| Silksonicxz vs King | 24–30 | 44.44% |
| Silksonicxz vs Reina | 26–27 | 49.06% |
| Silksonicxz vs Steve | 19–25 | 43.18% |
| Silksonicxz vs Kazuya | 18–24 | 42.86% |
| Silksonicxz vs Jin | 9–28 | 24.32% |
| Silksonicxz vs Lili | 11–26 | 29.73% |
| Silksonicxz vs Law | 8–26 | 23.53% |
| Silksonicxz vs Hwoarang | 14–17 | 45.16% |
| Silksonicxz vs Bryan | 12–17 | 41.38% |
| Silksonicxz vs Eddy | 4–25 | 13.79% |
| Silksonicxz vs Jun | 10–13–1 | 43.48% |
| Silksonicxz vs Yoshimitsu | 13–10 | 56.52% |
| Silksonicxz vs Nina | 10–13 | 43.48% |
| Silksonicxz vs Dragunov | 4–11 | 26.67% |
| Silksonicxz vs Xiaoyu | 8–6 | 57.14% |
| Silksonicxz vs Lars | 2–11 | 15.38% |
| Silksonicxz vs Lidia | 7–6 | 53.85% |
| Silksonicxz vs Heihachi | 4–9 | 30.77% |
| Silksonicxz vs Alisa | 3–9 | 25.00% |
| Silksonicxz vs Clive | 5–7 | 41.67% |
| Silksonicxz vs Devil Jin | 2–9 | 18.18% |
| Silksonicxz vs Leo | 5–6 | 45.45% |
| Silksonicxz vs Lee | 5–6 | 45.45% |
| Silksonicxz vs Jack-8 | 4–6 | 40.00% |
| Silksonicxz vs Feng | 5–5 | 50.00% |
| Silksonicxz vs Victor | 3–7 | 30.00% |
| Silksonicxz vs Claudio | 5–4 | 55.56% |
| Silksonicxz vs Leroy | 5–4 | 55.56% |
| Silksonicxz vs Azucena | 4–5 | 44.44% |
| Silksonicxz vs Raven | 3–6 | 33.33% |
| Silksonicxz vs Paul | 1–6 | 14.29% |
| Silksonicxz vs Asuka | 3–4 | 42.86% |
| Silksonicxz vs Kuma | 2–5 | 28.57% |
| Silksonicxz vs Armor King | 1–5 | 16.67% |
| Silksonicxz vs Zafina | 4–1 | 80.00% |
| Silksonicxz vs Anna | 1–3 | 25.00% |
| Silksonicxz vs Shaheen | 2–1 | 66.67% |
| Silksonicxz vs Miary Zo | 0–1 | 0.00% |
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.