| Sakaca vs Hwoarang | 556–481 | 53.62% |
| Sakaca vs Kazuya | 592–433 | 57.76% |
| Sakaca vs Jin | 547–475–1 | 53.52% |
| Sakaca vs Bryan | 502–503–1 | 49.95% |
| Sakaca vs King | 418–457 | 47.77% |
| Sakaca vs Lee | 368–381 | 49.13% |
| Sakaca vs Dragunov | 354–359 | 49.65% |
| Sakaca vs Steve | 358–350 | 50.56% |
| Sakaca vs Law | 331–354–1 | 48.32% |
| Sakaca vs Paul | 361–324 | 52.70% |
| Sakaca vs Yoshimitsu | 300–336 | 47.17% |
| Sakaca vs Feng | 311–317 | 49.52% |
| Sakaca vs Lars | 281–344 | 44.96% |
| Sakaca vs Devil Jin | 327–283 | 53.61% |
| Sakaca vs Lili | 285–325 | 46.72% |
| Sakaca vs Reina | 317–284 | 52.75% |
| Sakaca vs Heihachi | 308–220 | 58.33% |
| Sakaca vs Claudio | 262–244 | 51.78% |
| Sakaca vs Xiaoyu | 220–272 | 44.72% |
| Sakaca vs Jun | 248–242 | 50.61% |
| Sakaca vs Alisa | 219–235 | 48.24% |
| Sakaca vs Asuka | 210–221 | 48.72% |
| Sakaca vs Nina | 171–234 | 42.22% |
| Sakaca vs Azucena | 205–200 | 50.62% |
| Sakaca vs Victor | 225–171 | 56.82% |
| Sakaca vs Zafina | 175–217 | 44.64% |
| Sakaca vs Raven | 172–215 | 44.44% |
| Sakaca vs Lidia | 205–151 | 57.58% |
| Sakaca vs Leo | 153–186 | 45.13% |
| Sakaca vs Eddy | 158–162 | 49.38% |
| Sakaca vs Jack-8 | 172–143 | 54.60% |
| Sakaca vs Leroy | 124–162 | 43.36% |
| Sakaca vs Kuma | 136–133 | 50.56% |
| Sakaca vs Shaheen | 125–140 | 47.17% |
| Sakaca vs Clive | 120–113 | 51.50% |
| Sakaca vs Anna | 94–77 | 54.97% |
| Sakaca vs Panda | 33–32 | 50.77% |
| Sakaca vs Fahkumram | 16–17 | 48.48% |
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.