| Sn1perandr3w vs Jin | 115–82 | 58.38% |
| Sn1perandr3w vs Kazuya | 77–67 | 53.47% |
| Sn1perandr3w vs Bryan | 52–71 | 42.28% |
| Sn1perandr3w vs Hwoarang | 46–62 | 42.59% |
| Sn1perandr3w vs King | 43–53 | 44.79% |
| Sn1perandr3w vs Law | 47–47 | 50.00% |
| Sn1perandr3w vs Steve | 52–42 | 55.32% |
| Sn1perandr3w vs Reina | 63–22 | 74.12% |
| Sn1perandr3w vs Lili | 37–45 | 45.12% |
| Sn1perandr3w vs Paul | 31–48 | 39.24% |
| Sn1perandr3w vs Lee | 38–36 | 51.35% |
| Sn1perandr3w vs Dragunov | 30–42 | 41.67% |
| Sn1perandr3w vs Yoshimitsu | 26–40 | 39.39% |
| Sn1perandr3w vs Jun | 35–28 | 55.56% |
| Sn1perandr3w vs Asuka | 35–27 | 56.45% |
| Sn1perandr3w vs Devil Jin | 27–34 | 44.26% |
| Sn1perandr3w vs Lars | 30–23 | 56.60% |
| Sn1perandr3w vs Feng | 21–30 | 41.18% |
| Sn1perandr3w vs Alisa | 22–22 | 50.00% |
| Sn1perandr3w vs Azucena | 25–18 | 58.14% |
| Sn1perandr3w vs Xiaoyu | 24–17 | 58.54% |
| Sn1perandr3w vs Victor | 11–21 | 34.38% |
| Sn1perandr3w vs Eddy | 15–15 | 50.00% |
| Sn1perandr3w vs Raven | 15–13 | 53.57% |
| Sn1perandr3w vs Claudio | 11–16 | 40.74% |
| Sn1perandr3w vs Heihachi | 12–14 | 46.15% |
| Sn1perandr3w vs Nina | 14–10 | 58.33% |
| Sn1perandr3w vs Leroy | 11–10 | 52.38% |
| Sn1perandr3w vs Zafina | 6–13 | 31.58% |
| Sn1perandr3w vs Jack-8 | 7–11 | 38.89% |
| Sn1perandr3w vs Shaheen | 8–9 | 47.06% |
| Sn1perandr3w vs Kuma | 11–5 | 68.75% |
| Sn1perandr3w vs Leo | 4–8 | 33.33% |
| Sn1perandr3w vs Lidia | 6–4 | 60.00% |
| Sn1perandr3w vs Clive | 4–2 | 66.67% |
| Sn1perandr3w vs Panda | 2–2 | 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.