| sighless vs King | 68–86 | 44.16% |
| sighless vs Kazuya | 38–85 | 30.89% |
| sighless vs Jin | 45–68 | 39.82% |
| sighless vs Heihachi | 43–58 | 42.57% |
| sighless vs Steve | 42–53 | 44.21% |
| sighless vs Fahkumram | 20–68 | 22.73% |
| sighless vs Law | 32–46 | 41.03% |
| sighless vs Reina | 28–50 | 35.90% |
| sighless vs Dragunov | 29–47 | 38.16% |
| sighless vs Bryan | 30–42 | 41.67% |
| sighless vs Asuka | 34–34 | 50.00% |
| sighless vs Eddy | 25–43 | 36.76% |
| sighless vs Lee | 21–44 | 32.31% |
| sighless vs Jun | 25–35 | 41.67% |
| sighless vs Yoshimitsu | 24–33 | 42.11% |
| sighless vs Hwoarang | 20–34 | 37.04% |
| sighless vs Lili | 20–30 | 40.00% |
| sighless vs Azucena | 17–32 | 34.69% |
| sighless vs Paul | 25–22 | 53.19% |
| sighless vs Armor King | 13–24 | 35.14% |
| sighless vs Xiaoyu | 18–16 | 52.94% |
| sighless vs Victor | 20–14 | 58.82% |
| sighless vs Feng | 12–21 | 36.36% |
| sighless vs Clive | 11–22 | 33.33% |
| sighless vs Lars | 8–22 | 26.67% |
| sighless vs Alisa | 11–18 | 37.93% |
| sighless vs Raven | 11–17 | 39.29% |
| sighless vs Leo | 3–24 | 11.11% |
| sighless vs Nina | 14–13 | 51.85% |
| sighless vs Leroy | 10–16 | 38.46% |
| sighless vs Lidia | 9–17 | 34.62% |
| sighless vs Devil Jin | 7–13 | 35.00% |
| sighless vs Jack-8 | 9–10 | 47.37% |
| sighless vs Anna | 4–11 | 26.67% |
| sighless vs Claudio | 4–8 | 33.33% |
| sighless vs Kuma | 7–4 | 63.64% |
| sighless vs Miary Zo | 2–8 | 20.00% |
| sighless vs Panda | 3–4 | 42.86% |
| sighless vs Zafina | 6–1 | 85.71% |
| sighless vs Shaheen | 3–3 | 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.