| sinx vs Armor King | 39–40 | 49.37% |
| sinx vs King | 24–31 | 43.64% |
| sinx vs Law | 19–23 | 45.24% |
| sinx vs Miary Zo | 27–12 | 69.23% |
| sinx vs Jin | 16–20 | 44.44% |
| sinx vs Steve | 21–9 | 70.00% |
| sinx vs Hwoarang | 12–11 | 52.17% |
| sinx vs Heihachi | 13–10 | 56.52% |
| sinx vs Kazuya | 16–6 | 72.73% |
| sinx vs Reina | 14–8 | 63.64% |
| sinx vs Fahkumram | 7–13 | 35.00% |
| sinx vs Asuka | 11–8 | 57.89% |
| sinx vs Azucena | 10–8 | 55.56% |
| sinx vs Feng | 8–9 | 47.06% |
| sinx vs Anna | 9–8 | 52.94% |
| sinx vs Dragunov | 11–5 | 68.75% |
| sinx vs Lee | 11–5 | 68.75% |
| sinx vs Leroy | 8–8 | 50.00% |
| sinx vs Lili | 5–9 | 35.71% |
| sinx vs Eddy | 6–8 | 42.86% |
| sinx vs Bryan | 5–8 | 38.46% |
| sinx vs Jun | 8–5 | 61.54% |
| sinx vs Claudio | 6–6 | 50.00% |
| sinx vs Victor | 9–3 | 75.00% |
| sinx vs Paul | 9–2 | 81.82% |
| sinx vs Yoshimitsu | 6–5 | 54.55% |
| sinx vs Nina | 6–5 | 54.55% |
| sinx vs Lars | 3–6 | 33.33% |
| sinx vs Devil Jin | 4–4 | 50.00% |
| sinx vs Xiaoyu | 2–5 | 28.57% |
| sinx vs Jack-8 | 5–2 | 71.43% |
| sinx vs Lidia | 3–4 | 42.86% |
| sinx vs Raven | 5–1 | 83.33% |
| sinx vs Leo | 3–1 | 75.00% |
| sinx vs Zafina | 1–3 | 25.00% |
| sinx vs Clive | 3–1 | 75.00% |
| sinx vs Alisa | 0–2 | 0.00% |
| sinx vs Kuma | 0–2 | 0.00% |
| sinx vs Panda | 1–1 | 50.00% |
| sinx vs Shaheen | 1–0 | 100.00% |
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.