| Si_ux_ vs King | 28–29 | 49.12% |
| Si_ux_ vs Kazuya | 24–26 | 48.00% |
| Si_ux_ vs Law | 22–25 | 46.81% |
| Si_ux_ vs Hwoarang | 19–22 | 46.34% |
| Si_ux_ vs Bryan | 15–20 | 42.86% |
| Si_ux_ vs Jin | 14–19 | 42.42% |
| Si_ux_ vs Reina | 17–16 | 51.52% |
| Si_ux_ vs Paul | 16–14 | 53.33% |
| Si_ux_ vs Nina | 17–5 | 77.27% |
| Si_ux_ vs Victor | 14–8 | 63.64% |
| Si_ux_ vs Steve | 5–16 | 23.81% |
| Si_ux_ vs Lili | 9–12 | 42.86% |
| Si_ux_ vs Dragunov | 9–12 | 42.86% |
| Si_ux_ vs Yoshimitsu | 13–7 | 65.00% |
| Si_ux_ vs Eddy | 5–13 | 27.78% |
| Si_ux_ vs Fahkumram | 8–10 | 44.44% |
| Si_ux_ vs Asuka | 7–10 | 41.18% |
| Si_ux_ vs Lars | 9–6 | 60.00% |
| Si_ux_ vs Clive | 4–10 | 28.57% |
| Si_ux_ vs Feng | 8–5 | 61.54% |
| Si_ux_ vs Azucena | 9–4 | 69.23% |
| Si_ux_ vs Alisa | 3–8 | 27.27% |
| Si_ux_ vs Heihachi | 2–9 | 18.18% |
| Si_ux_ vs Jun | 2–8 | 20.00% |
| Si_ux_ vs Jack-8 | 3–6 | 33.33% |
| Si_ux_ vs Kuma | 2–7 | 22.22% |
| Si_ux_ vs Panda | 5–4 | 55.56% |
| Si_ux_ vs Leroy | 5–4 | 55.56% |
| Si_ux_ vs Claudio | 4–4 | 50.00% |
| Si_ux_ vs Lidia | 4–4 | 50.00% |
| Si_ux_ vs Xiaoyu | 2–5 | 28.57% |
| Si_ux_ vs Shaheen | 6–1 | 85.71% |
| Si_ux_ vs Devil Jin | 4–2 | 66.67% |
| Si_ux_ vs Anna | 4–2 | 66.67% |
| Si_ux_ vs Leo | 2–3 | 40.00% |
| Si_ux_ vs Lee | 1–4 | 20.00% |
| Si_ux_ vs Miary Zo | 2–0 | 100.00% |
| Si_ux_ vs Zafina | 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.