| SSWOOYA vs Kazuya | 139–135 | 50.73% |
| SSWOOYA vs Hwoarang | 120–140 | 46.15% |
| SSWOOYA vs Jin | 125–128 | 49.41% |
| SSWOOYA vs Dragunov | 113–126 | 47.28% |
| SSWOOYA vs Bryan | 102–119 | 46.15% |
| SSWOOYA vs Paul | 102–116 | 46.79% |
| SSWOOYA vs King | 77–139 | 35.65% |
| SSWOOYA vs Reina | 83–92 | 47.43% |
| SSWOOYA vs Asuka | 83–91 | 47.70% |
| SSWOOYA vs Yoshimitsu | 70–74 | 48.61% |
| SSWOOYA vs Steve | 68–73 | 48.23% |
| SSWOOYA vs Lili | 79–59 | 57.25% |
| SSWOOYA vs Victor | 36–74 | 32.73% |
| SSWOOYA vs Law | 41–68 | 37.61% |
| SSWOOYA vs Devil Jin | 43–61 | 41.35% |
| SSWOOYA vs Feng | 39–62 | 38.61% |
| SSWOOYA vs Nina | 46–50 | 47.92% |
| SSWOOYA vs Lee | 45–43 | 51.14% |
| SSWOOYA vs Jun | 41–47 | 46.59% |
| SSWOOYA vs Azucena | 52–35 | 59.77% |
| SSWOOYA vs Leo | 48–38 | 55.81% |
| SSWOOYA vs Alisa | 33–52 | 38.82% |
| SSWOOYA vs Heihachi | 38–46 | 45.24% |
| SSWOOYA vs Claudio | 36–43 | 45.57% |
| SSWOOYA vs Lars | 38–40 | 48.72% |
| SSWOOYA vs Leroy | 35–39 | 47.30% |
| SSWOOYA vs Xiaoyu | 38–35 | 52.05% |
| SSWOOYA vs Lidia | 44–28 | 61.11% |
| SSWOOYA vs Eddy | 31–40 | 43.66% |
| SSWOOYA vs Jack-8 | 29–34 | 46.03% |
| SSWOOYA vs Kuma | 26–37 | 41.27% |
| SSWOOYA vs Raven | 24–28 | 46.15% |
| SSWOOYA vs Clive | 11–34 | 24.44% |
| SSWOOYA vs Armor King | 16–24 | 40.00% |
| SSWOOYA vs Shaheen | 20–17 | 54.05% |
| SSWOOYA vs Zafina | 13–20 | 39.39% |
| SSWOOYA vs Fahkumram | 13–18 | 41.94% |
| SSWOOYA vs Anna | 8–13 | 38.10% |
| SSWOOYA vs Panda | 5–15 | 25.00% |
| SSWOOYA vs Miary Zo | 1–4 | 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.