50.98% |
| O-U-KET vs Lidia | 262–291 | 47.38% |
| O-U-KET vs Jun | 274–259 | 51.41% |
| O-U-KET vs Victor | 222–291 | 43.27% |
| O-U-KET vs Nina | 263–243 | 51.98% |
| O-U-KET vs Asuka | 270–205–1 | 56.84% |
| O-U-KET vs Xiaoyu | 217–251 | 46.37% |
| O-U-KET vs Leo | 225–234 | 49.02% |
| O-U-KET vs Eddy | 208–233 | 47.17% |
| O-U-KET vs Alisa | 192–224 | 46.15% |
| O-U-KET vs Jack-8 | 165–243 | 40.44% |
| O-U-KET vs Claudio | 168–187 | 47.32% |
| O-U-KET vs Leroy | 169–179 | 48.56% |
| O-U-KET vs Armor King | 161–183 | 46.80% |
| O-U-KET vs Shaheen | 126–158 | 44.37% |
| O-U-KET vs Clive | 144–134 | 51.80% |
| O-U-KET vs Zafina | 135–134–1 | 50.19% |
| O-U-KET vs Anna | 105–130 | 44.68% |
| O-U-KET vs Kuma | 93–135 | 40.79% |
| O-U-KET vs Fahkumram | 73–93 | 43.98% |
| O-U-KET vs Panda | 43–70 | 38.05% |
| O-U-KET vs Miary Zo | 35–51 | 40.70% |
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.