| w-ruy1 vs Reina | 21–22 | 48.84% |
| w-ruy1 vs King | 21–20 | 51.22% |
| w-ruy1 vs Dragunov | 20–19 | 51.28% |
| w-ruy1 vs Kazuya | 19–19 | 50.00% |
| w-ruy1 vs Jin | 19–15 | 55.88% |
| w-ruy1 vs Paul | 16–17 | 48.48% |
| w-ruy1 vs Hwoarang | 15–17 | 46.88% |
| w-ruy1 vs Lili | 20–10 | 66.67% |
| w-ruy1 vs Steve | 12–14 | 46.15% |
| w-ruy1 vs Alisa | 15–11 | 57.69% |
| w-ruy1 vs Asuka | 19–6 | 76.00% |
| w-ruy1 vs Xiaoyu | 10–13 | 43.48% |
| w-ruy1 vs Jack-8 | 9–12 | 42.86% |
| w-ruy1 vs Jun | 13–7 | 65.00% |
| w-ruy1 vs Victor | 10–9 | 52.63% |
| w-ruy1 vs Azucena | 8–8 | 50.00% |
| w-ruy1 vs Bryan | 8–6 | 57.14% |
| w-ruy1 vs Law | 1–12 | 7.69% |
| w-ruy1 vs Leroy | 6–7 | 46.15% |
| w-ruy1 vs Devil Jin | 5–6 | 45.45% |
| w-ruy1 vs Feng | 5–6 | 45.45% |
| w-ruy1 vs Leo | 5–6 | 45.45% |
| w-ruy1 vs Lars | 7–4 | 63.64% |
| w-ruy1 vs Nina | 6–4 | 60.00% |
| w-ruy1 vs Lee | 4–4 | 50.00% |
| w-ruy1 vs Eddy | 5–3 | 62.50% |
| w-ruy1 vs Claudio | 2–5 | 28.57% |
| w-ruy1 vs Kuma | 1–6 | 14.29% |
| w-ruy1 vs Shaheen | 3–3 | 50.00% |
| w-ruy1 vs Armor King | 3–3 | 50.00% |
| w-ruy1 vs Zafina | 1–4 | 20.00% |
| w-ruy1 vs Raven | 1–4 | 20.00% |
| w-ruy1 vs Yoshimitsu | 1–3 | 25.00% |
| w-ruy1 vs Clive | 3–1 | 75.00% |
| w-ruy1 vs Lidia | 3–0 | 100.00% |
| w-ruy1 vs Panda | 1–1 | 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.