| pimo_k2 vs Hwoarang | 649–569 | 53.28% |
| pimo_k2 vs Bryan | 603–543 | 52.62% |
| pimo_k2 vs Asuka | 537–525 | 50.56% |
| pimo_k2 vs Yoshimitsu | 474–510 | 48.17% |
| pimo_k2 vs Dragunov | 456–501 | 47.65% |
| pimo_k2 vs Kazuya | 496–446 | 52.65% |
| pimo_k2 vs King | 424–491 | 46.34% |
| pimo_k2 vs Xiaoyu | 448–419 | 51.67% |
| pimo_k2 vs Steve | 417–436 | 48.89% |
| pimo_k2 vs Paul | 381–384 | 49.80% |
| pimo_k2 vs Lili | 370–369 | 50.07% |
| pimo_k2 vs Feng | 349–386 | 47.48% |
| pimo_k2 vs Lars | 427–302 | 58.57% |
| pimo_k2 vs Jin | 340–356 | 48.85% |
| pimo_k2 vs Law | 369–309 | 54.42% |
| pimo_k2 vs Jack-8 | 344–280 | 55.13% |
| pimo_k2 vs Reina | 311–302 | 50.73% |
| pimo_k2 vs Nina | 276–284 | 49.29% |
| pimo_k2 vs Lee | 276–268 | 50.74% |
| pimo_k2 vs Devil Jin | 239–282 | 45.87% |
| pimo_k2 vs Eddy | 248–259 | 48.92% |
| pimo_k2 vs Victor | 226–260 | 46.50% |
| pimo_k2 vs Raven | 238–232 | 50.64% |
| pimo_k2 vs Azucena | 228–239–1 | 48.82% |
| pimo_k2 vs Claudio | 206–258 | 44.40% |
| pimo_k2 vs Leroy | 217–200 | 52.04% |
| pimo_k2 vs Jun | 179–217 | 45.20% |
| pimo_k2 vs Alisa | 189–200 | 48.59% |
| pimo_k2 vs Heihachi | 179–209 | 46.13% |
| pimo_k2 vs Shaheen | 181–176 | 50.70% |
| pimo_k2 vs Leo | 160–188 | 45.98% |
| pimo_k2 vs Zafina | 157–150 | 51.14% |
| pimo_k2 vs Lidia | 133–140 | 48.72% |
| pimo_k2 vs Anna | 128–139 | 47.94% |
| pimo_k2 vs Clive | 116–146 | 44.27% |
| pimo_k2 vs Kuma | 120–130 | 48.00% |
| pimo_k2 vs Fahkumram | 122–94 | 56.48% |
| pimo_k2 vs Armor King | 89–107 | 45.41% |
| pimo_k2 vs Panda | 74–85 | 46.54% |
| pimo_k2 vs Miary Zo | 35–52 | 40.23% |
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.