| SsavvsS vs Kazuya | 215–120 | 64.18% |
| SsavvsS vs Jin | 178–123 | 59.14% |
| SsavvsS vs Dragunov | 151–103 | 59.45% |
| SsavvsS vs Bryan | 167–75 | 69.01% |
| SsavvsS vs Hwoarang | 122–102 | 54.46% |
| SsavvsS vs King | 113–88 | 56.22% |
| SsavvsS vs Heihachi | 98–97 | 50.26% |
| SsavvsS vs Paul | 125–51 | 71.02% |
| SsavvsS vs Steve | 106–61 | 63.47% |
| SsavvsS vs Law | 93–69 | 57.41% |
| SsavvsS vs Lee | 86–74 | 53.75% |
| SsavvsS vs Yoshimitsu | 110–43 | 71.90% |
| SsavvsS vs Reina | 67–79 | 45.89% |
| SsavvsS vs Feng | 89–56 | 61.38% |
| SsavvsS vs Lars | 82–57 | 58.99% |
| SsavvsS vs Devil Jin | 82–54 | 60.29% |
| SsavvsS vs Lili | 58–45 | 56.31% |
| SsavvsS vs Victor | 48–54 | 47.06% |
| SsavvsS vs Jun | 58–42 | 58.00% |
| SsavvsS vs Azucena | 61–39 | 61.00% |
| SsavvsS vs Eddy | 60–36 | 62.50% |
| SsavvsS vs Leroy | 55–40 | 57.89% |
| SsavvsS vs Asuka | 60–30 | 66.67% |
| SsavvsS vs Claudio | 55–33 | 62.50% |
| SsavvsS vs Nina | 40–48 | 45.45% |
| SsavvsS vs Xiaoyu | 41–39 | 51.25% |
| SsavvsS vs Alisa | 40–38 | 51.28% |
| SsavvsS vs Raven | 45–32 | 58.44% |
| SsavvsS vs Zafina | 31–42 | 42.47% |
| SsavvsS vs Jack-8 | 37–34 | 52.11% |
| SsavvsS vs Leo | 36–33 | 52.17% |
| SsavvsS vs Fahkumram | 37–29 | 56.06% |
| SsavvsS vs Anna | 25–28 | 47.17% |
| SsavvsS vs Shaheen | 25–27 | 48.08% |
| SsavvsS vs Lidia | 23–24 | 48.94% |
| SsavvsS vs Kuma | 15–23 | 39.47% |
| SsavvsS vs Panda | 11–14 | 44.00% |
| SsavvsS vs Clive | 9–10 | 47.37% |
| SsavvsS vs Armor King | 10–9 | 52.63% |
| SsavvsS vs Miary Zo | 9–9 | 50.00% |
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.