| SUL_99 vs Kazuya | 768–807–1 | 48.76% |
| SUL_99 vs Jin | 705–680 | 50.90% |
| SUL_99 vs Heihachi | 660–648 | 50.46% |
| SUL_99 vs Bryan | 566–656 | 46.32% |
| SUL_99 vs King | 496–526 | 48.53% |
| SUL_99 vs Hwoarang | 462–379 | 54.93% |
| SUL_99 vs Dragunov | 423–413 | 50.60% |
| SUL_99 vs Steve | 457–371–1 | 55.19% |
| SUL_99 vs Yoshimitsu | 377–327 | 53.55% |
| SUL_99 vs Paul | 293–335 | 46.66% |
| SUL_99 vs Law | 268–286 | 48.38% |
| SUL_99 vs Lee | 281–248 | 53.12% |
| SUL_99 vs Devil Jin | 252–267 | 48.55% |
| SUL_99 vs Reina | 232–235 | 49.68% |
| SUL_99 vs Lili | 236–227 | 50.97% |
| SUL_99 vs Nina | 169–216 | 43.90% |
| SUL_99 vs Asuka | 142–221 | 39.12% |
| SUL_99 vs Lars | 165–192 | 46.22% |
| SUL_99 vs Armor King | 152–204 | 42.70% |
| SUL_99 vs Anna | 142–201 | 41.40% |
| SUL_99 vs Feng | 141–198 | 41.59% |
| SUL_99 vs Clive | 148–187 | 44.18% |
| SUL_99 vs Victor | 157–162 | 49.22% |
| SUL_99 vs Alisa | 138–158 | 46.62% |
| SUL_99 vs Jack-8 | 102–146 | 41.13% |
| SUL_99 vs Azucena | 107–139 | 43.50% |
| SUL_99 vs Jun | 105–138 | 43.21% |
| SUL_99 vs Xiaoyu | 96–141 | 40.51% |
| SUL_99 vs Claudio | 107–125 | 46.12% |
| SUL_99 vs Eddy | 112–111 | 50.22% |
| SUL_99 vs Leo | 84–125 | 40.19% |
| SUL_99 vs Lidia | 89–94 | 48.63% |
| SUL_99 vs Leroy | 66–99 | 40.00% |
| SUL_99 vs Fahkumram | 79–82 | 49.07% |
| SUL_99 vs Shaheen | 37–64 | 36.63% |
| SUL_99 vs Kuma | 37–62 | 37.37% |
| SUL_99 vs Raven | 24–64 | 27.27% |
| SUL_99 vs Zafina | 22–63 | 25.88% |
| SUL_99 vs Miary Zo | 17–33 | 34.00% |
| SUL_99 vs Panda | 2–8 | 20.00% |
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.