| S7V7N vs Jin | 89–74 | 54.60% |
| S7V7N vs Kazuya | 66–96 | 40.74% |
| S7V7N vs Hwoarang | 89–58 | 60.54% |
| S7V7N vs Bryan | 62–61 | 50.41% |
| S7V7N vs King | 66–49 | 57.39% |
| S7V7N vs Reina | 63–50 | 55.75% |
| S7V7N vs Steve | 59–53 | 52.68% |
| S7V7N vs Yoshimitsu | 62–34 | 64.58% |
| S7V7N vs Dragunov | 40–46 | 46.51% |
| S7V7N vs Feng | 46–37 | 55.42% |
| S7V7N vs Law | 40–33 | 54.79% |
| S7V7N vs Paul | 37–34 | 52.11% |
| S7V7N vs Devil Jin | 31–36 | 46.27% |
| S7V7N vs Lars | 32–34 | 48.48% |
| S7V7N vs Lidia | 27–34 | 44.26% |
| S7V7N vs Lee | 29–30 | 49.15% |
| S7V7N vs Heihachi | 29–29 | 50.00% |
| S7V7N vs Lili | 29–28 | 50.88% |
| S7V7N vs Xiaoyu | 31–24 | 56.36% |
| S7V7N vs Alisa | 27–23 | 54.00% |
| S7V7N vs Azucena | 14–30 | 31.82% |
| S7V7N vs Asuka | 16–27 | 37.21% |
| S7V7N vs Nina | 19–23 | 45.24% |
| S7V7N vs Claudio | 27–14 | 65.85% |
| S7V7N vs Kuma | 21–20 | 51.22% |
| S7V7N vs Jack-8 | 20–20 | 50.00% |
| S7V7N vs Victor | 18–22 | 45.00% |
| S7V7N vs Eddy | 19–14 | 57.58% |
| S7V7N vs Jun | 20–11 | 64.52% |
| S7V7N vs Raven | 14–17 | 45.16% |
| S7V7N vs Leo | 8–20 | 28.57% |
| S7V7N vs Leroy | 9–19 | 32.14% |
| S7V7N vs Shaheen | 6–12 | 33.33% |
| S7V7N vs Panda | 10–5 | 66.67% |
| S7V7N vs Zafina | 3–10 | 23.08% |
| S7V7N vs Clive | 1–2 | 33.33% |
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.