| sstvenn vs Jin | 112–116 | 49.12% |
| sstvenn vs King | 107–116 | 47.98% |
| sstvenn vs Kazuya | 99–100 | 49.75% |
| sstvenn vs Law | 102–80 | 56.04% |
| sstvenn vs Bryan | 90–78 | 53.57% |
| sstvenn vs Reina | 78–88 | 46.99% |
| sstvenn vs Dragunov | 71–90 | 44.10% |
| sstvenn vs Hwoarang | 74–72 | 50.68% |
| sstvenn vs Steve | 78–64 | 54.93% |
| sstvenn vs Heihachi | 61–62 | 49.59% |
| sstvenn vs Jun | 54–64 | 45.76% |
| sstvenn vs Fahkumram | 50–66 | 43.10% |
| sstvenn vs Armor King | 52–63 | 45.22% |
| sstvenn vs Eddy | 64–47 | 57.66% |
| sstvenn vs Paul | 47–57 | 45.19% |
| sstvenn vs Lee | 37–46 | 44.58% |
| sstvenn vs Devil Jin | 34–40 | 45.95% |
| sstvenn vs Lars | 43–31 | 58.11% |
| sstvenn vs Azucena | 40–30 | 57.14% |
| sstvenn vs Lili | 28–39 | 41.79% |
| sstvenn vs Clive | 39–28 | 58.21% |
| sstvenn vs Xiaoyu | 30–33 | 47.62% |
| sstvenn vs Yoshimitsu | 23–39 | 37.10% |
| sstvenn vs Victor | 38–21 | 64.41% |
| sstvenn vs Asuka | 27–31 | 46.55% |
| sstvenn vs Lidia | 27–30 | 47.37% |
| sstvenn vs Anna | 19–37 | 33.93% |
| sstvenn vs Raven | 27–22 | 55.10% |
| sstvenn vs Feng | 15–29 | 34.09% |
| sstvenn vs Leo | 18–21 | 46.15% |
| sstvenn vs Miary Zo | 18–21 | 46.15% |
| sstvenn vs Leroy | 15–17 | 46.88% |
| sstvenn vs Jack-8 | 14–15 | 48.28% |
| sstvenn vs Nina | 10–19 | 34.48% |
| sstvenn vs Zafina | 11–16 | 40.74% |
| sstvenn vs Alisa | 8–18 | 30.77% |
| sstvenn vs Claudio | 13–11 | 54.17% |
| sstvenn vs Shaheen | 9–14 | 39.13% |
| sstvenn vs Kuma | 5–13 | 27.78% |
| sstvenn vs Panda | 5–7 | 41.67% |
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.